Cancer Research and Treatment

Special Articles

Cancer Statistics in Korea: Incidence, Mortality, Survival, and Prevalence in 2022: Eun Hye Park, Kyu-Won Jung, Nam Ju Park, Mee Joo Kang, E Hwa Yun, Hye-Jin Kim, Jeong-Eun Kim, Hyun-Joo Kong, Kui-Son Choi, Han-Kwang Yang, The Community of Population-Based Regional Cancer Registries; Cancer Res Treat. 2025;57(2):312-330. Published online March 11, 2025; DOI: https://doi.org/10.4143/crt.2025.264

Abstract PDF Supplementary Material PubReader ePub: Purpose
The current study provides national cancer statistics and their secular trends in Korea, including incidence, mortality, survival, and prevalence in 2022, with international comparisons.
Materials and Methods
Cancer incidence, survival, and prevalence rates were calculated using the Korea National Cancer Incidence Database (1999-2022), with survival follow-up until December 31, 2023. Mortality data obtained from Statistics Korea, while international comparisons were based on GLOBOCAN data.
Results
In 2022, 282,047 newly diagnosed cancer cases (age-standardized rate [ASR], 287.0 per 100,000) and 83,378 deaths from cancer (ASR, 65.7 per 100,000) were reported. The proportion of localized-stage cancers increased from 45.6% in 2005 to 50.9% in 2022. Stomach, colorectal, and breast cancer showed increased localized-stage diagnoses by 18.1, 18.5, and 9.9 percentage points, respectively. Compared to 2001-2005, the 5-year relative survival (2018-2022) increased by 20.4 percentage points for stomach cancer, 7.6 for colorectal cancer, and 5.6 for breast cancer. Korea had the lowest cancer mortality among countries with similar incidence rates and the lowest mortality-to-incidence (M/I) ratios for these cancers. The 5-year relative survival (2018-2022) was 72.9%, contributing to over 2.59 million prevalent cases in 2022.
Conclusion
Since the launch of the National Cancer Screening Program in 2002, early detection has improved, increasing the diagnosis of localized-stage cancers and survival rates. Korea recorded the lowest M/I ratio among major comparison countries, demonstrating the effectiveness of its National Cancer Control Program.

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Prediction of Cancer Incidence and Mortality in Korea, 2025: Kyu-Won Jung, Mee Joo Kang, Eun Hye Park, E Hwa Yun, Hye-Jin Kim, Jeong-Eun Kim, Hyun-Joo Kong, Kui Son Choi, Han-Kwang Yang; Cancer Res Treat. 2025;57(2):331-338. Published online March 11, 2025; DOI: https://doi.org/10.4143/crt.2025.263

Abstract PDF PubReader ePub: Purpose
This study aimed to project cancer incidence and mortality for 2025 to estimate Korea’s current cancer burden.
Materials and Methods
Cancer incidence data from 1999 to 2022 were obtained from the Korea National Cancer Incidence Database, while cancer mortality data from 1993 to 2023 were acquired from Statistics Korea. Cancer incidence and mortality were projected by fitting a linear regression model to observed age-specific cancer rates against their respective years and then by multiplying the projected age-specific rates by the anticipated age-specific population for 2025. A joinpoint regression model was applied to identify significant changes in trends, using only the most recent trend data for predictions.
Results
A total of 304,754 new cancer cases and 84,019 cancer deaths are expected in Korea in 2025. The most commonly diagnosed cancer is projected to be thyroid cancer, followed by the colorectal, lung, breast, prostate and stomach cancers. These six cancers are expected to account for 63.8% of the total cancer burden. Lung cancer is expected to be the leading cause of cancer-related deaths, followed by liver, colorectal, pancreatic, stomach, and gallbladder cancers, together comprising 66.6% of total cancer deaths.
Conclusion
The increasing incidence of female breast cancer and the rise in prostate and pancreatic cancers are expected to continue. As aging accelerates, cancer commonly found in older adults are projected to rise significantly.

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Original Articles

Detection Ability of Quality of Life Changes and Responsiveness of the KOQUSS-40 and the EORTC QLQ-C30/STO22 in Patients Who Underwent Gastrectomy: A Prospective Comparative Study: Bang Wool Eom, Keun Won Ryu, Ji Yeong An, Yun-Suhk Suh, In Cho, Sung Geun Kim, Ji-Ho Park, Hoon Hur, Hyung-Ho Kim, Sang-Hoon Ahn, Sun-Hwi Hwang, Hong Man Yoon, Ki Bum Park, Hyoung-Il Kim, In-Gyu Kwon, Han-Kwang Yang, Byoung-Jo Suh, Sang-Ho Jeong, Tae-Han Kim, Oh Kyoung Kwon, Hye-Seong Ahn, Ji Yeon Park, Ki Young Yoon, Myoung Won Son, Seong-Ho Kong, Young-Gil Son, Geum Jong Song, Jong Hyuk Yun, Jung-Min Bae, Do Joong Park, Sol Lee, Jun-Young Yang, Kyung Won Seo, You-Jin Jang, So Hyun Kang, Joongyub Lee, Hyuk-Joon Lee, on behalf of KOrean QUality of life in Stomach cancer patients Study group (KOQUSS); Received November 20, 2024 Accepted February 28, 2025 Published online March 5, 2025; DOI: https://doi.org/10.4143/crt.2024.1104 [Accepted]

Abstract PDF: Purpose
The aim of this study is to compare the detection ability of quality of life (QoL) changes and responsiveness of the KOrean QUality of life in Stomach cancer patients Study group (KOQUSS)-40 and European Organization for Research and Treatment of Cancer Quality of Life Questionnaire (EORTC QLQ).
Materials and Methods
A multicenter prospective observational study was conducted to evaluate QoL changes after various gastrectomies between January 2021 and April 2022. Participants were instructed to complete the KOQUSS-40 and EORTC QLQ-C30/STO22 preoperatively and at 1, 3, 6, and 12 months postoperatively. QoL changes over time and QoL responsiveness were assessed for each questionnaire.
Results
Data from 491 patients who underwent curative gastrectomy for gastric cancer at 22 institutions were analyzed. The summary scores of the KOQUSS-40 and EORTC QLQ-STO22 showed significant differences between the total and proximal gastrectomy groups (p=0.044 and 0.038, respectively), but no difference was observed for the EORTC QLQ-C30. Dysphagia on the KOQUSS-40 was significantly different between the total and proximal gastrectomy groups (p=0.044); however, dysphagia on the EORTC QLQ-STO22 did not differ. The responsiveness of the KOQUSS-40 was similar to that of the EORTC QLQ in patients who experienced ≥10% body weight loss, but approximately 10% less in patients receiving adjuvant chemotherapy than the EORTC QLQ.
Conclusion
KOQUSS-40 has several advantages over EORTC QLQ-C30/STO22 when comparing QoL between the total and proximal gastrectomy groups. The findings provide information for researchers investigating the QoL of patients who have undergone curative gastrectomy for gastric cancer.

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Epidermal Growth Factor Receptor Aberrations Identified by Next-generation Sequencing in Patients with Metastatic Cancers: Minkyue Shin, Dae-Ho Choi, Jaeyun Jung, Deok geun Kim, Sung Hee Lim, Seung Tae Kim, Jung Yong Hong, Se Hoon Park, Joon Oh Park, Kyoung-Mee Kim, Jeeyun Lee; Received June 17, 2024 Accepted January 21, 2025 Published online February 21, 2025; DOI: https://doi.org/10.4143/crt.2024.564 [Accepted]

Abstract PDF: Purpose
The epidermal growth factor receptor (EGFR) is a therapeutic target with confirmed clinical efficacy for several cancer types. We aimed to identify EGFR aberrations and their associations with other genomic alterations in patients with metastatic diseases of various cancers.
Materials and Methods
We used real-world data from the next-generation sequencing (NGS) of 3,286 patients with metastatic cancer at the Samsung Medical Center. We analyzed the distribution of EGFR amplification, mutation, and fusion, as well as their correlations with microsatellite instability (MSI), tumor mutation burden (TMB), and other gene aberrations.
Results
A total of 3,286 patients were tested using NGS of a panel covering 523 cancer-related genes (TSO500, Illumina) as part of clinical practice between October 2019 and October 2022. Patients with lung cancer and gliomas were not included in the analysis. Of the 3,286 patients, 175 (5.3%) had EGFR amplification, 38 (1.2%) had EGFR mutations, and 8 (0.2%) had EGFR fusion. All 175 patients with EGFR amplifications had microsatellite-stable (MSS) tumors, but 102 had co-amplifications in other cancer-related genes, and 78 had mutations with clinical significance (tier I/II). Among the 38 patients with EGFR mutations, three (8%) showed MSI-high status, and eleven (29%) demonstrated high TMB (≥ 10 mutations/mb). Among eight patients with EGFR fusion, three exhibited possible functionalities of the EGFR gene.
Conclusion
EGFR aberrations, mainly amplification, followed by mutation and fusion, were present in 6.4% of patients with metastatic solid tumors.

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Stereotactic Ablative Radiotherapy Versus Surgery in Patients with Pulmonary Metastases from Colorectal Cancer: Byung min Lee, Ha Eun Kim, Young Ho Yang, Seung Yoon Yang, Han Sang Kim, Seo Hee Choi, Woong Sub Koom, Byung Jo Park, Jee Suk Chang; Received October 29, 2024 Accepted February 5, 2025 Published online February 6, 2025; DOI: https://doi.org/10.4143/crt.2024.1040 [Accepted]

Abstract PDF: Purpose
We compared the local control rate and toxicity of stereotactic ablative radiotherapy (SABR) versus wedge resection for colorectal pulmonary metastases.
Materials and Methods
We retrospectively reviewed medical charts and imaging of patients treated with SABR or wedge resection between 2010 and 2017 at a single institution.
Results
There were 404 patients who were treated with local therapy for 528 pulmonary metastatic lesions. While surgery was frequently used upfront for smaller, solitary metastases without other site involvement, SABR was often used for larger, multiple lesions and disease burdens beyond the lungs. The 3-year local control rate was 88.6% following surgery, which was not significantly different from that with SABR at 86.7% (p=0.174). No major postoperative complications or mortality were observed in the surgery group, and 2.8% of patients in the SABR group experienced grade 3-4 radiation pneumonitis.
Conclusion
SABR was used in patients with a higher risk of progression compared to those undergoing surgery, yet it has similar local control rates to wedge resection.

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Clinical Characteristics of and Treatment Pattern for EGFR-Amplified Colorectal Cancer: Seong-Eun Kim, Hyehyun Jeong, Sun Young Kim, Jeong Eun Kim, Yong Sang Hong, Deokhoon Kim, Jihun Kim, Ji Sung Lee, Tae-Won Kim; Received June 17, 2024 Accepted January 7, 2025 Published online January 10, 2025; DOI: https://doi.org/10.4143/crt.2024.569 [Accepted]

Abstract PDF: Purpose
To compare clinicopathologic features and clinical outcomes of metastatic colorectal cancer (mCRC) based on EGFR amplification status.
Materials and Methods
Patients with mCRC who underwent next-generation sequencing using a targeted 244-gene panel from 2016 to 2021 were identified and screened for EGFR copy numbers. Cases with at least 5 copies were reviewed for tumor purity adjustment, and those with an adjusted copy number of ≥6 were defined as EGFR-amplified (EGFR amp+). Their clinical characteristics were compared with those without EGFR amplification (EGFR amp-).
Results
Among 2,421 patients, 35 (1.4%) were EGFR amp+. Clinical characteristics did not significantly differ according to EGFR amplification status, but EGFR amp+ cases had fewer instances of peritoneal seeding (8.6% vs. 21.8%). Overall survival (OS) tended to be better in EGFR amp+ patients compared with EGFR amp- patients (median OS 76 vs. 37 months, p=0.15). Among 572 patients who received anti-EGFR antibody-based chemotherapy (anti-EGFR CTx) during disease course, mOS tended to be better in 16 EGFR amp+ patients (79 months) compared with 556 EGFR amp- patients (39 months, p=0.048). Seven out of 35 EGFR amp+ patients were treated with front-line anti-EGFR CTx, and their progression-free survival did not differ from that of EGFR amp- patients treated with front-line anti-EGFR CTx (20 vs. 14 months, p=0.344).
Conclusion
This study may suggest a favorable predictive impact of EGFR amplification in patients treated with anti-EGFR CTx. However, the benefit of front-line anti-EGFR antibody treatment in this group was not notable.

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Palliative medicine

Factors Affecting Life-Sustaining Treatment Decisions and Changes in Clinical Practice after Enforcement of the Life-Sustaining Treatment (LST) Decision Act: A Tertiary Hospital Experience in Korea: Yoon Jung Jang, Yun Jung Yang, Hoi Jung Koo, Hye Won Yoon, Seongbeom Uhm, Sun Young Kim, Jeong Eun Kim, Jin Won Huh, Tae Won Kim, Seyoung Seo; Cancer Res Treat. 2025;57(1):280-288. Published online July 1, 2024; DOI: https://doi.org/10.4143/crt.2024.360

Abstract PDF Supplementary Material PubReader ePub: Purpose
In Korea, the Act on Hospice and Palliative Care and Decisions on Life-Sustaining Treatment (LST) was implemented on February 4, 2018. We aimed to investigate relevant factors and clinical changes associated with LST decisions after law enforcement.
Materials and Methods
This single-center retrospective study included patients who completed LST documents using legal forms at Asan Medical Center from February 5, 2018, to June 30, 2020.
Results
5,896 patients completed LST documents, of which 2,704 (45.8%) signed the documents in person, while family members of 3,192 (54%) wrote the documents on behalf of the patients. Comparing first year and following year of implementation of the act, the self-documentation rate increased (43.9% to 47.2%, p=0.014). Moreover, the number of LST decisions made during or after intensive care unit admission decreased (37.8% vs. 35.2%, p=0.045), and the completion rate of LST documents during chemotherapy increased (6.6% vs. 8.9%, p=0.001). In multivariate analysis, age < 65 (odds ratio [OR], 1.724; 95% confidence interval [CI], 1.538 to 1.933; p < 0.001), unmarried status (OR, 1.309; 95% CI, 1.097 to 1.561; p=0.003), palliative care consultation (OR, 1.538; 95% CI, 1.340 to 1.765; p < 0.001), malignancy (OR, 1.864; 95% CI, 1.628 to 2.133; p < 0.001), and changes in timing on the first year versus following year (OR, 1.124; 95% CI, 1.003 to 1.260; p=0.045) were related to a higher self-documentation rate.
Conclusion
Age < 65 years, unmarried status, malignancy, and referral to a palliative care team were associated with patients making LST decisions themselves. Furthermore, the subject and timing of LST decisions have changed with the LST act.

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Review Article

Precision Oncology Clinical Trials: A Systematic Review of Phase II Clinical Trials with Biomarker-Driven, Adaptive Design: Hyerim Ha, Hee Yeon Lee, Jee Hyun Kim, Do Yeun Kim, Ho Jung An, SeungJin Bae, Hye-sung Park, Jin Hyoung Kang; Cancer Res Treat. 2024;56(4):991-1013. Published online May 7, 2024; DOI: https://doi.org/10.4143/crt.2024.128

Abstract PDF Supplementary Material PubReader ePub: Novel clinical trial designs are conducted in the precision medicine era. This study aimed to evaluate biomarker-driven, adaptive phase II trials in precision oncology, focusing on infrastructure, efficacy, and safety. We systematically reviewed and analyzed the target studies. EMBASE and PubMed searches from 2015 to 2023 generated 29 eligible trials. Data extraction included infrastructure, biomarker screening methodologies, efficacy, and safety profiles. Government agencies, cancer hospitals, and academic societies with accumulated experiences led investigator-initiated precision oncology clinical trials (IIPOCTs), which later guided sponsor-initiated precision oncology clinical trials (SIPOCTs). Most SIPOCTs were international studies with basket design. IIPOCTs primarily used the central laboratory for biomarker screening, but SIPOCTs used both central and local laboratories. Most of the studies adapted next-generation sequencing and/or immunohistochemistry for biomarker screening. Fifteen studies included an independent central review committee for outcome investigation. Efficacy assessments predominantly featured objective response rate as the primary endpoint, with varying results. Nine eligible studies contributed to the United States Food and Drug Administration’s marketing authorization. Safety monitoring was rigorous, but reporting formats lacked uniformity. Health-related quality of life and patient-reported outcomes were described in some protocols but rarely reported. Our results reveal that precision oncology trials with adaptive design rapidly and efficiently evaluate anticancer drugs’ efficacy and safety, particularly in specified biomarker-driven cohorts. The evolution from IIPOCT to SIPOCT has facilitated fast regulatory approval, providing valuable insights into the precision oncology landscape.

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Original Articles

Gastrointestinal cancer

Longitudinal Comparative Analysis of Circulating Tumor DNA and Matched Tumor Tissue DNA in Patients with Metastatic Colorectal Cancer Receiving Palliative First-Line Systemic Anti-Cancer Therapy: Seung-been Lee, Ji-Won Kim, Hong-Geun Kim, Sung-Hyun Hwang, Kui-Jin Kim, Ju Hyun Lee, Jeongmin Seo, Minsu Kang, Eun Hee Jung, Koung Jin Suh, Se Hyun Kim, Jin Won Kim, Yu Jung Kim, Jee Hyun Kim, Nak-Jung Kwon, Keun-Wook Lee; Cancer Res Treat. 2024;56(4):1171-1182. Published online April 29, 2024; DOI: https://doi.org/10.4143/crt.2024.016

Abstract PDF Supplementary Material PubReader ePub

Purpose
This study aimed to compare tumor tissue DNA (ttDNA) and circulating tumor DNA (ctDNA) to explore the clinical applicability of ctDNA and to better understand clonal evolution in patients with metastatic colorectal cancer undergoing palliative first-line systemic therapy.
Materials and Methods
We performed targeted sequencing analysis of 88 cancer-associated genes using germline DNA, ctDNA at baseline (baseline-ctDNA), and ctDNA at progressive disease (PD-ctDNA). The results were compared with ttDNA data.
Results
Among 208 consecutively enrolled patients, we selected 84 (41 males; median age, 59 years; range, 35 to 90 years) with all four sample types available. A total of 202 driver mutations were found in 34 genes. ttDNA exhibited the highest mutation frequency (n=232), followed by baseline-ctDNA (n=155) and PD-ctDNA (n=117). Sequencing ctDNA alongside ttDNA revealed additional mutations in 40 patients (47.6%). PD-ctDNA detected 13 novel mutations in 10 patients (11.9%) compared to ttDNA and baseline-ctDNA. Notably, seven mutations in five patients (6.0%) were missense or nonsense mutations in APC, TP53, SMAD4, and CDH1 genes. In baseline-ctDNA, higher maximal variant allele frequency (VAF) values (p=0.010) and higher VAF values of APC (p=0.012), TP53 (p=0.012), and KRAS (p=0.005) mutations were significantly associated with worse overall survival.
Conclusion
While ttDNA remains more sensitive than ctDNA, our ctDNA platform demonstrated validity and potential value when ttDNA was unavailable. Post-treatment analysis of PD-ctDNA unveiled new pathogenic mutations, signifying cancer’s clonal evolution. Additionally, baseline-ctDNA’s VAF values were prognostic after treatment.

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Precision-Guided Durable Response From Venetoclax With Decitabine in a Patient With a Metastatic Refractory IDH2 -Mutant Cholangiocarcinoma
Eylül Özgü, Ünal Metin Tokat, Ashkan Adibi, Şevval Nur Bilgiç, Esranur Aydın, Onur Tutar, Mutlu Demiray
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Evolution of Neo-RAS-WT in Circulating Tumor DNA from First-Line to Subsequent Therapies in Metastatic Colorectal Cancer
Marco Siringo, Michela De Meo, Irene Bottillo, Paola Grammatico, Enrico Cortesi, Chiara Nicolazzo, Paola Gazzaniga
Cancers.2025; 17(7): 1070. CrossRef

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2 Web of Science
2 Crossref

Association between Endoscopist Volume and Interval Cancers after Colonoscopy: Results from the National Colorectal Cancer Screening Program in Korea: Dong Jun Kim, Nan-He Yoon, Jae Kwan Jun, Mina Suh, Sunhwa Lee, Seongju Kim, Ji Eun Kim, Hooyeon Lee; Cancer Res Treat. 2024;56(4):1164-1170. Published online April 16, 2024; DOI: https://doi.org/10.4143/crt.2024.009

Abstract PDF Supplementary Material PubReader ePub

Purpose
The rate of interval colorectal cancer (iCRC) is now accepted as a key performance indicator of organized colorectal cancer (CRC) screening programs. We aimed to examine the association between endoscopist volumes and the rate of iCRC among individuals with a positive fecal immunochemical test (FIT) within a nationwide population-based CRC screening program.
Materials and Methods
Individuals aged ≥ 50 years who underwent colonoscopy after a positive FIT from January 1, 2019 until December 31, 2020 in the Korean National Cancer Screening Program (KNCSP) were enrolled. We converted the data into per-endoscopist screening results, calculated the iCRC rates per endoscopist, and compared them to the previous year’s annual volume that was divided into five groups (V1, 1-9; V2, 10-29; V3, 30-59; V4, 60-119; V5, ≥ 120).
Results
A total of 10,412 endoscopists performed 216,907 colonoscopies. Overall, the average rate of iCRC per endoscopist was 8.46 per 1,000 examinations. Compared with the group with the highest volume (V5 group), the rate of iCRC was 2.21 times higher in the V1 group. Similar trends were observed in the other groups (V2: relative risks [RR], 2.15; 95% confidence interval [CI], 1.57 to 2.94; V3: RR, 1.56; 95% CI, 1.15 to 2.13; V4: RR, 1.18; 95% CI, 0.83 to 1.67).
Conclusion
The findings emphasize that endoscopists with lower procedure volumes have higher risks of interval cancer being missed or undetected. To maximize the preventative impact of colonoscopy for CRC, this issue should be addressed by monitoring endoscopist volumes and variations in performances.

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Biennial Mammography Performance in the Korean National Cancer Screening Program From 2009 to 2020
Dong Jun Kim, Nan-He Yoon, Jae Kwan Jun, Mina Suh, Sunhwa Lee, Seongju Kim, Horim A. Hwang, Seung Eun Jung, Hooyeon Lee
Korean Journal of Radiology.2025; 26(4): 313. CrossRef
Preliminary reports of lung cancer screening with low-dose computed tomography: a nationwide performance on the Korean population in 2019–2020
Horim A. Hwang, Dong Jun Kim, Nan-He Yoon, Jae Kwan Jun, Mina Suh, Sunhwa Lee, Seongju Kim, Seung Eun Jung, Hooyeon Lee
European Radiology.2025;[Epub] CrossRef

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2 Web of Science
2 Crossref

Special Articles

Cancer Statistics in Korea: Incidence, Mortality, Survival, and Prevalence in 2021: Eun Hye Park, Kyu-Won Jung, Nam Ju Park, Mee Joo Kang, E Hwa Yun, Hye-Jin Kim, Jeong-Eun Kim, Hyun-Joo Kong, Jeong-Soo Im, Hong Gwan Seo, The Community of Population-Based Regional Cancer Registries; Cancer Res Treat. 2024;56(2):357-371. Published online March 13, 2024; DOI: https://doi.org/10.4143/crt.2024.253

Abstract PDF Supplementary Material PubReader ePub

Purpose
The current study provides national cancer statistics and their secular trends in Korea, including incidence, mortality, survival, and prevalence in 2021.
Materials and Methods
Incidence, survival, and prevalence rates of cancer were calculated using the Korea National Cancer Incidence Database, from 1999 to 2021, with survival follow-up until December 31, 2022. Deaths from cancer were assessed using causes-of-death data obtained from Statistics Korea.
Results
The number of new cancer diagnoses in 2021 increased by 27,002 cases (10.8%) compared to 2020. In 2021, newly diagnosed cancer cases and deaths from cancer were reported as 277,523 (age-standardized rate [ASR], 289.3 per 100,000) and 82,688 (ASR, 67.6 per 100,000), respectively. The overall cancer incidence rates increased by 3.3% annually from 1999 to 2012, and decreased by 5.3% from 2012 to 2015, thereafter, followed by non-significant changes. Cancer mortality rates have been decreasing since 2002, with more rapid decline in recent years (annual decrease of 2.8% from 2002 to 2013; 3.2% from 2013 to 2021). The 5-year relative survival between 2017 and 2021 was 72.1%, which contributed to prevalent cases reaching over 2.4 million in 2021.
Conclusion
In 2021, the number of newly diagnosed cancer patients increased as healthcare utilization recovered from the coronavirus disease 2019–related declines of 2020. Revised cancer registration guidelines expanded the registration scope, particularly for stomach and colorectal cancer. Survival rates have improved over the years, leading to a growing population of cancer survivors, necessitating a comprehensive cancer control strategy. The long-term impact of the pandemic on cancer statistics requires future investigation.

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Total gastrectomy patients had a lower diet volume and greater diet frequency than distal gastrectomy patients after 6 months
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Prediction of Cancer Incidence and Mortality in Korea, 2024: Kyu-Won Jung, Mee Joo Kang, Eun Hye Park, E Hwa Yun, Hye-Jin Kim, Jeong-Eun Kim, Hyun-Joo Kong, Jeong-Soo Im, Hong Gwan Seo; Cancer Res Treat. 2024;56(2):372-379. Published online March 11, 2024; DOI: https://doi.org/10.4143/crt.2024.252

Abstract PDF PubReader ePub

Purpose
This study aimed to report the projected cancer incidence and mortality for the year 2024 to estimate Korea’s current cancer burden.
Materials and Methods
Cancer incidence data from 1999 to 2021 were obtained from the Korea National Cancer Incidence Database, and cancer mortality data from 1993 to 2022 were acquired from Statistics Korea. Cancer incidence and mortality were projected by fitting a linear regression model to observed age-specific cancer rates against their respective years and multiplying the projected age-specific rates by the anticipated age-specific population for 2024. A joinpoint regression model was used to determine the year in which the linear trend changed significantly; we only used the data of the latest trend for prediction.
Results
In total, 292,221 new cancer cases and 83,770 cancer deaths are expected to occur in Korea in 2024. The most common cancer site is expected to be the thyroid, followed by the colon and rectum, lung, breast, and stomach. These five cancers are expected to represent 55.7% of the overall burden of cancer in Korea. The most common type of cancer leading to death is expected to be lung cancer, followed by liver, colorectal, pancreatic, and stomach cancers.
Conclusion
The age-standardized incidence rates for female breast and prostate cancers are estimated to continue to increase. These up-to-date estimates of the cancer burden in Korea could be an important resource for planning and evaluating cancer-control programs.

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Efficacy and safety of herbal medicine treatment on postsurgical recovery in gastric cancer patients: A systematic review and meta-analysis
Soo-Dam Kim, Sook-Jin Pyo, Dong-Hyeon Kim, Hwa-Seung Yoo, So-Jung Park
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Comparison of definitive radiotherapy outcomes between younger and older patients with high- or very-high-risk prostate cancer
Yong-Hyub Kim, Jae-Uk Jeong, Jung-Ho Yang, Taek-Keun Nam, Ju-Young Song, Mee Sun Yoon, Shinhaeng Cho, Sung-Ja Ahn
Radiotherapy and Oncology.2025; 205: 110763. CrossRef
Association Between Prostate Cancer Detection Rate and Year of Prostate Biopsy
Young Jun Uhm, Woojin Bang, Jae Hoon Chung, Cheol Young Oh, Hwanik Kim, Jin Seon Cho
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Association between sedentary behavior, depressive symptoms, and the risk of all-cause and cause-specific mortality among U.S. cancer survivors
Ping Yao, Ying Zhong, Zhigong Wei
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A Urologist’s Perspective: Initial Experiences With SpaceOAR Hydrogel Insertion for Prostate Cancer Patients
Hyunho Han, Ik Jae Lee, Woong Sub Koom, Chan Woo Wee, Woong Kyu Han
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2023 Update of the Korean Thyroid Association Guidelines for the Management of Thyroid Nodules
Eun Kyung Lee, Young Joo Park
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Original Articles

General

Phase 1/2a Study of Rivoceranib, a Selective VEGFR-2 Angiogenesis Inhibitor, in Patients with Advanced Solid Tumors: Yoon-Koo Kang, Min-Hee Ryu, Yong Sang Hong, Chang-Min Choi, Tae Won Kim, Baek-Yeol Ryoo, Jeong Eun Kim, John R. Weis, Rachel Kingsford, Cheol Hee Park, Seong Jang, Arlo McGinn, Theresa L. Werner, Sunil Sharma; Cancer Res Treat. 2024;56(3):743-750. Published online January 18, 2024; DOI: https://doi.org/10.4143/crt.2023.980

Abstract PDF Supplementary Material PubReader ePub: Purpose
This study aimed to report the results from an early-phase study of rivoceranib, an oral tyrosine kinase inhibitor highly selective for vascular endothelial growth factor receptor 2, in patients with advanced solid tumors.
Materials and Methods
In this open-label, single-arm, dose-escalating, multicenter three-part phase 1/2a trial, patients had advanced solid tumors refractory to conventional therapy. Part 1 evaluated the safety and pharmacokinetics of five ascending once-daily doses of rivoceranib from 81 mg to 685 mg. Part 2 evaluated the safety and antitumor activity of once-daily rivoceranib 685 mg. Part 3 was conducted later, due to lack of maximum tolerated dose determination in part 1, to evaluate the safety and preliminary efficacy of once-daily rivoceranib 805 mg in patients with unresectable or advanced gastric cancer.
Results
A total of 61 patients were enrolled in parts 1 (n=25), 2 (n=30), and 3 (n=6). In parts 1 and 2, patients were white (45.5%) or Asian (54.5%), and 65.6% were male. The most common grade ≥ 3 adverse events were hypertension (32.7%), hyponatremia (10.9%), and hypophosphatemia (10.9%). The objective response rate (ORR) was 15.2%. In part 3, dose-limiting toxicities occurred in two out of six patients: grade 3 febrile neutropenia decreased appetite, and fatigue. The ORR was 33%.
Conclusion
The recommended phase 2 dose of rivoceranib was determined to be 685 mg once daily, which showed adequate efficacy with a manageable safety profile (NCT01497704 and NCT02711969).

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Genitourinary cancer

Invasiveness of Upper Tract Urothelial Carcinoma: Clinical Significance and Integrative Diagnostic Strategy: Bokyung Ahn, Doeun Kim, Kye Jin Park, Ja-Min Park, Sun Young Yoon, Bumsik Hong, Yong Mee Cho, Deokhoon Kim; Cancer Res Treat. 2024;56(3):856-870. Published online December 18, 2023; DOI: https://doi.org/10.4143/crt.2023.1150

Abstract PDF Supplementary Material PubReader ePub

Purpose
In this study, we aimed to determine the clinicopathologic, radiologic, and molecular significance of the tumor invasiveness to further stratify the patients with high-grade (HG) upper tract urothelial carcinoma (UTUC) who can be treated less aggressively.
Materials and Methods
Clinicopathologic and radiologic characteristics of 166 surgically resected HG UTUC (48 noninvasive, and 118 invasive) cases were evaluated. Six noninvasive UTUC cases with intratumoral tumor grade heterogeneity were selected for whole-exome sequencing (WES) to understand the underlying molecular pathophysiology. Barcode-tagging sequencing was done for validation of the target genes from WES data.
Results
Patients with noninvasive UTUC showed no cancer-specific death with better cancer-specific survival (p < 0.001) and recurrence-free survival (p < 0.001) compared to the patients with invasive UTUC. Compared to the invasive UTUC, noninvasive UTUC was correlated to a low grade (LG) on the preoperative abdominal computed tomography (CT) grading system (p < 0.001), histologic intratumoral tumor grade heterogeneity (p=0.018), discrepancy in preoperative urine cytology diagnosis (p=0.018), and absence of urothelial carcinoma in situ (p < 0.001). WES of the heterogeneous components showed mutually shared HRAS and FGFR3 mutations shared between the HG and LG components. HRAS mutation was associated with the lower grade on preoperative abdominal CT and intratumoral tumor grade heterogeneity (p=0.045 and p < 0.001, respectively), whereas FGFR3 mutation was correlated to the absence of carcinoma in situ (p < 0.001).
Conclusion
According to our comprehensive analysis, HG noninvasive UTUC can be preoperatively suspected based on distinct preoperative radiologic, cytologic, histologic, and molecular features. Noninvasive HG UTUC shows excellent prognosis and thus should be treated less aggressively.

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Diagnostic accuracy of upper tract urothelial carcinoma using biopsy, urinary cytology, and nephroureterectomy specimens: A tertiary cancer center experience
Jianping Zhao, Yuan Shen, Ming Guo, Surena F Matin, Donna E Hansel, Charles C Guo
American Journal of Clinical Pathology.2024;[Epub] CrossRef
Clinical significance of tumor location for ureteroscopic tumor grading in upper tract urothelial carcinoma
Satoshi Katayama, benjamin pradere, Nico C. Grossmann, Aaron M. Potretzke, Stephen J Boorjian, Alireza Ghoreifi, Siamak Daneshmand, Hooman Djaladat, John Sfakianos, Andrea Mari, Zine-Eddine Khene, David D'Andrea, Nozomi Hayakawa, Kazutoshi Fujita, Axel He
Journal of Endourology.2024;[Epub] CrossRef
Development and validation of a radiomics-based nomogram for predicting pathological grade of upper urinary tract urothelial carcinoma
Yanghuang Zheng, Hongjin Shi, Shi Fu, Haifeng Wang, Xin Li, Zhi Li, Bing Hai, Jinsong Zhang
BMC Cancer.2024;[Epub] CrossRef

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General

Impact of Patient Sex on Adverse Events and Unscheduled Utilization of Medical Services in Cancer Patients Undergoing Adjuvant Chemotherapy: A Multicenter Retrospective Cohort Study: Songji Choi, Seyoung Seo, Ju Hyun Lee, Koung Jin Suh, Ji-Won Kim, Jin Won Kim, Se Hyun Kim, Yu Jung Kim, Keun-Wook Lee, Jwa Hoon Kim, Tae Won Kim, Yong Sang Hong, Sun Young Kim, Jeong Eun Kim, Sang-We Kim, Dae Ho Lee, Jae Cheol Lee, Chang-Min Choi, Shinkyo Yoon, Su-Jin Koh, Young Joo Min, Yongchel Ahn, Hwa Jung Kim, Jin Ho Baek, Sook Ryun Park, Jee Hyun Kim; Cancer Res Treat. 2024;56(2):404-413. Published online November 7, 2023; DOI: https://doi.org/10.4143/crt.2023.784

Abstract PDF Supplementary Material PubReader ePub

Purpose
The female sex is reported to have a higher risk of adverse events (AEs) from cytotoxic chemotherapy. Few studies examined the sex differences in AEs and their impact on the use of medical services during adjuvant chemotherapy. This sub-study aimed to compare the incidence of any grade and grade ≥ 3 AEs, healthcare utilization, chemotherapy completion rate, and dose intensity according to sex.
Materials and Methods
This is a sub-study of a multicenter cohort conducted in Korea that evaluated the impact of healthcare reimbursement on AE evaluation in patients who received adjuvant chemotherapy between September 2013 and December 2016 at four hospitals in Korea.
Results
A total of 1,170 patients with colorectal, gastric, or non–small cell lung cancer were included in the study. Female patients were younger, had fewer comorbidities, and experienced less postoperative weight loss of > 10%. Females had significantly higher rates of any grade AEs including nausea, abdominal pain, stomatitis, vomiting, and neutropenia, and experienced more grade ≥ 3 neutropenia, nausea, and vomiting. The dose intensity of chemotherapy was significantly lower in females, and they also experienced more frequent dose reduction after the first cycle. Moreover, female patients receiving platinum-containing regimens had significantly higher rates of unscheduled outpatient visits.
Conclusion
Our study found that females experienced a higher incidence of multiple any-grade AEs and severe neutropenia, nausea, and vomiting, across various cancer types, leading to more frequent dose reductions. Physicians should be aware of sex differences in AEs for chemotherapy decisions.

Citations

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Cancer care for transgender and gender‐diverse people: Practical, literature‐driven recommendations from the Multinational Association of Supportive Care in Cancer
Elizabeth J. Cathcart‐Rake, Alexandre Chan, Alvaro Menendez, Denise Markstrom, Carla Schnitzlein, Yee Won Chong, Don S. Dizon
CA: A Cancer Journal for Clinicians.2025; 75(1): 68. CrossRef
Characterisation of the effects of the chemotherapeutic agent paclitaxel on neuropathic pain-related behaviour, anxiodepressive behaviour, cognition, and the endocannabinoid system in male and female rats
Chiara Di Marino, Álvaro Llorente-Berzal, Alba M. Diego, Ariadni Bella, Laura Boullon, Esther Berrocoso, Michelle Roche, David P. Finn
Frontiers in Pharmacology.2025;[Epub] CrossRef
[Translated article] Toxicity of the FOLFOX-6 regimen, with or without 5-fluorouracil bolus, in metastatic colorectal cancer
María Teresa Garrido Martínez, María Rodríguez Jorge, Ignacio García Giménez, María Isabel Guzmán Ramos, Salvador Grutzmancher Sáiz, Victoria Aviñó Tarazona
Farmacia Hospitalaria.2025;[Epub] CrossRef
The Influence of Tumor Burden Score and Lymph Node Metastasis on the Survival Benefit of Adjuvant Chemotherapy in Intrahepatic Cholangiocarcinoma
Jun Kawashima, Yutaka Endo, Selamawit Woldesenbet, Mujtaba Khalil, Miho Akabane, François Cauchy, Feng Shen, Shishir Maithel, Irinel Popescu, Minoru Kitago, Matthew J. Weiss, Guillaume Martel, Carlo Pulitano, Luca Aldrighetti, George Poultsides, Andrea Ru
Annals of Surgical Oncology.2025;[Epub] CrossRef
Toxicidad del esquema FOLFOX-6, asociado o no a bolo de 5-fluorouracilo, en cáncer colorrectal metastásico
María Teresa Garrido Martínez, María Rodríguez Jorge, Ignacio García Giménez, María Isabel Guzmán Ramos, Salvador Grutzmancher Sáiz, Victoria Aviñó Tarazona
Farmacia Hospitalaria.2024;[Epub] CrossRef

3,665 View
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5 Crossref

Breast cancer

Next-Generation Sequencing in Breast Cancer Patients: Real-World Data for Precision Medicine: Hyunwoo Lee, Yoon Ah Cho, Deok Geun Kim, Eun Yoon Cho; Cancer Res Treat. 2024;56(1):149-161. Published online August 11, 2023; DOI: https://doi.org/10.4143/crt.2023.800

Abstract PDF Supplementary Material PubReader ePub

Purpose
Breast cancer is one of the most common causes of cancer-related death in females. Numerous drug-targetable biomarkers and predictive biomarkers have been developed. Some researchers have expressed doubts about the need for next-generation sequencing (NGS) studies in daily practice. This study analyzed the results of NGS studies on breast cancer at a single institute and evaluated the real-world applications of NGS data to precision medicine for breast cancer.
Materials and Methods
We retrospectively collected the results of NGS studies and analyzed the histopathologic features and genetic profiles of patients treated for breast cancer from 2010 to 2021. Seventy cases had data from CancerSCAN, a customized panel of 375 cancer-associated genes, and 110 cases had data from TruSight Oncology 500.
Results
The most frequently detected single nucleotide variant was the TP53 mutation (123/180, 68.3%), followed by PIK3CA mutations (51/180, 28.3%). Estrogen receptor 1 (ESR1) mutation was detected in 11 patients (6.1%), of whom 10 had hormone receptor–positive, human epidermal growth factor receptor 2–negative breast cancer, and two had no history of prior endocrine therapy. Based on their NGS study results, 13 patients (7.2%) received target therapy. Among them, four patients had a BRCA1 or BRCA2 germline mutation, and nine patients had a PIK3CA mutation.
Conclusion
NGS can provide information about predictive biomarkers and drug-targetable biomarkers that can enable treatment and participation in clinical trials based on precision medicine. Further studies should be conducted to excavate novel drug-targetable biomarkers and develop additional target therapies.

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Jiwon Koh, Jinyong Kim, Go-Un Woo, Hanbaek Yi, So Yean Kwon, Jeongmin Seo, Jeong Mo Bae, Jung Ho Kim, Jae Kyung Won, Han Suk Ryu, Yoon Kyung Jeon, Dae-Won Lee, Miso Kim, Tae-Yong Kim, Kyung-Hun Lee, Tae-You Kim, Jee-Soo Lee, Moon-Woo Seong, Sheehyun Kim,
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Detection of EGFR exon 20 insertion mutations in non-small cell lung cancer: implications for consistent nomenclature in precision medicine
Jieun Park, Boram Lee, Ji-Young Song, Minjung Sung, Mi Jeong Kwon, Chae Rin Kim, Sangjin Lee, Young Kee Shin, Yoon-La Choi
Pathology.2024; 56(5): 653. CrossRef
Standardized molecular pathology workflow for ctDNA-based ESR1 testing in HR+/HER2- metastatic breast cancer
Elena Guerini-Rocco, Konstantinos Venetis, Giulia Cursano, Eltjona Mane, Chiara Frascarelli, Francesco Pepe, Mariachiara Negrelli, Edoardo Olmeda, Davide Vacirca, Alberto Ranghiero, Dario Trapani, Carmen Criscitiello, Giuseppe Curigliano, Christian Rolfo,
Critical Reviews in Oncology/Hematology.2024; 201: 104427. CrossRef
An ultra-sensitive and rapid immunosensor for the onsite detection of circulating tumor DNA in breast cancer
Yi Bi, Xiao Lv, Ke Wang, Jinyu Wu, Xiang Shi, Xiaodong Zheng, Xiaogang Lin
Frontiers in Bioengineering and Biotechnology.2024;[Epub] CrossRef
NGS mutational status on first diagnostic tissue, liquid biopsy and mastectomy in G2–G3 breast cancer
Carmen Maria Ardeleanu, Maria Victoria Olinca , Cristian Gabriel Viişoreanu , Horaţiu Alin Mureşan , Adriana Tecuceanu-Vulpe , Georgiana Manole , Iulia Elena Gune , Bianca Gălăţeanu , Andreea-Corina Ilie-Petrov
Romanian Journal of Morphology and Embryology.2024; 65(2): 195. CrossRef

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5 Crossref

General

Validation and Clinical Application of ONCOaccuPanel for Targeted Next-Generation Sequencing of Solid Tumors: Moonsik Kim, Changseon Lee, Juyeon Hong, Juhee Kim, Ji Yun Jeong, Nora Jee-Young Park, Ji-Eun Kim, Ji Young Park; Cancer Res Treat. 2023;55(2):429-441. Published online November 25, 2022; DOI: https://doi.org/10.4143/crt.2022.891

Abstract PDF Supplementary Material PubReader ePub

Purpose
Targeted next-generation sequencing (NGS) is widely used for simultaneously detecting clinically informative genetic alterations in a single assay. Its application in clinical settings requires the validation of NGS gene panels. In this study, we aimed to validate a targeted hybridization capture-based DNA panel (ONCOaccuPanel) using the Illumina MiSeq sequencing platform. The panel allows the simultaneous detection of single-nucleotide variants (SNVs), insertions, deletions, and copy number changes of 323 genes and fusions of 17 genes in solid tumors.
Materials and Methods
We used 16 formalin-fixed paraffin-embedded (FFPE) tumor samples with previously known genetic mutations and one reference material (HD827) for validation. Moreover, we sequenced an additional 117 FFPE tumor samples to demonstrate the clinical utility of this panel.
Results
Validation revealed a 100% positive percentage agreement and positive predictive value for the detection of SNVs, insertions, deletions, copy number changes, fusion genes, and microsatellite instability–high types. We observed high levels of reproducibility and repeatability (R2 correlation coefficients=0.96-0.98). In the limit of detection assessment, we identified all clinically relevant genes with allele frequencies > 3%. Furthermore, the clinical application of ONCOaccuPanel using 117 FFPE samples demonstrated robust detection of oncogenic alterations. Oncogenic alterations and targetable genetic alterations were detected in 98.2% and 27.4% cases, respectively.
Conclusion
ONCOaccuPanel demonstrated high analytical sensitivity, reproducibility, and repeatability and is feasible for the detection of clinically relevant mutations in clinical settings.

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Youngeun Yoo, Jihun Kim, In Hye Song
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Presence of RB1 or Absence of LRP1B Mutation Predicts Poor Overall Survival in Patients with Gastric Neuroendocrine Carcinoma and Mixed Adenoneuroendocrine Carcinoma
In Hye Song, Bokyung Ahn, Young Soo Park, Deok Hoon Kim, Seung-Mo Hong
Cancer Research and Treatment.2025; 57(2): 492. CrossRef
Primary Solid Pseudopapillary Tumor of the Ovary: A Case Report and Review of the Literature
Juhun Lee, Seung Ho Song, In Hee Lee, Dong Ja Kim, Hyun Jung Lee
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Genome-scale mutational signature analysis in archived fixed tissues
Bérénice Chavanel, François Virard, Vincent Cahais, Claire Renard, Cécilia Sirand, Kim M. Smits, Leo J. Schouten, Béatrice Fervers, Barbara Charbotel, Behnoush Abedi-Ardekani, Michael Korenjak, Jiri Zavadil
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Artificial intelligence algorithm for neoplastic cell percentage estimation and its application to copy number variation in urinary tract cancer
Jinahn Jeong, Deokhoon Kim, Yeon-Mi Ryu, Ja-Min Park, Sun Young Yoon, Bokyung Ahn, Gi Hwan Kim, Se Un Jeong, Hyun-Jung Sung, Yong Il Lee, Sang-Yeob Kim, Yong Mee Cho
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CDKN2A Homozygous Deletion Is a Stronger Predictor of Outcome than IDH1/2-Mutation in CNS WHO Grade 4 Gliomas
Sang Hyuk Lee, Tae Gyu Kim, Kyeong Hwa Ryu, Seok Hyun Kim, Young Zoon Kim
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Comparison of immunohistochemistry and next-generation sequencing results in oncogenic PTEN missense mutations
Moonsik Kim, Jinhee Kim, An Na Seo, Ji Yun Jeong, Nora Jee-Young Park, Gun Oh Chong, Dae Gy Hong, Ji Young Park
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BRCA-mutated gastric adenocarcinomas are associated with chromosomal instability and responsiveness to platinum-based chemotherapy
Ji Hyun Oh, Chang Ohk Sung, Hyung-Don Kim, Sung-Min Chun, Jihun Kim
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Clinical Application of the Association between Genetic Alteration and Intraoperative Fluorescence Activity of 5-Aminolevulinic Acid during the Resection of Brain Metastasis of Lung Adenocarcinoma
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Sarcoma

Whole-Genome and Transcriptome Sequencing Identified NOTCH2 and HES1 as Potential Markers of Response to Imatinib in Desmoid Tumor (Aggressive Fibromatosis): A Phase II Trial Study: Joonha Kwon, Jun Hyeong Lee, Young Han Lee, Jeeyun Lee, Jin-Hee Ahn, Se Hyun Kim, Seung Hyun Kim, Tae Il Kim, Kum-Hee Yun, Young Suk Park, Jeong Eun Kim, Kyu Sang Lee, Jung Kyoon Choi, Hyo Song Kim; Cancer Res Treat. 2022;54(4):1240-1255. Published online January 17, 2022; DOI: https://doi.org/10.4143/crt.2021.1194

Abstract PDF Supplementary Material PubReader ePub

Purpose
Desmoid tumor, also known as aggressive fibromatosis, is well-characterized by abnormal Wnt/β-catenin signaling. Various therapeutic options, including imatinib, are available to treat desmoid tumor. However, the molecular mechanism of why imatinib works remains unclear. Here, we describe potential roles of NOTCH2 and HES1 in clinical response to imatinib at genome and transcriptome levels.
Materials and Methods
We identified somatic mutations in coding and noncoding regions via whole-genome sequencing. To validate the genetic interaction with expression level in desmoid-tumor condition, we utilized large-scale whole-genome sequencing and transcriptome datasets from the Pan-Cancer Analysis of Whole Genomes project. RNA-sequencing was performed using prospective and retrospective cohort samples to evaluate the expressional relevance with clinical response.
Results
Among 20 patients, four (20%) had a partial response and 14 (66.7%) had stable disease, 11 of which continued for ≥ 1 year. With gene-wise functional analyses, we detected a significant correlation between recurrent NOTCH2 noncoding mutations and clinical response to imatinib. Based on Pan-Cancer Analysis of Whole Genomes data analyses, NOTCH2 mutations affect expression levels particularly in the presence of CTNNB1 missense mutations. By analyzing RNA-sequencing with additional desmoid tumor samples, we found that NOTCH2 expression was significantly correlated with HES1 expression. Interestingly, NOTCH2 had no statistical power to discriminate between responders and non-responders. Instead, HES1 was differentially expressed with statistical significance between responders and non-responders.
Conclusion
Imatinib was effective and well tolerated for advanced desmoid tumor treatment. Our results show that HES1, regulated by NOTCH2, as an indicator of sensitivity to imatinib, and an important therapeutic consideration for desmoid tumor.

Citations

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Therapeutical potential of natural products in treatment of pancreatic cancer: a review
Sanjeev Kumar Sahu, Pranav Kumar Prabhakar, Manish Vyas
Molecular Biology Reports.2025;[Epub] CrossRef
The Notch signaling pathway in desmoid tumor: Recent advances and the therapeutic prospects
Chuanxi Zheng, Jianghong Huang, Gang Xu, Wei Li, Xin Weng, Shiquan Zhang
Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease.2024; 1870(1): 166907. CrossRef
Long‐term result of 125I seed brachytherapy for pediatric desmoid tumor in the head and neck
Yi‐Wei Zhong, Xiao‐Ming Lyu, Yan Shi, Chuan‐Bin Guo, Jian‐Guo Zhang, Lei Zheng
Pediatric Blood & Cancer.2023;[Epub] CrossRef
Update on Familial Adenomatous Polyposis-Associated Desmoid Tumors
Wanjun Yang, Pei-Rong Ding
Clinics in Colon and Rectal Surgery.2023; 36(06): 400. CrossRef
Multimodality Imaging Assessment of Desmoid Tumors: The Great Mime in the Era of Multidisciplinary Teams
Igino Simonetti, Federico Bruno, Roberta Fusco, Carmen Cutolo, Sergio Venanzio Setola, Renato Patrone, Carlo Masciocchi, Pierpaolo Palumbo, Francesco Arrigoni, Carmine Picone, Andrea Belli, Roberta Grassi, Francesca Grassi, Antonio Barile, Francesco Izzo,
Journal of Personalized Medicine.2022; 12(7): 1153. CrossRef

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Gastrointestinal cancer

Histopathologic and Molecular Biomarkers of PD-1/PD-L1 Inhibitor Treatment Response among Patients with Microsatellite Instability‒High Colon Cancer: Jaewon Hyung, Eun Jeong Cho, Jihun Kim, Jwa Hoon Kim, Jeong Eun Kim, Yong Sang Hong, Tae Won Kim, Chang Ohk Sung, Sun Young Kim; Cancer Res Treat. 2022;54(4):1175-1190. Published online January 12, 2022; DOI: https://doi.org/10.4143/crt.2021.1133

Abstract PDF Supplementary Material PubReader ePub

Purpose
Recent clinical trials have reported response rates < 50% among patients treated with programmed death-1 (PD-1)/programmed death-ligand 1 (PD-L1) inhibitors for microsatellite instability‒high (MSI-H) colorectal cancer (CRC), and factors predicting treatment response have not been fully identified. This study aimed to identify potential biomarkers of PD-1/PD-L1 inhibitor treatment response among patients with MSI-H CRC.
Materials and Methods
MSI-H CRC patients enrolled in three clinical trials of PD-1/PD-L1 blockade at Asan Medical Center (Seoul, Republic of Korea) were screened and classified into two groups according to treatment response. Their histopathologic features and expression of 730 immune-related genes from the NanoString platform were evaluated, and a machine learning–based classification model was built to predict treatment response among MSI-H CRCs patients.
Results
A total of 27 patients (15 responders, 12 non-responders) were included. A high degree of lymphocytic/neutrophilic infiltration and an expansile tumor border were associated with treatment response and prolonged progression-free survival (PFS), while mucinous/signet-ring cell carcinoma was associated with a lack of treatment response and short PFS. Gene expression profiles revealed that the interferon-γ response pathway was enriched in the responder group. Of the top eight differentially expressed immune-related genes, PRAME had the highest fold change in the responder group. Higher expression of PRAME was independently associated with better PFS along with histologic subtypes in the multivariate analysis. The classification model using these genes showed good performance for predicting treatment response.
Conclusion
We identified histologic and immune-related gene expression characteristics associated with treatment response in MSI-H CRC, which may contribute to optimal patient stratification.

Citations

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The Relationship of PRAME Expression with Clinicopathologic Parameters and Immunologic Markers in Melanomas: In Silico Analysis
Yasemin Cakir, Banu Lebe
Applied Immunohistochemistry & Molecular Morphology.2025; 33(2): 117. CrossRef
Exploration of the regulatory mechanism of norcantharidin on sine oculis homeobox homolog 4 in colon cancer using transcriptome sequencing and bioinformatic
Fanqin Zhang, Chao Wu, Jingyuan Zhang, Zhihong Huang, Antony Stalin, Yiyan Zhai, Shuqi Liu, Jiarui Wu
Journal of Traditional Chinese Medical Sciences.2025;[Epub] CrossRef
Biomarkers to predict efficacy of immune checkpoint inhibitors in colorectal cancer patients: a systematic review and meta-analysis
Hang Yu, Qingquan Liu, Keting Wu, Shuang Tang
Clinical and Experimental Medicine.2024;[Epub] CrossRef
An Insight into the Peculiarities of Signet-Ring Cell Carcinoma of the Colon – a Narrative Review
Loredana Farcaș, Diana Voskuil-Galoș
Journal of Medical and Radiation Oncology.2024; 4(7): 1. CrossRef
High serum IL-6 correlates with reduced clinical benefit of atezolizumab and bevacizumab in unresectable hepatocellular carcinoma
Hannah Yang, Beodeul Kang, Yeonjung Ha, Sung Hwan Lee, Ilhwan Kim, Hyeyeong Kim, Won Suk Lee, Gwangil Kim, Sanghoon Jung, Sun Young Rha, Vincent E. Gaillard, Jaekyung Cheon, Chan Kim, Hong Jae Chon
JHEP Reports.2023; 5(4): 100672. CrossRef
Identification of ZBTB4 as an immunological biomarker that can inhibit the proliferation and invasion of pancreatic cancer
Zhe Yang, Feiran Chen, Feng Wang, Xiubing Chen, Biaolin Zheng, Xiaomin Liao, Zhejun Deng, Xianxian Ruan, Jing Ning, Qing Li, Haixing Jiang, Shanyu Qin
BMC Cancer.2023;[Epub] CrossRef
PD-L1 Expression in Colorectal Carcinoma: A Comparison of 3 Scoring Methods in a Cohort of Jordanian Patients
Heyam A. Awad, Maher A. Sughayer, Jumana M. Obeid, Yaqoot N. Heilat, Ahmad S. Alhesa, Reda M. Yousef, Nabil M. Hasasna, Shafiq A. Masoud, Tareq Saleh
Applied Immunohistochemistry & Molecular Morphology.2023; 31(6): 379. CrossRef
Systemic Delivery of a STING Agonist‐Loaded Positively Charged Liposome Selectively Targets Tumor Immune Microenvironment and Suppresses Tumor Angiogenesis
Eun‐Jin Go, Hannah Yang, Wooram Park, Seung Joon Lee, Jun‐Hyeok Han, So Jung Kong, Won Suk Lee, Dong Keun Han, Hong Jae Chon, Chan Kim
Small.2023;[Epub] CrossRef
Review of the Immune Checkpoint Inhibitors in the Context of Cancer Treatment
Norah A. Alturki
Journal of Clinical Medicine.2023; 12(13): 4301. CrossRef
Enhancing head and neck tumor management with artificial intelligence: Integration and perspectives
Nian-Nian Zhong, Han-Qi Wang, Xin-Yue Huang, Zi-Zhan Li, Lei-Ming Cao, Fang-Yi Huo, Bing Liu, Lin-Lin Bu
Seminars in Cancer Biology.2023; 95: 52. CrossRef
Artificial intelligence for prediction of response to cancer immunotherapy
Yuhan Yang, Yunuo Zhao, Xici Liu, Juan Huang
Seminars in Cancer Biology.2022; 87: 137. CrossRef

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Prevalence of Psychological Symptoms in Patients Undergoing Pancreatoduodenectomy and Results of a Distress Management System: A Clinic-Based Study: Mee Joo Kang, Eun-Seung Yu, Young Hwa Kang, Hyeong Min Park, Sang-Jae Park, Sun-Whe Kim, Jong-Heun Kim, Sung-Sik Han; Cancer Res Treat. 2022;54(4):1138-1147. Published online January 4, 2022; DOI: https://doi.org/10.4143/crt.2021.842

Abstract PDF Supplementary Material PubReader ePub

Purpose
Patients undergoing pancreatoduodenectomy are a high-risk group that requires psychosocial support. This study retrospectively reviewed the prevalence of psychological symptoms in patients undergoing pancreatoduodenectomy for periampullary neoplasm and the psychosocial referral rate after implementing full screening and triage algorithm for administering a distress management protocol based on the integrated supportive care system established in 2010.
Materials and Methods
From September 2010 to December 2018, insomnia, anxiety, and depression were screened on the first day of admission (T1) and on the 10th postoperative day (T2). Patients with clinical levels of distress were referred to a mental health clinic for appropriate aftercare.
Results
The adherence rate to routine screening was 82.7% (364/440). Among the 364 patients, the prevalence of insomnia, anxiety, and depression increased from 22.0% (T1) to 32.6% (T2, p=0.001), 29.1% to 33.6% (p=0.256), and 18.4% to 27.6% (p=0.001), respectively. Less than 45% of those with psychological symptoms expressed their needs for psychological supportive care. Among those with psychological symptoms at T2, clinical insomnia, anxiety, and depression were detected via in-depth evaluations among 77.2%, 38.1%, and 82.5% of patients, respectively. Patients who had two or more symptoms at T2 had a longer postoperative hospital stay, as compared to those with one or no symptoms (a median of 20.5 days vs. 18.0 days, p=0.006). Psychiatric consultation rate was 72.8% among patients with clinical psychological symptoms, and 74% of the consulted patients completed psychiatric intervention before discharge.
Conclusion
Over one-third of the patients had psychological symptoms before and after pancreatoduodenectomy. Implementing a routine psychological symptoms screening with a systematic psychiatric referral protocol enhanced surgeons’ responsiveness to patients’ psychological symptoms.

Citations

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Assessing the long-term priorities of pancreaticoduodenectomy survivors
Edward A. Joseph, Kara D. Bowers, Rebecca Marcus, Bibek Aryal, Suzanne C. Schiffman, Patrick L. Wagner, Sricharan Chalikonda, David L. Bartlett, Casey J. Allen
HPB.2024; 26(5): 703. CrossRef
Effect of postoperative application of esketamine on postoperative depression and postoperative analgesia in patients undergoing pancreatoduodenectomy: a randomized controlled trial protocol
Kaili Yu, Zhenguo Song, Bowen Zhang, Qian Pan, Shan Gan, Shaoyong Yang, Quanyong Yang, Xinhua Zuo, Yiqing Yin
Trials.2023;[Epub] CrossRef

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Radiofrequency Ablation versus Stereotactic Body Radiation Therapy in the Treatment of Colorectal Cancer Liver Metastases: Jesang Yu, Dong Hwan Kim, Jungbok Lee, Yong Moon Shin, Jong Hoon Kim, Sang Min Yoon, Jinhong Jung, Jin Cheon Kim, Chang Sik Yu, Seok-Byung Lim, In Ja Park, Tae Won Kim, Yong Sang Hong, Sun Young Kim, Jeong Eun Kim, Jin-hong Park, So Yeon Kim; Cancer Res Treat. 2022;54(3):850-859. Published online October 13, 2021; DOI: https://doi.org/10.4143/crt.2021.674

Abstract PDF Supplementary Material PubReader ePub

Purpose
This study aimed to compare the treatment outcomes of radiofrequency ablation (RFA) and stereotactic body radiation therapy (SBRT) for colorectal cancer liver metastases (CRLM) and to determine the favorable treatment modality according to tumor characteristics.
Materials and Methods
We retrospectively analyzed the records of 222 colorectal cancer patients with 330 CRLM who underwent RFA (268 tumors in 178 patients) or SBRT (62 tumors in 44 patients) between 2007 and 2014. Kaplan–Meier method and Cox models were used by adjusting with inverse probability of treatment weighting (IPTW).
Results
The median follow-up duration was 30.5 months. The median tumor size was significantly smaller in the RFA group than in the SBRT group (1.5 cm vs 2.3 cm, p<0.001). In IPTW-adjusted analysis, difference in treatment modality was not associated with significant differences in 1-year and 3-year recurrence-free survival (35% vs 43%, 22% vs 23%; p=0.198), overall survival (96% vs 91%, 58% vs 56%; p=0.508), and freedom from local progression (FFLP; 90% vs 72%, 78% vs 60%; p=0.106). Significant interaction effect between the treatment modality and tumor size was observed for FFLP (p=0.001). In IPTW-adjusted subgroup analysis of patients with tumor size >2 cm, the SBRT group had a higher FFLP compared with the RFA group (HR, 0.153; p<0.001).
Conclusion
SBRT and RFA showed similar local control in the treatment of patients with CRLM. Tumor size was an independent prognostic factor for local control and SBRT may be preferred for larger tumors.

Citations

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Ablative techniques in colorectal liver metastases: A systematic review, descriptive summary of practice, and recommendations for optimal data reporting
Wee Han Ng, Catarina Machado, Alice Rooney, Robert Jones, Jonathan Rees, Samir Pathak
European Journal of Surgical Oncology.2025; 51(2): 109487. CrossRef
Effects of maximum dose on local control after stereotactic body radiotherapy for oligometastatic tumors of colorectal cancer
Su Jin Kang, Jongmoo Park, Gyu-Seog Choi, Jong Gwang Kim, Jun Seok Park, Hye Jin Kim, Jin Ho Baek, Byung Woog Kang, An Na Seo, Shin-Hyung Park, Bong Kyung Bae, Min Kyu Kang, Soo Yeun Park, Devarati Mitra
PLOS ONE.2025; 20(1): e0313438. CrossRef
Treatment of Oligometastatic GI Cancers
Clayton T. Marcinak, Patrick B. Schwartz, Mustafa M. Basree, Newton Hurst, Michael Bassetti, Jeremy D. Kratz, Nataliya V. Uboha
American Society of Clinical Oncology Educational Book.2024;[Epub] CrossRef
Stereotactic radiotherapy for liver oligometastases: a pooled analysis following the estro/eortc consensus recommendations
D. Pezzulla, G. Chiloiro, E. M. Lima, G. Macchia, C. Romano, S. Reina, G. Panza, S. Cilla, A. G. Morganti, F. Cellini, M. A. Gambacorta, F. Deodato
Clinical & Experimental Metastasis.2024; 41(5): 667. CrossRef
Interventionelle Therapieoptionen bei oligometastasierten Tumoren
Max Seidensticker
Forum.2024; 39(5): 340. CrossRef
Efficacy and safety of B-ultrasound-guided radiofrequency ablation in the treatment of primary liver cancer: Systematic review and meta-analysis
Xiong Zhang, Hong-Yi Zhu, Ming Yuan
World Journal of Gastrointestinal Surgery.2024; 16(9): 2986. CrossRef
Analysis of alkaline phosphatase and γ-glutamyltransferase after radiofrequency ablation of primary liver cancer: A retrospective study
Wen-Yu Huang, Sheng Zheng, Dan Zhu, Ying-Lang Zeng, Juan Yang, Xue-Li Zeng, Pei Liu, Shun-Ling Zhang, Ming Yuan, Zhi-Xia Wang
World Journal of Gastrointestinal Surgery.2024; 16(9): 2860. CrossRef
Evidence-based clinical recommendations for hypofractionated radiotherapy: exploring efficacy and safety - Part 4: Liver and locally recurrent rectal cancer
Hwa Kyung Byun, Gyu Sang Yoo, Soo-Yoon Sung, Jin-Ho Song, Byoung Hyuck Kim, Yoo-Kang Kwak, Yeon Joo Kim, Yeon-Sil Kim, Kyung Su Kim
Radiation Oncology Journal.2024; 42(4): 247. CrossRef
Recent trends in radiotherapy use for major cancers in Korea
Kyungmi Yang, Jeong Eun Lee, Won Park, Yong Chan Ahn, Seung Jae Huh
Japanese Journal of Clinical Oncology.2023; 53(12): 1177. CrossRef
Combination of endoscopic ultrasound-guided radiofrequency ablation and adaptive radiation therapy for the treatment of lymph node metastases from colon adenocarcinoma: A case report
Federica Borrelli de Andreis, Maria Alessandra Calegari, Angela Romano, Maria Gabriella Brizi, Luigi Sofo, Ivo Boskoski, Guido Costamagna, Fabia Attili
Current Problems in Cancer: Case Reports.2023; 9: 100216. CrossRef
Comparison of radiofrequency ablation and ablative external radiotherapy for the treatment of intrahepatic malignancies: A hybrid meta-analysis
Chai Hong Rim, Jung Sue Lee, Soo Yeon Kim, Jinsil Seong
JHEP Reports.2023; 5(1): 100594. CrossRef
Metastasis-Directed Local Therapy of Hepatic Oligometastasis from Colorectal Cancer and Future Perspective in Radiation Therapy
Gyu Sang Yoo, Chai Hong Rim, Won Kyung Cho, Jae-Uk Jeong, Eui Kyu Chie, Hyeon-Min Cho, Jun Won Um, Yong Chan Ahn, Jong Hoon Lee
Cancer Research and Treatment.2023; 55(3): 707. CrossRef
Local Control Following Stereotactic Body Radiation Therapy for Liver Oligometastases: Lessons from a Quarter Century
Sara Mheid, Stefan Allen, Sylvia S. W. Ng, William A. Hall, Nina N. Sanford, Todd A. Aguilera, Ahmed M. Elamir, Rana Bahij, Martijn P. W. Intven, Ganesh Radhakrishna, Issa Mohamad, Jeremy De Leon, Hendrick Tan, Shirley Lewis, Cihan Gani, Teo Stanecu, Vero
Current Oncology.2023; 30(10): 9230. CrossRef
Evidence on percutaneous radiofrequency and microwave ablation for liver metastases over the last decade
Koji Tomita, Yusuke Matsui, Mayu Uka, Noriyuki Umakoshi, Takahiro Kawabata, Kazuaki Munetomo, Shoma Nagata, Toshihiro Iguchi, Takao Hiraki
Japanese Journal of Radiology.2022; 40(10): 1035. CrossRef

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General

Functional Impairments in the Mental Health, Depression and Anxiety Related to the Viral Epidemic, and Disruption in Healthcare Service Utilization among Cancer Patients in the COVID-19 Pandemic Era: Kyumin Kim, Harin Kim, Joohee Lee, Inn-Kyu Cho, Myung Hee Ahn, Ki Young Son, Jeong Eun Kim, Hee Jeong Kim, Sang Min Yoon, So Hee Kim, Moon Jung Kwon, Hwa Jung Kim, Su-Jin Koh, Seyoung Seo, Seockhoon Chung; Cancer Res Treat. 2022;54(3):671-679. Published online September 17, 2021; DOI: https://doi.org/10.4143/crt.2021.585

Abstract PDF PubReader ePub

Purpose
Literature is scarce regarding cancer care utilization during the massive outbreak of coronavirus disease 2019 (COVID-19) in the Republic of Korea. We investigated functional impairments in mental health and their relationships with depression, anxiety regarding the viral epidemic, and disruptions in healthcare service utilization among cancer patients in the COVID-19 pandemic era.
Materials and Methods
We used an online survey with questions related to the disturbances faced by patients with cancer in utilizing healthcare services in the pandemic era. Current mental health status was assessed using the Work and Social Adjustment Scale (WSAS), Stress and Anxiety to Viral Epidemics-6 (SAVE-6) scale, Patient Health Questionnaire-9 (PHQ-9), Insomnia Severity Index (ISI), Brief Resilience Scale (BRS), Cancer-Related Dysfunctional Beliefs about Sleep Scale (C-DBS), and Fear of COVID-19 over Cancer (FCC).
Results
Among the 221 responders, 95 (43.0%) reported disruptions in healthcare service utilization during the COVID-19 pandemic. Logistic regression analysis revealed that functional impairment in the mental health of these patients was expected due to disruptions in healthcare service utilization, high levels of depression, anxiety regarding the viral epidemic, fear of COVID over cancer, and low resilience. Mediation analysis showed that patient resilience and cancer-related dysfunctional beliefs about sleep partially mediated the effects of viral anxiety on functional impairment.
Conclusion
In this pandemic era, patients with cancer experience depression, anxiety regarding the viral epidemic, and disruptions in healthcare service utilization, which may influence their functional impairments in mental health.

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Amanda L King, Kayla N Roche, Elizabeth Vera, Valentina Pillai, Lily Polskin, Alvina A Acquaye-Mallory, Lisa Boris, Eric Burton, Anna Choi, Ewa Grajkowska, Heather E Leeper, Marissa Panzer, Marta Penas-Prado, Jennifer Reyes, Solmaz Sahebjam, Brett J Theel
Neuro-Oncology Practice.2025; 12(1): 76. CrossRef
Prevalence of depressive symptoms and correlates among individuals who self-reported SARS-CoV-2 infection after optimizing the COVID-19 response in China
Liangjia Wei, Jiao Qin, Zhifeng Lin, Xinju Huang, Jinfeng He, Dee Yu, Fei Zhang, Sisi Li, Ping Cen, Mu Li, Tong Luo, Rongjing Zhang, Shanmei Zhong, Cai Qin, Zeyu Li, Yuan Yang, Huiqi Pan, Mengdi Zhao, Xiaoqiong Wu, Junjun Jiang, Hao Liang, Li Ye, Bingyu L
Frontiers in Public Health.2024;[Epub] CrossRef
Evaluation of mental health of students in healthcare education programs at Qatar University
Ola Hayk, Abdulla Mansoor, Shahd Al-Najdi, Alaa Daud, Rula Shami, Najah Al-Hashimi, Kamran Ali
MedEdPublish.2024; 14: 37. CrossRef
Inpatient Hospice Care in Korea during the COVID-19 Pandemic: A Preliminary Study
Youn Seon Choi, Sun Wook Hwang, In Cheol Hwang
Journal of Hospice and Palliative Care.2024; 27(2): 82. CrossRef
Risk factors for heightened COVID‐19‐Related anxiety among breast cancer patients
Yash B. Shah, Stephanie Kjelstrom, Diana Martinez, Adam Leitenberger, Donna‐Marie Manasseh, Melissa Bollmann‐Jenkins, Ann Partridge, Virginia Kaklamani, Rowen Chlebowski, Sharon Larson, Marisa Weiss
Cancer Medicine.2023; 12(3): 3577. CrossRef
Discrepancy between desired time in bed and desired total sleep time in patients with cancer: The DBST index and its relationship with insomnia severity and sleep onset latency
Eulah Cho, Jaeeun Song, Joohee Lee, Inn-Kyu Cho, Dongin Lee, Hayun Choi, Harin Kim, Seockhoon Chung
Frontiers in Psychiatry.2023;[Epub] CrossRef
Health-related quality of life and depressive symptoms of patients with chronic diseases and the general population before and during the COVID-19 pandemic in Korea
Yeeun Park, Kyong Park
Frontiers in Psychology.2023;[Epub] CrossRef
A study of COVID anxiety, spiritual well-being and resilience levels in patients with cancer undergoing chemotherapy during the COVID-19 pandemic: a cross-sectional study in the south of Iran
Zahra Khiyali, Zeinab Naderi, Mohammadkazem Vakil, Hajar Ghasemi, Azizallah Dehghan, Mostafa Bijani
BMC Psychology.2023;[Epub] CrossRef
Does Viral Anxiety Influence the Insomnia Severity Among Patients With Insomnia Disorder During COVID-19 Pandemic?
Jana Sleiman, Eulah Cho, Dongin Lee, Inn-Kyu Cho, Seockhoon Chung, Omer Faruk Uygur
Sleep Medicine Research.2023; 14(1): 25. CrossRef
Associations of psychological status and ultrasonic characteristics of thyroid nodules in adults during the COVID-19 pandemic
Zhengwu Lei, Zhongxiang He, Ying Mei, Xiaoya Qi, Pingping Yu, Guoqiong Xu, Hongfeng Cheng, Ruixue Bai, Jing Deng
Frontiers in Psychology.2023;[Epub] CrossRef
The Impact of COVID-19 on Psychiatric Health in the Korean Population
Sheng-Min Wang, Sung-Hwan Kim, Won-Seok Choi, Hyun Kook Lim, Young Sup Woo, Chi-Un Pae, Won-Myong Bahk
Clinical Psychopharmacology and Neuroscience.2023; 21(3): 410. CrossRef
Adherence to Physical Distancing and Health Beliefs About COVID-19 Among Patients With Cancer
Sajida Fawaz Hammoudi, Oli Ahmed, Hoyoung An, Youjin Hong, Myung Hee Ahn, Seockhoon Chung
Journal of Korean Medical Science.2023;[Epub] CrossRef
Catastrophizing Maladaptive Coping Affects the Association Between Viral Anxiety and Fear of Progression in Cancer Patients During COVID-19 Pandemic
Hyuk Joo Lee, Cheolkyung Sin, Hyeyeong Kim, Hyeon-Su Im, Jae-Cheol Jo, Yoo Jin Lee, Youjin Kim, Junseok Ahn, Soyoung Yoo, Su-Jin Koh, Seockhoon Chung
Psychiatry Investigation.2023; 20(12): 1204. CrossRef
The role of social support and resilience in the mental health impact of the COVID-19 pandemic among healthcare workers in Spain
Esther Ortiz-Calvo, Gonzalo Martínez-Alés, Roberto Mediavilla, Elisabeth González-Gómez, Eduardo Fernández-Jiménez, María-Fe Bravo-Ortiz, Berta Moreno-Küstner
Journal of Psychiatric Research.2022; 148: 181. CrossRef
The Validation Study of the Stress and Anxiety to Viral Epidemics−6 Scale Among Patients With Cancer in the COVID-19 Pandemic
Hyeyeong Kim, Harin Kim, Hyuk Joo Lee, Eulah Cho, Su-Jin Koh, Oli Ahmed, Seockhoon Chung
Frontiers in Psychiatry.2022;[Epub] CrossRef
Resilience, Social Support, and Anxious Preoccupation in Patients with Advanced Cancer during COVID-19 Pandemic
Veronica Velasco-Durantez, Paula Jimenez-Fonseca, Carla M. Martín Abreu, Ismael Ghanem, Manuel González Moya, Elena Asensio, María J. Corral, Adan Rodriguez-Gonzalez, Mireia Gil-Raga, Alberto Carmona-Bayonas, Caterina Calderon
Cancer Investigation.2022; 40(6): 475. CrossRef
Mental Health in Postoperative Thyroid Patients During the COVID-19 Pandemic
Shijie Yang, Xiequn Xu
Frontiers in Endocrinology.2022;[Epub] CrossRef
Effect of Cancer-Related Dysfunctional Beliefs About Sleep on Fear of Cancer Progression in the Coronavirus Pandemic
Harin Kim, Inn-Kyu Cho, Dongin Lee, Kyumin Kim, Joohee Lee, Eulah Cho, C. Hyung Keun Park, Seockhoon Chung
Journal of Korean Medical Science.2022;[Epub] CrossRef
Insomnia Mediate the Influence of Reassurance-Seeking Behavior and Viral Anxiety on Preoccupation With COVID-19 Among the General Population
Eulah Cho, Dongin Lee, Inn-Kyu Cho, Joohee Lee, Junseok Ahn, Young Rong Bang
Sleep Medicine Research.2022; 13(2): 68. CrossRef
Reliability and Validity of Dysfunctional Beliefs About Sleep-2 (DBS-2), an Ultra-brief Rating Scale for Assessing Dysfunctional Thoughts About Sleep
Kyumin Kim, Seockhoon Chung, Eulah Cho, Jung Mun Choi, Dongin Lee, Inn-Kyu Cho
Sleep Medicine Research.2022; 13(3): 165. CrossRef

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Sarcoma

Clinicopathologic Characteristics and Clinical Outcome of Localized Liposarcoma: A Single-Center Experience over 25 Years and Evaluation of PD-L1 Expression: Heejung Chae, Jeong Eun Kim, Wanlim Kim, Jong-Seok Lee, Si Yeol Song, Min Hee Lee, Hye Won Chung, Kyung-Ja Cho, Joon Seon Song, Jin-Hee Ahn; Cancer Res Treat. 2022;54(2):579-589. Published online July 6, 2021; DOI: https://doi.org/10.4143/crt.2021.496

Abstract PDF Supplementary Material PubReader ePub

Purpose
For liposarcoma (LPS), clinical course and proper treatment strategies have not been well-established. Recently, immune-checkpoint inhibitors have shown potential efficacy in LPS. We aimed to describe the clinical course of LPS and evaluate the clinical impact of programmed death-ligand 1 (PD-L1).
Materials and Methods
We reviewed all consecutive patients (n=332) who underwent curative-intent surgery for localized LPS at Asan Medical Center between 1989 and 2017. PD-L1 testing was performed in well-differentiated and dedifferentiated LPS.
Results
The median age was 56 years with males comprising 60.8%. Abdomen-pelvis (47.6%) and well-differentiated (37.7%) were the most frequent primary site and histologic subtype, respectively. During a median follow-up of 81.2 months, recurrence was observed in 135 (40.7%), and 86.7% (117/135) were loco-regional. Well-differentiated subtype (hazard ratio [HR], 0.38), abdomen-pelvis origin (HR, 2.43), tumor size larger than 5 cm (HR, 1.83), positive resection margin (HR, 2.58), and postoperative radiotherapy (HR, 0.36) were significantly related with recurrence-free survival as well as visceral involvement (HR, 1.84) and multifocality (HR, 3.79) in abdomen-pelvis LPS. PD-L1 was positive in 31.5% (23/73) and 51.3% (39/76) of well-differentiated and dedifferentiated LPS, respectively, but had no impact on survival outcomes.
Conclusion
Clinical course of LPS was heterogeneous according to histology and anatomic location. Clear resection margin was important to lower recurrence and postoperative radiotherapy might have additional benefit. A decent portion of well-differentiated and dedifferentiated LPS were positive for PD-L1, but its prognostic role was unclear. Further research is needed to determine clinical implications of PD-L1, especially for advanced-stage LPS with unmet needs for effective systemic treatment.

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Recurrent Intrathoracic Liposarcoma: A Case Report and a Comprehensive Literature Review of a Rare Clinical Entity
Vasileios Leivaditis , Manfred Dahm , Athanasios Papatriantafyllou, Hans-Georg Keul, Lydia Kohl, Hans-Joachim Schäfers
Cureus.2024;[Epub] CrossRef
Clinicopathological Features of Intrathoracic Liposarcoma—A Systematic Review with an Illustrative Case
Kajetan Kiełbowski, Nikola Ruszel, Seweryn Adam Skrzyniarz, Małgorzata Edyta Wojtyś, Rafał Becht, Konrad Ptaszyński, Darko Gajić, Janusz Wójcik
Journal of Clinical Medicine.2022; 11(24): 7353. CrossRef

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116 Download
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2 Crossref

Breast cancer

Comparison of the Effectiveness and Clinical Outcome of Everolimus Followed by CDK4/6 Inhibitors with the Opposite Treatment Sequence in Hormone Receptor-Positive, HER2-Negative Metastatic Breast Cancer: Hyehyun Jeong, Jae Ho Jeong, Jeong Eun Kim, Jin-Hee Ahn, Kyung Hae Jung, Sung-Bae Kim; Cancer Res Treat. 2022;54(2):469-477. Published online June 23, 2021; DOI: https://doi.org/10.4143/crt.2021.205

Abstract PDF Supplementary Material PubReader ePub

Purpose
In hormone receptor-positive, human epidermal growth factor receptor 2–negative metastatic breast cancer (HR+ HER2–MBC), the mainstay treatment options include cyclin-dependent kinase 4/6 inhibitors (CDK4/6i) and everolimus (EVE) in combination with endocrine treatment. This study aims to compare the outcomes of the following treatment sequences: CDK4/6i followed by EVE and EVE followed by CDK4/6i.
Materials and Methods
Data from HR+ HER2– MBC patients treated between January 2014 and November 2020 with both CDK4/6i and EVE were retrospectively analyzed.
Results
Among the 88 patients included in the study, 51 received CDK4/6i before EVE (C→E group), and 37 received EVE before CDK4/6i (E→C group) with endocrine treatment. More patients in the E→C group had endocrine resistance (13.7% vs. 40.5%), experienced palliative chemotherapy (7.8% vs. 40.5%), and were heavily treated (treated as ≥ 3rd line, 5.9% vs. 40.5%). Median overall survival was 46.8 months in the C→E group and 38.9 months in the E→C group (p=0.151). Median composite progression-free survival (PFS), defined as the time from the start of the preceding regimen to disease progression on the following regimen or death, was 24.8 months in the C→E group vs. 21.8 months in the E→C group (p=0.681). Median PFS2/PFS1 ratio did not differ significantly between groups (0.5 in the C→E group, 0.6 in the E→C group; p=0.775). Ten patients (11.4%) discontinued EVE, and two patients (2.3%) discontinued CDK4/6i during treatment.
Conclusion
Although the CDK4/6i-based regimen should be considered as an earlier line of treatment, CDK4/6i- and EVE-based treatments can be valid options in circumstances where the other treatment had been already given.

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CDK4/6 inhibitors for metastatic breast cancer in routine clinical practice in Spain: survey of patterns of use and oncologists’ perceptions
F. Moreno, V. Iranzo, I. Álvarez, A. Antón, J. I. Chacón, J. Gavilá, M. Martín, P. Sánchez Rovira, P. Gratal, M. J. Fernández González, R. López
Clinical and Translational Oncology.2025;[Epub] CrossRef
The Growth Modulation Index (GMI) as an Efficacy Outcome in Cancer Clinical Trials: A Scoping Review with Suggested Reporting Guidelines
Kilian Trin, Cynthia Dalleau, Simone Mathoulin-Pelissier, Christophe Le Tourneau, Derek Dinart, Carine Bellera
Current Oncology Reports.2025;[Epub] CrossRef
The different sequences of CDK4/6 inhibitor and mTOR inhibitor in HR+/HER2-advanced breast cancer: A multicenter real-world study
Yuqian Liao, Yujing Tan, Yipeng Li, Fei Ma, Jiayu Wang, Pin Zhang, Qing Li, Qiao Li, Yang Luo, Bo Lan, Shanshan Chen, Binghe Xu, Hanfang Jiang, Weihong Zhao, Ying Fan
Heliyon.2024; 10(19): e38147. CrossRef
Long-Term Results with Everolimus in Advanced Hormone Receptor Positive Breast Cancer in a Multicenter National Real-World Observational Study
Hélène François-Martin, Audrey Lardy-Cléaud, Barbara Pistilli, Christelle Levy, Véronique Diéras, Jean-Sébastien Frenel, Séverine Guiu, Marie-Ange Mouret-Reynier, Audrey Mailliez, Jean-Christophe Eymard, Thierry Petit, Mony Ung, Isabelle Desmoulins, Paule
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Selective protection of normal cells from chemotherapy, while killing drug-resistant cancer cells
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Special Articles

Life-Sustaining Treatment States in Korean Cancer Patients after Enforcement of Act on Decisions on Life-Sustaining Treatment for Patients at the End of Life: Young-Woong Won, Hwa Jung Kim, Jung Hye Kwon, Ha Yeon Lee, Sun Kyung Baek, Yu Jung Kim, Do Yeun Kim, Hyewon Ryu; Cancer Res Treat. 2021;53(4):908-916. Published online June 2, 2021; DOI: https://doi.org/10.4143/crt.2021.325

Abstract PDF PubReader ePub

Purpose
In Korea, the “Act on Hospice and Palliative Care and Decisions on Life-sustaining Treatment for Patients at the End of Life” was enacted on February 4, 2018. This study was conducted to analyze the current state of life-sustaining treatment decisions based on National Health Insurance Service (NHIS) data after the law came into force.
Materials and Methods
The data of 173,028 cancer deaths were extracted from NHIS qualification data between November 2015 and January 2019.
Results
The number of cancer deaths complied with the law process was 14,438 of 54,635 cases (26.4%). The rate of patient self-determination was 49.0%. The patients complying with the law process have used a hospice center more frequently (28% vs. 14%). However, the rate of intensive care unit (ICU) admission was similar between the patients who complied with and without the law process (ICU admission, 23% vs. 21%). There was no difference in the proportion of patients who had undergone mechanical ventilation and hemodialysis in the comparative analysis before and after the enforcement of the law and the analysis according to the compliance with the law. The patients who complied with the law process received cardiopulmonary resuscitation at a lower rate.
Conclusion
The law has positive effects on the rate of life-sustaining treatment decision by patient’s determination. However, there was no sufficient effect on the withholding or withdrawing of life-sustaining treatment, which could protect the patient from unnecessary or harmful interventions.

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Factors Affecting Life-Sustaining Treatment Decisions and Changes in Clinical Practice after Enforcement of the Life-Sustaining Treatment (LST) Decision Act: A Tertiary Hospital Experience in Korea
Yoon Jung Jang, Yun Jung Yang, Hoi Jung Koo, Hye Won Yoon, Seongbeom Uhm, Sun Young Kim, Jeong Eun Kim, Jin Won Huh, Tae Won Kim, Seyoung Seo
Cancer Research and Treatment.2025; 57(1): 280. CrossRef
Characteristics and outcomes of patients with do-not-resuscitate and physician orders for life-sustaining treatment in a medical intensive care unit: a retrospective cohort study
Song-I Lee, Ye-Rin Ju, Da Hyun Kang, Jeong Eun Lee
BMC Palliative Care.2024;[Epub] CrossRef
Characteristics of Life-Sustaining Treatment Decisions: National Data Analysis in South Korea
Jiyeon Choi, Heejung Jeon, Ilhak Lee
Asian Bioethics Review.2024; 16(1): 33. CrossRef
Recent Trends in the Withdrawal of Life-Sustaining Treatment in Patients with Acute Cerebrovascular Disease : 2017–2021
Seung Hwan Kim, Ji Hwan Jang, Young Zoon Kim, Kyu Hong Kim, Taek Min Nam
Journal of Korean Neurosurgical Society.2024; 67(1): 73. CrossRef
The Impact of Withdrawing or Withholding of Life-Sustaining Treatment: A Nationwide Case-Control Study Based on Medical Cost Analysis
Claire Junga Kim, Do-Kyong Kim, Sookyeong Mun, Minkook Son
Journal of Korean Medical Science.2024;[Epub] CrossRef
For the Universal Right to Access Quality End-of-Life Care in Korea: Broadening Our Perspective After the 2018 Life-Sustaining Treatment Decisions Act
Hye Yoon Park, Min Sun Kim, Shin Hye Yoo, Jung Lee, In Gyu Song, So Yeon Jeon, Eun Kyung Choi
Journal of Korean Medical Science.2024;[Epub] CrossRef
Differences in end-of-life care patterns between types of hospice used for cancer patients: a retrospective cohort study
Il Yun, Eun-Cheol Park, Chung Mo Nam, Jaeyong Shin, Suk-Yong Jang, Sung-In Jang
BMC Palliative Care.2024;[Epub] CrossRef
Epidemiology of patients who died in the emergency departments and need of end-of-life care in Korea from 2016 to 2019
Sun Young Lee, Young Sun Ro, Sang Do Shin, Eunsil Ko, Seong Jung Kim
Scientific Reports.2023;[Epub] CrossRef
Use of high‐flow nasal cannula oxygen therapy for patients with terminal cancer at the end of life
Jung Sun Kim, Jeongmi Shin, Nam Hee Kim, Sun Young Lee, Shin Hye Yoo, Bhumsuk Keam, Dae Seog Heo
Cancer Medicine.2023; 12(13): 14612. CrossRef
Preferred versus Actual Place of Care and Factors Associated with Home Discharge among Korean Patients with Advanced Cancer: A Retrospective Cohort Study
In Young Hwang, Yohan Han, Min Sun Kim, Kyae Hyung Kim, Belong Cho, Wonho Choi, Yejin Kim, Shin Hye Yoo, Sun Young Lee
Healthcare.2023; 11(13): 1939. CrossRef
Healthcare resource utilization and medical costs in patients with terminal cancer during best supportive care
Dong-Won Kang, Yoon-Bo Shim, Eui-Kyung Lee, Mi-Hai Park, Wen-Chi Chou
PLOS ONE.2022; 17(6): e0269565. CrossRef
Aggressiveness of care in the last days of life in the emergency department of a tertiary hospital in Korea
Jung Sun Kim, Sun Young Lee, Min Sung Lee, Shin Hye Yoo, Jeongmi Shin, Wonho Choi, Yejin Kim, Hyung Sook Han, Jinui Hong, Bhumsuk Keam, Dae Seog Heo
BMC Palliative Care.2022;[Epub] CrossRef
Effect of life-sustaining treatment decision law on pediatric in-hospital cardiopulmonary resuscitation rate: A Korean population-based study
Jaeyoung Choi, Ah Young Choi, Esther Park, Meong Hi Son, Joongbum Cho
Resuscitation.2022; 180: 38. CrossRef
Association of perceived life satisfaction with attitudes toward life-sustaining treatment among the elderly in South Korea: a cross-sectional study
Il Yun, Hyunkyu Kim, Eun-Cheol Park, Suk-Yong Jang
BMC Palliative Care.2022;[Epub] CrossRef
Willingness of patients with cancer pain to participate in end-of-life decisions: a multi-center cross-sectional study from three coastal provinces in southern China
Xi Ke, Hongyu Zhu, Yu Zhang, Ling Yang, Simei Shi, Fang Zhu, Huiyu Luo
BMC Palliative Care.2022;[Epub] CrossRef
The Law Changes Behaviors: Is It Just Enough?
Dae Ho Lee
Cancer Research and Treatment.2021; 53(4): 895. CrossRef

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Current Status and Cardinal Features of Patient Autonomy after Enactment of the Life-Sustaining Treatment Decisions Act in Korea: Hwa Jung Kim, Yu Jung Kim, Jung Hye Kwon, Young-Woong Won, Ha Yeon Lee, Sun Kyung Baek, Hyewon Ryu, Do Yeun Kim; Cancer Res Treat. 2021;53(4):917-925. Published online June 2, 2021; DOI: https://doi.org/10.4143/crt.2021.324

Abstract PDF PubReader ePub

Purpose
The main purpose of the Life-Sustaining Treatment Decisions Act recently enacted in Korea is to respect the patient’s self-determination. We aimed to investigate the current status and features of patient self-determination after implementation of the law.
Materials and Methods
Between February 2018 and January 2019, 54,635 cancer deaths were identified from the National Health Insurance Service (NHIS) database. We analyzed the characteristics of decedents who complied with the law process by self-determination compared with decedents with family determination and with decedents who did not comply with the law process.
Results
In multivariable analysis, patients with self-determination were younger, were less likely to live in rural areas, were less likely to belong to the highest income quintile, were less likely to be treated in general hospitals, and were more likely to show a longer time from cancer diagnosis compared with patients with family determination. Compared with patients who did not comply with the law process, patients with self-determination were younger, lived in Seoul or capital area, were less likely to belong to the highest income quintile, were treated in general hospitals, were less likely to have genitourinary or hematologic malignancies, scored higher on the Charlson comorbidity index, and showed a longer time from cancer diagnosis. Patients with self-determination were more likely to use hospice and less likely to use intensive care units (ICUs) at the end-of-life (EOL).
Conclusion
Decedents with self-determination were more likely to be younger, reside in the Seoul or capital area, show a longer time from cancer diagnosis, and were less likely to belong to the highest income quintile. They utilized hospice more frequently, and received less ICU care at the EOL.

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The effects of hospice care on healthcare expenditure among cancer patients
Hoyol Jhang, Wonjeong Jeong, Hyun-Soo Zhang, Dong-Woo Choi, Hyejung Kang, Sohee Park
BMC Health Services Research.2023;[Epub] CrossRef
Problems Related to the Act on Decisions on Life-Sustaining Treatment and Directions for Improvement
Dae Seog Heo, Shin Hye Yoo, Bhumsuk Keam, Sang Ho Yoo, Younsuck Koh
The Korean Journal of Hospice and Palliative Care.2022; 25(1): 1. CrossRef
Aggressiveness of care in the last days of life in the emergency department of a tertiary hospital in Korea
Jung Sun Kim, Sun Young Lee, Min Sung Lee, Shin Hye Yoo, Jeongmi Shin, Wonho Choi, Yejin Kim, Hyung Sook Han, Jinui Hong, Bhumsuk Keam, Dae Seog Heo
BMC Palliative Care.2022;[Epub] CrossRef
Use of antimicrobial agents in actively dying inpatients after suspension of life-sustaining treatments: Suggestion for antimicrobial stewardship
Dayeong Kim, Subin Kim, Kyoung Hwa Lee, Sang Hoon Han
Journal of Microbiology, Immunology and Infection.2022; 55(4): 651. CrossRef
Association of perceived life satisfaction with attitudes toward life-sustaining treatment among the elderly in South Korea: a cross-sectional study
Il Yun, Hyunkyu Kim, Eun-Cheol Park, Suk-Yong Jang
BMC Palliative Care.2022;[Epub] CrossRef
The Law Changes Behaviors: Is It Just Enough?
Dae Ho Lee
Cancer Research and Treatment.2021; 53(4): 895. CrossRef

6,569 View
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4 Web of Science
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Original Articles

CNS cancer

Detection of TERT Promoter Mutations Using Targeted Next-Generation Sequencing: Overcoming GC Bias through Trial and Error: Hyunwoo Lee, Boram Lee, Deok Geun Kim, Yoon Ah Cho, Jung-Sun Kim, Yeon-Lim Suh; Cancer Res Treat. 2022;54(1):75-83. Published online May 3, 2021; DOI: https://doi.org/10.4143/crt.2021.107

Abstract PDF Supplementary Material PubReader ePub

Purpose
Detection of telomerase reverse transcriptase (TERT) promoter mutations is a crucial process in the integrated diagnosis of glioblastomas. However, the TERT promoter region is difficult to amplify because of its high guanine-cytosine (GC) content (> 80%). This study aimed to analyze the capturing of TERT mutations by targeted next-generation sequencing (NGS) using formalin-fixed paraffin-embedded tissues.
Materials and Methods
We compared the detection rate of TERT mutations between targeted NGS and Sanger sequencing in 25 cases of isocitrate dehydrgenase (IDH)-wildtype glioblastomas and 10 cases of non-neoplastic gastric tissues. Our customized panel consisted of 232 essential glioma-associated genes.
Results
Sanger sequencing detected TERT mutations in 17 out of 25 glioblastomas, but all TERT mutations were missed by targeted NGS. After the manual visualization of the NGS data using an integrative genomics viewer, 16 cases showed a TERT mutation with a very low read depth (mean, 21.59; median, 25), which revealed false-negative results using auto-filtering. We optimized our customized panel by extending the length of oligonucleotide baits and increasing the number of baits spanning the coverage of the TERT promoter, which did not amplify well due to the high GC content.
Conclusion
Our study confirmed that it is crucial to consider the recognition of molecular bias and to carefully interpret NGS data.

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Modernizing Neuro-Oncology: The Impact of Imaging, Liquid Biopsies, and AI on Diagnosis and Treatment
John Rafanan, Nabih Ghani, Sarah Kazemeini, Ahmed Nadeem-Tariq, Ryan Shih, Thomas A. Vida
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Quality metrics for enhanced performance of an NGS panel using single-vial amplification technology
Subit Barua, Susan Hsiao, Emily Clancy, Christopher Freeman, Mahesh Mansukhani, Helen Fernandes
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Diagnostic utility of genetic alterations in distinguishing IDH‐wildtype glioblastoma from lower‐grade gliomas: Insight from next‐generation sequencing analysis of 479 cases
Boram Lee, Soohyun Hwang, Hyunsik Bae, Kyue‐Hee Choi, Yeon‐Lim Suh
Brain Pathology.2024;[Epub] CrossRef
Novel method for detecting frequent TERT promoter hot spot mutations in bladder cancer samples
Ákos Kovács, Farkas Sükösd, Levente Kuthi, Imre M. Boros, Balázs Vedelek
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Changes in Mutations of Cell-Free DNA and Liver Tumor Tissue in Patients with Advanced Hepatocellular Carcinoma before and after Introduction of Lenvatinib
Mio Tsuruoka, Masashi Ninomiya, Jun Inoue, Tomoaki Iwata, Akitoshi Sano, Kosuke Sato, Masazumi Onuki, Satoko Sawahashi, Atsushi Masamune
Oncology.2024; 102(12): 1072. CrossRef
Melanoma genomics – will we go beyond BRAF in clinics?
Justyna Mirek, Wiesław Bal, Magdalena Olbryt
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Deep Learning Prediction of TERT Promoter Mutation Status in Thyroid Cancer Using Histologic Images
Jinhee Kim, Seokhwan Ko, Moonsik Kim, Nora Jee-Young Park, Hyungsoo Han, Junghwan Cho, Ji Young Park
Medicina.2023; 59(3): 536. CrossRef
Facilitation of Definitive Cancer Diagnosis With Quantitative Molecular Assays of BRAF V600E and TERT Promoter Variants in Patients With Thyroid Nodules
Guodong Fu, Ronald S. Chazen, Eric Monteiro, Allan Vescan, Jeremy L. Freeman, Ian J. Witterick, Christina MacMillan
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Molecular Biomarkers and Recent Liquid Biopsy Testing Progress: A Review of the Application of Biosensors for the Diagnosis of Gliomas
Yuanbin Wu, Xuning Wang, Meng Zhang, Dongdong Wu
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Novel, clinically relevant genomic patterns identified by comprehensive genomic profiling in ATRX-deficient IDH-wildtype adult high-grade gliomas
Gábor Bedics, Péter Szőke, Bence Bátai, Tibor Nagy, Gergő Papp, Noémi Kránitz, Hajnalka Rajnai, Lilla Reiniger, Csaba Bödör, Bálint Scheich
Scientific Reports.2023;[Epub] CrossRef

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General

Analysis of Cancer Patient Decision-Making and Health Service Utilization after Enforcement of the Life-Sustaining Treatment Decision-Making Act in Korea: Dalyong Kim, Shin Hye Yoo, Seyoung Seo, Hyun Jung Lee, Min Sun Kim, Sung Joon Shin, Chi-Yeon Lim, Do Yeun Kim, Dae Seog Heo, Chae-Man Lim; Cancer Res Treat. 2022;54(1):20-29. Published online April 12, 2021; DOI: https://doi.org/10.4143/crt.2021.131

Abstract PDF PubReader ePub

Purpose
This study aimed to confirm the decision-making patterns for life-sustaining treatment (LST) and analyze medical service utilization changes after enforcement of the Life-Sustaining Treatment Decision-Making Act.
Materials and Methods
Of 1,237 patients who completed legal forms for life-sustaining treatment (hereafter called the LST form) at three academic hospitals and died at the same institutions, 1,018 cancer patients were included. Medical service utilization and costs were analyzed using claims data.
Results
The median time to death from completion of the LST form was three days (range, 0 to 248 days). Of these, 517 people died within two days of completing the document, and 36.1% of all patients prepared the LST form themselves. The frequency of use of the intensive care unit, continuous renal replacement therapy, and mechanical ventilation was significantly higher when the families filled out the form without knowing the patient’s intention. In the top 10% of the medical expense groups, the decision-makers for LST were family members rather than patients (28% patients vs. 32% family members who knew and 40% family members who did not know the patient’s intention).
Conclusion
The cancer patient’s own decision-making rather than the family’s decision was associated with earlier decision-making, less use of some critical treatments (except chemotherapy) and expensive evaluations, and a trend toward lower medical costs.

Citations

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Factors Affecting Life-Sustaining Treatment Decisions and Changes in Clinical Practice after Enforcement of the Life-Sustaining Treatment (LST) Decision Act: A Tertiary Hospital Experience in Korea
Yoon Jung Jang, Yun Jung Yang, Hoi Jung Koo, Hye Won Yoon, Seongbeom Uhm, Sun Young Kim, Jeong Eun Kim, Jin Won Huh, Tae Won Kim, Seyoung Seo
Cancer Research and Treatment.2025; 57(1): 280. CrossRef
Characteristics of Life-Sustaining Treatment Decisions: National Data Analysis in South Korea
Jiyeon Choi, Heejung Jeon, Ilhak Lee
Asian Bioethics Review.2024; 16(1): 33. CrossRef
Characteristics and outcomes of patients with do-not-resuscitate and physician orders for life-sustaining treatment in a medical intensive care unit: a retrospective cohort study
Song-I Lee, Ye-Rin Ju, Da Hyun Kang, Jeong Eun Lee
BMC Palliative Care.2024;[Epub] CrossRef
For the Universal Right to Access Quality End-of-Life Care in Korea: Broadening Our Perspective After the 2018 Life-Sustaining Treatment Decisions Act
Hye Yoon Park, Min Sun Kim, Shin Hye Yoo, Jung Lee, In Gyu Song, So Yeon Jeon, Eun Kyung Choi
Journal of Korean Medical Science.2024;[Epub] CrossRef
Comparison of factors influencing the decision to withdraw life-sustaining treatment in intensive care unit patients after implementation of the Life-Sustaining Treatment Act in Korea
Claire Junga Kim, Kyung Sook Hong, Sooyoung Cho, Jin Park
Acute and Critical Care.2024; 39(2): 294. CrossRef
Nurses' engagement in advance care planning practices: A descriptive cross‐sectional study
Sangmin Lee, Naixue Cui, Hyejin Kim
Journal of Clinical Nursing.2024;[Epub] CrossRef
Issues and implications of the life-sustaining treatment decision act: comparing the data from the survey and clinical data of inpatients at the end-of-life process
Eunjeong Song, Dongsoon Shin, Jooseon Lee, Seonyoung Yun, Minjeong Eom, Suhee Oh, Heejung Lee, Jiwan Lee, Rhayun Song
BMC Medical Ethics.2024;[Epub] CrossRef
Development and Feasibility Evaluation of Smart Cancer Care 2.0 Based on Patient-Reported Outcomes for Post-Discharge Management of Patients with Cancer
Jin Ah Kwon, Songsoo Yang, Su-Jin Koh, Young Ju Noh, Dong Yoon Kang, Sol Bin Yang, Eun Ji Kwon, Jeong-Wook Seo, Jin sung Kim, Minsu Ock
Cancer Research and Treatment.2024; 56(4): 1040. CrossRef
Advance Care Planning in South Korea
Yu Jung Kim, Sun-Hyun Kim
Zeitschrift für Evidenz, Fortbildung und Qualität im Gesundheitswesen.2023; 180: 68. CrossRef
Preferred versus Actual Place of Care and Factors Associated with Home Discharge among Korean Patients with Advanced Cancer: A Retrospective Cohort Study
In Young Hwang, Yohan Han, Min Sun Kim, Kyae Hyung Kim, Belong Cho, Wonho Choi, Yejin Kim, Shin Hye Yoo, Sun Young Lee
Healthcare.2023; 11(13): 1939. CrossRef

7,742 View
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Lung Cancer

Clinical Significance of Acute Kidney Injury in Lung Cancer Patients: Semin Cho, Eunjeong Kang, Ji Eun Kim, U Kang, Hee Gyung Kang, Minsu Park, Kwangsoo Kim, Dong Ki Kim, Kwon Wook Joo, Yon Su Kim, Hyung-Jin Yoon, Hajeong Lee; Cancer Res Treat. 2021;53(4):1015-1023. Published online January 18, 2021; DOI: https://doi.org/10.4143/crt.2020.1010

Abstract PDF Supplementary Material PubReader ePub

Purpose
Acute kidney injury (AKI) in cancer patients is associated with increased morbidity and mortality. The incidence of AKI in lung cancer seems to be relatively higher compared with other solid organ malignancies, although its impact on patient outcomes remains unclear.
Materials and Methods
The patients newly diagnosed with lung cancer from 2004 to 2013 were enrolled in this retrospective cohort study. The patients were categorized according to the presence and severity of AKI. We compared all-cause mortality and long-term renal outcome according to AKI stage.
Results
A total of 3,202 patients were included in the final analysis. AKI occurred in 1,783 (55.7%) patients during the follow-up period, with the majority having mild AKI stage 1 (75.8%). During the follow-up of 2.6±2.2 years, total 1,251 patients (53.7%) were died and 5-year survival rate was 46.9%. We found that both AKI development and severity were independent risk factors for all-cause mortality in lung cancer patients, even after adjustment for lung cancer-specific variables including the stage or pathological type. In addition, patients suffered from more severe AKI tend to encounter de novo chronic kidney disease development, worsening kidney function, and end-stage kidney disease progression.
Conclusion
In this study, more than half of the lung cancer patients experienced AKI during their diagnosis and treatment period. Moreover, AKI occurrence and more advanced AKI were associated with a higher mortality risk and adverse kidney outcomes.

Citations

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Acute kidney injury associated with anti-PD-1 and anti-PD-L1 drugs: a meta-analysis of randomized clinical trials
Isabela Gonçalves Lima, Isabele Benck Usiro Cabral da Silva, Vitória Carpentieri Pípolo, Vinicius Daher Alvares Delfino, Paulo Roberto Bignardi
Immunopharmacology and Immunotoxicology.2024; 46(4): 470. CrossRef
Prevalence of kidney disease in patients with different types of cancer or hematological malignancies: a cross-sectional study
Feng Wu, Shiyuan Wang, Jialing Zhang, Peixin Wang, Aihua Zhang
International Urology and Nephrology.2024; 56(12): 3835. CrossRef
Protective effect of reduced glutathione on acute kidney injury in lung cancer patients treated with cisplatin: a retrospective cohort study
Ying Huang, Yang Li, Xialian Xu, Jie Teng, Xiaoqiang Ding, Jiarui Xu
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Huijuan Qian, Si Li, Ziyun Hu
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Xiayuan Huang, ShuShun Ren, Xinyue Mao, Serena Chen, Elle Chen, Yuqi He, Yun Jiang
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Association and prediction of red blood cell distribution width to albumin ratio in all-cause mortality of acute kidney injury in critically ill patients
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Point of care ultrasonography in onco-nephrology: A stride toward better physical examination
Bhavna Bhasin-Chhabra, Abhilash Koratala
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Protocolo diagnóstico y tratamiento de la nefropatía en los pacientes con neoplasia sólida
Rodríguez Doyágüez, M.P. Morán Magro, C.M. Durán López, P. Martínez Miguel
Medicine - Programa de Formación Médica Continuada Acreditado.2023; 13(82): 4870. CrossRef

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Gastrointestinal Cancer

LASSO-Based Machine Learning Algorithm for Prediction of Lymph Node Metastasis in T1 Colorectal Cancer: Jeonghyun Kang, Yoon Jung Choi, Im-kyung Kim, Hye Sun Lee, Hogeun Kim, Seung Hyuk Baik, Nam Kyu Kim, Kang Young Lee; Cancer Res Treat. 2021;53(3):773-783. Published online December 29, 2020; DOI: https://doi.org/10.4143/crt.2020.974

Abstract PDF Supplementary Material PubReader ePub

Purpose
The role of tumor-infiltrating lymphocytes (TILs) in predicting lymph node metastasis (LNM) in patients with T1 colorectal cancer (CRC) remains unclear. Furthermore, clinical utility of a machine learning–based approach has not been widely studied.
Materials and Methods
Immunohistochemistry for TILs against CD3, CD8, and forkhead box P3 in both center and invasive margin of the tumor were performed using surgically resected T1 CRC slides. Three hundred and sixteen patients were enrolled and categorized into training (n=221) and validation (n=95) sets via random sampling. Using clinicopathologic variables including TILs, the least absolute shrinkage and selection operator (LASSO) regression model was applied for variable selection and predictive signature building in the training set. The predictive accuracy of our model and the Japanese criteria were compared using area under the receiver operating characteristic (AUROC), net reclassification improvement (NRI)/integrated discrimination improvement (IDI), and decision curve analysis (DCA) in the validation set.
Results
LNM was detected in 29 (13.1%) and 12 (12.6%) patients in training and validation sets, respectively. Nine variables were selected and used to generate the LASSO model. Its performance was similar in training and validation sets (AUROC, 0.795 vs. 0.765; p=0.747). In the validation set, the LASSO model showed better outcomes in predicting LNM than Japanese criteria, as measured by AUROC (0.765 vs. 0.518, p=0.003) and NRI (0.447, p=0.039)/IDI (0.121, p=0.034). DCA showed positive net benefits in using our model.
Conclusion
Our LASSO model incorporating histopathologic parameters and TILs showed superior performance compared to conventional Japanese criteria in predicting LNM in patients with T1 CRC.

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Journal of Asthma.2025; 62(3): 465. CrossRef
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Xingjian Xiao, Xiaohan Yi, Nyi Nyi Soe, Phyu Mon Latt, Luotao Lin, Xuefen Chen, Hualing Song, Bo Sun, Hailei Zhao, Xianglong Xu
Annals of Epidemiology.2025; 101: 27. CrossRef
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Colorectal Disease.2025;[Epub] CrossRef
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Nabanita Das, Bikash Sadhukhan, Chayan Ghosh, Avigyan Chowdhury, Satyajit Chakrabarti
SN Computer Science.2025;[Epub] CrossRef
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Scientific Reports.2025;[Epub] CrossRef
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Frontiers in Plant Science.2025;[Epub] CrossRef
Following intravenous thrombolysis, the outcome of diabetes mellitus associated with acute ischemic stroke was predicted via machine learning
Xiaoqing Liu, Miaoran Wang, Rui Wen, Haoyue Zhu, Ying Xiao, Qian He, Yangdi Shi, Zhe Hong, Bing Xu
Frontiers in Pharmacology.2025;[Epub] CrossRef
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Ran Ni, Yongjie Huang, Lei Wang, Hongjie Chen, Guorui Zhang, Yali Yu, Yinglan Kuang, Yuyan Tang, Xing Lu, Hong Liu
BMC Cancer.2025;[Epub] CrossRef
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Yuzhu Zhang, Chenglong Fang, Lizhong Zhang, Fengyu Ma, Meihong Sun, Ning Zhang, Nan Bai, Jun Wu
Burns.2025; 51(3): 107413. CrossRef
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Xueke Gao, Yangtao Xu, Xinyao Hu, Jiayu Chen, Daoming Zhang, Ximing Xu
Gene.2025; 944: 149299. CrossRef
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Xue Yao, Shuhui Wang, Anning Lu, Yun Xu, Na Li
Frontiers in Oncology.2025;[Epub] CrossRef
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Asia-Pacific Journal of Oncology Nursing.2025; 12: 100679. CrossRef
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Archives of Gerontology and Geriatrics.2025; : 105810. CrossRef
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Zhuyang Chu, Yiming Li, Jianjun Ge
Computer Methods in Biomechanics and Biomedical Engineering.2025; : 1. CrossRef
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Xiaobo Zhu, He Sun, Yuhan Wang, Gang Hu, Lizhi Shao, Song Zhang, Fucheng Liu, Chongwei Chi, Kunshan He, Jianqiang Tang, Yu An, Jie Tian, Zhenyu Liu
IEEE Transactions on Medical Imaging.2025; 44(3): 1568. CrossRef
Additional staining for lymphovascular invasion is associated with increased estimation of lymph node metastasis in patients with T1 colorectal cancer: Systematic review and meta‐analysis
Jun Watanabe, Katsuro Ichimasa, Yuki Kataoka, Atsushi Miki, Hidehiro Someko, Munenori Honda, Makiko Tahara, Takeshi Yamashina, Khay Guan Yeoh, Shigeo Kawai, Kazuhiko Kotani, Naohiro Sata
Digestive Endoscopy.2024; 36(5): 533. CrossRef
Risk assessment in pT1 colorectal cancer
Emma Jane Norton, Adrian C Bateman
Journal of Clinical Pathology.2024; 77(4): 225. CrossRef
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Yongyan Pei, Yikai Wu, Mengqi Zhang, Xuemin Su, Hua Cao, Jiaji Zhao
Biochemical Genetics.2024; 62(4): 3174. CrossRef
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Clinical Medicine Insights: Oncology.2024;[Epub] CrossRef
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Genes & Diseases.2024; 11(3): 101087. CrossRef
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James Weiquan Li, Lai Mun Wang, Katsuro Ichimasa, Kenneth Weicong Lin, James Chi-Yong Ngu, Tiing Leong Ang
Clinical Endoscopy.2024; 57(1): 24. CrossRef
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Shihao Li, Zihao Li, Lan Huang, Zhenyang Geng, Feng Li, Bin Wu, Yinliang Sheng, Yifan Xu, Bowen Li, Yiming Xu, Zhuoyu Gu, Yu Qi
International Journal of Oncology.2024;[Epub] CrossRef
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Best Practice & Research Clinical Gastroenterology.2024; 68: 101895. CrossRef
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Cancers.2024; 16(10): 1900. CrossRef
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Heliyon.2024; 10(5): e27379. CrossRef
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A. Yu. Kravchenko, E. V. Semina, V. V. Kakotkin, M. A. Agapov
Koloproktologia.2024; 23(2): 184. CrossRef
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Hongze Lin, Chen Zhou, Jiaying Li, Xiuqin Ma, Yan Yang, Taofeng Zhu
Scientific Reports.2024;[Epub] CrossRef
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Liqing Yu, Zhenjun Huang, Ziqi Xiao, Xiaofu Tang, Ziqiang Zeng, Xiaoli Tang, Wenhao Ouyang
Oncology Reports.2024;[Epub] CrossRef
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Frontiers in Oncology.2024;[Epub] CrossRef
Radiomics-based machine learning in the differentiation of benign and malignant bowel wall thickening
Hande Melike Bülbül, Gülen Burakgazi, Uğur Kesimal, Esat Kaba
Japanese Journal of Radiology.2024; 42(8): 872. CrossRef
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Pharmaceuticals.2024; 17(4): 429. CrossRef
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Kai Wang, Hui He, Yanyun Lin, Yanhong Zhang, Junguo Chen, Jiancong Hu, Xiaosheng He
International Journal of Colorectal Disease.2024;[Epub] CrossRef
Comprehensive analysis of the interaction of antigen presentation during anti‐tumour immunity and establishment of AIDPS systems in ovarian cancer
Wenhuizi Sun, Ping Xu, Kefei Gao, Wenqin Lian, Xiang Sun
Journal of Cellular and Molecular Medicine.2024;[Epub] CrossRef
Use of artificial intelligence for the prediction of lymph node metastases in early-stage colorectal cancer: systematic review
Nasya Thompson, Arthur Morley-Bunker, Jared McLauchlan, Tamara Glyn, Tim Eglinton
BJS Open.2024;[Epub] CrossRef
Machine learning for predicting colon cancer recurrence
Erkan Kayikcioglu, Arif Hakan Onder, Burcu Bacak, Tekin Ahmet Serel
Surgical Oncology.2024; 54: 102079. CrossRef
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Yi Wang, Xinmeng Yao, Dahui Wang, Chengyin Ye, Liangwen Xu
BMC Public Health.2024;[Epub] CrossRef
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Yao Liu, Min Wang, Jia-Bao Su, Xiao Fu, Guan-Li Zheng, Shan Guo, Li-Juan Zhang, Qing-Bo Lu
Scientific Reports.2024;[Epub] CrossRef
CXCR4-mediated neutrophil dynamics in periodontitis
Xuanwen Xu, Tiange Li, Jingqi Tang, Danlei Wang, Yi Zhou, Huiqing Gou, Lu Li, Yan Xu
Cellular Signalling.2024; 120: 111212. CrossRef
Hspb1 and Lgals3 in spinal neurons are closely associated with autophagy following excitotoxicity based on machine learning algorithms
Lei Yan, Zihao Li, Chuanbo Li, Jingyu Chen, Xun Zhou, Jiaming Cui, Peng Liu, Chong Shen, Chu Chen, Hongxiang Hong, Guanhua Xu, Zhiming Cui, Suyan Tian
PLOS ONE.2024; 19(5): e0303235. CrossRef
Impact of artificial intelligence in the management of esophageal, gastric and colorectal malignancies
Ayrton Bangolo, Nikita Wadhwani, Vignesh K Nagesh, Shraboni Dey, Hadrian Hoang-Vu Tran, Izage Kianifar Aguilar, Auda Auda, Aman Sidiqui, Aiswarya Menon, Deborah Daoud, James Liu, Sai Priyanka Pulipaka, Blessy George, Flor Furman, Nareeman Khan, Adewale Pl
Artificial Intelligence in Gastrointestinal Endoscopy.2024;[Epub] CrossRef
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Sijia Yang, Ang Li, Lihong Lv, Jinxin Duan, Zhihua Zheng, Wenfeng Zhuo, Jun Min, Jinxing Wei
OncoTargets and Therapy.2024; Volume 17: 423. CrossRef
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Chaonan Du, Cong Wang, Zhiwei Liu, Wenxuan Xin, Qizhe Zhang, Alleyar Ali, Xinrui Zeng, Zhenxing Li, Chiyuan Ma
International Immunopharmacology.2024; 137: 112449. CrossRef
Single-cell analysis and machine learning identify psoriasis-associated CD8+ T cells serve as biomarker for psoriasis
Sijia He, Lyuye Liu, Xiaoyan Long, Man Ge, Menghan Cai, Junling Zhang
Frontiers in Genetics.2024;[Epub] CrossRef
DcR3-associated risk score: correlating better prognosis and enhanced predictive power in colorectal cancer
Ying Duan, Hangrong Fang, Juanhong Wang, Banlai Ruan, Juan Yang, Jie Liu, Siqi Gou, Yijie Li, Zhengyi Cheng
Discover Oncology.2024;[Epub] CrossRef
Lymph node metastasis detection using artificial intelligence in T1 colorectal cancer: A comprehensive systematic review
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Journal of Surgical Oncology.2024; 130(3): 637. CrossRef
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Medicine.2024; 103(30): e38747. CrossRef
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Environmental Toxicology.2024; 39(10): 4729. CrossRef
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Yishu Xu, Zhenshu Ma, Yajie Wang, Long Zhang, Jiaming Ye, Yuan Chen, Zhengrong Yuan
Database.2024;[Epub] CrossRef
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Molecular Genetics and Genomics.2024;[Epub] CrossRef
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BMC Medical Imaging.2024;[Epub] CrossRef
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Heliyon.2024; 10(18): e37715. CrossRef
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Langenbeck's Archives of Surgery.2024;[Epub] CrossRef
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Energy and Buildings.2024; 323: 114773. CrossRef
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Journal of Thrombosis and Thrombolysis.2024; 58(2): 220. CrossRef
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Ecotoxicology and Environmental Safety.2024; 286: 117160. CrossRef
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iLABMED.2024; 2(4): 248. CrossRef
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Tingting Ge, Wei Wang, Dandan Zhang, Xubo Le, Lumei Shi
Heliyon.2024; 10(23): e40491. CrossRef
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eClinicalMedicine.2024; 78: 102969. CrossRef
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Psychology Research and Behavior Management.2024; Volume 17: 4413. CrossRef
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Xueling Wang, Haoran Li, Xiaotian Chang, Zibin Tian
Frontiers in Oncology.2023;[Epub] CrossRef
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Frontiers in Neuroscience.2023;[Epub] CrossRef
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Frontiers in Pediatrics.2023;[Epub] CrossRef
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Gastrointestinal Endoscopy.2023; 97(6): 1148. CrossRef
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Digestive Endoscopy.2022; 34(5): 901. CrossRef
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