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Genitourinary cancer
Bilateral Seminal Vesicle Invasion as a Strong Prognostic Indicator in T3b Prostate Cancer Patients Following Radical Prostatectomy: A Comprehensive, Multicenter, Long-term Follow-up Study
Jungyo Suh, In Gab Jeong, Hwang Gyun Jeon, Chang Wook Jeong, Sangchul Lee, Seong Soo Jeon, Seok-Soo Byun, Cheol Kwak, Hanjong Ahn
Cancer Res Treat. 2024;56(3):885-892.   Published online January 5, 2024
DOI: https://doi.org/10.4143/crt.2023.1264
AbstractAbstract PDFPubReaderePub
Purpose
Pathologic T3b (pT3b) prostate cancer, characterized by seminal vesicle invasion (SVI), exhibits variable oncological outcomes post–radical prostatectomy (RP). Identifying prognostic factors is crucial for patient-specific management. This study investigates the impact of bilateral SVI on prognosis in pT3b prostate cancer.
Materials and Methods
We evaluated the medical records of a multi-institutional cohort of men who underwent RP for prostate cancer with SVI between 2000 and 2012. Univariate and multivariable analyses were performed using Kaplan-Meier analysis and covariate-adjusted Cox proportional hazard regression for biochemical recurrence (BCR), clinical progression (CP), and cancer-specific survival (CSS).
Results
Among 770 men who underwent RP without neo-adjuvant treatment, median follow-up was 85.7 months. Patients with bilateral SVI had higher preoperative prostate-specific antigen levels and clinical T category (all p < 0.001). Extracapsular extension, tumor volume, lymph node metastasis (p < 0.001), pathologic Gleason grade group (p < 0.001), and resection margin positivity (p < 0.001) were also higher in patients with bilateral SVI. The 5-, 10-, and 15-year BCR-free survival rates were 23.9%, 11.7%, and 8.5%; CP-free survival rates were 82.8%, 62.5%, and 33.4%; and CSS rates were 96.4%, 88.1%, and 69.5%, respectively. The bilateral SVI group demonstrated significantly lower BCR-free survival rates, CP-free survival rates, and CSS rates (all p < 0.001). Bilateral SVI was independently associated with BCR (hazard ratio, 1.197; 95% confidence interval, p=0.049), CP (p=0.022), and CSS (p=0.038) in covariate-adjusted Cox regression.
Conclusion
Bilateral SVI is a robust, independent prognostic factor for poor oncological outcomes in pT3b prostate cancer.

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  • Role of [18F]-PSMA-1007 PET radiomics for seminal vesicle invasion prediction in primary prostate cancer
    Liang Luo, Xinyi Wang, Hongjun Xie, Hua Liang, Jungang Gao, Yang Li, Yuwei Xia, Mengmeng Zhao, Feng Shi, Cong Shen, Xiaoyi Duan
    Computers in Biology and Medicine.2024; 183: 109249.     CrossRef
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Oncological Outcomes in Men with Metastatic Castration-Resistant Prostate Cancer Treated with Enzalutamide with versus without Confirmatory Bone Scan
Chang Wook Jeong, Jang Hee Han, Dong Deuk Kwon, Jae Young Joung, Choung-Soo Kim, Hanjong Ahn, Jun Hyuk Hong, Tae-Hwan Kim, Byung Ha Chung, Seong Soo Jeon, Minyong Kang, Sung Kyu Hong, Tae Young Jung, Sung Woo Park, Seok Joong Yun, Ji Yeol Lee, Seung Hwan Lee, Seok Ho Kang, Cheol Kwak
Cancer Res Treat. 2024;56(2):634-641.   Published online December 5, 2023
DOI: https://doi.org/10.4143/crt.2023.848
AbstractAbstract PDFSupplementary MaterialPubReaderePub
Purpose
In men with metastatic castration-resistant prostate cancer (mCRPC), new bone lesions are sometimes not properly categorized through a confirmatory bone scan, and clinical significance of the test itself remains unclear. This study aimed to demonstrate the performance rate of confirmatory bone scans in a real-world setting and their prognostic impact in enzalutamide-treated mCRPC.
Materials and Methods
Patients who received oral enzalutamide for mCRPC during 2014-2017 at 14 tertiary centers in Korea were included. Patients lacking imaging assessment data or insufficient drug exposure were excluded. The primary outcome was overall survival (OS). Secondary outcomes included performance rate of confirmatory bone scans in a real-world setting. Kaplan-Meier analysis and multivariate Cox regression analysis were performed.
Results
Overall, 520 patients with mCRPC were enrolled (240 [26.2%] chemotherapy-naïve and 280 [53.2%] after chemotherapy). Among 352 responders, 92 patients (26.1%) showed new bone lesions in their early bone scan. Confirmatory bone scan was performed in 41 patients (44.6%), and it was associated with prolonged OS in the entire population (median, 30.9 vs. 19.7 months; p < 0.001), as well as in the chemotherapy-naïve (median, 47.2 vs. 20.5 months; p=0.011) and post-chemotherapy sub-groups (median, 25.5 vs. 18.0 months; p=0.006). Multivariate Cox regression showed that confirmatory bone scan performance was an independent prognostic factor for OS (hazard ratio 0.35, 95% confidence interval, 0.18 to 0.69; p=0.002).
Conclusion
Confirmatory bone scan performance was associated with prolonged OS. Thus, the premature discontinuation of enzalutamide without confirmatory bone scans should be discouraged.
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Next-generation Proteomics-Based Discovery, Verification, and Validation of Urine Biomarkers for Bladder Cancer Diagnosis
Jungyo Suh, Dohyun Han, Ja Hyeon Ku, Hyeon Hoe Kim, Cheol Kwak, Chang Wook Jeong
Cancer Res Treat. 2022;54(3):882-893.   Published online October 9, 2021
DOI: https://doi.org/10.4143/crt.2021.642
AbstractAbstract PDFSupplementary MaterialPubReaderePub
Purpose
We aimed to identify, verify, and validate a multiplex urinary biomarker-based prediction model for diagnosis and surveillance of urothelial carcinoma of bladder, using high-throughput proteomics methods.
Materials and Methods
Label-free quantification of data-dependent and data-independent acquisition of 12 and 24 individuals was performed in each of the discovery and verification phases using mass spectrometry, simultaneously using urinary exosome and proteins. Based on five scoring system based on proteomics data and statistical methods, we selected eight proteins. Enzyme-linked immunosorbent assay on urine from 120 patients with bladder mass lesions used for validation. Using multivariable logistic regression, we selected final candidate models for predicting bladder cancer.
Results
Comparing the discovery and verification cohorts, 38% (50/132 exosomal differentially expressed proteins [DEPs]) and 44% (109/248 urinary DEPs) are consistent at statistically significance, respectively. The 20 out of 50 exosome proteins and 27 out of 109 urinary proteins were upregulated in cancer patients. From eight selected proteins, we developed two diagnostic models for bladder cancer. The area under the receiver operating characteristic curve (AUROC) of two models were 0.845 and 0.842, which outperformed AUROC of urine cytology.
Conclusion
The results showed that the two diagnostic models developed here were more accurate than urine cytology. We successfully developed and validated a multiplex urinary protein-based prediction, which will have wide applications for the rapid diagnosis of urothelial carcinoma of the bladder. External validation for this biomarker panel in large population is required.

Citations

Citations to this article as recorded by  
  • A novel machine learning algorithm selects proteome signature to specifically identify cancer exosomes
    Bingrui Li, Fernanda G Kugeratski, Raghu Kalluri
    eLife.2024;[Epub]     CrossRef
  • A novel machine learning algorithm selects proteome signature to specifically identify cancer exosomes
    Bingrui Li, Fernanda G Kugeratski, Raghu Kalluri
    eLife.2024;[Epub]     CrossRef
  • Comprehensive Urinary Proteome Profiling Analysis Identifies Diagnosis and Relapse Surveillance Biomarkers for Bladder Cancer
    Qi Chang, Yongqiang Chen, Jianjian Yin, Tao Wang, Yuanheng Dai, Zixin Wu, Yufeng Guo, Lingang Wang, Yufen Zhao, Hang Yuan, Dongkui Song, Lirong Zhang
    Journal of Proteome Research.2024; 23(6): 2241.     CrossRef
  • Construction of noninvasive prognostic model of bladder cancer patients based on urine proteomics and screening of natural compounds
    Shun Wan, Jinlong Cao, Siyu Chen, Jianwei Yang, Huabin Wang, Chenyang Wang, Kunpeng Li, Li Yang
    Journal of Cancer Research and Clinical Oncology.2023; 149(1): 281.     CrossRef
  • Extracellular Vesicles as Potential Bladder Cancer Biomarkers: Take It or Leave It?
    Ana Teixeira-Marques, Catarina Lourenço, Miguel Carlos Oliveira, Rui Henrique, Carmen Jerónimo
    International Journal of Molecular Sciences.2023; 24(7): 6757.     CrossRef
  • Advances in the application of label‐free quantitative proteomics techniques in malignancy research
    Xiao Meng, Dong Liu, Yan Guan
    Biomedical Chromatography.2023;[Epub]     CrossRef
  • Off the fog to find the optimal choice: Research advances in biomarkers for early diagnosis and recurrence monitoring of bladder cancer
    Jiaxin Zhao, Jinming Li, Rui Zhang
    Biochimica et Biophysica Acta (BBA) - Reviews on Cancer.2023; 1878(4): 188926.     CrossRef
  • An overview of metabolomic and proteomic profiling in bipolar disorder and its clinical value
    Henrique Caracho Ribeiro, Flávia da Silva Zandonadi, Alessandra Sussulini
    Expert Review of Proteomics.2023; 20(11): 267.     CrossRef
  • Proteome and immune responses of extracellular vesicles derived from macrophages infected with the periodontal pathogen Tannerella forsythia
    Younggap Lim, Hyun Young Kim, Dohyun Han, Bong‐Kyu Choi
    Journal of Extracellular Vesicles.2023;[Epub]     CrossRef
  • A Liquid Biopsy in Bladder Cancer—The Current Landscape in Urinary Biomarkers
    Milena Matuszczak, Adam Kiljańczyk, Maciej Salagierski
    International Journal of Molecular Sciences.2022; 23(15): 8597.     CrossRef
  • Next-generation proteomics of serum extracellular vesicles combined with single-cell RNA sequencing identifies MACROH2A1 associated with refractory COVID-19
    Takahiro Kawasaki, Yoshito Takeda, Ryuya Edahiro, Yuya Shirai, Mari Nogami-Itoh, Takanori Matsuki, Hiroshi Kida, Takatoshi Enomoto, Reina Hara, Yoshimi Noda, Yuichi Adachi, Takayuki Niitsu, Saori Amiya, Yuta Yamaguchi, Teruaki Murakami, Yasuhiro Kato, Tak
    Inflammation and Regeneration.2022;[Epub]     CrossRef
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  • 10 Web of Science
  • 11 Crossref
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Prediction of Pathologic Findings with MRI-Based Clinical Staging Using the Bayesian Network Modeling in Prostate Cancer: A Radiation Oncologist Perspective
Chan Woo Wee, Bum-Sup Jang, Jin Ho Kim, Chang Wook Jeong, Cheol Kwak, Hyun Hoe Kim, Ja Hyeon Ku, Seung Hyup Kim, Jeong Yeon Cho, Sang Youn Kim
Cancer Res Treat. 2022;54(1):234-244.   Published online May 17, 2021
DOI: https://doi.org/10.4143/crt.2020.1221
AbstractAbstract PDFSupplementary MaterialPubReaderePub
Purpose
This study aimed to develop a model for predicting pathologic extracapsular extension (ECE) and seminal vesicle invasion (SVI) while integrating magnetic resonance imaging-based T-staging (cTMRI, cT1c-cT3b).
Materials and Methods
A total of 1,915 who underwent radical prostatectomy between 2006-2016 met the inclusion/exclusion criteria. We performed a multivariate logistic regression analysis as well as Bayesian network (BN) modeling based on possible confounding factors. The BN model was internally validated using 5-fold validation.
Results
According to the multivariate logistic regression analysis, initial prostate-specific antigen (iPSA) (β=0.050, p < 0.001), percentage of positive biopsy cores (PPC) (β=0.033, p < 0.001), both lobe involvement on biopsy (β=0.359, p=0.009), Gleason score (β=0.358, p < 0.001), and cTMRI (β=0.259, p < 0.001) were significant factors for ECE. For SVI, iPSA (β=0.037, p < 0.001), PPC (β=0.024, p < 0.001), Gleason score (β=0.753, p < 0.001), and cTMRI (β=0.507, p < 0.001) showed statistical significance. BN models to predict ECE and SVI were also successfully established. The overall area under the receiver operating characteristic curve (AUC)/accuracy of the BN models were 0.76/73.0% and 0.88/89.6% for ECE and SVI, respectively. According to internal comparison between the BN model and Roach formula, BN model had improved AUC values for predicting ECE (0.76 vs. 0.74, p=0.060) and SVI (0.88 vs. 0.84, p < 0.001).
Conclusion
Two models to predict pathologic ECE and SVI integrating cTMRI were established and installed on a separate website for public access to guide radiation oncologists.

Citations

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  • Measurements of target volumes and organs at risk using DW‑MRI in patients with central lung cancer accompanied with atelectasis
    Xinli Zhang, Tong Liu, Hong Zhang, Mingbin Zhang
    Molecular and Clinical Oncology.2023;[Epub]     CrossRef
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  • 143 Download
  • 1 Web of Science
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Application of the International Metastatic Renal Cell Carcinoma Database Consortium and Memorial Sloan Kettering Cancer Center Risk Models in Patients with Metastatic Non-Clear Cell Renal Cell Carcinoma: A Multi-Institutional Retrospective Study Using the Korean Metastatic Renal Cell Carcinoma Registry
Jung Kwon Kim, Sung Han Kim, Mi Kyung Song, Jungnam Joo, Seong Il Seo, Cheol Kwak, Chang Wook Jeong, Cheryn Song, Eu Chang Hwang, Ill Young Seo, Hakmin Lee, Sung-Hoo Hong, Jae Young Park, Jinsoo Chung, Korean Renal Cell Carcinoma Study Group
Cancer Res Treat. 2019;51(2):758-768.   Published online September 7, 2018
DOI: https://doi.org/10.4143/crt.2018.421
AbstractAbstract PDFSupplementary MaterialPubReaderePub
Purpose
The International Metastatic Renal Cell Carcinoma Database Consortium (IMDC) and the Memorial Sloan Kettering Cancer Center (MSKCC) risk models were developed predominantly with clear cell renal cell carcinoma (RCC). Accordingly, whether these two models could be applied to metastatic non-clear cell RCC (mNCCRCC) as well has not been well-known and was investigated herein.
Materials and Methods
From the Korean metastatic RCC registry, a total of 156 patients (8.1%) with mNCCRCC among the entire cohort of 1,922 patients were analyzed. Both models were applied to predict first-line progression-free survival (PFS), total PFS, and cancer-specific survival (CSS).
Results
The median first-line PFS, total PFS, and CSS were 5, 6, and 24 months, respectively. The IMDC risk model reliably discriminated three risk groups to predict survival: the median firstline PFS, total PFS, and CSS for the favorable, intermediate, and poor risk groups were 9, 5, and, 2 months (p=0.001); 14, 7, and 2 months (p < 0.001); and 41, 21, and 8 months (p < 0.001), all respectively. The MSKCC risk model also reliably differentiated three risk groups: 9, 5, and, 2 months (p=0.005); 10, 7, and 3 months (p=0.002); and 50, 21, and 8 months (p < 0.001), also all respectively. The concordance indices were 0.632 with the IMDC model and 0.643 with the MSKCC model for first-line PFS: 0.748 and 0.655 for CSS.
Conclusion
The current IMDC and MSKCC risk models reliably predict first-line PFS, total PFS, and CSS in mNCCRCC.

Citations

Citations to this article as recorded by  
  • Advances in non‐clear cell renal cell carcinoma management: From heterogeneous biology to treatment options
    Nathaniel R. Wilson, Yusuf Acikgoz, Elshad Hasanov
    International Journal of Cancer.2024; 154(6): 947.     CrossRef
  • Survival pattern of metastatic renal cell carcinoma patients according to WHO/ISUP grade: a long-term multi-institutional study
    Joongwon Choi, Seokhwan Bang, Jungyo Suh, Chang Il Choi, Wan Song, Hyeong Dong Yuk, Chan Ho Lee, Minyong Kang, Seol Ho Choo, Jung Kwon Kim, Hyung Ho Lee, Jung Ki Jo, Eu Chang Hwang, Chang Wook Jeong, Young Hwii Ko, Jae Young Park, Cheryn Song, Seong Il Se
    Scientific Reports.2024;[Epub]     CrossRef
  • Prognostic Factors and Treatment Outcomes in Renal Cell Carcinoma: A Comprehensive Analysis
    Ömer Faruk ELÇİÇEK, Mehmet KÜÇÜKÖNER
    Namık Kemal Tıp Dergisi.2024; : 217.     CrossRef
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    Fady Sidhom, Shefali Patel, Arpita Desai, Arnab Basu
    Clinical Genitourinary Cancer.2024; 22(6): 102235.     CrossRef
  • Machine learning based prediction for oncologic outcomes of renal cell carcinoma after surgery using Korean Renal Cell Carcinoma (KORCC) database
    Jung Kwon Kim, Sangchul Lee, Sung Kyu Hong, Cheol Kwak, Chang Wook Jeong, Seok Ho Kang, Sung-Hoo Hong, Yong-June Kim, Jinsoo Chung, Eu Chang Hwang, Tae Gyun Kwon, Seok-Soo Byun, Yu Jin Jung, Junghyun Lim, Jiyeon Kim, Hyeju Oh
    Scientific Reports.2023;[Epub]     CrossRef
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    Shawna R. Calhoun, Manish Sharma, Chung-Han Lee
    Kidney Cancer.2023; 7(1): 123.     CrossRef
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    Investigative and Clinical Urology.2022; 63(6): 602.     CrossRef
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    International Urology and Nephrology.2020; 52(1): 21.     CrossRef
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    Malignant tumours.2019; 9(2): 45.     CrossRef
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Effects of Aspirin, Nonsteroidal Anti-inflammatory Drugs, Statin, and COX2 Inhibitor on the Developments of Urological Malignancies: A Population-Based Study with 10-Year Follow-up Data in Korea
Minyong Kang, Ja Hyeon Ku, Cheol Kwak, Hyeon Hoe Kim, Chang Wook Jeong
Cancer Res Treat. 2018;50(3):984-991.   Published online October 27, 2017
DOI: https://doi.org/10.4143/crt.2017.248
AbstractAbstract PDFSupplementary MaterialPubReaderePub
Purpose
The purpose of this study was to determine the impact of aspirin, nonsteroidal anti-inflammatory drugs (NSAIDs), statin, and cyclooxygenase 2 (COX-2) inhibitor on the development of kidney, prostate, and urothelial cancers by analyzing the Korean National Health Insurance Service–National Sample Cohort (NHIS-NSC) database.
Materials and Methods
Among a representative sample cohort of 1,025,340 participants in NHIS-NSC database in 2002, we extracted data of 799,850 individuals who visited the hospital more than once, and finally included 321,122 individuals aged 40 and older. Following a 1-year washout period between 2002 and 2003, we analyzed 143,870 (male), 320,861 and 320,613 individuals for evaluating the risk of prostate cancer, kidney cancer and urothelial cancer developments, respectively, during 10-year follow-up periods between 2004 and 2013. The medication group consisted of patients prescribed these drugs more than 60% of the time in 2003. To adjustfor various parameters of the patients, a multivariate Cox regression model was adopted.
Results
During 10-year follow-up periods between 2004 and 2013, 9,627 (6.7%), 1,107 (0.4%), and 2,121 (0.7%) patients were diagnosed with prostate cancer, kidney cancer, and urothelial cancer, respectively. Notably, multivariate analyses revealed that NSAIDs significantly increased the risk of prostate cancer (hazard ratio [HR], 1.35). Also, it was found that aspirin (HR, 1.28) and statin (HR, 1.55) elevated the risk of kidney cancer. No drugs were associated with the risk of urothelial cancer.
Conclusion
In sum, our study provides the valuable information for the impact of aspirin, NSAID, statin, and COX-2 inhibitor on the risk of prostate, kidney, and urothelial cancer development and its survival outcomes.

Citations

Citations to this article as recorded by  
  • Association between Statin Use and Clinical Outcomes in Patients with De Novo Metastatic Prostate Cancer: A Propensity Score-weighted Analysis
    Tzu Shuang Chen, Hui Ying Liu, Yin Lun Chang, Yao Chi Chuang, Yen Ta Chen, Yu Li Su, Chun Chieh Huang, Yen Ting Wu, Hung Jen Wang, Hao Lun Luo
    The World Journal of Men's Health.2024; 42(3): 630.     CrossRef
  • Establishment of Prospective Registry of Active Surveillance for Prostate Cancer: The Korean Urological Oncology Society Database
    Gyoohwan Jung, Jung Kwon Kim, Seong Soo Jeon, Jae Hoon Chung, Cheol Kwak, Chang Wook Jeong, Hanjong Ahn, Jae Young Joung, Tae Gyun Kwon, Sung Woo Park, Seok-Soo Byun
    The World Journal of Men's Health.2023; 41(1): 110.     CrossRef
  • Evaluation of statin use and renal cell carcinoma risk identifies sex-specific associations with RCC subtypes
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    Acta Oncologica.2023; 62(9): 988.     CrossRef
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    Shaodi Ma, Weihang Xia, Birong Wu, Chenyu Sun, Yuemeng Jiang, Haixia Liu, Scott Lowe, Zhen Zhou, Peng Xie, Juan Gao, Linya Feng, Xianwei Guo, Guangbo Qu, Yehuan Sun
    European Journal of Clinical Pharmacology.2023; 79(11): 1475.     CrossRef
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    Hwanik Kim, Jung Kwon Kim
    The World Journal of Men's Health.2022; 40(3): 412.     CrossRef
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    Claudia Santucci, Silvano Gallus, Marco Martinetti, Carlo La Vecchia, Cristina Bosetti
    International Journal of Cancer.2021; 148(6): 1372.     CrossRef
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    Journal of Affective Disorders.2021; 292: 75.     CrossRef
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    Bo Fan, Alradhi Mohammed, Yuanbin Huang, Hong Luo, Hongxian Zhang, Shenghua Tao, Weijiao Xu, Qian Liu, Tao He, Huidan Jin, Mengfan Sun, Man Sun, Zhifei Yun, Rui Zhao, Guoyu Wu, Xiancheng Li
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    Chang Wook Jeong, Jungyo Suh, Hyeong Dong Yuk, Bum Sik Tae, Miso Kim, Bhumsuk Keam, Jin Ho Kim, Sang Youn Kim, Jeong Yeon Cho, Seung Hyup Kim, Kyung Chul Moon, Gi Jeong Cheon, Ja Hyeon Ku, Hyeon Hoe Kim, Cheol Kwak
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    Current Opinion in Urology.2018; 28(6): 499.     CrossRef
  • Intake of Non-steroidal Anti-inflammatory Drugs and the Risk of Prostate Cancer: A Meta-Analysis
    Zhenhua Shang, Xue Wang, Hao Yan, Bo Cui, Qi Wang, Jiangtao Wu, Xin Cui, Jin Li, Tongwen Ou, Kun Yang
    Frontiers in Oncology.2018;[Epub]     CrossRef
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  • 17 Web of Science
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Selection Criteria for Active Surveillance of Patients with Prostate Cancer in Korea: A Multicenter Analysis of Pathology after Radical Prostatectomy
Chang Wook Jeong, Sung Kyu Hong, Seok Soo Byun, Seong Soo Jeon, Seong Il Seo, Hyun Moo Lee, Hanjong Ahn, Dong Deuk Kwon, Hong Koo Ha, Tae Gyun Kwon, Jae Seung Chung, Cheol Kwak, Hyung Jin Kim
Cancer Res Treat. 2018;50(1):265-274.   Published online April 14, 2017
DOI: https://doi.org/10.4143/crt.2016.477
AbstractAbstract PDFSupplementary MaterialPubReaderePub
Purpose
Korean patients with prostate cancer (PC) typically present with a more aggressive disease than patients in Western populations. Consequently, it is unclear if the current criteria for active surveillance (AS) can safely be applied to Korean patients. Therefore, this study was conducted to define appropriate selection criteria for AS for patients with PC in Korea.
Materials and Methods
We conducted a multicenter retrospective study of 2,126 patients with low risk PC who actually underwent radical prostatectomy. The primary outcome was an unfavorable disease, which was defined by non-organ confined disease or an upgrading of the Gleason score to ≥ 7 (4+3). Predictive variables of an unfavorable outcome were identified by multivariate analysis using randomly selected training samples (n=1,623, 76.3%). We compared our selected criteria to various Western criteria for the primary outcome and validated our criteria using the remaining validation sample (n=503, 23.7%).
Results
A non-organ confined disease rate of 14.9% was identified, with an increase in Gleason score ≥ 7 (4+3) of 8.7% and a final unfavorable disease status of 20.8%. The following criteria were selected: Gleason score ≤ 6, clinical stage T1-T2a, prostate-specific antigen (PSA) ≤ 10 ng/mL, PSA density < 0.15 ng/mL/mL, number of positive cores ≤ 2, and maximum cancer involvement in any one core ≤ 20%. These criteria provided the lowest unfavorable disease rate (11.7%) when compared to Western criteria (13.3%-20.7%), and their validity was confirmed using the validation sample (5.9%).
Conclusion
We developed AS criteria which are appropriate for Korean patients with PC. Prospective studies using these criteria are now warranted.

Citations

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Conditional Survival and Associated Prognostic Factors in Patients with Upper Tract Urothelial Carcinoma after Radical Nephroureterectomy: A Retrospective Study at a Single Institution
Minyong Kang, Hyung Suk Kim, Chang Wook Jeong, Cheol Kwak, Hyeon Hoe Kim, Ja Hyeon Ku
Cancer Res Treat. 2016;48(2):621-631.   Published online September 9, 2015
DOI: https://doi.org/10.4143/crt.2015.220
AbstractAbstract PDFSupplementary MaterialPubReaderePub
Purpose
The purpose of this study is to evaluate the changes of conditional survival (CS) probabilities and to identify the prognostic parameters that significantly affect CS over time post-surgery in upper tract urothelial carcinoma (UTUC) patients. Materials and Methods A total of 330 patients were examined in the final analysis. Primary end point was conditional cancer-specific survival (CSS), overall survival (OS), and intravesical recurrence-free survival (IVRFS) after surgery. The Kaplan-Meier method was used for calculation of CS. Cox regression hazard ratio model was used to determine the predictors of CS.
Results
UTUC patients who had already survived 5 years after radical nephroureterectomy had a more favorable CS probability in all given survivorships compared to those with shorter survival times. Patients with unfavorable pathologic features showed a higher increment of 5-year conditional CSS and OS compared to their counterparts. For 5-year conditional CSS, several factors, including high-grade tumor, lymphovascular invasion, and tumor location showed significant association with risk elevation over time. Only age remained as a predictor of 5-year conditional OS with increased risk in all given survivorships. For 5-year IVRFS, no variables remained as significant predictive factors over time after surgery. Conclusion Our study provides valuable information for practical survival estimation and relevant prognostic factors for patients with UTUC after surgery.

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Comparison of 30 mg and 40 mg of Mitomycin C Intravesical Instillation in Korean Superficial Bladder Cancer Patients: Prospective, Randomized Study
Chang Wook Jeong, Hwang Gyun Jeon, Cheol Kwak, Hyeon Jeong, Sang Eun Lee
Cancer Res Treat. 2005;37(1):44-47.   Published online February 28, 2005
DOI: https://doi.org/10.4143/crt.2005.37.1.44
AbstractAbstract PDFPubReaderePub
Purpose

A prospective study was performed to compare the efficacy and safety of intravesical mitomycin C (MMC) instillation for the prophylaxis of bladder cancer at different concentrations (30 mg or 40 mg).

Materials and Methods

Ninety-seven patients that received complete transurethral resection for superficial bladder cancer were divided into two-randomized groups. One group (n=53) received 30 mg and the other group (n=44) received 40 mg dose of MMC weekly for 8 weeks, which was followed monthly for 10 months as maintenance therapy. The recurrence rates and side effects in both groups were recorded. The mean follow-up period was 32.4 months in the 30 mg group, and 32.0 months in the 40 mg group.

Results

The overall one and two year recurrence rates were 19% and 24% in the 30 mg group, and 12% and 22% in the 40 mg group, which was not significantly different (p>0.05). Most of the side effects were mild and transient. Moreover, the rates of the individual side effects were not statistically different in the two groups.

Conclusion

Our comparison of 30 mg and 40 mg intravesical MMC instillation showed no difference in either response or side effects. Thus, we tentatively conclude that we can use 30 mg instead of 40 mg as an intravesical MMC instillation dose.

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