Cancer Research and Treatment

Original Articles

Validation of 2023 FIGO Stage IA1–IIIC2 Endometrial Carcinoma: A Retrospective Analysis of Two Tertiary Centers in South Korea and Taiwan: Myeong-Seon Kim, Yen-Ling Lai, Yurimi Lee, Hyun-Soo Kim, Yu-Li Chen, Yoo-Young Lee; Received December 11, 2024 Accepted February 10, 2025 Published online February 17, 2025; DOI: https://doi.org/10.4143/crt.2024.1190 [Accepted]

Abstract PDF: Purpose
As understanding of the molecular pathogenesis of endometrial carcinoma (EC) advanced, the International Federation of Gynecology and Obstetrics (FIGO) staging system was revised in 2023. This study compared EC survival outcomes using the 2009 and 2023 FIGO staging systems.
Materials and Methods
We retrospectively analyzed 3,029 patients diagnosed with 2009 FIGO stage I–III EC between 1985 and 2022 in South Korea, and between 2020 and 2022 in Taiwan. All patients were reclassified using the 2023 FIGO staging, and survival and risk factors were examined under both systems.
Results
Transitioning from the 2009 to 2023 FIGO resulted in 549 (18.0%) patients being upstaged and their survival curves being diversified, indicating significant prognostic value of the 2023 FIGO. Re-classification using the 2023 FIGO upstaged the 2009 FIGO stage IA high-risk ECs, allowing more intensive treatment and potentially improving survival outcomes. The most significant changes occurred in the 2009 FIGO stages IA, IB, and IIIA ECs: upstaging in 16.5%, 49.0%, and 2.0% of IA, IB, and IIIA tumors, respectively, and downstaging 0.3% and 40.8% of IB and IIIA tumors, respectively. The risk factors for poor survival included old age (≥60), menopause, diabetes, substantial lymphovascular space invasion, aberrant p53 expression, and some aggressive histological types (carcinosarcoma, undifferentiated carcinoma, mesonephric-like adenocarcinoma, and neuroendocrine carcinoma).
Conclusion
The 2023 FIGO staging provides more refined stratification of early-stage EC than the 2009 version. Thus, the 2023 FIGO may more accurately guide prognosis and therapeutic decision-making.

744 View
86 Download

Gynecologic cancer

Effect of Waiting Time from Pathological Diagnosis to Definitive Concurrent Chemoradiation for Cervical Cancer on Overall Survival: Kyoung Won Noh, Bomi Kim, Chel Hun Choi, Tae-Joong Kim, Jeong-Won Lee, Byoung-Gie Kim, Duk-Soo Bae, Won Kyung Cho, Won Park, Yoo-Young Lee; Cancer Res Treat. 2022;54(1):245-252. Published online April 15, 2021; DOI: https://doi.org/10.4143/crt.2021.023

Abstract PDF Supplementary Material PubReader ePub

Purpose
This study aimed to evaluate the effect of waiting time, from diagnosis to initiation of definitive concurrent chemoradiation (CCRT), on overall survival in cervical cancer patients.
Materials and Methods
Patients with cervical cancer who were treated with definitive CCRT between 2000 and 2017 were retrospectively reviewed. Time from initial pathological diagnosis to definitive CCRT was analyzed both as a continuous variable (per day) and as a categorical variable in two groups (group 1 ≤ median, group 2 > median). Patients with a waiting time of more than 60 days were excluded.
Results
The median waiting time was 14 days (0-60). There were differences between group 1 and group 2 in age and chemotherapy regimens. However, no significant difference was found in the International Federation of Gynecology and Obstetrics stage, cell type, or the number of cycles of chemotherapy received during CCRT. A longer waiting time was associated with poorer overall survival on the Kaplan-Meier curve (group 1 vs. group 2, p=0.042). On multivariate analysis, intervals as either a continuous variable (hazard ratio [HR], 1.023; 95% confidence interval [CI], 1.006 to 1.040; p=0.007) or a categorical variable (HR, 1.513; 95% CI, 1.073 to 2.134; p=0.018), FIGO stage, cell type, and the number of cycles of chemotherapy received during CCRT were significant independent prognostic factors for overall survival.
Conclusion
A shorter waiting time from pathological diagnosis to definitive CCRT showed benefit on overall survival. Our findings suggest that an effort to minimize waiting times should be recommended in cervical cancer patients who are candidates for CCRT.

Citations

Citations to this article as recorded by

Effect of waiting time for radiotherapy after last induction chemotherapy on prognosis of locally advanced nasopharyngeal carcinoma
Kui‐Xuan Zhu, Ting Ding, Yi‐Min E, Hong‐Wei Yang, Rui‐Ping Wu, Run‐Jia Liu, Ling‐Li Zhou, Wen‐Jie Fu, Mei‐Ping Jiang, Xiao‐Li Wang
Head & Neck.2024; 46(5): 1189. CrossRef
An Innovative Thermal Imaging Prototype for Precise Breast Cancer Detection: Integrating Compression Techniques and Classification Methods
Khaled S. Ahmed, Fayroz F. Sherif, Mohamed S. Abdallah, Young-Im Cho, Shereen M. ElMetwally
Bioengineering.2024; 11(8): 764. CrossRef
Prognostic impact of waiting time between diagnosis and treatment in patients with cervical cancer: A nationwide population-based study
Amy P. Hack, Ronald P. Zweemer, Trudy N. Jonges, Femke van der Leij, Cornelis G. Gerestein, Max Peters, Ina M. Jürgenliemk-Schulz, Peter S.N. van Rossum
Gynecologic Oncology.2022; 165(2): 339. CrossRef
The Role of Conization before Radical Hysterectomy in Cervical Cancer including High Risk Factors of Recurrence: Propensity Score Matching
Chi-Son Chang, Ji Song Min, Ki Hyeon Song, Chel Hun Choi, Tae-Joong Kim, Jeong-Won Lee, Byoung-Gie Kim, Yoo-Young Lee
Cancers.2022; 14(16): 3863. CrossRef
Survival outcomes following treatment delays among patients with early-stage female cancers: a nationwide study
Yu Min, Zheran Liu, Rendong Huang, Ruidan Li, Jing Jin, Zhigong Wei, Ling He, Yiyan Pei, Ning Li, Yongllin Su, Xiaolin Hu, Xingchen Peng
Journal of Translational Medicine.2022;[Epub] CrossRef

7,374 View
198 Download
7 Web of Science
5 Crossref

Gynecologic Cancer

Early Metabolic Response Assessed Using ¹⁸F-FDG-PET/CT for Image-Guided Intracavitary Brachytherapy Can Better Predict Treatment Outcomes in Patients with Cervical Cancer: Nalee Kim, Won Park, Won Kyung Cho, Duk-Soo Bae, Byoung-Gie Kim, Jeong-Won Lee, Tae-Joong Kim, Chel Hun Choi, Yoo-Young Lee, Young Seok Cho; Cancer Res Treat. 2021;53(3):803-812. Published online December 9, 2020; DOI: https://doi.org/10.4143/crt.2020.1251

Abstract PDF Supplementary Material PubReader ePub

Purpose
This study aimed to identify the prognostic value of early metabolic response assessed using ¹⁸F-fluorodeoxyglucose positron emission tomography/computed tomography (FDG-PET/CT) during radiation therapy (RT) for cervical cancer.
Materials and Methods
We identified 116 patients treated with definitive RT, including FDG-PET/CT–guided intracavitary brachytherapy, between 2009 and 2018. We calculated parameters including maximum (SUV_max) and mean standardized uptake values (SUV_mean), metabolic tumor volume (MTV), and total lesion glycolysis (TLG) for baseline FDG-PET/CT (PET_base) and image-guided brachytherapy planning FDG-PET/CT (PET_IGBT). Multivariable analyses of disease-free survival (DFS) and overall survival (OS) were performed.
Results
We observed a time-dependent decrease in PET parameters between PET_base and PET_IGBT; ΔSUV_max, ΔSUV_mean, ΔMTV, and ΔTLG were 65%, 61%, 78%, and 93%, respectively. With a median follow-up of 59.5 months, the 5-year DFS and OS rates were 66% and 79%, respectively. Multivariable analysis demonstrated that ΔSUV_max ≥ 50% was associated with favorable DFS (hazard ratio [HR], 2.56; 95% confidence interval [CI], 1.14 to 5.77) and OS (HR, 5.14; 95% CI, 1.55 to 17.01). Patients with ΔSUV_max ≥ 50% (n=87) showed better DFS and OS than those with ΔSUV_max < 50% (n=29) (DFS, 76% vs. 35%, p < 0.001; OS, 90% vs. 41%, p < 0.001, respectively). Adenocarcinoma was frequently observed in ΔSUV_max < 50% compared to ΔSUV_max ≥ 50% (27.6% vs. 10.3%, p=0.003). In addition, models incorporating metabolic parameters showed improved accuracy for predicting DFS (p=0.012) and OS (p=0.004) than models with clinicopathologic factors.
Conclusion
Changes in metabolic parameters, especially those in SUV_max by > 50%, can help improve survival outcome predictions for patients with cervical cancer treated with definitive RT.

Citations

Citations to this article as recorded by

Personalized strategies for brachytherapy of cervix cancer
Guillaume Camprodon, Alexandra Gabro, Zineb El Ayachi, Supriya Chopra, Remi Nout, Philippe Maingon, Cyrus Chargari
Cancer/Radiothérapie.2024; 28(6-7): 610. CrossRef
Brachytherapy for cervical cancer: from intracavitary to interstitial technique
Xiaojing Yang, Hanru Ren, Zhen Li, Jie Fu
Frontiers in Oncology.2024;[Epub] CrossRef
Application of three-dimensional multi-imaging combination in brachytherapy of cervical cancer
Zhaoming Zhang, Ning Zhang, Guanghui Cheng
La radiologia medica.2023; 128(5): 588. CrossRef
MRI- and PET-Based Assessment of Radiological and Clinical Factors Associated With Cervical Cancer Response to External Beam Radiation Therapy
Arun G Paul, Steven Miller, Lance K Heilbrun, Daryn W Smith
Cureus.2022;[Epub] CrossRef

6,361 View
175 Download
5 Web of Science
4 Crossref

Impact of Angiotensin Receptor Blockers, Beta Blockers, Calcium Channel Blockers and Thiazide Diuretics on Survival of Ovarian Cancer Patients: Min Ae Cho, Soo Young Jeong, Insuk Sohn, Myeong-Seon Kim, Jun Hyeok Kang, E Sun Paik, Yoo-Young Lee, Chel Hun Choi; Cancer Res Treat. 2020;52(2):645-654. Published online January 16, 2020; DOI: https://doi.org/10.4143/crt.2019.509

Abstract PDF Supplementary Material PubReader ePub

Purpose
We investigated the impact of four types of antihypertensive medications, angiotensin receptor blockers (ARBs), beta blockers (BBs; both selective and non-selective), calcium channel blockers (CCBs), and thiazide diuretics (TDs) on survival outcomes in epithelial ovarian cancer (EOC).
Materials and Methods
A single-institutional retrospective chart review of 878 patients with EOC was performed. Survival was compared according to use of the four antihypertensive medications during primary treatment. Propensity score matching (ratio 1:3) was performed to control possible associated covariates, such as age, International Federation of Gynecology and Obstetrics stage, residual status after primary debulking surgery, and co-morbidity.
Results
Among 878 patients, 56 patients (6.4%) were ARB users, 62 (7.1%) were BB users, 107 (12.2%) were CCBs users and 32 (3.6%) used TDs. Median progression-free survival (PFS) for ARB, BB, and CCB users was 37.8, 27.2, and 23.6 months compared with 33.6 months for non-users. ARB was associated with 35% decreased risk of disease progression (hazard ratio [HR], 0.65; 95% confidence interval [CI], 0.42 to 0.99; p=0.046) in multivariate analysis. After propensity score matching, median PFS for ARB users was 37.8 months and ARB use remained to be associated with lower recurrence rate in univariate (p=0.035) and multivariate analysis (HR, 0.60; 95% CI, 0.39 to 0.93; p=0.022).
Conclusion
In this study, ARBs use during primary treatment is associated with lower recurrence in EOC patients. However, CCBs, BBs, and TDs did not show beneficial impact.

Citations

Citations to this article as recorded by

Prognostic impact of renin-angiotensin system inhibitors in patients with ovarian cancer: a meta-analysis of real-world evidence
Pian Wang, Xinmiao Zhang, Jinhai Shen
Expert Review of Anticancer Therapy.2025; 25(3): 241. CrossRef
Ramipril, perindopril and trandolapril as potential chemosensitizers in ovarian cancer: Considerations for drug repurposing
Katarzyna Regulska, Paulina Gieremek, Marcin Michalak, Tomasz Kolenda, Marlena Janiczek-Polewska, Joanna Kozłowska-Masłoń, Zefiryn Cybulski, Beata J. Stanisz
Drug Discovery Today.2025; 30(4): 104331. CrossRef
Evaluation of antihypertensive medications use and survival in patients with ovarian cancer: a population-based retrospective cohort study
Rūta Everatt, Irena Kuzmickienė, Birutė Brasiūnienė, Ieva Vincerževskienė, Birutė Intaitė, Saulius Cicėnas, Ingrida Lisauskienė
BMC Women's Health.2024;[Epub] CrossRef
Advanced progress of the relationship between renin–angiotensin–aldosterone system inhibitors and cancers
Ruixing Zhang, Hongtao Yin, Mengdi Yang, Jinjin Liu, Donghu Zhen, Zheng Zhang
Journal of Hypertension.2024; 42(11): 1862. CrossRef
Impact of ACEI/ARB use on the survival of hypertensive patients with cancer: A meta‑analysis
Yao Xiao, Xinlong Chen, Wancheng Li, Xin Li, Wence Zhou
Oncology Letters.2024;[Epub] CrossRef
Renin-Angiotensin-Aldosterone System Inhibitors and Development of Gynecologic Cancers: A 23 Million Individual Population-Based Study
Nhi Thi Hong Nguyen, Phung-Anh Nguyen, Chih-Wei Huang, Ching-Huan Wang, Ming-Chin Lin, Min-Huei Hsu, Hoang Bui Bao, Shuo-Chen Chien, Hsuan-Chia Yang
International Journal of Molecular Sciences.2023; 24(4): 3814. CrossRef
Association of Hypertension and Breast Cancer: Antihypertensive Drugs as an Effective Adjunctive in Breast Cancer Therapy
Yuanyuan Fan, Nazeer Hussain Khan, Muhammad Farhan Ali Khan, MD Faysal Ahammad, Tayyaba Zulfiqar, Razia Virk, Enshe Jiang
Cancer Management and Research.2022; Volume 14: 1323. CrossRef
The effect of angiotensin receptor blockers and angiotensin-converting enzyme inhibitors on progression of gastric cancer: systematic review and meta-analysis
Seyed Ali Mehrdad, Farshad Mirzavi, Seyed Mohammad Reza Seyedi, Ahmad Asoodeh
Anti-Cancer Drugs.2022; 33(10): 983. CrossRef
Repurposing approved drugs for cancer therapy
Catherine H Schein
British Medical Bulletin.2021; 137(1): 13. CrossRef
Norepinephrine inhibits migration and invasion of human glioblastoma cell cultures possibly via MMP-11 inhibition
Jing Zhong, Weiran Shan, Zhiyi Zuo
Brain Research.2021; 1756: 147280. CrossRef
Antihypertensive Drug Use and the Risk of Ovarian Cancer Death among Finnish Ovarian Cancer Patients—A Nationwide Cohort Study
Eerik E. E. Santala, Miia Artama, Eero Pukkala, Kala Visvanathan, Synnöve Staff, Teemu J. Murtola
Cancers.2021; 13(9): 2087. CrossRef
The Use of Antihypertensive Drugs as Coadjuvant Therapy in Cancer
José A. Carlos-Escalante, Marcela de Jesús-Sánchez, Alejandro Rivas-Castro, Pavel S. Pichardo-Rojas, Claudia Arce, Talia Wegman-Ostrosky
Frontiers in Oncology.2021;[Epub] CrossRef
Post-Diagnostic Beta Blocker Use and Prognosis of Ovarian Cancer: A Systematic Review and Meta-Analysis of 11 Cohort Studies With 20,274 Patients
Zhao-Yan Wen, Song Gao, Ting-Ting Gong, Yu-Ting Jiang, Jia-Yu Zhang, Yu-Hong Zhao, Qi-Jun Wu
Frontiers in Oncology.2021;[Epub] CrossRef
Stress Hormones: Emerging Targets in Gynecological Cancers
Guoqiang Chen, Lei Qiu, Jinghai Gao, Jing Wang, Jianhong Dang, Lingling Li, Zhijun Jin, Xiaojun Liu
Frontiers in Cell and Developmental Biology.2021;[Epub] CrossRef
The Effect of Local Renin Angiotensin System in the Common Types of Cancer
Moudhi Almutlaq, Abir Abdullah Alamro, Hassan S. Alamri, Amani Ahmed Alghamdi, Tlili Barhoumi
Frontiers in Endocrinology.2021;[Epub] CrossRef
Does sympathetic nervous system modulate tumor progression? A narrative review of the literature
Ioannis Stavropoulos, Angelos Sarantopoulos, Anastasios Liverezas
Journal of Drug Assessment.2020; 9(1): 106. CrossRef

14,528 View
163 Download
19 Web of Science
16 Crossref

Pretreatment Lymph Node Metastasis as a Prognostic Significance in Cervical Cancer: Comparison between Disease Status: Soo Young Jeong, Hyea Park, Myeong Seon Kim, Jun Hyeok Kang, E Sun Paik, Yoo-Young Lee, Tae Joong Kim, Jeong Won Lee, Byoung-Gie Kim, Duk Soo Bae, Chel Hun Choi; Cancer Res Treat. 2020;52(2):516-523. Published online October 29, 2019; DOI: https://doi.org/10.4143/crt.2019.328

Abstract PDF Supplementary Material PubReader ePub

Purpose
Lymph node metastasis (LNM) is the most significant prognostic factor in cervical cancer that was recently incorporated into the International Federation of Gynecology and Obstetrics (FIGO) staging system. This study was performed to evaluate whether the prognostic significance of LNM differs according to disease status.
Materials and Methods
Patients with FIGO stage IB or higher cervical cancer who had pretreatment computed tomography and/or magnetic resonance imaging studies as well as long-term follow-up were enrolled in this retrospective study. The hazard ratio (HR) of Cox regression was used to determine the prognostic significance of LNM. The HRs were compared between the different tumor groups (based on stage, histology, tumor size, primary treatment, age, parametrium involvement, and lymphovascular space invasion).
Results
A total of 970 patients treated between January 1999 and December 2007 were included. The pretreatment LNM had prognostic significance in patients with stage IB1/IIA (HR for progression-free survival 2.10, p=0.001; HR for overall survival 1.99, p=0.005). However, the significance gradually decreased or disappeared with advancing stages. Similarly, the prognostic significance of the pretreatment LNM decreased with advancing disease status, including old age, parametrial involvement or lymphovascular space involvement. In contrast, the tumor size was associated with the prognostic significance of LNM with advancing status. The significance of the clinical LNM did not reflect the significance of the clinical stage. In contrast, the tumor size, parametrial involvement, and significance of the pathologic LNM reflected the clinical stage.
Conclusion
In patients with cervical cancer, pretreatment LNM on imaging has different clinical significance depending on the tumor status.

Citations

Citations to this article as recorded by

Predicting the risk of lymph node metastasis in colon cancer: development and validation of an online dynamic nomogram based on multiple preoperative data
Longlian Deng, Lemuge Che, Haibin Sun, Riletu En, Bowen Ha, Tao Liu, Tengqi Wang, Qiang Xu
BMC Gastroenterology.2025;[Epub] CrossRef
Complete remission of a high-risk, locally advanced cervical cancer with para-aortic lymph node metastases treated with first-line tislelizumab plus bevacizumab combined with chemotherapy followed by radiotherapy with maintenance therapy: a case report
Juan Lang, Qianqian Liu, Rong Ji, Miao Qiu, Siben Wang, Qingmeng Liu, Dapeng Li, Ping Chen, Zhongkui Xiong
Frontiers in Immunology.2025;[Epub] CrossRef
Application of CT in predicting lymph node metastasis in cervical cancer and construction of a preoperative nomogram
Xiao Meng, Siyu Song, Ke Li, Yajie Duan, Jiayuan Zhong, Jiawei Wang, Shichao Han
Scientific Reports.2025;[Epub] CrossRef
Development of cervical intraepithelial neoplasia and invasive cervical cancer due to oxidative stress
Amir Asotić, Memić Asotić, Muhamed Memić, Kerim Asotić, Amra Asotić
Sanamed.2024; 19(1): 39. CrossRef
Investigating and Analyzing Prognostic Factors and Their Impact on Recurrent Cervical Cancers
Ashish Uke, Shweta B Dahake, Anurag Luharia, Monika Luharia, Gaurav V Mishra, Chanrashekhar Mahakalkar
Cureus.2024;[Epub] CrossRef
Based on 3D-PDU and clinical characteristics nomogram for prediction of lymph node metastasis and lymph-vascular space invasion of early cervical cancer preoperatively
Shuang Dong, Yan-Qing Peng, Ya-Nan Feng, Xiao-Ying Li, Li-Ping Gong, Shuang Zhang, Xiao-Shan Du, Li-Tao Sun
BMC Women's Health.2024;[Epub] CrossRef
Recent Advances in Cervical Cancer Management: A Review on Novel Prognostic Factors in Primary and Recurrent Tumors
Angela Santoro, Frediano Inzani, Giuseppe Angelico, Damiano Arciuolo, Emma Bragantini, Antonio Travaglino, Michele Valente, Nicoletta D’Alessandris, Giulia Scaglione, Stefania Sfregola, Alessia Piermattei, Federica Cianfrini, Paola Roberti, Gian Franco Za
Cancers.2023; 15(4): 1137. CrossRef
Identification of lymph node metastasis in pre‐operation cervical cancer patients by weakly supervised deep learning from histopathological whole‐slide biopsy images
Qingqing Liu, Nan Jiang, Yiping Hao, Chunyan Hao, Wei Wang, Tingting Bian, Xiaohong Wang, Hua Li, Yan zhang, Yanjun Kang, Fengxiang Xie, Yawen Li, XuJi Jiang, Yuan Feng, Zhonghao Mao, Qi Wang, Qun Gao, Wenjing Zhang, Baoxia Cui, Taotao Dong
Cancer Medicine.2023; 12(17): 17952. CrossRef
Roles of DWI and T2-weighted MRI volumetry in the evaluation of lymph node metastasis and lymphovascular invasion of stage IB–IIA cervical cancer
Y. Wang, X. Chen, H. Pu, Y. Yuan, S. Li, G. Chen, Y. Liu, H. Li
Clinical Radiology.2022; 77(3): 224. CrossRef
Risk Factor Assessment of Lymph Node Metastasis in Patients With FIGO Stage IB1 Cervical Cancer
Mu Xu, Xiaoyan Xie, Liangzhi Cai, Yongjin Xie, Qiao Gao, Pengming Sun
Frontiers in Oncology.2022;[Epub] CrossRef
Intravoxel Incoherent Motion (IVIM) MR Quantification in Locally Advanced Cervical Cancer (LACC): Preliminary Study on Assessment of Tumor Aggressiveness and Response to Neoadjuvant Chemotherapy
Miriam Dolciami, Silvia Capuani, Veronica Celli, Alessandra Maiuro, Angelina Pernazza, Innocenza Palaia, Violante Di Donato, Giusi Santangelo, Stefania Maria Rita Rizzo, Paolo Ricci, Carlo Della Rocca, Carlo Catalano, Lucia Manganaro
Journal of Personalized Medicine.2022; 12(4): 638. CrossRef
The prognostic significance of pretreatment squamous cell carcinoma antigen levels in cervical cancer patients treated by concurrent chemoradiation therapy and a comparison of dosimetric outcomes and clinical toxicities between tomotherapy and volumetric
Yuan-Kai Cheng, Shih-Hsun Kuo, Heng-Hsuan Yen, Jing-Hu Wu, Yu-Chieh Chen, Ming-Yii Huang
Radiation Oncology.2022;[Epub] CrossRef
What MRI-based tumor size measurement is best for predicting long-term survival in uterine cervical cancer?
Njål Lura, Kari S. Wagner-Larsen, David Forsse, Jone Trovik, Mari K. Halle, Bjørn I. Bertelsen, Øyvind Salvesen, Kathrine Woie, Camilla Krakstad, Ingfrid S. Haldorsen
Insights into Imaging.2022;[Epub] CrossRef
Clinical value of MRI, serum SCCA, and CA125 levels in the diagnosis of lymph node metastasis and para-uterine infiltration in cervical cancer
Chao Ran, Jian Sun, Yunhui Qu, Na Long
World Journal of Surgical Oncology.2021;[Epub] CrossRef
A Novel Four-Gene Prognostic Signature as a Risk Biomarker in Cervical Cancer
Jun Wang, Hua Zheng, Yatian Han, Geng Wang, Yanbin Li, Cuida Meng
International Journal of Genomics.2020; 2020: 1. CrossRef

10,856 View
226 Download
16 Web of Science
15 Crossref

Patient-Derived Xenograft Models of Epithelial Ovarian Cancer for Preclinical Studies: Eun Jin Heo, Young Jae Cho, William Chi Cho, Ji Eun Hong, Hye-Kyung Jeon, Doo-Yi Oh, Yoon-La Choi, Sang Yong Song, Jung-Joo Choi, Duk-Soo Bae, Yoo-Young Lee, Chel Hun Choi, Tae-Joong Kim, Woong-Yang Park, Byoung-Gie Kim, Jeong-Won Lee; Cancer Res Treat. 2017;49(4):915-926. Published online January 4, 2017; DOI: https://doi.org/10.4143/crt.2016.322

Abstract PDF Supplementary Material PubReader ePub

Purpose
Patient-derived tumor xenografts (PDXs) can provide more reliable information about tumor biology than cell line models. We developed PDXs for epithelial ovarian cancer (EOC) that have histopathologic and genetic similarities to the primary patient tissues and evaluated their potential for use as a platform for translational EOC research.
Materials and Methods
We successfully established PDXs by subrenal capsule implantation of primary EOC tissues into female BALB/C-nude mice. The rate of successful PDX engraftment was 48.8% (22/45 cases). Hematoxylin and eosin staining and short tandem repeat analysis showed histopathological and genetic similarity between the PDX and primary patient tissues.
Results
Patients whose tumors were successfully engrafted in mice had significantly inferior overall survival when compared with those whose tumors failed to engraft (p=0.040). In preclinical tests of this model, we found that paclitaxel-carboplatin combination chemotherapy significantly deceased tumor weight in PDXs compared with the control treatment (p=0.013). Moreover, erlotinib treatment significantly decreased tumor weight in epidermal growth factor receptor–overexpressing PDX with clear cell histology (p=0.023).
Conclusion
PDXs for EOC with histopathological and genetic stability can be efficiently developed by subrenal capsule implantation and have the potential to provide a promising platform for future translational research and precision medicine for EOC.

Citations

Citations to this article as recorded by

Patient-derived xenograft models: Current status, challenges, and innovations in cancer research
Minqi Liu, Xiaoping Yang
Genes & Diseases.2025; 12(5): 101520. CrossRef
Establishment and characterization of ovarian clear cell carcinoma patient-derived xenografts
Joseph J. Caumanns, Shang Li, Gert J. Meersma, Evelien W. Duiker, Ate G. J. van der Zee, G. Bea A. Wisman, Steven de Jong
Scientific Reports.2025;[Epub] CrossRef
The anti-tumor effects of AZD4547 on ovarian cancer cells: differential responses based on c-Met and FGF19/FGFR4 expression
Yoo-Young Lee, Ji-Yoon Ryu, Young-Jae Cho, Ju-Yeon Choi, Jung-Joo Choi, Chel Hun Choi, Jason K. Sa, Jae Ryoung Hwang, Jeong-Won Lee
Cancer Cell International.2024;[Epub] CrossRef
Creation and Validation of Patient-Derived Cancer Model Using Peritoneal and Pleural Effusion in Patients with Advanced Ovarian Cancer: An Early Experience
Ruri Nishie, Tomohito Tanaka, Kensuke Hirosuna, Shunsuke Miyamoto, Hikaru Murakami, Hiromitsu Tsuchihashi, Akihiko Toji, Shoko Ueda, Natsuko Morita, Sousuke Hashida, Atsushi Daimon, Shinichi Terada, Hiroshi Maruoka, Hiromi Konishi, Yuhei Kogata, Kohei Tan
Journal of Clinical Medicine.2024; 13(9): 2718. CrossRef
Anti-cancer effects of benzimidazole derivative BNZ-111 on paclitaxel-resistant ovarian cancer
Byumseok Koh, Ji-Yoon Ryu, Joseph J. Noh, Jae Ryoung Hwang, Jung-Joo Choi, Young-Jae Cho, Jiyoon Jang, Jeong Hyeon Jo, Kwangho Lee, Jeong-Won Lee
Gynecologic Oncology.2024; 188: 60. CrossRef
Recent advances in lung cancer organoid (tumoroid) research (Review)
Qiang Zhang, Mingyang Zhang
Experimental and Therapeutic Medicine.2024;[Epub] CrossRef
Patient‐derived xenograft model in colorectal cancer basic and translational research
Xiaofeng Liu, Zechang Xin, Kun Wang
Animal Models and Experimental Medicine.2023; 6(1): 26. CrossRef
Repurposing of triamterene as a histone deacetylase inhibitor to overcome cisplatin resistance in lung cancer treatment
Kenneth K. W. To, Ka M. Cheung, William C. S. Cho
Journal of Cancer Research and Clinical Oncology.2023; 149(10): 7217. CrossRef
Anti-cancer effect of fenbendazole-incorporated PLGA nanoparticles in ovarian cancer
Chi-Son Chang, Ji-Yoon Ryu, June-Kuk Choi, Young-Jae Cho, Jung-Joo Choi, Jae Ryoung Hwang, Ju-Yeon Choi, Joseph J. Noh, Chan Mi Lee, Ji Eun Won, Hee Dong Han, Jeong-Won Lee
Journal of Gynecologic Oncology.2023;[Epub] CrossRef
Molecular Biology of Pediatric and Adult Ovarian Germ Cell Tumors: A Review
Mariana Tomazini Pinto, Gisele Eiras Martins, Ana Glenda Santarosa Vieira, Janaina Mello Soares Galvão, Cristiano de Pádua Souza, Carla Renata Pacheco Donato Macedo, Luiz Fernando Lopes
Cancers.2023; 15(11): 2990. CrossRef
Generation, evolution, interfering factors, applications, and challenges of patient-derived xenograft models in immunodeficient mice
Mingtang Zeng, Zijing Ruan, Jiaxi Tang, Maozhu Liu, Chengji Hu, Ping Fan, Xinhua Dai
Cancer Cell International.2023;[Epub] CrossRef
Research Progress of PD-1/PD-L1 Inhibitors in Immunotherapy of Prostate Cancer
佳慧吴
Advances in Clinical Medicine.2023; 13(06): 10496. CrossRef
Ulipristal acetate, a selective progesterone receptor modulator, induces cell death via inhibition of STAT3/CCL2 signaling pathway in uterine sarcoma
Jae Ryoung Hwang, Young-Jae Cho, Ji-Yoon Ryu, Ju-Yeon Choi, Jung-Joo Choi, Jason K. Sa, Hyun-Soo Kim, Jeong-Won Lee
Biomedicine & Pharmacotherapy.2023; 168: 115792. CrossRef
Establishment and characterization of a non-gestational choriocarcinoma patient-derived xenograft model
Yukari Oda, Kaoru Niimi, Kosuke Yoshida, Satoshi Tamauchi, Akira Yokoi, Yuko Yasui, Yuki Nishiko, Mayu Shibata, Yusuke Shimizu, Masato Yoshihara, Yoshiki Ikeda, Nobuhisa Yoshikawa, Kimihiro Nishino, Eiko Yamamoto, Hiroaki Kajiyama
BMC Cancer.2023;[Epub] CrossRef
Identification of Prognostic Markers of Gynecologic Cancers Utilizing Patient-Derived Xenograft Mouse Models
Ha-Yeon Shin, Eun-ju Lee, Wookyeom Yang, Hyo Sun Kim, Dawn Chung, Hanbyoul Cho, Jae-Hoon Kim
Cancers.2022; 14(3): 829. CrossRef
Three-Dimensional Modelling of Ovarian Cancer: From Cell Lines to Organoids for Discovery and Personalized Medicine
Christine Yee, Kristie-Ann Dickson, Mohammed N. Muntasir, Yue Ma, Deborah J. Marsh
Frontiers in Bioengineering and Biotechnology.2022;[Epub] CrossRef
Combination effect of poly (ADP-ribose) polymerase inhibitor and DNA demethylating agents for treatment of epithelial ovarian cancer
Jung-In Shim, Ji-Yoon Ryu, Soo Young Jeong, Young-Jae Cho, Jung-Joo Choi, Jae Ryoung Hwang, Ju-Yeon Choi, Jason K. Sa, Jeong-Won Lee
Gynecologic Oncology.2022; 165(2): 270. CrossRef
Endometrial Cancer Patient-Derived Xenograft Models: A Systematic Review
Tomohito Tanaka, Ruri Nishie, Shoko Ueda, Shunsuke Miyamoto, Sousuke Hashida, Hiromi Konishi, Shinichi Terada, Yuhei Kogata, Hiroshi Sasaki, Satoshi Tsunetoh, Kohei Taniguchi, Kazumasa Komura, Masahide Ohmichi
Journal of Clinical Medicine.2022; 11(9): 2606. CrossRef
Preclinical models of epithelial ovarian cancer: practical considerations and challenges for a meaningful application
Alessandra Ciucci, Marianna Buttarelli, Anna Fagotti, Giovanni Scambia, Daniela Gallo
Cellular and Molecular Life Sciences.2022;[Epub] CrossRef
Anticancer Activity of the Combination of Cabozantinib and Temozolomide in Uterine Sarcoma
Joseph J. Noh, Young-Jae Cho, Ji-Yoon Ryu, Jung-Joo Choi, Jae Ryoung Hwang, Ju-Yeon Choi, Jeong-Won Lee
Clinical Cancer Research.2022; 28(17): 3850. CrossRef
Harnessing preclinical models for the interrogation of ovarian cancer
Tianyu Qin, Junpeng Fan, Funian Lu, Li Zhang, Chen Liu, Qiyue Xiong, Yang Zhao, Gang Chen, Chaoyang Sun
Journal of Experimental & Clinical Cancer Research.2022;[Epub] CrossRef
The Development of a Three-Dimensional Platform for Patient-Derived Ovarian Cancer Tissue Models: A Systematic Literature Review
Lusine Sevinyan, Priyanka Gupta, Eirini Velliou, Thumuluru Kavitha Madhuri
Cancers.2022; 14(22): 5628. CrossRef
A Novel, Personalized Drug-Screening System for Platinum-Resistant Ovarian Cancer Patients: A Preliminary Clinical Report
Yunke Huang, Jing Xu, Ke Li, Jing Wang, Yilin Dai, Yu Kang
Cancer Management and Research.2021; Volume 13: 2849. CrossRef
Establishment and preclinical application of a patient-derived xenograft model for uterine cancer
Soo Young Jeong, Young-Jae Cho, Ji-Yoon Ryu, Jung-Joo Choi, Jae-Ryoung Hwang, Binnari Kim, Yoo-Young Lee, Hyun-Soo Kim, Jeong-Won Lee
Gynecologic Oncology.2021; 162(1): 173. CrossRef
Changes in Stem Cell Regulation and Epithelial Organisation during Carcinogenesis and Disease Progression in Gynaecological Malignancies
Paula Cunnea, Christina Fotopoulou, Jennifer Ploski, Fabian Trillsch, Sven Mahner, Mirjana Kessler
Cancers.2021; 13(13): 3349. CrossRef
Patient-Derived Xenograft Models in Cervical Cancer: A Systematic Review
Tomohito Tanaka, Ruri Nishie, Shoko Ueda, Shunsuke Miyamoto, Sousuke Hashida, Hiromi Konishi, Shinichi Terada, Yuhei Kogata, Hiroshi Sasaki, Satoshi Tsunetoh, Kohei Taniguchi, Kazumasa Komura, Masahide Ohmichi
International Journal of Molecular Sciences.2021; 22(17): 9369. CrossRef
Methodological aspects of creation of patient-derived tumor xenografts
A S Goncharova, A N Shevchenko, I R Dashkova, A E Anisimov
Kazan medical journal.2021; 102(5): 694. CrossRef
The safe and effective intraperitoneal chemotherapy with cathepsin B-specific doxorubicin prodrug nanoparticles in ovarian cancer with peritoneal carcinomatosis
Jinseong Kim, Man Kyu Shim, Young-Jae Cho, Sangmin Jeon, Yujeong Moon, Jiwoong Choi, Jeongrae Kim, Jaewan Lee, Jeong-Won Lee, Kwangmeyung Kim
Biomaterials.2021; 279: 121189. CrossRef
Modeling the Tumor Microenvironment of Ovarian Cancer: The Application of Self-Assembling Biomaterials
Ana Karen Mendoza-Martinez, Daniela Loessner, Alvaro Mata, Helena S. Azevedo
Cancers.2021; 13(22): 5745. CrossRef
Patient-Derived Xenografts of High-Grade Serous Ovarian Cancer Subtype as a Powerful Tool in Pre-Clinical Research
Magdalena Cybula, Lin Wang, Luyao Wang, Ana Luiza Drumond-Bock, Katherine M. Moxley, Doris M. Benbrook, Camille Gunderson-Jackson, Maria J. Ruiz-Echevarria, Resham Bhattacharya, Priyabrata Mukherjee, Magdalena Bieniasz
Cancers.2021; 13(24): 6288. CrossRef
Cytoplasmic expression of EGFR shRNA using a modified T7 autogene-based hybrid mRNA/DNA system induces long-term EGFR silencing and prolongs antitumor effects
Sharmin Seraj, Young Jae Cho, Jeong-Won Lee, Hyung Jun Ahn
Biochemical Pharmacology.2020; 171: 113735. CrossRef
The fidelity of cancer cells in PDX models: Characteristics, mechanism and clinical significance
Jiahao Shi, Yongyun Li, Renbing Jia, Xianqun Fan
International Journal of Cancer.2020; 146(8): 2078. CrossRef
KSP siRNA/paclitaxel-loaded PEGylated cationic liposomes for overcoming resistance to KSP inhibitors: Synergistic antitumor effects in drug-resistant ovarian cancer
Jinju Lee, Young Jae Cho, Jeong-Won Lee, Hyung Jun Ahn
Journal of Controlled Release.2020; 321: 184. CrossRef
A patient‐derived xenograft and a cell line derived from it form a useful preclinical model for small bowel adenocarcinoma
Tomoki Yamano, Shuji Kubo, Naohiro Tomita
Cancer Medicine.2020; 9(10): 3337. CrossRef
Preclinical assessment of the VEGFR inhibitor axitinib as a therapeutic agent for epithelial ovarian cancer
E Sun Paik, Tae-Hyun Kim, Young Jae Cho, Jiyoon Ryu, Jung-Joo Choi, Yoo-Young Lee, Tae-Joong Kim, Chel-Hun Choi, Woo Young Kim, Jason K. Sa, Jin-Ku Lee, Byoung-Gie Kim, Duk-Soo Bae, Hee Dong Han, Hyung Jun Ahn, Jeong-Won Lee
Scientific Reports.2020;[Epub] CrossRef
A Biobank of Colorectal Cancer Patient-Derived Xenografts
Suad M. Abdirahman, Michael Christie, Adele Preaudet, Marie C. U. Burstroem, Dmitri Mouradov, Belinda Lee, Oliver M. Sieber, Tracy L. Putoczki
Cancers.2020; 12(9): 2340. CrossRef
Epithelial/mesenchymal heterogeneity of high‐grade serous ovarian carcinoma samples correlates with miRNA let‐7 levels and predicts tumor growth and metastasis
Evgeny Chirshev, Nozomi Hojo, Antonella Bertucci, Linda Sanderman, Anthony Nguyen, Hanmin Wang, Tise Suzuki, Emmanuel Brito, Shannalee R. Martinez, Christine Castañón, Saied Mirshahidi, Marcelo E. Vazquez, Pamela Wat, Kerby C. Oberg, Yevgeniya J. Ioffe, J
Molecular Oncology.2020; 14(11): 2796. CrossRef
Human-Derived Model Systems in Gynecological Cancer Research
Kadi Lõhmussaar, Matteo Boretto, Hans Clevers
Trends in Cancer.2020; 6(12): 1031. CrossRef
Spontaneous and Induced Animal Models for Cancer Research
Anca Onaciu, Raluca Munteanu, Vlad Cristian Munteanu, Diana Gulei, Lajos Raduly, Richard-Ionut Feder, Radu Pirlog, Atanas G. Atanasov, Schuyler S. Korban, Alexandru Irimie, Ioana Berindan-Neagoe
Diagnostics.2020; 10(9): 660. CrossRef
Anti-Cancer Activity of As4O6 and its Efficacy in a Series of Patient-Derived Xenografts for Human Cervical Cancer
Joseph J. Noh, Myeong-Seon Kim, Young-Jae Cho, Soo-Young Jeong, Yoo-Young Lee, Ji-Yoon Ryu, Jung-Joo Choi, Illju Bae, Zhaoyan Wu, Byoung-Gie Kim, Jae Ryoung Hwang, Jeong-Won Lee
Pharmaceutics.2020; 12(10): 987. CrossRef
Patient-derived ovarian cancer explants: preserved viability and histopathological features in long-term agitation-based cultures
Sofia Abreu, Fernanda Silva, Rita Mendes, Teresa F. Mendes, Marta Teixeira, Vítor E. Santo, Erwin R. Boghaert, Ana Félix, Catarina Brito
Scientific Reports.2020;[Epub] CrossRef
Chloroquine reverses chemoresistance via upregulation of p21WAF1/CIP1 and autophagy inhibition in ovarian cancer
Jae Ryoung Hwang, Woo Young Kim, Young-Jae Cho, Ji-Yoon Ryu, Jung-Joo Choi, Soo Young Jeong, Myeong-Sun Kim, Ji Hye Kim, E. Sun Paik, Yoo-Young Lee, Hee-Dong Han, Jeong-Won Lee
Cell Death & Disease.2020;[Epub] CrossRef
Establishment of a Novel PDX Mouse Model and Evaluation of the Tumor Suppression Efficacy of Bortezomib Against Liposarcoma
Eun Byeol Jo, Doopyo Hong, Young Sang Lee, Hyunjoo Lee, Jae Berm Park, Sung Joo Kim
Translational Oncology.2019; 12(2): 269. CrossRef
Platinum Resistance in Ovarian Cancer: Role of DNA Repair
Giovanna Damia, Massimo Broggini
Cancers.2019; 11(1): 119. CrossRef
Establishment of patient‐derived xenograft model in ovarian cancer and its influence factors analysis
Jianfa Wu, Yunxi Zheng, Qi Tian, Ming Yao, Xiaofang Yi
Journal of Obstetrics and Gynaecology Research.2019; 45(10): 2062. CrossRef
Application of Highly Immunocompromised Mice for the Establishment of Patient-Derived Xenograft (PDX) Models
Seiji Okada, Kulthida Vaeteewoottacharn, Ryusho Kariya
Cells.2019; 8(8): 889. CrossRef
Current and Future Horizons of Patient-Derived Xenograft Models in Colorectal Cancer Translational Research
Akira Inoue, Angela K. Deem, Scott Kopetz, Timothy P. Heffernan, Giulio F. Draetta, Alessandro Carugo
Cancers.2019; 11(9): 1321. CrossRef
Pharmacogenomic analysis of patient-derived tumor cells in gynecologic cancers
Jason K. Sa, Jae Ryoung Hwang, Young-Jae Cho, Ji-Yoon Ryu, Jung-Joo Choi, Soo Young Jeong, Jihye Kim, Myeong Seon Kim, E. Sun Paik, Yoo-Young Lee, Chel Hun Choi, Tae-Joong Kim, Byoung-Gie Kim, Duk-Soo Bae, Yeri Lee, Nam-Gu Her, Yong Jae Shin, Hee Jin Cho,
Genome Biology.2019;[Epub] CrossRef
The latest animal models of ovarian cancer for novel drug discovery
Elizabeth Magnotti, Wayne A. Marasco
Expert Opinion on Drug Discovery.2018; 13(3): 249. CrossRef
Ovarian Cancers: Genetic Abnormalities, Tumor Heterogeneity and Progression, Clonal Evolution and Cancer Stem Cells
Ugo Testa, Eleonora Petrucci, Luca Pasquini, Germana Castelli, Elvira Pelosi
Medicines.2018; 5(1): 16. CrossRef
NIRF Optical/PET Dual-Modal Imaging of Hepatocellular Carcinoma Using Heptamethine Carbocyanine Dye
Caiqin Zhang, Yong Zhao, Ningning Zhao, Dengxu Tan, He Zhang, Xue Chen, Hai Zhang, Jiaze An, Changhong Shi, Mengbin Li
Contrast Media & Molecular Imaging.2018; 2018: 1. CrossRef
Comparison of Clinical Features and Outcomes in Epithelial Ovarian Cancer according to Tumorigenicity in Patient-Derived Xenograft Models
Kyung Jin Eoh, Young Shin Chung, So Hyun Lee, Sun-Ae Park, Hee Jung Kim, Wookyeom Yang, In Ok Lee, Jung-Yun Lee, Hanbyoul Cho, Doo Byung Chay, Sunghoon Kim, Sang Wun Kim, Jae-Hoon Kim, Young Tae Kim, Eun Ji Nam
Cancer Research and Treatment.2018; 50(3): 956. CrossRef
CD44-Targeting PLGA Nanoparticles Incorporating Paclitaxel and FAK siRNA Overcome Chemoresistance in Epithelial Ovarian Cancer
Yeongseon Byeon, Jeong-Won Lee, Whan Soo Choi, Ji Eun Won, Ga Hee Kim, Min Gi Kim, Tae In Wi, Jae Myeong Lee, Tae Heung Kang, In Duk Jung, Young-Jae Cho, Hyung Jun Ahn, Byung Cheol Shin, Young Joo Lee, Anil K. Sood, Hee Dong Han, Yeong-Min Park
Cancer Research.2018; 78(21): 6247. CrossRef

21,801 View
739 Download
57 Web of Science
53 Crossref

Nomograms Predicting Platinum Sensitivity, Progression-Free Survival, and Overall Survival Using Pretreatment Complete Blood Cell Counts in Epithelial Ovarian Cancer: E Sun Paik, Insuk Sohn, Sun-Young Baek, Minhee Shim, Hyun Jin Choi, Tae-Joong Kim, Chel Hun Choi, Jeong-Won Lee, Byoung-Gie Kim, Yoo-Young Lee, Duk-Soo Bae; Cancer Res Treat. 2017;49(3):635-642. Published online September 27, 2016; DOI: https://doi.org/10.4143/crt.2016.282

Abstract PDF Supplementary Material PubReader ePub

Purpose
This study was conducted to evaluate the prognostic significance of pre-treatment complete blood cell count (CBC), including white blood cell (WBC) differential, in epithelial ovarian cancer (EOC) patients with primary debulking surgery (PDS) and to develop nomograms for platinum sensitivity, progression-free survival (PFS), and overall survival (OS).
Materials and Methods
We retrospectively reviewed the records of 757 patients with EOC whose primary treatment consisted of surgical debulking and chemotherapy at Samsung Medical Center from 2002 to 2012. We subsequently created nomograms for platinum sensitivity, 3-year PFS, and 5-year OS as prediction models for prognostic variables including age, stage, grade, cancer antigen 125 level, residual disease after PDS, and pre-treatment WBC differential counts. The models were then validated by 10-fold cross-validation (CV).
Results
In addition to stage and residual disease after PDS, which are known predictors, lymphocyte and monocyte count were found to be significant prognostic factors for platinum-sensitivity, platelet count for PFS, and neutrophil count for OS on multivariate analysis. The area under the curves of platinum sensitivity, 3-year PFS, and 5-year OS calculated by the 10-fold CV procedure were 0.7405, 0.8159, and 0.815, respectively.
Conclusion
Prognostic factors including pre-treatment CBC were used to develop nomograms for platinum sensitivity, 3-year PFS, and 5-year OS of patients with EOC. These nomograms can be used to better estimate individual outcomes.

Citations

Citations to this article as recorded by

The Gustave Roussy immune score as a novel scoring system for predicting platinum resistance in advanced high-grade serous ovarian cancer
Xianglin Nie, Ting Xu, Lin Zhang, Wenjun Cheng
European Journal of Obstetrics & Gynecology and Reproductive Biology.2024; 294: 97. CrossRef
Predictive Value of Machine Learning for Platinum Chemotherapy Responses in Ovarian Cancer: Systematic Review and Meta-Analysis
Qingyi Wang, Zhuo Chang, Xiaofang Liu, Yunrui Wang, Chuwen Feng, Yunlu Ping, Xiaoling Feng
Journal of Medical Internet Research.2024; 26: e48527. CrossRef
Candidate prognostic biomarkers and prediction models for high-grade serous ovarian cancer from urinary proteomics
Maowei Ni, Danying Wan, Junzhou Wu, Wangang Gong, Junjian Wang, Zhiguo Zheng
Journal of Proteomics.2024; 304: 105234. CrossRef
Preoperative Immune Cell Dysregulation Accompanies Ovarian Cancer Patients into the Postoperative Period
Jonas Ulevicius, Aldona Jasukaitiene, Arenida Bartkeviciene, Zilvinas Dambrauskas, Antanas Gulbinas, Daiva Urboniene, Saulius Paskauskas
International Journal of Molecular Sciences.2024; 25(13): 7087. CrossRef
A nomogram with Ki-67 in the prediction of postoperative recurrence and death for glioma
Fengfeng Li, Dongyuan Wang, Nana Wang, Linlin Wu, Bo Yu
Scientific Reports.2024;[Epub] CrossRef
Machine learning for epithelial ovarian cancer platinum resistance recurrence identification using routine clinical data
Li-Rong Yang, Mei Yang, Liu-Lin Chen, Yong-Lin Shen, Yuan He, Zong-Ting Meng, Wan-Qi Wang, Feng Li, Zhi-Jin Liu, Lin-Hui Li, Yu-Feng Wang, Xin-Lei Luo
Frontiers in Oncology.2024;[Epub] CrossRef
Comparison of older and younger patients with ovarian cancer: A post hoc study (JGOG3016‐A3) of the treatment strength and prognostic outcomes of conventional or dose‐dense chemotherapy
Yoshio Itani, Hitomi Sakai, Tetsutaro Hamano, Mikiko Asai‐Sato, Masayuki Futagami, Masaki Fujimura, Yoichi Aoki, Nao Suzuki, Yoshio Yoshida, Takayuki Enomoto
Journal of Obstetrics and Gynaecology Research.2023; 49(5): 1400. CrossRef
Toward More Comprehensive Homologous Recombination Deficiency Assays in Ovarian Cancer Part 2: Medical Perspectives
Stanislas Quesada, Michel Fabbro, Jérôme Solassol
Cancers.2022; 14(4): 1098. CrossRef
Development of Machine Learning Models to Predict Platinum Sensitivity of High-Grade Serous Ovarian Carcinoma
Suhyun Hwangbo, Se Ik Kim, Ju-Hyun Kim, Kyung Jin Eoh, Chanhee Lee, Young Tae Kim, Dae-Shik Suh, Taesung Park, Yong Sang Song
Cancers.2021; 13(8): 1875. CrossRef
Beyond BRCA Status: Clinical Biomarkers May Predict Therapeutic Effects of Olaparib in Platinum-Sensitive Ovarian Cancer Recurrence
Kazuho Nakanishi, Takashi Yamada, Gen Ishikawa, Shunji Suzuki
Frontiers in Oncology.2021;[Epub] CrossRef
Inflammatory indexes as predictive factors for platinum sensitivity and as prognostic factors in recurrent epithelial ovarian cancer patients: a MITO24 retrospective study
Alberto Farolfi, Emanuela Scarpi, Filippo Greco, Alice Bergamini, Lucia Longo, Sandro Pignata, Claudia Casanova, Gennaro Cormio, Alessandra Bologna, Michele Orditura, Laura Zavallone, Laura Attademo, Valentina Gallà, Elisena Franzese, Eva Pigozzi, Vera Lo
Scientific Reports.2020;[Epub] CrossRef
Pertinence des marqueurs tumoraux, scores (cliniques et biologiques) et algorithmes à visée diagnostique et pronostique devant une masse ovarienne suspecte d’un cancer épithélial. Article rédigé sur la base de la recommandation nationale de bonnes pratiqu
S. Bendifallah, G. Body, E. Daraï, L. Ouldamer
Gynécologie Obstétrique Fertilité & Sénologie .2019; 47(2): 134. CrossRef
Development of Web-Based Nomograms to Predict Treatment Response and Prognosis of Epithelial Ovarian Cancer
Se Ik Kim, Minsun Song, Suhyun Hwangbo, Sungyoung Lee, Untack Cho, Ju-Hyun Kim, Maria Lee, Hee Seung Kim, Hyun Hoon Chung, Dae-Shik Suh, Taesung Park, Yong-Sang Song
Cancer Research and Treatment.2019; 51(3): 1144. CrossRef

11,891 View
283 Download
14 Web of Science
13 Crossref

Case Report

Metastatic Skin Lesions on Lower Extremities in a Patient with Recurrent Serous Papillary Ovarian Carcinoma: A Case Report and Literature Review: Moon-Kyung Kim, Seo-Hee Kim, Yoo-Young Lee, Chel Hun Choi, Tae-Joong Kim, Jeoung-Won Lee, Je-Ho Lee, Duk-Soo Bae, Byoung-Gie Kim; Cancer Res Treat. 2012;44(2):142-145. Published online June 30, 2012; DOI: https://doi.org/10.4143/crt.2012.44.2.142

Abstract PDF PubReader ePub

Clinical observation of skin metastasis in ovarian cancer cases is relatively uncommon. And distant metastatic skin lesions including the extremities are much rarer still as most metastatic skin lesions are located in the skin in the abdominal wall adjacent to where the primary ovarian tumors exist. We report the case of a 60-year-old woman who presented skin lesions on both lower extremities as a consequence of the metastasis of serous papillary adenocarcinoma of the ovary. She presented with erythematous and painful cutaneous nodules on both upper legs and in the inguinal area 42 months after initial diagnosis of ovarian cancer. Skin biopsy revealed metastasis of adenocarcinoma in the dermis. She was treated with surgical excision and systemic chemotherapy. Literature review has suggested that a combined modality approach including surgical excision and chemotherapy may be useful in the management of skin metastases due to ovarian cancer.

Citations

Citations to this article as recorded by

Cutaneous Metastases—Histological Particularities of Multifaceted Entities
Andreea Cătălina Tinca, Bianca Andreea Lazar, Andreea Raluca Cozac-Szőke, Georgian Nicolae Radu, Simina Petra Simion, Diana Maria Chiorean, Irina Bianca Kosovski, Adrian Horațiu Sabău, Raluca Niculescu, Iuliu Gabriel Cocuz, Raluca-Diana Hagău, Emoke Andre
Dermatopathology.2025; 12(2): 14. CrossRef
Skin metastasis from ovarian cancer with somatic BRCA1 mutation: A case report and literature review
Jingheng Zhang, Wenfeng He, Zhenhua Zhang, Hui Dong, Xiangyu Deng, Qinglian Wen, Dan Li
Oncology Letters.2024;[Epub] CrossRef
Metastasis of ovarian cancer to nasal skin and skin on the trunk: a rare case report
Chen Chen, Ouyang Yingyao, Xiang Yan, He Qianru, Wang Hong, Chen Chen, Yang Lei
Frontiers in Oncology.2023;[Epub] CrossRef
A Rare and Sinister Presentation of Cutaneous Metastasis over Right Lower Limb in a Case of Ovarian Carcinoma
Preema Sinha, Parul Kamboj, Anamika Sinha, Juhi Sharma
Journal of Marine Medical Society.2022; 24(2): 211. CrossRef
Clinicopathologic features of cutaneous metastases from internal malignancies
Hyeong Mok Kwon, Gyu Yeong Kim, Dong Hoon Shin, Young Kyung Bae
Journal of Pathology and Translational Medicine.2021; 55(4): 289. CrossRef
Rare Sites Metastasis in Ovarian Carcinoma: a Compilation of 3 Case Reports
Megha Nandwani, Debabrata Barmon, Dimpy Begum, Amal C. Kataki
Indian Journal of Surgical Oncology.2020; 11(1): 150. CrossRef
Cutaneous metastasis of PD-L1 positive ovarian carcinoma
Victoria Hastings, Jennifer McEachron, Marguax J. Kanis
Gynecologic Oncology Reports.2020; 33: 100607. CrossRef
PET/CT for Evaluation of Ovarian Cancer
Jukka Kemppainen, Johanna Hynninen, Johanna Virtanen, Marko Seppänen
Seminars in Nuclear Medicine.2019; 49(6): 484. CrossRef
Cutaneous Metastases in Ovarian Cancer
Isao Otsuka
Cancers.2019; 11(9): 1292. CrossRef
Skin metastases in ovarian clear cell adenocarcinoma: a case report and a review of the literature
Gina Nam, Young-mee Lim, Min Sun Cho, Junghye Lee, Yun Hwan Kim
Obstetrics & Gynecology Science.2017; 60(6): 593. CrossRef
Two independent incidences of skin metastases in the umbilicus and abdominal wall in ovarian serous adenocarcinoma
Hongyan Cheng, Chunmei Gao, Runtong Zhang, Zhaojie Yang, Guiyu Zhang
Medicine.2017; 96(49): e9118. CrossRef
Cutaneous metastases from adenocarcinoma of the ovary
Heidi H. McDonald, Milton R. Moore, Jeffrey J. Meffert
JAAD Case Reports.2016; 2(5): 406. CrossRef
Ovarian carcinoma presenting as cutaneous nasal metastasis
Ana Marta António, João Vitor Alves, João Goulão, Elvira Bártolo
Anais Brasileiros de Dermatologia.2016; 91(5 suppl 1): 101. CrossRef

12,617 View
72 Download
13 Crossref

First
Prev
Page of 1
Next
Last

Search