Literature DB >> 33327048

Ovarian cancer risk score predicts chemo-response and outcome in epithelial ovarian carcinoma patients.

Hsiao Yun Lu1,2, Yi Jou Tai2,3, Yu Li Chen2, Ying Cheng Chiang2,4, Heng Cheng Hsu2,5, Wen Fang Cheng2,3,6.   

Abstract

OBJECTIVE: Cytoreductive surgery followed by adjuvant chemotherapy is a standard frontline treatment for epithelial ovarian cancer (EOC). We aimed to develop an ovarian cancer risk score (OVRS) based on the expression of 10 ovarian-cancer-related genes to predict the chemoresistance, and outcomes of EOC patients.
METHODS: We designed a case-control study with total 149 EOC women including 75 chemosensitives and 74 chemoresistants. Gene expression was measured using the quantitative real-time polymerase chain reaction. We tested for correlation between the OVRS and chemosensitivity or chemoresistance, disease-free survival (DFS), and overall survival (OS), and validated the OVRS by analyzing patients from the TCGA database.
RESULTS: The chemosensitive group had lower OVRS than the chemoresistant group (5 vs. 15, p≤0.001, Mann-Whitney U test). Patients with disease relapse (13 vs. 5, p<0.001, Mann-Whitney U test) or disease-related death (13.5 vs. 6, p<0.001) had higher OVRS than those without. OVRS ≥10 (hazard ratio=3.29; 95% confidence interval=1.94-5.58; p<0.001) was the only predictor for chemoresistance in multivariate analysis. The median DFS (5 months vs. 24 months) and OS (39 months vs. >60 months) of patients with OVRS ≥10 were significantly shorter than those of patients with OVRS <10). The high OVRS group also had significantly shorter median OS than the low OVRS group in 255 patients in the TCGA database (39 vs. 49 months, p=0.046).
CONCLUSIONS: Specific genes panel can be clinically applied in predicting the chemoresistance and outcome, and decision-making of epithelial ovarian cancer.
Copyright © 2021. Asian Society of Gynecologic Oncology, Korean Society of Gynecologic Oncology, and Japan Society of Gynecologic Oncology.

Entities:  

Keywords:  Drug Resistance; Gene Analysis; Ovarian Cancer; Prognostic Factor; Risk Score

Year:  2020        PMID: 33327048     DOI: 10.3802/jgo.2021.32.e18

Source DB:  PubMed          Journal:  J Gynecol Oncol        ISSN: 2005-0380            Impact factor:   4.401


  2 in total

1.  Overexpression of transmembrane protein 102 implicates poor prognosis and chemoresistance in epithelial ovarian carcinoma patients.

Authors:  Yi-Jou Tai; Cheng-Miao Ou; Ying-Cheng Chiang; Chi-Fang Chang; Chi-An Chen; Wen-Fang Cheng
Journal:  Am J Cancer Res       Date:  2022-09-15       Impact factor: 5.942

2.  Derivation and Validation of a Necroptosis-Related lncRNA Signature in Patients with Ovarian Cancer.

Authors:  Linling Zhu; Jiaoyan He; Xinyun Yang; Jianfeng Zheng; Wenhua Liu; Hao Chen
Journal:  J Oncol       Date:  2022-05-23       Impact factor: 4.501

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.