Development of a relapse-related RiskScore model to predict the drug sensitivity and prognosis for patients with ovarian cancer

• Published in: PeerJ (San Francisco, CA) Vol. 13; p. e19764
• Main Authors: Jin, Zhixin, Wang, Xuegu, Li, Xiang, Yang, Shasha, Ding, Biao, Fei, Jiaojiao, Wang, Xiaojing, Dou, Chengli
• Format: Journal Article
• Language: English
• Published: United States PeerJ. Ltd 11.08.2025; PeerJ, Inc; PeerJ Inc
• Subjects: Analysis; Antineoplastic Agents - pharmacology; Antineoplastic Agents - therapeutic use; Bioinformatics; Biomarkers, Tumor - genetics; Cancer; Cancer patients; Cancer therapies; Cell Biology; Cell migration; Cells; Chemotherapy; Datasets; Drug Resistance, Neoplasm - genetics; Drug sensitivity; Drugs; Epithelial cells; Epithelium; Female; Gene expression; Gene Expression Profiling; Gene Expression Regulation, Neoplastic; Genes; Genetic aspects; Genomes; Genomics; Gynecology and Obstetrics; Humans; Malignancy; Medical prognosis; Neoplasm Recurrence, Local - drug therapy; Neoplasm Recurrence, Local - genetics; Oncology; Ovarian cancer; Ovarian Neoplasms - drug therapy; Ovarian Neoplasms - genetics; Ovarian Neoplasms - pathology; Patients; Prognosis; Prognostic model; Regression analysis; Relapse; Reproductive system; Risk; Risk Assessment; Risk groups; RiskScore; Sensitivity analysis; Single cell atlas; Vinorelbine; Women’s Health; United States > US; China; Shanghai China; Prognostic model; RiskScore; Single cell atlas; Relapse; Drug sensitivity; Ovarian cancer

Ovarian cancer (OC) is a highly aggressive malignancy in the reproductive system of women, with a high recurrence rate. The present research was designed to establish a relapse-based RiskScore model to assess the drug sensitivity and prognosis for patients with OC. Gene Expression Omnibus (GEO) and...