Evidence map›Paper›PMID 42260148›Full record

ArticleScientific reports2026

Constructing a prognostic survival model for patients with stage II-IV epithelial ovarian cancer: a study based on the SEER database and external validation in China.

Luqi Ying, Zhiwei Zhang, Xin Sun, Xingcha Wang, Yingping Zhou, Luwen Zhao

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Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Luqi YingThe First Department of Gynecology, Affiliated Hospital of Chengde Medical University, Chengde, Hebei Province, China.
Zhiwei ZhangDepartment of Orthopedic and Reconstructive Surgery, Fuzhou Second General Hospital, Fuzhou, Fujian Province, China.
Xin SunThe First Department of Gynecology, Affiliated Hospital of Chengde Medical University, Chengde, Hebei Province, China.
Xingcha WangThe First Department of Gynecology, Affiliated Hospital of Chengde Medical University, Chengde, Hebei Province, China.
Yingping ZhouThe First Department of Gynecology, Affiliated Hospital of Chengde Medical University, Chengde, Hebei Province, China.
Luwen ZhaoThe First Department of Gynecology, Affiliated Hospital of Chengde Medical University, Chengde, Hebei Province, China. luwenzhao2009@126.com.

Funding

Hebei Provincial Medical Research and Enterprise Joint Innovation Special Project Plan LH20250145
6 · The paper itself

Abstract

This study utilized the Surveillance, Epidemiology, and End Results (SEER) database to identify clinicopathological prognostic factors and develop a prognostic nomogram for predicting 1-, 3-, and 5-year overall survival (OS) in patients with stage II-IV epithelial ovarian cancer (EOC), aiming to enhance survival prediction accuracy and inform personalized therapeutic strategies. Clinical data of patients diagnosed between 2004 and 2020 were extracted and randomly divided into training, tuning, and internal validation cohorts at a 7:2:1 ratio. Univariate and multivariate Cox regression analyses identified age, tumor differentiation grade, AJCC stage, tumor size, number of positive lymph nodes, number of lymph nodes examined, surgery, chemotherapy, sequence of systemic therapy and surgery, and time from diagnosis to treatment as independent prognostic factors for OS (all P < 0.05). A prognostic nomogram was subsequently developed and externally validated using an independent cohort of 115 EOC patients from Chengde Medical University (2014-2020). The model exhibited acceptable discriminative performance, with concordance indexes (C-index) of 0.693, 0.683, and 0.700 for the training, internal validation, and external validation cohorts, respectively. Calibration curves, receiver operating characteristic (ROC) curves, and area under the curve (AUC) values all exceeded 0.7, indicating reliable prediction of 1-, 3-, and 5-year survival rates. Kaplan-Meier curves revealed significant survival differences across risk groups, and decision curve analysis (DCA) confirmed the clinical utility of the nomogram. In conclusion, this externally validated nomogram can assist in predicting OS in patients with stage II-IV EOC, demonstrating moderate yet clinically useful performance with a C-index of 0.700. It addresses the need for personalized prognostic assessment and aids in tailoring therapeutic strategies, thereby potentially improving patient outcomes.

Indexed as

Carcinoma, Ovarian EpithelialOvarian NeoplasmsAdultAgedChinaFemaleHumansMiddle AgedNeoplasm StagingNomogramsPrognosisProportional Hazards ModelsROC CurveSEER ProgramEpithelial ovarian cancerNomogramPrognostic factorsSEER databaseStage II-IV

Identifiers

PMID42260148
PMCPMC13487177

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