Nomograms for predicting overall and Cancer-specific Survival among patients with prostatic ductal adenocarcinoma: a population-base study.

IF 2.9 3区医学 Q2 ONCOLOGY

Expert Review of Anticancer Therapy Pub Date : 2025-02-07 DOI:10.1080/14737140.2025.2464926

Zhan Zhao, QianSan Zhu

{"title":"Nomograms for predicting overall and Cancer-specific Survival among patients with prostatic ductal adenocarcinoma: a population-base study.","authors":"Zhan Zhao, QianSan Zhu","doi":"10.1080/14737140.2025.2464926","DOIUrl":null,"url":null,"abstract":"Background: Prostatic ductal adenocarcinoma (PDA) is a rare malignant tumor, and research on its clinical features and prognosis is scarce. This study aims to develop prognostic nomograms to predict the overall survival (OS) and cancer-specific survival (CSS) in patients with PDA.Research design and methods: Among the 1,049 identified patients, an 8:2 random division yielded development and validation cohorts. Univariate and multivariate Cox analyses were performed to identify independent prognostic factors, which were then incorporated into nomograms predicting 1-, 3-, and 5-year OS and CSS for patients with PDA. The prognostic nomograms were evaluated using Concordance index (C-index) and receiver operating characteristic (ROC) curve, with internal validation performed through Decision Curve Analysis (DCA).Results: Independent prognostic factors, including age, marital status, lymph node status, distant metastasis, surgery method, chemotherapy, and Gleason score, were incorporated into the developed nomograms. The results of training (C-index: OS = 0.74, CSS = 0.69; AUC value: OS = 0.822-0.892, CSS = 0.836-0.873) and internal validation (C-index: OS = 0.78, CSS = 0.77) indicated our nomograms had good performance The clinical decision curve indicated that the nomogram had a good clinical net benefit.Conclusions: This study successfully established and validated prognostic nomograms tailored for PDA patients.","PeriodicalId":12099,"journal":{"name":"Expert Review of Anticancer Therapy","volume":" ","pages":""},"PeriodicalIF":2.9000,"publicationDate":"2025-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Expert Review of Anticancer Therapy","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1080/14737140.2025.2464926","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ONCOLOGY","Score":null,"Total":0}

引用次数: 0

Abstract

Background: Prostatic ductal adenocarcinoma (PDA) is a rare malignant tumor, and research on its clinical features and prognosis is scarce. This study aims to develop prognostic nomograms to predict the overall survival (OS) and cancer-specific survival (CSS) in patients with PDA.

Research design and methods: Among the 1,049 identified patients, an 8:2 random division yielded development and validation cohorts. Univariate and multivariate Cox analyses were performed to identify independent prognostic factors, which were then incorporated into nomograms predicting 1-, 3-, and 5-year OS and CSS for patients with PDA. The prognostic nomograms were evaluated using Concordance index (C-index) and receiver operating characteristic (ROC) curve, with internal validation performed through Decision Curve Analysis (DCA).

Results: Independent prognostic factors, including age, marital status, lymph node status, distant metastasis, surgery method, chemotherapy, and Gleason score, were incorporated into the developed nomograms. The results of training (C-index: OS = 0.74, CSS = 0.69; AUC value: OS = 0.822-0.892, CSS = 0.836-0.873) and internal validation (C-index: OS = 0.78, CSS = 0.77) indicated our nomograms had good performance The clinical decision curve indicated that the nomogram had a good clinical net benefit.

Conclusions: This study successfully established and validated prognostic nomograms tailored for PDA patients.

查看原文本刊更多论文

求助全文

约1分钟内获得全文求助全文

来源期刊

Expert Review of Anticancer Therapy 医学-肿瘤学

CiteScore

5.10

自引率

3.00%

发文量

100

审稿时长

4-8 weeks

期刊介绍： Expert Review of Anticancer Therapy (ISSN 1473-7140) provides expert appraisal and commentary on the major trends in cancer care and highlights the performance of new therapeutic and diagnostic approaches. Coverage includes tumor management, novel medicines, anticancer agents and chemotherapy, biological therapy, cancer vaccines, therapeutic indications, biomarkers and diagnostics, and treatment guidelines. All articles are subject to rigorous peer-review, and the journal makes an essential contribution to decision-making in cancer care. Comprehensive coverage in each review is complemented by the unique Expert Review format and includes the following sections: Expert Opinion - a personal view of the data presented in the article, a discussion on the developments that are likely to be important in the future, and the avenues of research likely to become exciting as further studies yield more detailed results Article Highlights – an executive summary of the author’s most critical points.