Evidence map›Paper›PMID 40646391›Full record

ArticleDiscover oncology2025

Development and validation of a prognostic nomogram for gastric GIST patients under 65 years of age.

Yifan Cheng, Shuyang Gao, Zhen Tian, Shuai Zhao, Ruiqi Li, Jiajie Zhou, Yayan Fu, Qiannan Sun, Daorong Wang

Abstract read
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Article in Discover oncology, 2025. 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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5 · Who and what money

Authors and funding

9 authors.

Yifan Cheng *Northern Jiangsu People's Hospital, Clinical Teaching Hospital of Medical School, Nanjing University, Yangzhou, China.ORCID http://orcid.org/0000-0003-3957-9825
Shuyang Gao *Northern Jiangsu People's Hospital Affiliated to Dalian Medical University, Yangzhou, 225001, China.
Zhen TianNorthern Jiangsu People's Hospital, Clinical Teaching Hospital of Medical School, Nanjing University, Yangzhou, China.
Shuai ZhaoNorthern Jiangsu People's Hospital, Clinical Teaching Hospital of Medical School, Nanjing University, Yangzhou, China.
Ruiqi LiNorthern Jiangsu People's Hospital, Clinical Teaching Hospital of Medical School, Nanjing University, Yangzhou, China.
Jiajie ZhouNorthern Jiangsu People's Hospital, Clinical Teaching Hospital of Medical School, Nanjing University, Yangzhou, China.
Yayan FuNorthern Jiangsu People's Hospital Affiliated to Yangzhou University, Yangzhou, 225001, China.
Qiannan SunNorthern Jiangsu People's Hospital, Yangzhou, 225001, China.
Daorong WangNorthern Jiangsu People's Hospital, Clinical Teaching Hospital of Medical School, Nanjing University, Yangzhou, China. wdaorong666@sina.com.

Funding

National Natural Science Foundation of China 82373014YangZhou Municipal Science and Technology Bureau YZ2020159
6 · The paper itself

Abstract

backgroundGastric gastrointestinal stromal tumor (GIST) is the most common sarcoma of the digestive tract. Due to the fact that younger patients often present with more aggressive disease and exhibit different treatment responses compared to older patients, this study aimed to develop models to predict overall survival (OS) and cancer-specific survival (CSS) in postoperative gastric GIST patients under the age of 65, thereby aiding in the creation of optimal, individualized treatment strategies.

methodsWe first reviewed demographic and clinicopathological characteristics data from 1990 to 2021 of patients diagnosed with GIST in the Surveillance, Epidemiology, and End Results (SEER) database. Subsequently, we examined the data of the external validation cohort from Northern Jiangsu People's Hospital. Utilizing Lasso analysis and multivariate Cox regression analyses, we confirmed the independent risk factors and created nomograms for the prediction of OS and CSS of postoperative gastric GIST patients under age 65, followed by validation with the external validation cohort. To assess the predictive ability of these nomograms, we employed the concordance index (C-index), calibration curves, time-dependent receiver operating characteristic (ROC), and decision curve analysis (DCA).

resultsA total of 735 eligible gastric GIST patients from SEER were enrolled in the training cohort and 113 patients from Northern Jiangsu People's Hospital were enrolled in the validation cohort. 3 factors (grade, M stage, mitotic index) associated with OS and 4 factors (grade, T stage, M stage, mitotic index) associated with CSS were included in the model respectively. In the training cohort, the C-index was 0.706 (95% CI = 0.645-0.767) for OS and 0.880 (95% CI = 0.845-0.915) for CSS, while in the validation cohort, the C-index was 0.718 (95% CI = 0.618-0.818) for OS and 0.805 (95% CI = 0.715-0.895) for CSS. Calibration curves and ROCs for 3-, 5-, and 8-year OS and CSS showed high discrimination and calibration. DCA results showed that the nomograms had clinical value in predicting OS and CSS in gastric GIST patients.

conclusionOur nomograms satisfactorily predicted OS and CSS in postoperative gastric GIST patients under age 65, which could assist clinicians in evaluating postoperative status, guiding subsequent treatments, and improving patient prognosis.

Indexed as

Cancer-specific survivalGastrointestinal stromal tumorNomogramOverall survival

Identifiers

PMID40646391
PMCPMC12254104

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