A Nomogram for Predicting Cancer-Specific Survival of Patients with Gastrointestinal Stromal Tumors

BACKGROUND: The aim of this study was to construct a nomogram to predict the prognosis of patients with gastrointestinal stromal tumor (GIST). MATERIAL/METHODS: We enrolled 4086 GIST patients listed in the SEER database from 1998 to 2015. They were separated to 2 groups: an experimental group (n=286...

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Detalles Bibliográficos
Autores principales: Liu, Mengmeng, Song, Chao, Zhang, Ping, Fang, Yuan, Han, Xu, Li, Jianang, Wu, Weixin, Chen, Genwen, Sun, Jianyong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: International Scientific Literature, Inc. 2020
Materias:
Clinical Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7268888/
https://www.ncbi.nlm.nih.gov/pubmed/32449506
http://dx.doi.org/10.12659/MSM.922378
Descripción
Sumario:BACKGROUND: The aim of this study was to construct a nomogram to predict the prognosis of patients with gastrointestinal stromal tumor (GIST). MATERIAL/METHODS: We enrolled 4086 GIST patients listed in the SEER database from 1998 to 2015. They were separated to 2 groups: an experimental group (n=2862) and a verification group (n=1224). A nomogram was constructed by using statistically significant prognostic factors. RESULT: A nomogram that included age, sex, marital status, tumor location, grade, SEER stage, tumor size, and surgical management was developed. It can be used to predict overall survival (OS), while adding AJCC 7(th) TNM stage can predict cancer-specific survival (CSS). The C-index used to forecast OS and CSS nomograms was 0.778 (95% CI, 0.76–0.79) and 0.818 (95% CI, 0.80–0.84), respectively. CONCLUSIONS: The nomogram can effectively predict 3- and 5-year CSS in patients with GIST, and its use can improve clinical practice.

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