Machine learning based predictive model and genetic mutation landscape for high-grade colorectal neuroendocrine carcinoma: a SEER database analysis with external validation

BackgroundHigh-grade colorectal neuroendocrine carcinoma (HCNEC) is a rare but aggressive subset of neuroendocrine tumors. This study was designed to construct a risk model based on comprehensive clinical and mutational genomics data to facilitate clinical decision making.MethodsA retrospective anal...

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Detalhes bibliográficos

Principais autores:	Ruixin Wu, Sihao Chen, Yi He, Ya Li, Song Mu, Aishun Jin
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Frontiers Media S.A. 2025-01-01
Colecção:	Frontiers in Oncology
Assuntos:	high-grade colorectal neuroendocrine carcinoma (HCNEC) machine learning prognosis SEER COSMIC genetic mutation landscape
Acesso em linha:	https://www.frontiersin.org/articles/10.3389/fonc.2025.1509170/full
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