Gene signature developed for predicting early relapse and survival in early-stage pancreatic cancer

BACKGROUND: The aim of this study was to construct a predictive signature integrating tumour-mutation- and copy-number-variation-associated features using machine learning to precisely predict early relapse and survival in patients with resected stage I–II pancreatic ductal adenocarcinoma. METHODS:...

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Detalles Bibliográficos
Autores principales: Huang, Lei, Yuan, Xiaodong, Zhao, Liangchao, Han, Quanli, Yan, Huan, Yuan, Jing, Guan, Shasha, Xu, Xiaofeng, Dai, Guanghai, Wang, Junqing, Shi, Yan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10191445/
https://www.ncbi.nlm.nih.gov/pubmed/37196196
http://dx.doi.org/10.1093/bjsopen/zrad031

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10191445/
https://www.ncbi.nlm.nih.gov/pubmed/37196196
http://dx.doi.org/10.1093/bjsopen/zrad031

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