Development and validation of a prognostic and predictive 32-gene signature for gastric cancer

Genomic profiling can provide prognostic and predictive information to guide clinical care. Biomarkers that reliably predict patient response to chemotherapy and immune checkpoint inhibition in gastric cancer are lacking. In this retrospective analysis, we use our machine learning algorithm NTriPath...

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Detalles Bibliográficos
Autores principales: Cheong, Jae-Ho, Wang, Sam C., Park, Sunho, Porembka, Matthew R., Christie, Alana L., Kim, Hyunki, Kim, Hyo Song, Zhu, Hong, Hyung, Woo Jin, Noh, Sung Hoon, Hu, Bo, Hong, Changjin, Karalis, John D., Kim, In-Ho, Lee, Sung Hak, Hwang, Tae Hyun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8828873/
https://www.ncbi.nlm.nih.gov/pubmed/35140202
http://dx.doi.org/10.1038/s41467-022-28437-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8828873/
https://www.ncbi.nlm.nih.gov/pubmed/35140202
http://dx.doi.org/10.1038/s41467-022-28437-y

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