Machine learning-based identification of biomarkers and drugs in immunologically cold and hot pancreatic adenocarcinomas

Machine learning-based identification of biomarkers and drugs in immunologically cold and hot pancreatic adenocarcinomas

Abstract Background Pancreatic adenocarcinomas (PAADs) often exhibit a “cold” or immunosuppressive tumor milieu, which is associated with resistance to immune checkpoint blockade therapy; however, the underlying mechanisms are incompletely understood. Here, we aimed to improve our understanding of t...

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Bibliographic Details
Main Authors: Jia Ge, Juan Ge, Gu Tang, Dejun Xiong, Dongyan Zhu, Xiaoling Ding, Xiaorong Zhou, Mengmeng Sang
Format: Article
Language:English
Published: BMC 2024-08-01
Series:Journal of Translational Medicine
Subjects:
Pancreatic adenocarcinoma
Hot/cold tumor
Machine learning
Prognostic model
Drug prediction
Molecular docking
Online Access:https://doi.org/10.1186/s12967-024-05590-0

Internet

https://doi.org/10.1186/s12967-024-05590-0

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