Machine learning based identification of an amino acid metabolism related signature for predicting prognosis and immune microenvironment in pancreatic cancer

Machine learning based identification of an amino acid metabolism related signature for predicting prognosis and immune microenvironment in pancreatic cancer

Abstract Background Pancreatic cancer is a highly aggressive neoplasm characterized by poor diagnosis. Amino acids play a prominent role in the occurrence and progression of pancreatic cancer as essential building blocks for protein synthesis and key regulators of cellular metabolism. Understanding...

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Main Authors: Xiaohong Liu, Xing Wang, Jie Ren, Yuan Fang, Minzhi Gu, Feihan Zhou, Ruiling Xiao, Xiyuan Luo, Jialu Bai, Decheng Jiang, Yuemeng Tang, Bo Ren, Lei You, Yupei Zhao
Format: Article
Language:English
Published: BMC 2025-01-01
Series:BMC Cancer
Subjects:
Amino acid metabolism
Prognosis
Immune microenvironment
Pancreatic cancer
Machine-learning
Online Access:https://doi.org/10.1186/s12885-024-13374-4
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https://doi.org/10.1186/s12885-024-13374-4

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