Machine learning-based tumor associated macrophages polarity signature predicts prognosis and treatment response in hepatocellular carcinoma

We developed and validated a robust TAM polarity-related signature that effectively stratifies HCC patients by prognosis. TPS provides insights into tumor immunity, metabolism, and drug response, and may serve as a valuable tool for precision medicine in HCC.

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Publication Details

Journal
Frontiers in Immunology
Published
2025-11-05
DOI
https://doi.org/10.3389/fimmu.2025.1663519
Primary Topic
Immune cells in cancer
Type
article
Field-Weighted Citation Impact
0.00
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article

Machine learning-based tumor associated macrophages polarity signature predicts prognosis and treatment response in hepatocellular carcinoma

Shichun Lu, Fangzhou Wang, Yamin Zheng, Quan Zhang
Frontiers in Immunology
Immune cells in cancer
article

Machine learning-based tumor associated macrophages polarity signature predicts prognosis and treatment response in hepatocellular carcinoma

Shichun Lu, Fangzhou Wang, Yamin Zheng, Quan Zhang
article en

Abstract

We developed and validated a robust TAM polarity-related signature that effectively stratifies HCC patients by prognosis. TPS provides insights into tumor immunity, metabolism, and drug response, and may serve as a valuable tool for precision medicine in HCC.

Frontiers in ImmunologyVol. 16
Capital Medical University (CN), Chinese PLA General Hospital (CN), Beijing Xuanwu Traditional Chinese Medicine Hospital (CN), The 309th Hospital of Chinese People's Liberation Army (CN)
Openalex Percentile: Top 66%
Immune cells in cancer
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