Machine learning-based integration develops a neutrophil-derived signature for improving outcomes in hepatocellular carcinoma

Machine learning-based integration develops a neutrophil-derived signature for improving outcomes in hepatocellular carcinoma

IntroductionThe heterogeneity of tumor immune microenvironments is a major factor in poor prognosis among hepatocellular carcinoma (HCC) patients. Neutrophils have been identified as playing a critical role in the immune microenvironment of HCC based on recent single-cell studies. However, there is...

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Bibliographic Details
Main Authors: Qiming Gong, Xiaodan Chen, Fahui Liu, Yuhua Cao
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-07-01
Series:Frontiers in Immunology
Subjects:
neutrophils
HCC
RTN3
prognosis
machine learning
Online Access:https://www.frontiersin.org/articles/10.3389/fimmu.2023.1216585/full

Internet

https://www.frontiersin.org/articles/10.3389/fimmu.2023.1216585/full

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