Integrating single cell analysis and machine learning methods reveals stem cell-related gene S100A10 as an important target for prediction of liver cancer diagnosis and immunotherapy

Integrating single cell analysis and machine learning methods reveals stem cell-related gene S100A10 as an important target for prediction of liver cancer diagnosis and immunotherapy

BackgroundHepatocellular carcinoma (LIHC) poses a significant health challenge worldwide, primarily due to late-stage diagnosis and the limited effectiveness of current therapies. Cancer stem cells are known to play a role in tumor development, metastasis, and resistance to treatment. A thorough und...

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Bibliographic Details
Main Authors: Shenjun Huang, Tingting Tu
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-01-01
Series:Frontiers in Immunology
Subjects:
cancer stem cell
hepatocellular carcinoma
single cell analysis
machine learning
S100A10
Online Access:https://www.frontiersin.org/articles/10.3389/fimmu.2024.1534723/full
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