Multi-omics analysis and experiments uncover the function of cancer stemness in ovarian cancer and establish a machine learning-based model for predicting immunotherapy responses

Multi-omics analysis and experiments uncover the function of cancer stemness in ovarian cancer and establish a machine learning-based model for predicting immunotherapy responses

BackgroundThe heterogeneity of cancer makes it challenging to predict its response to immunotherapy, highlighting the need to find reliable biomarkers for assessment. The sophisticated role of cancer stemness in mediating resistance to immune checkpoint inhibitors (ICIs) is still inadequately compre...

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Bibliographic Details
Main Authors: Zhibing Liu, Lei Han, Xiaoyu Ji, Xiaole Wang, Jinbo Jian, Yujie Zhai, Yingjiang Xu, Feng Wang, Xiuwen Wang, Fangling Ning
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-12-01
Series:Frontiers in Immunology
Subjects:
cancer stemness
immunotherapy
ovarian cancer
TME
snrpe
Online Access:https://www.frontiersin.org/articles/10.3389/fimmu.2024.1486652/full
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https://www.frontiersin.org/articles/10.3389/fimmu.2024.1486652/full

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