A tumor-infiltrating B lymphocytes -related index based on machine-learning predicts prognosis and immunotherapy response in lung adenocarcinoma

A tumor-infiltrating B lymphocytes -related index based on machine-learning predicts prognosis and immunotherapy response in lung adenocarcinoma

IntroductionTumor-infiltrating B lymphocytes (TILBs) play a pivotal role in shaping the immune microenvironment of tumors (TIME) and in the progression of lung adenocarcinoma (LUAD). However, there remains a scarcity of research that has thoroughly and systematically delineated the characteristics o...

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Bibliographic Details
Main Authors: Jiale Fang, Siyuan Yu, Wei Wang, Cheng Liu, Xiaojia Lv, Jiaqi Jin, Xiaomin Han, Fang Zhou, Yukun Wang
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-03-01
Series:Frontiers in Immunology
Subjects:
lung cancer
immunotherapy
machine learning
TCGA
B-cell
tumor microenvironment
Online Access:https://www.frontiersin.org/articles/10.3389/fimmu.2025.1524120/full
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https://www.frontiersin.org/articles/10.3389/fimmu.2025.1524120/full

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