TY - JOUR
T1 - Comprehensive analysis of immune infiltration, gene correlations, and traditional Chinese medicine in lung adenocarcinoma
AU - Li, Honglin
AU - Li, Nana
AU - Wang, Haoyu
AU - Zhang, Ying
AU - Ma, Zhenhui
AU - Liu, Sutong
AU - Miao, Jinxin
AU - Zhang, Zisen
AU - Xue, Xia
N1 - Publisher Copyright:
© 2025 Elsevier B.V.
PY - 2025/9
Y1 - 2025/9
N2 - Lung adenocarcinoma (LUAD) is a non-small cell lung cancer that remains a clinical challenge. Revealing the interaction between tumor cells and immune microenvironment, particularly in the context of Chinese traditional medicine, holds potential for developing novel personalized immunotherapies. This work investigated the immune infiltration patterns and gene correlations in over 500 LUAD samples from TCGA-LUAD dataset. The CIBERSORT and ssGSEA algorithms were performed to find out significant differences in immune cell abundance between high- and low-risk LUAD groups (model AUC 0.5–0.7). MAOB and ADRB2 genes showed positive correlations with resting mast cells, while TLC4S negatively correlated with activated CD4 memory T cells. In parallel, we found Baizhu was linked to genes enriched in calcium and estrogen signaling pathways, suggesting avenues for neurological and endocrine modulation. Ganjiang and Biba showed strong involvement in immune-related pathways, including TNF signaling, lung cancer, and apoptosis-correlating with their anti-inflammatory and anti-tumor applications. Renshen showed the broadest target profile (256 genes), notably engaging Th17 cell differentiation and cGMP-PKG signaling pathways. Although current models show moderate predictive performance and further experimental validation are warranted, our findings provide valuable insights into LUAD immune infiltration, gene correlations, and potential gene-drug interactions.
AB - Lung adenocarcinoma (LUAD) is a non-small cell lung cancer that remains a clinical challenge. Revealing the interaction between tumor cells and immune microenvironment, particularly in the context of Chinese traditional medicine, holds potential for developing novel personalized immunotherapies. This work investigated the immune infiltration patterns and gene correlations in over 500 LUAD samples from TCGA-LUAD dataset. The CIBERSORT and ssGSEA algorithms were performed to find out significant differences in immune cell abundance between high- and low-risk LUAD groups (model AUC 0.5–0.7). MAOB and ADRB2 genes showed positive correlations with resting mast cells, while TLC4S negatively correlated with activated CD4 memory T cells. In parallel, we found Baizhu was linked to genes enriched in calcium and estrogen signaling pathways, suggesting avenues for neurological and endocrine modulation. Ganjiang and Biba showed strong involvement in immune-related pathways, including TNF signaling, lung cancer, and apoptosis-correlating with their anti-inflammatory and anti-tumor applications. Renshen showed the broadest target profile (256 genes), notably engaging Th17 cell differentiation and cGMP-PKG signaling pathways. Although current models show moderate predictive performance and further experimental validation are warranted, our findings provide valuable insights into LUAD immune infiltration, gene correlations, and potential gene-drug interactions.
KW - Chinese traditional medicine
KW - Immune cell types
KW - Omics
KW - Personalized immunotherapy
UR - https://www.scopus.com/pages/publications/105011273293
U2 - 10.1016/j.ijbiomac.2025.146177
DO - 10.1016/j.ijbiomac.2025.146177
M3 - 文章
AN - SCOPUS:105011273293
SN - 0141-8130
VL - 321
JO - International Journal of Biological Macromolecules
JF - International Journal of Biological Macromolecules
M1 - 146177
ER -