G0S2: a potential target for NSCLC identified through prognostic models from multi-Omic analysis of regulatory T cell metabolic genes

Non-small cell lung cancer (NSCLC) remains a leading cause of cancer-related mortality, with immunotherapy proving effective only in a subset of patients, highlighting the urgent need for improved biomarkers and therapeutic targets. This study explored regulatory T cell (Treg) metabolism-related genes in NSCLC and established a seven-gene prognostic signature (TIMP1, BIRC3, G0S2, PRKCB, PDE4B, CD52, and ACP5) through multi-omics analysis. The model stratified patients into high- and low-risk groups exhibiting distinct immune profiles and drug sensitivities. Clinical validation confirmed that elevated BIRC3 and G0S2 expression correlated with poorer prognosis, while functional assays demonstrated that G0S2 inhibition suppressed tumour progression and reduced Treg infiltration in vivo. These findings position G0S2 as a promising biomarker for immunotherapy response and a potential therapeutic target, providing insights into Treg-mediated immune regulation and advancing personalized NSCLC treatment strategies.

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Publication Details

Journal
npj Precision Oncology
Published
2025-06-19
DOI
https://doi.org/10.1038/s41698-025-00995-6
Citations
4
Primary Topic
Cancer Immunotherapy and Biomarkers
Type
article
Field-Weighted Citation Impact
4.18
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G0S2: a potential target for NSCLC identified through prognostic models from multi-Omic analysis of regulatory T cell metabolic genes

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article

G0S2: a potential target for NSCLC identified through prognostic models from multi-Omic analysis of regulatory T cell metabolic genes

Zhe Xu, Lutong Cai, M. Liu, Lei Sun, Yunpeng Bai, Lin Su, Min Zhou, Yile Hu
article en
4 citations

Abstract

Non-small cell lung cancer (NSCLC) remains a leading cause of cancer-related mortality, with immunotherapy proving effective only in a subset of patients, highlighting the urgent need for improved biomarkers and therapeutic targets. This study explored regulatory T cell (Treg) metabolism-related genes in NSCLC and established a seven-gene prognostic signature (TIMP1, BIRC3, G0S2, PRKCB, PDE4B, CD52, and ACP5) through multi-omics analysis. The model stratified patients into high- and low-risk groups exhibiting distinct immune profiles and drug sensitivities. Clinical validation confirmed that elevated BIRC3 and G0S2 expression correlated with poorer prognosis, while functional assays demonstrated that G0S2 inhibition suppressed tumour progression and reduced Treg infiltration in vivo. These findings position G0S2 as a promising biomarker for immunotherapy response and a potential therapeutic target, providing insights into Treg-mediated immune regulation and advancing personalized NSCLC treatment strategies.

npj Precision OncologyVol. 9(1)
Shenyang Medical College (CN), Dalian Medical University (CN), Second Affiliated Hospital of Dalian Medical University (CN), First Hospital of China Medical University (CN), China Medical University (CN)
Zero hunger
Openalex Percentile: Top 5%
Cancer Immunotherapy and Biomarkers
4.18
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