ArticleNPJ precision oncology2025
G0S2: a potential target for NSCLC identified through prognostic models from multi-Omic analysis of regulatory T cell metabolic genes.
Article in NPJ precision oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
4 citing papers in PubMed.
- Comprehensive immunological and molecular analysis revealed inflammation-related diagnostic signatures in chronic rhinosinusitis.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2026Article
- Utilizing bulk and single-cell RNA sequencing to identify potential biomarkers linked to angiogenesis and integrated stress response in chondrosarcoma.Scientific reports · 2026Article
- Digital immune twins and ai-integrated multi-omic biomarkers: Redefining personalized immunotherapy in non-small cell lung cancer.Iranian journal of basic medical sciences · 2026Review
- Cellular characteristics of the immune microenvironment of colorectal cancer and progress in immunotherapy research.Annals of medicine · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
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.
Identifiers
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.