Evidence map›Paper›PMID 38902578›Full record

ArticleMolecular biotechnology2025

SIRT2 as a Potential Biomarker in Lung Adenocarcinoma: Implications for Immune Infiltration.

Guining Zhang, Shuyu Lu, Zhiling Ren, Lijuan Wei, Chunxi Chen, Pinyue Tao, Xiao Pan

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Article in Molecular biotechnology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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7 authors.

Guining Zhang *Department of Scientific Research, The Second Affiliated Hospital of Guangxi Medical University, Nanning, 530007, Guangxi, China.
Shuyu Lu *Department of Anaesthesia, The Second Affiliated Hospital of Guangxi Medical University, No. 166 Daxue East Road, Xixiangtang District, Nanning, 530007, Guangxi, China.
Zhiling RenDepartment of Mental Health, The Second Affiliated Hospital of Guangxi Medical University, Nanning, 530007, Guangxi, China.
Lijuan WeiGraduate School, Guangxi Medical University, Nanning, 530007, Guangxi, China.
Chunxi ChenGraduate School, Guangxi Medical University, Nanning, 530007, Guangxi, China.
Pinyue TaoDepartment of Anaesthesia, The Second Affiliated Hospital of Guangxi Medical University, No. 166 Daxue East Road, Xixiangtang District, Nanning, 530007, Guangxi, China. 15878198319@163.com.
Xiao PanThe Second Ward of Otorhinolaryngology Head and Neck Surgery, The Second Affiliated Hospital of Guangxi Medical University, No. 166 Daxue East Road, Xixiangtang District, Nanning, 530007, Guangxi, China. panxiaodeyouxiang@163.com.ORCID http://orcid.org/0000-0002-0763-6656

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

SIRT2 play important roles in cell cycle and cellular metabolism in the development of non-small cell lung cancer (NSCLC), and SIRT2 exhibits its therapeutic effect on NSCLC tumors with high expression of SIRT2. Nevertheless, the clinical relevance of SIRT2 in lung adenocarcinoma (LUAD), particularly its impact on tumor growth and prognostic implications, remains obscure. This investigation entailed a comprehensive analysis of SIRT2 mRNA and protein expression levels in diverse tumor and corresponding healthy tissues, utilizing databases such as TIMER 2.0, UALCAN, and HPA. Prognostic correlations of SIRT2 expression in LUAD patients, stratified by distinct clinicopathological characteristics, were evaluated using the KM Plotter database. Additionally, the TCGA and TIMER 2.0 databases were employed to assess the relationship between SIRT2 and immune infiltration, as well as to calculate immunity, stromal, and estimation scores, thus elucidating the role of SIRT2 in modulating tumor immunotherapy responses. Furthermore, Gene Set Enrichment Analysis (GSEA) was utilized to elucidate SIRT2's biological functions in pan-cancer cells. Our findings revealed a marked reduction in both mRNA and protein levels of SIRT2 in LUAD tumors relative to healthy tissue. Survival analysis indicated that diminished SIRT2 expression correlates with adverse prognostic outcomes in LUAD. Furthermore, SIRT2 expression demonstrated a significant association with various clinicopathologic attributes of LUAD patients, influencing survival outcomes across different clinicopathologic states. Functional enrichment analyses highlighted SIRT2's involvement in cell cycle regulation and immune response. Notably, SIRT2 exhibited a positive correlation with immune cell infiltration, including natural killer (NK) cells, macrophages, and dendritic cells (DCs). In summary, SIRT2 was a potential prognostic biomarker for LUAD and and a new immunotherapy target.

Indexed as

Adenocarcinoma of LungBiomarkers, TumorLung NeoplasmsSirtuin 2FemaleGene Expression Regulation, NeoplasticHumansMaleMiddle AgedPrognosisBiomarkers, TumorSIRT2 protein, humanSirtuin 2Biological functionsExpressionImmune responseLung adenocarcinoma (LUAD)SIRT2

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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.