Evidence mapPaperPMID 41664068Full record

ArticleBMC cancer2026

Integrated analysis reveals GSTA1 as a prognostic biomarker in stage I lung adenocarcinoma.

Jingyu Ren, Hui Zeng, Guochao Zhang, Fangzhou Ren, Zhenlong Yuan, Yufei Huang, Jiaxi Xu, Zehao Song, Wenbin Li, Jianming Ying and 2 more

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Article in BMC cancer, 2026. 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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1 · What the graph read from it

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5 · Who and what money

Authors and funding

12 authors.

Jingyu Ren *Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
Hui Zeng *Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
Guochao Zhang *Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
Fangzhou Ren *Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
Zhenlong YuanDepartment of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
Yufei HuangDepartment of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
Jiaxi XuDepartment of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
Zehao SongDepartment of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
Wenbin LiDepartment of Pathology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
Jianming YingDepartment of Pathology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
Qi XueDepartment of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China. xueqi@cicams.ac.cn.
Fengwei TanDepartment of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China. tanfengwei@126.com.

Funding

Capital's Funds for Health Improvement and Research; Grant/Award Number CFH-2022-2-4025National Key R&D Program of China; Grant/Award Numbers 2021YFC2500904National Key R&D Program of China; Grant/Award Numbers 2022YFC2407404the Special Research Central Universities; Peking Union Medical College 2022-I2M-C&T-B-060
6 · The paper itself

Abstract

backgroundPostoperative survival in early-stage lung adenocarcinoma (LUAD) remains heterogeneous. Reliable prognostic biomarkers are needed to refine recurrence-risk stratification and guide individualized care.

methodsWe integrated transcriptomic profiles from 274 stage I LUAD tumors and 637 normal lung tissues across three public datasets—Genotype-Tissue Expression (GTEx), The Cancer Genome Atlas (TCGA), and Gene Expression Omnibus (GEO)—to identify differentially expressed genes (DEGs) with functional enrichment analyses. Findings were validated in an independent institutional cohort of 226 resected early-stage LUADs using tissue microarrays (TMAs) and immunohistochemistry (IHC).

resultsNine upregulated genes were associated with improved recurrence-free survival (RFS) including glutathione S-transferase alpha 1 (GSTA1). A three-gene model (NQO1, EPHX1, and GSTA1) stratified patients into high- and low-risk groups. TMA analyses confirmed that higher tumor GSTA1 protein expression correlated with longer RFS. GSTA1 expression was also associated with key clinicopathologic features, including smoking history, presence of ground-glass opacity (GGO), pathological stage, and histologic subtype composition.

conclusionsHigh GSTA1 expression is associated with a favorable prognosis in stage I LUAD. Clinically, IHC-based GSTA1 scoring can be integrated into the postoperative workflow as a pragmatic risk-stratification aid: low GSTA1, especially when found alongside adverse features (micropapillary/solid patterns, STAS, or absent GGO), may warrant intensified surveillance and a lower threshold for adjuvant-therapy discussion, whereas high GSTA1 supports standard surveillance in otherwise low-risk profiles.

Indexed as

Adenocarcinoma of LungBiomarkers, TumorGlutathione TransferaseLung NeoplasmsAgedFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansImmunohistochemistryMaleMiddle AgedNeoplasm StagingPrognosisBiomarkers, TumorGlutathione TransferaseGSTA1 protein, humanGlutathione S-transferase alpha 1 (GSTA1)Immunohistochemistry (IHC)Lung adenocarcinomaPrognostic biomarkerStage ITissue microarray (TMA)

Identifiers

PMID41664068
PMCPMC12997922

What Socratic holds

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LicenceCC BY-NC-ND
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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 Socratic graph.