Evidence map›Paper›PMID 41882682›Full record

ArticleBMC pulmonary medicine2026

Development and validation of a comprehensive immune-related gene signature for prognostic stratification in stage I lung adenocarcinoma.

Xin Zhang, ShiNing Li, SiSheng Luo, XinYu Liu, Yong Ao, LeQi Zhong, Yi Hu

Abstract readValidation Study
In one paragraph

Article in BMC pulmonary medicine, 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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2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Xin Zhang *Department of Thoracic Oncology, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, Guangdong Province, China.
ShiNing Li *No. 2 Department of Thoracic Surgery, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, 101149, China.
SiSheng LuoDepartment of Thoracic Oncology, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, Guangdong Province, China.
XinYu LiuDepartment of Thoracic Oncology, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, Guangdong Province, China.
Yong AoDepartment of Thoracic Oncology, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, Guangdong Province, China.
LeQi ZhongDepartment of Thoracic Oncology, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, Guangdong Province, China.
Yi HuDepartment of Thoracic Oncology, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, Guangdong Province, China. huyisci@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe increased detection of stage I lung adenocarcinoma (LUAD) through low-dose spiral CT highlights the need for better prognostic tools. This study developed an immune-related gene signature to predict outcomes and guide personalized management.

methodsImmune-related genes from the ImmPort database were analyzed using univariate Cox and LASSO regression. A multivariate Cox model and nomogram were constructed, with performance evaluated via ROC curves, decision curve analysis, and calibration curves. The model was validated in two independent datasets. Patients were stratified by risk score, followed by differential gene expression, enrichment, and immune infiltration analyses.

resultsA 29-gene signature was established and validated, showing robust AUC values and clinical utility. Enrichment analysis linked the signature to tumor progression and metastasis. High-risk patients exhibited higher tumor purity and lower immune/stromal scores, indicating an immunosuppressive microenvironment.

conclusionThis immune-related gene signature enables risk stratification and supports personalized treatment strategies for stage I LUAD.

Indexed as

Adenocarcinoma of LungLung NeoplasmsAgedBiomarkers, TumorFemaleGene Expression ProfilingHumansMaleMiddle AgedNeoplasm StagingNomogramsPrognosisProportional Hazards ModelsRisk AssessmentROC CurveTranscriptomeBiomarkers, TumorIA stageImmune infiltrationImmune-related genesLung adenocarcinomaPrognostic signature

Identifiers

PMID41882682
PMCPMC13137612

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