<i>SERPINA3</i> as a Secreted-Protein Biomarker Associated with Poor Prognosis and T-cell Dysfunction in Non-Small Cell Lung Cancer

BACKGROUND: Lung cancer remains the leading cause of cancer-related mortality, with poor outcomes driven by late presentation and therapy resistance. Although genes encoding secreted proteins may reflect tumor biology and have biomarker potential, systematic multi-cohort studies identifying and validating prognostically relevant secreted-protein candidates in non-small cell lung cancer (NSCLC) are limited. METHODS: We conducted a multi-cohort transcriptomic screen of 1,896 genes encoding secreted proteins to nominate prognostic candidates in NSCLC. Candidates were prioritized based on differential expression between tumor and normal tissues and survival associations across public NSCLC cohorts, and SERPINA3 was selected for further validation in the TCGA NSCLC dataset. Tumors were stratified by SERPINA3 expression for Kaplan-Meier survival analysis and gene set enrichment analysis using the Hallmark and Kyoto Encyclopedia of Genes and Genomes (KEGG) collections. Translational relevance was assessed in a retrospective bronchoalveolar lavage fluid (BALF) registry using multivariable Cox models. RESULTS: In the TCGA NSCLC dataset, SERPINA3-high tumors had shorter overall and progression-free survival (OS: log-rank p=0.016; PFS: log-rank p=0.018). GSEA showed enrichment of TNF-α/NF-κB, inflammatory response, IL6-JAK-STAT3, and IL-17 signaling, and the SERPINA3-high state displayed a T-cell-infiltrated yet checkpoint-high/exhausted phenotype with increased TGF-β, IL-10, and IDO. In the BALF registry, higher BALF-but not plasma-SERPINA3 independently predicted shorter PFS, with a nonsignificant trend for OS after adjustment. CONCLUSION: Across datasets, SERPINA3 marks an immune-inflammatory tumor state associated with worse survival. BALF-based measurement captured tumor-proximal signals that may be less apparent in plasma, supporting its potential clinical utility for risk stratification and warranting prospective validation.

Authors

Institutions

Publication Details

Journal
Tuberculosis & respiratory diseases
Published
2026-05-18
DOI
https://doi.org/10.4046/trd.2026.0014
Primary Topic
Ferroptosis and cancer prognosis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

SERPINA3 as a Secreted-Protein Biomarker Associated with Poor Prognosis and T-cell Dysfunction in Non-Small Cell Lung Cancer

Geunin Lee, Jae‐Joong Kim, Chang‐Myung Oh, Yunju Jo et al.
Tuberculosis & respiratory diseases
Ferroptosis and cancer prognosis
article

SERPINA3 as a Secreted-Protein Biomarker Associated with Poor Prognosis and T-cell Dysfunction in Non-Small Cell Lung Cancer

Geunin Lee, Jae‐Joong Kim, Chang‐Myung Oh, Yunju Jo, S J Yong, Dongryeol Ryu, Eun Young Kim, Sang Hoon Lee, Wooju Jeong
article en

Abstract

BACKGROUND: Lung cancer remains the leading cause of cancer-related mortality, with poor outcomes driven by late presentation and therapy resistance. Although genes encoding secreted proteins may reflect tumor biology and have biomarker potential, systematic multi-cohort studies identifying and validating prognostically relevant secreted-protein candidates in non-small cell lung cancer (NSCLC) are limited. METHODS: We conducted a multi-cohort transcriptomic screen of 1,896 genes encoding secreted proteins to nominate prognostic candidates in NSCLC. Candidates were prioritized based on differential expression between tumor and normal tissues and survival associations across public NSCLC cohorts, and SERPINA3 was selected for further validation in the TCGA NSCLC dataset. Tumors were stratified by SERPINA3 expression for Kaplan-Meier survival analysis and gene set enrichment analysis using the Hallmark and Kyoto Encyclopedia of Genes and Genomes (KEGG) collections. Translational relevance was assessed in a retrospective bronchoalveolar lavage fluid (BALF) registry using multivariable Cox models. RESULTS: In the TCGA NSCLC dataset, SERPINA3-high tumors had shorter overall and progression-free survival (OS: log-rank p=0.016; PFS: log-rank p=0.018). GSEA showed enrichment of TNF-α/NF-κB, inflammatory response, IL6-JAK-STAT3, and IL-17 signaling, and the SERPINA3-high state displayed a T-cell-infiltrated yet checkpoint-high/exhausted phenotype with increased TGF-β, IL-10, and IDO. In the BALF registry, higher BALF-but not plasma-SERPINA3 independently predicted shorter PFS, with a nonsignificant trend for OS after adjustment. CONCLUSION: Across datasets, SERPINA3 marks an immune-inflammatory tumor state associated with worse survival. BALF-based measurement captured tumor-proximal signals that may be less apparent in plasma, supporting its potential clinical utility for risk stratification and warranting prospective validation.

Tuberculosis & respiratory diseases
Yonsei University (KR), Severance Hospital (KR), Gwangju Institute of Science and Technology (KR), Inha University Hospital (KR)
Good health and well-being
Openalex Percentile: Top 7%
Ferroptosis and cancer prognosis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.