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Background <p>Lung adenocarcinoma (LUAD) exhibits significant molecular and immune heterogeneity, limiting the prognostic and therapeutic value of single biomarkers. Mitotic catastrophe (MC) is a key biological axis, but externally validated MC-related gene (MCRG) signatures integrating immune and pharmacologic annotations remain lacking.</p> Methods <p>We obtained datasets from the Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. Differentially expressed genes overlapping with mitotic catastrophe–related genes (MCRGs) were screened. GSVA-derived MCRG scores guided WGCNA to identify associated modules; after KEGG/GO-BP enrichment and mutation analysis, a six-gene RiskScore model was constructed via LASSO-Cox and multivariate Cox regression. Immune microenvironment was analyzed by ESTIMATE and MCPcounter; ICI responsiveness by TIDE; drug sensitivity by pRRophetic. Wet-lab validation included qPCR, CCK-8, and siRNA-mediated GNPNAT1 knockdown assays.</p> Results <p>A total of 2,290 upregulated and 1,959 downregulated genes were identified, with 266 overlapping MCRGs. The turquoise module showed the highest correlation with MCRG scores, and 940 overlapping genes were enriched in pathways like p53 signaling. The six-gene model (GNPNAT1, etc.) effectively stratified OS, PFI, and DSS in TCGA and was validated in GSE31210. High-risk tumors had lower immune scores, depleted key immune lineages, poor ICI response, and correlated with various drug IC50 values. Wet-lab assays confirmed abnormal expression of target genes in LUAD cells, and GNPNAT1 silencing inhibited proliferation, migration, and invasion.</p> Discussion <p>The MC-related molecular axis integrates tumor proliferation-metabolism-immunity networks, providing actionable guidance for perioperative and translational therapeutic stratification.</p> Conclusion <p>We proposed an MC-anchored six-gene signature integrating prognostic, immune, and therapeutic dimensions in LUAD. This exploratory study has biological plausibility, but prospective multi-center studies are required before clinical application.</p>

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Mitotic catastrophe–related six-gene signature predicts prognosis, tumor immune landscape, and therapeutic response in lung adenocarcinoma

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年5月18日

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  • Minghao Luo,
  • Guoqing Zhu,
  • Weiquan Zhong

摘要

Background

Lung adenocarcinoma (LUAD) exhibits significant molecular and immune heterogeneity, limiting the prognostic and therapeutic value of single biomarkers. Mitotic catastrophe (MC) is a key biological axis, but externally validated MC-related gene (MCRG) signatures integrating immune and pharmacologic annotations remain lacking.

Methods

We obtained datasets from the Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. Differentially expressed genes overlapping with mitotic catastrophe–related genes (MCRGs) were screened. GSVA-derived MCRG scores guided WGCNA to identify associated modules; after KEGG/GO-BP enrichment and mutation analysis, a six-gene RiskScore model was constructed via LASSO-Cox and multivariate Cox regression. Immune microenvironment was analyzed by ESTIMATE and MCPcounter; ICI responsiveness by TIDE; drug sensitivity by pRRophetic. Wet-lab validation included qPCR, CCK-8, and siRNA-mediated GNPNAT1 knockdown assays.

Results

A total of 2,290 upregulated and 1,959 downregulated genes were identified, with 266 overlapping MCRGs. The turquoise module showed the highest correlation with MCRG scores, and 940 overlapping genes were enriched in pathways like p53 signaling. The six-gene model (GNPNAT1, etc.) effectively stratified OS, PFI, and DSS in TCGA and was validated in GSE31210. High-risk tumors had lower immune scores, depleted key immune lineages, poor ICI response, and correlated with various drug IC50 values. Wet-lab assays confirmed abnormal expression of target genes in LUAD cells, and GNPNAT1 silencing inhibited proliferation, migration, and invasion.

Discussion

The MC-related molecular axis integrates tumor proliferation-metabolism-immunity networks, providing actionable guidance for perioperative and translational therapeutic stratification.

Conclusion

We proposed an MC-anchored six-gene signature integrating prognostic, immune, and therapeutic dimensions in LUAD. This exploratory study has biological plausibility, but prospective multi-center studies are required before clinical application.