Abstract

The heterogeneity of lung adenocarcinoma is driven by key mutations in oncogenes. To determine the gene expression, single nucleotide polymorphisms, and co-mutations participating in the initiation and progression of lung adenocarcinoma, we comprehensively analyzed the data of 491 patients from The Cancer Genome Atlas. Using log-rank and Kruskal–Wallis analysis, Oncoprint, Kaplan–Meier survival plots, and a nomogram, we found that EGFRL858R with co-mutation TP53 was significant prognostic determinant versus that with co-wild TP53 (hazard ratio, 2.77, P = 0.012). Further gene co-expression network and functional enrichment analysis indicated that co-mutation of EGFRL858R/TP53 increases the expression of COMP and ITGB8, which are involved in extracellular matrix organization and cell surface receptor signaling pathways, thus contributing to poor prognosis in lung adenocarcinoma. Validation was performed using three GEO profiles along with colony formation and CCK-8 assays for proliferation, transwell and wound-healing for migration in transfected H1299 and A549 cell lines. To the best of our knowledge, these results are the first to indicate that patients harboring the co-mutation of EGFRL858R/TP53 show increased expression of COMP and ITGB8, which participate in extracellular matrix dysfunction and can be used as prognostic biomarkers in patients with lung adenocarcinoma.

Highlights

  • Lung cancer remains the leading cause of cancer-related mortality worldwide, accounting for approximately 1.76 million deaths each year, of which lung adenocarcinoma (AC) accounts for over 40% (Bray et al, 2018)

  • The characteristics of 491 lung AC patients in the present study from The Cancer Genome Atlas (TCGA) cohort are displayed in Supplementary Table S1, including the patients’ gender, age at diagnosis, and cancer clinical stage

  • The results revealed that EGFRL858R/TP53MUT resulted in increases migration abilities compared with A549 and H1299 cells in the negative control (NC) group (Figures 5D,E)

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Summary

Introduction

Lung cancer remains the leading cause of cancer-related mortality worldwide, accounting for approximately 1.76 million deaths each year, of which lung adenocarcinoma (AC) accounts for over 40% (Bray et al, 2018). Since most lung AC patients present with locally advanced or metastatic cancer at initial diagnosis, their total 5-year survival is only about 15% (Imielinski et al, 2012). Even though molecular diagnostics and targeted therapies have improved the survival status for patients with SMG, adaptive and therapeutic resistance is usually observed (Imielinski et al, 2012). These resistance mechanisms might occur through parallel and/or as collateral of activated signaling pathways and driver genes, developing off-target resistance. Investigation on combined mutation of SMGs and the parallel or downstream signaling pathways that lead to off-target resistance can provide new effective therapeutic strategies

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