Prognostic value of SEC61G in lung adenocarcinoma: a comprehensive study based on bioinformatics and in vitro validation

BMC Cancer. 2021 Nov 13;21(1):1216. doi: 10.1186/s12885-021-08957-4.

Abstract

Background: Studies have shown that the Sec61 gamma subunit (SEC61G) is overexpressed in several tumors and could serve as a potential prognostic marker. However, the correlation between SEC61G and lung adenocarcinoma (LUAD) remains unclear. In the current study, we aimed to demonstrate the prognostic value and potential biological function of the SEC61G gene in LUAD.

Methods: Public datasets were used for SEC61G expression analyses. The prognostic value of SEC61G in LUAD was investigated using the Kaplan-Meier survival and Cox analyses. The correlation between the methylation level of SEC61G and its mRNA expression was evaluated via cBioPortal. Additionally, MethSurv was used to determine the prognostic value of the SEC61G methylation levels in LUAD. Functional enrichment analysis was conducted to explore the potential mechanism of SEC61G. Also, single sample GSEA (ssGSEA) and TIMER online tool were applied to identify the correlation between SEC61G and immune filtration. Furthermore, cell functional experiments were conducted to verify the biological behavior of SEC61G in lung adenocarcinoma cells (LAC).

Results: SEC61G was upregulated in pan-cancers, including LUAD. High SEC61G expression was significantly correlated with worse prognosis in LUAD patients. Multivariate analysis demonstrated that high SEC61G expression was an independent prognostic factor in the TCGA cohort. (HR = 1.760 95% CI: 1.297-2.388, p < 0.001). The methylation level of SEC61G negatively correlated with the SEC61G expression (R = - 0.290, p < 0.001), and patients with low SEC61G methylation had worse overall survival. (p = 0.0014). Proliferation-associated terms such as cell cycle and cell division were significantly enriched in GO and KEGG analysis. Vitro experiments demonstrated that knockdown of SEC61G resulted in decreased cell proliferation, invasion and facilitated apoptosis in LAC. GSEA analysis found that SEC61G expression was associated with the E2F targets. Moreover, SEC61G expression was negatively correlated with the immune cell infiltration including CD4+ T cell, CD8+ T cell, B cell, macrophage, neutrophil, and dendritic cell.

Conclusion: Our study indicated that overexpression of SEC61G was significantly associated with poor prognosis of LUAD patients and the malignant phenotypes of LUAD cells, suggesting that it could be a novel prognostic biomarker and potential therapeutic target of LUAD.

Keywords: Invasion; Lung adenocarcinoma; Novel biomarkers; Prognosis; Proliferation; SEC61G.

MeSH terms

  • Adenocarcinoma of Lung / genetics*
  • Adenocarcinoma of Lung / metabolism
  • Adenocarcinoma of Lung / mortality
  • Adenocarcinoma of Lung / pathology
  • Aged
  • Biomarkers, Tumor / genetics
  • Biomarkers, Tumor / metabolism
  • Cell Line, Tumor
  • Cell Proliferation
  • Computational Biology
  • DNA Methylation
  • Databases, Genetic
  • Female
  • Gene Expression Profiling
  • Gene Silencing
  • Humans
  • In Vitro Techniques
  • Kaplan-Meier Estimate
  • Lung Neoplasms / genetics*
  • Lung Neoplasms / metabolism
  • Lung Neoplasms / mortality
  • Lung Neoplasms / pathology
  • Male
  • Neoplasm Invasiveness
  • Prognosis
  • Proportional Hazards Models
  • RNA, Messenger / metabolism
  • SEC Translocation Channels / genetics*
  • SEC Translocation Channels / metabolism
  • Up-Regulation

Substances

  • Biomarkers, Tumor
  • RNA, Messenger
  • SEC Translocation Channels
  • SEC61G protein, human