4.7 Article

Gene expression and prognosis of x-ray repair cross-complementing family members in non-small cell lung cancer

Journal

BIOENGINEERED
Volume 12, Issue 1, Pages 6210-6228

Publisher

TAYLOR & FRANCIS INC
DOI: 10.1080/21655979.2021.1964193

Keywords

X-ray repair cross-complementing (xrcc) gene family; lung adenocarcinoma (luad); lung squamous carcinoma (lusc); prognosis; bioinformatics

Funding

  1. '333 Project' of Jiangsu Province [BRA2020157]
  2. 'Six One Project,' Research Projects of High-level Medical Personnel of Jiangsu Province [LGY2019025]
  3. High-level Talent Selection and Training Project of the 16th Batch of `Six Talent Peak' in Jiangsu Province [WSN-245]
  4. Medical Scientific Research Foundation of Jiangsu Commission of Health [H2018083]
  5. Jiangsu Provincial Medical Youth Talent (Jiangsu Health Scientific Education) [3]
  6. 333 High-Level Talent Training Project [III-0719]
  7. High-Level Medical Talents Training Project [2016CZBJ042]

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The XRCC4/5/6 genes were found to be overexpressed and associated with poor prognosis in lung adenocarcinoma and lung squamous cell carcinoma. They were also identified as independent risk factors in lung adenocarcinoma. Genetic alterations, methylation, and immune cell infiltration further demonstrated the association of XRCC4/5/6 with poor prognosis. Additionally, KEGG-enriched and NHEJ pathways were shown to be associated with XRCC4/5/6.
The X-ray repair cross-complementing gene (XRCC) family participates in DNA damage repair and its dysregulation is associated with the development and progression of a variety of cancers. However, XRCCs have not been systematically studied in non-small cell lung cancer (NSCLC). Using The Cancer Genome Atlas (TCGA) and Oncomine databases, we compared the expression levels of XRCCs between NSCLC and normal tissues and performed survival analysis using the data from TCGA. The correlations of XRCCs with the clinical parameters were then analyzed using UCSC Xena. Genetic alterations in XRCCs in NSCLC and their effects on the prognosis of patients were presented using cBioPortal. SurvivalMeth was used to explore the differentially methylated sites associated with NSCLC and their effect on prognosis. Next, the immunological correlations of XRCCs expression level were analyzed using TIMER 2.0. Finally, GeneMANIA was used to visualize and analyze the functionally relevant genes, while Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) were used for functional and pathway enrichment analyses of prognostic genes. Our results revealed that XRCCs were overexpressed in lung adenocarcinoma (LUAD) and lung squamous cell carcinoma (LUSC). Univariate and multivariate Cox analyses showed that XRCC4/5/6 were independent risk factors for LUAD. Additionally, genetic alterations, methylation, and immune cell infiltration demonstrated an association between XRCC4/5/6 and poor prognosis in LUAD. Finally, the KEGG-enriched and non-homologous end-joining (NHEJ) pathways were shown to be associated with XRCC4/5/6. In conclusion, our study demonstrated that XRCC4/5/6 could be used as diagnostic and prognostic biomarkers for LUAD.

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