Abstract

Cancer predisposition genes (CPGs) are a class of cancer genes in which germline variants lead to increased risk of cancer. Research has revealed that copy number variation (CNV) may be linked to cancer susceptibility in CPGs. In this pan-cancer analysis, we explored the relationship between somatic CNV and gene expression changes in CPGs. Based on curated 827 human CPGs from literature, we firstly identified 729 CPGs with precise CNV information from 5067 tumor samples using TCGA CNV data. Among them, 128 CPGs tended to have more frequent copy number losses (CNLs) compared with copy number gains (CNGs). Then by correlating these CNV data with TCGA gene expression data, we obtained 49 CPGs with concordant CNLs and gene down-regulation. Intriguingly, five CPGs showed concordance between CNL and down-regulation in 50 or more tumor samples: MTAP (216 samples), PTEN (143), MCPH1 (86), SMAD4 (63), and MINPP1 (51), which may represent the recurrent driving force for gene expression change during oncogenesis. Moreover, network analysis revealed that these 49 CPGs were tightly connected. In summary, this study provides the first observation of concordance between CNLs and down-regulation of CPGs in pan-cancer, which may help better understand the CPG biology in tumorigenesis and cancer progression.

Highlights

  • To investigate somatic CNVs information in CPGs, we downloaded 827 human CPGs (724 protein-coding, 23 non-coding and 80 unknown type genes) from dbCPG, a database focused on human cancer predisposition genes based on literature[2]

  • We intersected all the 827 human CPGs to all TCGA CNVs data derived from COSMIC9

  • We found that some CPGs exhibit concordance between copy number loss (CNL) and down-regulation in multiple cancer types, which consists with previous studies[1]

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Summary

Objectives

In the present study, using somatic copy number variation (CNV) and gene expression data from The Cancer Genome Atlas (TCGA) and the human CPGs with germline variants from dbCPG, we aimed to investigate the systematic relationship of somatic CNVs and gene expression in cancer predisposition.

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