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Article Dans Une Revue Epigenomics Année : 2020

Multi-omics analysis to identify driving factors in colorectal cancer

Xi Xu
  • Fonction : Auteur
Chaoju Gong
  • Fonction : Auteur
Yanyan Hu
  • Fonction : Auteur
Hong Liu
  • Fonction : Auteur
Zejun Fang
  • Fonction : Auteur

Résumé

Aim: We aim to identify driving genes of colorectal cancer (CRC) through multi-omics analysis. Materials & methods: We downloaded multi-omics data of CRC from The Cancer Genome Atlas dataset. Integrative analysis of single-nucleotide variants, copy number variations, DNA methylation and differentially expressed genes identified candidate genes that carry CRC risk. Kernal genes were extracted from the weighted gene co-expression network analysis. A competing endogenous RNA network composed of CRC-related genes was constructed. Biological roles of genes were further investigated in vitro. Results: We identified LRRC26 and REP15 as novel prognosis-related driving genes for CRC. LRRC26 hindered tumorigenesis of CRC in vitro. Conclusion: Our study identified novel driving genes and may provide new insights into the molecular mechanisms of CRC.

Dates et versions

hal-02890479 , version 1 (06-07-2020)

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Xi Xu, Chaoju Gong, Yunfeng Wang, Yanyan Hu, Hong Liu, et al.. Multi-omics analysis to identify driving factors in colorectal cancer. Epigenomics, 2020, ⟨10.2217/epi-2020-0073⟩. ⟨hal-02890479⟩
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