Identification of stage-specific differentially expressed genes and SNPs in gastric cancer employing RNA-Seq based transcriptome profiling

Genomics. 2022 Jan;114(1):61-71. doi: 10.1016/j.ygeno.2021.11.032. Epub 2021 Nov 25.

Abstract

We analysed over 400 million reads obtained from Illumina sequencing of six pairs of libraries representing two each of stage I, II, and III gastric tumors and corresponding normal tissues to identify differentially expressed genes (DEGs), single nucleotide polymorphisms (SNPs), and transcription factors (TFs). In total, 2207 DEGs including 972 upregulated genes and 1235 downregulated genes were detected. Of these, several stage-specific signature genes were identified. The protein-protein interaction networks involving DEGs and TFs were constructed. The KEGG pathway analysis of SNP harbouring genes revealed their involvement in different cancer related pathways like apoptosis, mTOR pathway, and MAPK signaling pathway. The SNP analysis showed implication of host genes in GO categories like immune system process, regulation of signaling, response to stress, and transport. A biased chromosomal distribution of DEGs and SNP harbouring genes was observed. Our study would provide further insights into the complex regulatory mechanisms operating during gastric tumorigenesis.

Keywords: Biomarkers; Differentially expressed genes; Gastric cancer; RNA-Seq; SNPs; Transcription factors; Transcriptome profiling.

MeSH terms

  • Gene Expression Profiling
  • Gene Regulatory Networks
  • Humans
  • Polymorphism, Single Nucleotide
  • RNA-Seq
  • Stomach Neoplasms* / genetics
  • Transcriptome