[A comparative analysis of the changes of transcriptome after fusion of esophageal cancer cells with human umbilical mesenchymal stem cells]

Zhonghua Zhong Liu Za Zhi. 2014 Oct;36(10):726-32.
[Article in Chinese]

Abstract

Objective: To compare the transcriptome of esophageal cancer cells (EC9706), human mesenchymal stem cells (MSCs), and after fusion of esophageal cancer cells with MSCs, and to further study their different expression profiles and the changes of their signaling pathways.

Methods: We examined the gene expression profiles of these cells with transcriptome microarray using LIMMA package and several web-based applications, such as DAVID, ToppGene and MSigDB. The resulting sets of differentially expressed genes (DEGs) were comprehensively analyzed to identify the pathways and their changes after the cell fusion.

Results: A total of 4 548 significantly DEGs among the three cell lines were found by LIMMA. Three functional annotation web tools predicted that DNA damage repair, cell cycle arrest and apoptosis pathways were enriched. Total DEGs were mapped to the canonic pathways with KEGGanim which depicted that the core genes of DNA damage repair, cell cycle arrest and pro-apoptosis were up-regulated in fusion cells, and they mightbe combined to respond the fusion-induced damage stress. The up-regulation of suppressive factor DUSP6 might feedback inhibit the MAPK signaling pathway in the fusion cells, too.

Conclusions: Transcriptome analysis suggests that hMSCs and EC9706 cell fusion may inhibit growth of EC cells by induction of pro-apoptotic signaling and DUSP6 negative feedback inhibition mechanism. In addition, the changes of immune regulation-related and differentiation-related genes indicate that the fusion cells inherited certain immune-suppressive function from the stem cells.

Publication types

  • Comparative Study

MeSH terms

  • Apoptosis
  • Cell Differentiation
  • Cell Fusion
  • Esophageal Neoplasms / metabolism*
  • Gene Expression Profiling
  • Humans
  • Mesenchymal Stem Cells / metabolism*
  • Signal Transduction
  • Transcriptome
  • Up-Regulation