Excavating the pathogenic gene of breast cancer based on high throughput data of tumor and somatic reprogramming

Cell Cycle. 2021 Sep;20(17):1708-1722. doi: 10.1080/15384101.2021.1961410. Epub 2021 Aug 13.

Abstract

Breast cancer (BC) is one of the most common malignancies in female, and has a high mortality rate. The mechanisms of tumorigenesis and reprogramming of somatic cells have a certain degree of similarity. Here, we focus on the relationship between gene expression, signaling pathways and functions in BC compared to induced pluripotent stem cells (iPSCs). We first identified differentially expressed genes (DEGs) common to BC and iPSCs in datasets from GEO and TCGA. We found 22 DEGs that were significantly associated with clinicopathological features and prognosis by performing Kaplan-Meier survival analysis and one-way ANOVA. The results of protein mass spectrometry of tumor stem cells (Mcfips) demonstrated that the proteins encoded by 8 of these DEGs were also differentially expressed. The functional enrichment analysis showed that most of the 30 DEGs were related to collagen and chromatin functions. Our results might offer targets for future studies into the mechanisms underlying tumor occurrence and progression, and our studies could provide valuable data for both basic research and clinical applications of BC.

Keywords: Breast cancer; clinicopathological features; gene expression; induced pluripotent stem cells; protein.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Biomarkers, Tumor / genetics
  • Breast Neoplasms* / pathology
  • Carcinogenesis / genetics
  • Computational Biology / methods
  • Female
  • Gene Expression Profiling / methods
  • Gene Expression Regulation, Neoplastic / genetics
  • Humans
  • Kaplan-Meier Estimate

Substances

  • Biomarkers, Tumor

Grants and funding

This study was funded by financial assistance under the National Natural Science Foundation of China (grant no. 81701350, 81772970, 30900413, 81371617, 31671252), China Postdoctoral Science Foundation (grant no. 2016M600259), Heilongjiang Provincial Postdoctoral Science Foundation (grant no. LBH-Z16145), the Fundamental Research Funds for the Provincial Universities (grant no. 2017JCZX39, 2017JCZX45), University Nursing Program for Young Scholars with Creative Talents in Heilongjiang Province (UNPYSCT-2018077).