Excavating the pathogenic gene of breast cancer based on high throughput data of tumor and somatic reprogramming. Issue 17 (2nd September 2021)

• Record Type: Journal Article
• Authors: Duan, Lian; Wang, Zhendong; Zheng, Xin; Li, Junjian; Yin, Huamin; Tang, Weibo; Deng, Dejian; Liu, Hui; Wei, Jiayu; Jin, Yan; Liu, Feng; Shen, Jingling
• Is Part Of: Cell cycle. Volume 20:Issue 17(2021)
• Page Start: 1708
• Page End: 1722
• Publication Date: 2021-09-02
• Subjects: Breast cancer -- induced pluripotent stem cells -- gene expression -- protein -- clinicopathological features; Cell cycle -- Periodicals; 571.84377
• DOI: 10.1080/15384101.2021.1961410
• Languages: English
• ISSNs: 1538-4101

Abstract

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.