Reduced expression of ppGalNAc-T4 promotes proliferation of human breast cancer cells.
Qiong WuXueqin XieKeren ZhangBachir NiangYimin LiuCheng ZhangTianmiao HuangHuang HuangWenli LiJianing ZhangYubo LiuPublished in: Cell biology international (2020)
Breast cancer, one of the most frequently diagnosed and aggressive malignancies, is the major cause of cancer-related death greatly threatening women health. Polypeptide N-acetylgalactosaminyltransferase 4 (ppGalNAc-T4), responsible for the initial step of mucin-type O-glycosylation, has been reported to be implicated in diverse types of human tumors. However, the biological role of ppGalNAc-T4 in breast cancer is still undetermined. In this study, we investigate the effects and mechanism of ppGalNAc-T4 to breast cancer cell proliferation. From analysis of high throughput RNA sequencing datasets of Gene Expression Omnibus and ArrayExpress, a positive correlation between ppGalNAc-T4 and the recurrence-free survival was observed in multigroup of human breast cancer datasets. Moreover, transcriptomes analysis using RNA-sequencing in MCF7 cells revealed that cell cycle-related genes induced the effects of ppGalNAc-T4 on breast cancer cell proliferation. Additionally, investigations showed that ppGalNAc-T4 impaired cell proliferation in MCF-7 and MDA-MB-231 breast cells. Furthermore, our results suggested that the ppGalNAc-T4 knockout activated Notch signaling pathway and enhanced cell proliferation. Collectively, our data indicated that ppGalNAc-T4 affected the proliferation of human breast cancer cells, which appears to be a novel target for understanding the underlying molecular mechanism of breast cancer.
Keyphrases
- cell proliferation
- cell cycle
- breast cancer cells
- endothelial cells
- signaling pathway
- pi k akt
- gene expression
- induced apoptosis
- single cell
- cell cycle arrest
- free survival
- high throughput
- induced pluripotent stem cells
- pluripotent stem cells
- healthcare
- mental health
- poor prognosis
- public health
- epithelial mesenchymal transition
- cell death
- skeletal muscle
- machine learning
- long non coding rna
- diabetic rats
- oxidative stress
- pregnancy outcomes
- polycystic ovary syndrome
- insulin resistance
- climate change