Overexpression of MYEOV predicting poor prognosis in patients with pancreatic ductal adenocarcinoma

Cell Cycle. 2020 Jul;19(13):1602-1610. doi: 10.1080/15384101.2020.1757243. Epub 2020 May 18.

Abstract

Myeloma Overexpressed (MYEOV) is closely related to cell growth and differentiation in many cancer types. However, the role of this protein-coding gene in pancreatic ductal adenocarcinoma (PDAC) has rarely been investigated. In this study, we demonstrated that MYEOV was higher expressed in tumor tissues compared with adjacent normal pancreas tissues (ANPTs) both in mRNA and protein levels. We also performed bioinformatic analysis and found high MYEOV expression was positively correlated with tumor differentiation (P = 0.004), lymph node metastasis (P = 0.016) and TNM stage (P = 0.001). Moreover, Kaplan-Meier and Cox proportional-hazards analyses indicated that high MYEOV expression was significantly associated with poor survival in patients with PDAC and that MYEOV was an independent prognostic factor for overall survival in patients with PDAC. Geneset Enrichment Analysis (GSEA) result showed that high expression of MYEOV facilitates glycolysis of tumor cells in PDAC and validated in cellular assays. In conclusion, our results suggest that MYEOV acts as an oncogene in PDAC and can therefore serve as a biomarker for the prognosis of patients with PDAC.

Keywords: MYEOV; Pancreatic cancer; glycolysis.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adenocarcinoma / genetics
  • Adenocarcinoma / metabolism*
  • Adenocarcinoma / pathology
  • Aged
  • Carcinoma, Pancreatic Ductal / genetics
  • Carcinoma, Pancreatic Ductal / metabolism*
  • Carcinoma, Pancreatic Ductal / pathology
  • Cell Line, Tumor
  • Databases, Genetic
  • Female
  • Gene Expression Regulation, Neoplastic
  • Glycolysis
  • Humans
  • Male
  • Middle Aged
  • Multivariate Analysis
  • Neoplasm Staging
  • Pancreatic Neoplasms / genetics
  • Pancreatic Neoplasms / metabolism*
  • Pancreatic Neoplasms / pathology
  • Prognosis
  • Proportional Hazards Models
  • Proto-Oncogene Proteins / genetics
  • Proto-Oncogene Proteins / metabolism*
  • RNA, Messenger / genetics
  • RNA, Messenger / metabolism
  • Risk Factors

Substances

  • MYEOV protein, human
  • Proto-Oncogene Proteins
  • RNA, Messenger

Grants and funding

This work was supported by the Shanghai municipal health commission [ZY (2018-2020)-FWTX-1105].