m6A RNA methylation regulators were associated with the malignancy and prognosis of ovarian cancer

Bioengineered. 2021 Dec;12(1):3159-3176. doi: 10.1080/21655979.2021.1946305.

Abstract

N6-methyladenosine (m6A) RNA methylation regulators play a regulatory role in tumor pathogenesis and development. However, the role of m6A regulator genes in ovarian cancer (OC) has not been fully elucidated. This study aims to investigate the mRNA expressions, clinicopathological features, and prognostic values of m6A regulators in OC. Here, we demonstrate that the 17 m6A RNA methylation regulators are differentially expressed in ovarian cancer and normal tissues. By using consensus clustering, all ovarian cancer patients can be divided into two subgroups (cluster 1 and 2) based on the expression of 17 m6A RNA methylation regulators. Using Gene Set Enrichment Analysis, we identified that cluster 1 was most connected to oxidative phosphorylation pathways. Regression models identified that prognosis is associated with HNRNPA2B1, KIAA1429, and WTAP. qRT-PCR result show that the expression trends of HNRNPA2B1 and KIAA1429 are consistent with the predicted results. Multivariate Cox regression analysis results show that the risk score was an independent predictive factor in OV. The overall survival of high-risk patients was significantly shorter than that of low-risk patients. ROC curve analysis showed that the prognostic signature precisely predicted the 5-year survival of OV patients. A nomogram was developed to predict each patient's survival probability and well calibrated and showed a satisfactory discrimination. Dendritic fraction, macrophage fraction, and neutrophil fraction showed higher fraction in high-risk patients. In conclusion, m6A RNA methylation regulators are vital participants in ovarian cancer pathology, and three-gene mRNA levels are valuable factors for prognosis predictions.

Keywords: Ovarian cancer; immune cells infiltration; m6A; prognosis; tcga.

MeSH terms

  • Adenosine / analogs & derivatives*
  • Adenosine / genetics
  • Adenosine / metabolism
  • Databases, Genetic
  • Female
  • Gene Regulatory Networks / genetics
  • Humans
  • Methylation
  • Neoplasm Invasiveness / genetics
  • Ovarian Neoplasms* / diagnosis
  • Ovarian Neoplasms* / genetics
  • Ovarian Neoplasms* / mortality
  • Ovarian Neoplasms* / pathology
  • Prognosis
  • RNA / genetics
  • RNA / metabolism*
  • Transcriptome / genetics

Substances

  • RNA
  • N-methyladenosine
  • Adenosine

Grants and funding

The authors have no funding to report.