PARP1 as a prognostic biomarker for human cancers: a meta-analysis

Biomark Med. 2021 Nov;15(16):1563-1578. doi: 10.2217/bmm-2020-0891. Epub 2021 Oct 15.

Abstract

Aim: A comprehensive meta-analysis was carried out to evaluate the association between high PARP1 expression and clinical outcomes in diverse types of cancers. Materials & methods: The electronic databases for all articles about PARP1 expression and cancers were searched. Additionally, bioinformatics analysis was utilized to validate the results of the meta-analysis. Results: Fifty-two studies with a total of 7140 patients were included in the current meta-analysis. High PARP1 expression was found to be significantly associated with poor overall survival and recurrence in various cancers, which were further strengthened and complemented by the results of bioinformatic analysis. Furthermore, increased PAPR1 expression was also related to clinicopathological features. Conclusion: Our findings confirmed that PARP1 might be a promising biomarker for prognosis in human cancers.

Keywords: PARP1; cancer; meta-analysis; prognosis.

Publication types

  • Meta-Analysis
  • Research Support, Non-U.S. Gov't
  • Systematic Review

MeSH terms

  • Biomarkers, Tumor / biosynthesis*
  • Disease-Free Survival
  • Gene Expression Regulation, Enzymologic*
  • Gene Expression Regulation, Neoplastic*
  • Humans
  • Neoplasm Proteins / biosynthesis*
  • Neoplasms* / enzymology
  • Neoplasms* / mortality
  • Poly (ADP-Ribose) Polymerase-1 / biosynthesis*
  • Survival Rate

Substances

  • Biomarkers, Tumor
  • Neoplasm Proteins
  • PARP1 protein, human
  • Poly (ADP-Ribose) Polymerase-1