Prognostic significance of CircRNAs expression in oral squamous cell carcinoma

Oral Dis. 2023 May;29(4):1439-1453. doi: 10.1111/odi.14188. Epub 2022 Mar 27.

Abstract

This systematic review was aimed to comprehensively evaluate the clinicopathological and prognostic value of dysregulated expression of circRNAs in OSCC. The research was carried out by searching mainstream electronic databases including PubMed, Embase, Web of Science, Scopus, LILACS, and Cochrane Library to collect relevant studies on prognostic role of circRNAs in OSCC. Pooled hazard ratios (HRs) and odds ratios (ORs) with 95% confidence intervals (CIs) were calculated to assess the association between circRNAs expression, overall survival (OS), disease/recurrence/progression survival (DFS/RFS/PFS), and clinical parameters. This research included 1813 patients from 26 selected articles. The pooled HR values (95% CIs) in OS were 2.38 (1.92-2.93) for oncogenic circRNAs and 0.43 (0.28-0.66) for tumor-suppressor circRNAs, respectively, in DFS/RFS/PFS were 2.34 (1.73-3.17). The meta-analysis on clinicopathology features showed higher level of oncogenic circRNAs is related to advanced TNM stage, tumor stage, worse histological differentiation, positive lymph node and distant metastasis, while enforced expression of tumor-suppressor circRNAs is related to inferior TNM stage, tumor stage and lymphatic metastasis. In conclusion, our meta-analysis implies that circRNAs may be candidate biomarkers for the prognosis and clinicopathology of OSCC.

Keywords: circular RNA; clinical pathology; meta-analysis; oral squamous cell carcinoma; prognosis.

Publication types

  • Systematic Review
  • Meta-Analysis
  • Review

MeSH terms

  • Biomarkers, Tumor / genetics
  • Biomarkers, Tumor / metabolism
  • Carcinoma, Squamous Cell* / genetics
  • Head and Neck Neoplasms*
  • Humans
  • Mouth Neoplasms* / genetics
  • Mouth Neoplasms* / pathology
  • Neoplasm Recurrence, Local
  • Prognosis
  • RNA, Circular
  • Squamous Cell Carcinoma of Head and Neck

Substances

  • RNA, Circular
  • Biomarkers, Tumor