Circular Noncoding RNA hsa_circ_0003570 as a Prognostic Biomarker for Hepatocellular Carcinoma

Genes (Basel). 2022 Aug 19;13(8):1484. doi: 10.3390/genes13081484.

Abstract

Circular RNAs (circRNAs) are potential biomarkers owing to their stability, tissue specificity, and abundance. This study aimed to evaluate the clinical significance of hsa_circ_0003570 expression and to investigate its potential as a biomarker in hepatocellular carcinoma (HCC). We evaluated hsa_circ_0003570 expression in 121 HCC tissue samples, its association with clinicopathological characteristics, and overall and progression-free survival. Hsa_circ_0003570 expression was downregulated in HCC tissues. Low hsa_circ_0003570 expression was more common in tumors larger than 5 cm (odds ratio (OR), 6.369; 95% confidence interval (CI), 2.725−14.706; p < 0.001), vessel invasion (OR, 5.128; 95% CI, 2.288−11.494; p < 0.001); advanced tumor-node metastasis stage (III/IV; OR, 4.082; 95% CI, 1.866−8.929; p < 0.001); higher Barcelona Clinic Liver Cancer stage (B/C; OR, 3.215; 95% CI, 1.475−6.993; p = 0.003); and higher AFP (>200 ng/mL; OR, 2.475; 95% CI, 1.159−5.291; p = 0.018). High hsa_circ_0003570 expression was an independent prognostic factor for overall survival (hazard ratio (HR), 0.541; 95% confidence interval (CI), 0.327−0.894; p = 0.017) and progression-free survival (HR, 0.633; 95% CI, 0.402−0.997; p = 0.048). Hsa_circ_0003570 is a potential prognostic biomarker in patients with HCC, and further validation of hsa_circ_0003570 is needed.

Keywords: biomarker; circular RNA; epigenetics; hepatocellular carcinoma; prognosis; progression; survival.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Biomarkers, Tumor / genetics
  • Biomarkers, Tumor / metabolism
  • Carcinoma, Hepatocellular* / pathology
  • Humans
  • Liver Neoplasms* / pathology
  • Prognosis
  • RNA / genetics
  • RNA, Circular / genetics
  • RNA, Untranslated

Substances

  • Biomarkers, Tumor
  • RNA, Circular
  • RNA, Untranslated
  • RNA

Grants and funding

This work was supported by the National Research Foundation (NRF) grants funded by the Korean government (grant numbers 2017M3A9G8083382, 2019R1A2C1083892, 2021R1A5A2021614, and 2019R1F1A1060878 (Ministry of Science and ICT)).