Plasma cell-free circRNAs panel act as fingerprint predicts the occurrence of laryngeal squamous cell carcinoma

Aging (Albany NY). 2021 Jul 1;13(13):17328-17336. doi: 10.18632/aging.203215. Epub 2021 Jul 1.

Abstract

Background: Circular RNAs (circRNAs) have recently emerged as a new class of RNAs, highly enriched in the human tissues and very stable within cells, exosomes and body fluids. In this study, we aimed to screen the plasma cell-free derived circRNAs in laryngeal squamous cell carcinoma (LSCC) and investigate whether these circRNAs could predicted LSCC as potential biomarkers.

Methods: The circRNA microarray was employed with three samples in each group to screen the dysregulated circRNAs isolated from plasma samples. The top 20 circRNAs were first selected as candidates with the upregulated level in the plasma of LSCC.

Results: Further validation found that only circ_0019201, circ_0011773 and circ_0122790 was consistent with training set. The ROC curve also revealed a high diagnostic ability an area under ROC curve value (AUC) for single circRNA and combined. The AUC for circ_0019201, circ_0011773 and circ_0122790 and the combined was 0.933, 0.908, 0.965 and 0.990 in training set. For the validation set, the AUC was 0.766, 0.864, 0.908 and 0.951. The three circRNAs were further investigated with stable expression in human plasma samples.

Conclusions: The plasma derived circ_0019201, circ_0011773 and circ_0122790 might be the potential biomarker for predicting the LSCC.

Keywords: circRNA; laryngeal squamous cell carcinoma; plasma; receiver operating characteristic curve; risk score function.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Aged
  • Biomarkers, Tumor
  • Carcinoma, Squamous Cell / genetics*
  • Case-Control Studies
  • Cell-Free Nucleic Acids
  • DNA Fingerprinting / methods*
  • Female
  • Humans
  • Laryngeal Neoplasms / genetics*
  • Male
  • Microarray Analysis
  • Middle Aged
  • Oligonucleotide Array Sequence Analysis
  • Predictive Value of Tests
  • RNA, Circular / genetics*
  • ROC Curve
  • Reproducibility of Results
  • Retrospective Studies

Substances

  • Biomarkers, Tumor
  • Cell-Free Nucleic Acids
  • RNA, Circular