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

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 uids. 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 rst 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.

Exploring the evolving roles and clinical significance of circRNAs in head and neck squamous cell carcinoma

“…It demonstrates an AUC of 0.805, with a sensitivity of 0.823 and a specificity of 0.694 127 . Furthermore, circ0019201, circ0011773, and circ0122790 upregulated in the plasma of patients with LSCC, with AUC of 0.766, 0.864, and 0.908, respectively, suggesting their potential as predictive biomarkers for LSCC 128 . Moreover, circMORC3 downregulation in HSCC tissues and plasma, with an AUC of 0.767, suggests its potential as an early diagnostic biomarker for HNSCC 129 (Table 1 ).…”

Regulatory mechanisms and clinical applications of tumor-driven exosomal circRNAs in cancers

“…Likewise, high exosomal circMYC expression in the multiple myeloma patients' serums implied that the patients might have higher relapse rates and higher mortality rates [116]. In laryngeal squamous cell carcinoma, three serum exosomal circRNAs consisted of circ_0019201, circ_0011773 and circ_0122790 could be used as an early prediction model for occurrence of tumor [112]. II) Poor prognosis prediction: Through the detection of serum exosomes, the abnormal expression of some tumor-driven exosomal circRNAs also indicated the poor prognosis of cancer patients.…”

Roles and clinical application of exosomal circRNAs in the diagnosis and treatment of malignant tumors

“…Han et al [ 62 ] showed that plasma circ_0019201, circ_0011773, and circ_0122790 are potential biomarkers for predicting LSCC. Circ_0019201, circ_0011773, and circ_0122790 were found to be consistent with the training set.…”