Circulating cell-free circRNA panel predicted tumorigenesis and development of colorectal cancer

5Citations
Citations of this article
6Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

Background: Colorectal cancer (CRC) is reported with high morbidity and mortality. Currently, the sensitivity of diagnostic markers for colorectal cancer is low. Therefore, further exploration of new plasma diagnostic markers for early detection of colorectal cancer is of great value. We aimed to explore potential circRNAs in plasma as biomarkers for early diagnosis of CRC. Methods: We employed the circRNA microarray to investigate dysregulated circRNAs in plasma samples of CRC patients, colorectal adenoma patients (CRA), and healthy controls. Through in-depth analysis, significantly differentially expressed circRNAs were screened as candidate targets. Results: Eight circRNAs (hsa_circ_104885, hsa_circ_100185, hsa_circ_103171, hsa_circ_001978, hsa_circ_105039, hsa_circ_103627, hsa_circ_101717, and hsa_circ_104192) were obtained as candidate circRNAs with upregulation in CRC comparing with both CRA and healthy control. Through detecting the plasma expression levels of eight candidate targets, we identified three circRNA (hsa_circ_001978, hsa_circ_105039, and hsa_circ_103627) with increased level which were consistent with the microarray results in training set. Further validation found the circRNA panel was consistent with training set. The ROC curve also revealed a high diagnostic ability of hsa_circ_001978, hsa_circ_105039, and hsa_circ_103627 in predicted the CRC from CRA patients (AUC = 0.966) as well as healthy controls (AUC = 0.969). Conclusion: Our data suggest that hsa_circ_001978, hsa_circ_105039, and hsa_circ_103627 might be a CRC-specific biomarker for early diagnosis.

Cite

CITATION STYLE

APA

Qi, L., Pan, Y., Tang, M., & Chen, X. (2022). Circulating cell-free circRNA panel predicted tumorigenesis and development of colorectal cancer. Journal of Clinical Laboratory Analysis, 36(5). https://doi.org/10.1002/jcla.24431

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free