What question did this study set out to answer?

This analysis aims to evaluate the diagnostic accuracy of circRNAs for various gastrointestinal cancers.

April 25, 20260 citations

Diagnostic Accuracy of CircRNAs for Detecting Gastrointestinal Cancers: An Updated Meta-analysis.

JBJila BahramiradKurdistan University of Medical Sciences YMYousef MoradiUniversity of Massachusetts Lowell GMGhobad MoradiKurdistan University of Medical Sciences

Key Points

This analysis aims to evaluate the diagnostic accuracy of circRNAs for various gastrointestinal cancers.
Conducted an updated meta-analysis of circRNA studies for gastrointestinal cancers.
Assessed diagnostic performance using area under the curve (AUC) measurements.
Included analyses for hepatocellular carcinoma, esophageal cancer, gastric cancer, pancreatic cancer, and colorectal cancer.
CircRNAs demonstrated good diagnostic accuracy for hepatocellular carcinoma (AUC 0.83) and esophageal cancer (AUC 0.81).
Moderate-to-good accuracy was noted for gastric cancer (AUC 0.79) and pancreatic cancer (AUC 0.78).
CircRNAs showed limited accuracy for colorectal cancer (AUC 0.68), indicating a need for further validation.

Abstract

CircRNAs exhibit good diagnostic accuracy for hepatocellular carcinoma (AUC 0.83) and esophageal cancer (AUC 0.81), moderate-to-good accuracy for gastric cancer (AUC 0.79) and pancreatic cancer (AUC 0.78), but limited accuracy for colorectal cancer (AUC 0.68), highlighting their potential as non-invasive biomarkers, particularly for HCC and EC, with further validation needed to enhance clinical utility.

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