The Diagnostic Power of Circulating miR-1246 in Screening Cancer: An Updated Meta-analysis

Abstract

Background. MicroRNA-1246 (miR-1246), an oncomiR that regulates the expression of multiple cancer-related genes, has been attracted and studied as a promising indicator of various tumors. However, diverse conclusions on diagnostic accuracy have been shown due to the small sample size and limited studies included. This meta-analysis is aimed at systematically assessing the performance of extracellular circulating miR-1246 in screening common cancers. Methods. We searched the PubMed/MEDLINE, Web of Science, Cochrane Library, and Google Scholar databases for relevant studies until November 28, 2022. Then, the summary receiver operating characteristic (SROC) curves were drawn and calculated area under the curve (AUC), diagnostic odds ratio (DOR), sensitivity, and specificity values of circulating miR-1246 in the cancer surveillance. Results. After selection and quality assessment, 29 eligible studies with 5914 samples (3232 cases and 2682 controls) enrolled in the final analysis. The pooled AUC, DOR, sensitivity, and specificity of circulating miR-1246 in screening cancers were 0.885 (95% confidence interval (CI): 0.827-0.892), 27.7 (95% CI: 17.1-45.0), 84.2% (95% CI: 79.4-88.1), and 85.3% (95% CI: 80.5-89.2), respectively. Among cancer types, superior performance was noted for breast cancer ( AUC = 0.950 , DOR = 98.5 ) compared to colorectal cancer ( AUC = 0.905 , DOR = 47.6 ), esophageal squamous cell carcinoma ( AUC = 0.757 , DOR = 8.0 ), hepatocellular carcinoma ( AUC = 0.872 , DOR = 18.6 ), pancreatic cancer ( AUC = 0.767 , DOR = 12.3 ), and others ( AUC = 0.887 , DOR = 27.5 , P = 0.007 ). No significant publication bias in DOR was observed in the meta-analysis (funnel plot asymmetry test with P = 0.652 ; skewness value = 0.672 , P = 0.071 ). Conclusion. Extracellular circulating miR-1246 may serve as a reliable biomarker with good sensitivity and specificity in screening cancers, especially breast cancer.

miR-125 in Breast Cancer Etiopathogenesis: An Emerging Role as a Biomarker in Differential Diagnosis, Regenerative Medicine, and the Challenges of Personalized Medicine

“…The search for predictive biomarkers useful to draw further distinctions among BC subtypes is an active field of research that includes genomic, proteomic and/or machine learning approaches. In recent years, epigenetic biomarkers have gained growing attention, especially micro-RNAs (miRNA or miR) that have been predicted (and in some cases, validated) as very promising BC markers [ 49 , 50 , 51 ] for early detection as well [ 52 , 53 , 54 ]; notably, some studies also concentrated on circulating miR, opening the way towards a minimally invasive diagnostic approach [ 55 , 56 , 57 , 58 ].…”