Breast cancer (BC) remains a significant global health issue, necessitating advanced molecular approaches for early detection and prevention. This review delves into the roles of microRNAs (miRNAs) and circular RNAs (circRNAs) in BC, highlighting their potential as non-invasive biomarkers. Utilizing in silico tools and databases, we propose a novel methodology to establish mRNA/circRNA/miRNA axes possibly indicative of early detection and possible prevention.
View Article and Find Full Text PDFObjectives: Using electronic health records, we derived and internally validated a prediction model to estimate risk factors for long COVID and predict individual risk of developing long COVID.
Design: Population-based, retrospective cohort study.
Setting: Scotland.
Background: Antimicrobial resistance (AMR) is a serious public health issue which is exacerbated by increased inappropriate use of antibiotics for common eye infections. This cross sectional survey was to assess the appropriate use of antibiotics for eye infections in an ambulatory clinic in Ghana and possible determinants.
Method: The medical records of all patients who sought eye care between January 2022 to December 2022 and were prescribed antibiotics were extracted from the hospital's electronic database.
Although the miR-183/182/96 cluster is overexpressed in breast cancer (BC), little is known about its role in the development of pre-carcinogenic lesions which harbor disrupted adherens junctions (AJ) and may promote BC. Here, we used microRNA and RNA sequencing data from The Cancer Genome Atlas (TCGA) Breast Cancer project to investigate the relationship between the miR-183/182/96 cluster and AJ signaling in early-stage BC. We found that all members of the cluster are significantly overexpressed in early-stage BC, the AJ signaling pathway is enriched for genes down-regulated in early-stage BC, and the AJ signaling pathway is enriched for experimentally validated targets of the miR-183/182/96 cluster.
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