Publication: Elucidation Of Pre-Microrna Profiles Of Breast Cancers For Pathogenesis And Prognostic Significance
Loading...
Date
2025-09
Authors
Wu, Sen
Journal Title
Journal ISSN
Volume Title
Publisher
Abstract
Breast cancer is classified into hormone receptor-positive luminal breast cancer (lbc), human epidermal growth factor receptor 2-positive breast cancer, and triple-negative breast cancer (tnbc). Precursor micrornas (pre-micrornas), typically form hairpin structures with a length from 65 to 80 bases, are shown to play crucial roles in breast cancer carcinogenesis. It can be hypothesized that pre-micrornas could be identified through total rna sequencing (rna-seq). To test this hypothesis, a novel algorithm named b-mer was designed and validated using the dataset prjna749047. The results demonstrated that b-mer runs efficiently but also provides superior annotation of pre-micrornas compared to the traditional "mapping-to-reference-genome" method. 907 breast cancer samples from mybrca dataset were profiled using b-mer and comparisons were made between pre-micrornas profiles and mature microrna profiles obtained from the cancer genome atlas (tcga) dataset. Ten differentially expressed pre-micrornas were identified commonly in both mybrca and tcga. A four pre-micrornas signature was constructed and three target genes (mybl2, fam3d, b3gnt5) were validated as causally related to breast cancer in both japanese and european groups. In conclusion, b-mer facilitates the profiling of pre-micrornas directly from raw total rna-seq data of breast cancer, and identifies a list of genes and pre-micrornas that are pivotal for the development and prognosis of the disease
Description
Keywords
Elucidation Pre-Microrna Profiles Breast Cancers Pathogenesis