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Comprehensive Transcriptome Analysis Expands LncRNA Functional Profiles in Breast Cancer

Overview
Journal Int J Mol Sci
Publisher MDPI
Date 2024 Aug 10
PMID 39126025
Authors
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Abstract

Breast cancer is a heterogeneous disease that arises as a multi-stage process involving multiple cell types. Patients diagnosed with the same clinical stage and pathological classification may have different prognoses and therapeutic responses due to alterations in molecular genetics. As an essential marker for the molecular subtyping of breast cancer, long non-coding RNAs (lncRNAs) play a crucial role in gene expression regulation, cell differentiation, and the maintenance of genomic stability. Here, we developed a modular framework for lncRNA identification and applied it to a breast cancer cohort to identify novel lncRNAs not previously annotated. To investigate the potential biological function, regulatory mechanisms, and clinical relevance of the novel lncRNAs, we elucidated the genomic and chromatin features of these lncRNAs, along with the associated protein-coding genes and putative enhancers involved in the breast cancer regulatory networks. Furthermore, we uncovered that the expression patterns of novel and annotated lncRNAs identified in breast cancer were related to the hormone response in the PAM50 subtyping criterion, as well as the immune response and progression states of breast cancer across different immune cells and immune checkpoint genes. Collectively, the comprehensive identification and functional analysis of lncRNAs revealed that these lncRNAs play an essential role in breast cancer by altering gene expression and participating in the regulatory networks, contributing to a better insight into breast cancer heterogeneity and potential avenues for therapeutic intervention.

References
1.
Bergmaier P, Weth O, Dienstbach S, Boettger T, Galjart N, Mernberger M . Choice of binding sites for CTCFL compared to CTCF is driven by chromatin and by sequence preference. Nucleic Acids Res. 2018; 46(14):7097-7107. PMC: 6101590. DOI: 10.1093/nar/gky483. View

2.
Sun K, Zhao Y, Wang H, Sun H . Sebnif: an integrated bioinformatics pipeline for the identification of novel large intergenic noncoding RNAs (lincRNAs)--application in human skeletal muscle cells. PLoS One. 2014; 9(1):e84500. PMC: 3882232. DOI: 10.1371/journal.pone.0084500. View

3.
Blows F, Driver K, Schmidt M, Broeks A, van Leeuwen F, Wesseling J . Subtyping of breast cancer by immunohistochemistry to investigate a relationship between subtype and short and long term survival: a collaborative analysis of data for 10,159 cases from 12 studies. PLoS Med. 2010; 7(5):e1000279. PMC: 2876119. DOI: 10.1371/journal.pmed.1000279. View

4.
Nishana M, Ha C, Rodriguez-Hernaez J, Ranjbaran A, Chio E, Nora E . Defining the relative and combined contribution of CTCF and CTCFL to genomic regulation. Genome Biol. 2020; 21(1):108. PMC: 7212617. DOI: 10.1186/s13059-020-02024-0. View

5.
Szempruch A, Guttman M . Linking Protein and RNA Function within the Same Gene. Cell. 2017; 168(5):753-755. DOI: 10.1016/j.cell.2017.02.014. View