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Article

Comprehensive Transcriptome Analysis Expands lncRNA Functional Profiles in Breast Cancer

State Key Laboratory of Digital Medical Engineering, School of Biological Science and Medical Engineering, Southeast University, Nanjing 211189, China
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Author to whom correspondence should be addressed.
Int. J. Mol. Sci. 2024, 25(15), 8456; https://doi.org/10.3390/ijms25158456
Submission received: 9 July 2024 / Revised: 31 July 2024 / Accepted: 1 August 2024 / Published: 2 August 2024
(This article belongs to the Special Issue RNA Biology and Regulation)

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.
Keywords: long non-coding RNA; functional genome; molecular subtyping of breast cancer long non-coding RNA; functional genome; molecular subtyping of breast cancer

Share and Cite

MDPI and ACS Style

Zhu, W.; Huang, H.; Hu, Z.; Gu, Y.; Zhang, R.; Shu, H.; Liu, H.; Sun, X. Comprehensive Transcriptome Analysis Expands lncRNA Functional Profiles in Breast Cancer. Int. J. Mol. Sci. 2024, 25, 8456. https://doi.org/10.3390/ijms25158456

AMA Style

Zhu W, Huang H, Hu Z, Gu Y, Zhang R, Shu H, Liu H, Sun X. Comprehensive Transcriptome Analysis Expands lncRNA Functional Profiles in Breast Cancer. International Journal of Molecular Sciences. 2024; 25(15):8456. https://doi.org/10.3390/ijms25158456

Chicago/Turabian Style

Zhu, Wenyong, Hao Huang, Zixi Hu, Yu Gu, Rongxin Zhang, Huiling Shu, Hongjia Liu, and Xiao Sun. 2024. "Comprehensive Transcriptome Analysis Expands lncRNA Functional Profiles in Breast Cancer" International Journal of Molecular Sciences 25, no. 15: 8456. https://doi.org/10.3390/ijms25158456

APA Style

Zhu, W., Huang, H., Hu, Z., Gu, Y., Zhang, R., Shu, H., Liu, H., & Sun, X. (2024). Comprehensive Transcriptome Analysis Expands lncRNA Functional Profiles in Breast Cancer. International Journal of Molecular Sciences, 25(15), 8456. https://doi.org/10.3390/ijms25158456

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