دورية أكاديمية

Landscape of MicroRNA Regulatory Network Architecture and Functional Rerouting in Cancer.

التفاصيل البيبلوغرافية
العنوان: Landscape of MicroRNA Regulatory Network Architecture and Functional Rerouting in Cancer.
المؤلفون: Hua, Xu, Li, Yongsheng, Pentaparthi, Sairahul R, McGrail, Daniel J, Zou, Raymond, Guo, Li, Shrawat, Aditya, Cirillo, Kara M, Li, Qing, Bhat, Akshay, Xu, Min, Qi, Dan, Singh, Ashok, McGrath, Francis, Andrews, Steven, Aung, Kyaw Lwin, Das, Jishnu, Zhou, Yunyun, Lodi, Alessia, Mills, Gordon B, Eckhardt, S Gail, Mendillo, Marc L, Tiziani, Stefano, Wu, Erxi, Huang, Jason H, Sahni, Nidhi, Yi, S Stephen
المصدر: Cancer Res ; ISSN:1538-7445 ; Volume:83 ; Issue:1
بيانات النشر: Silverchair Information Systems
سنة النشر: 2023
المجموعة: PubMed Central (PMC)
الوصف: Somatic mutations are a major source of cancer development, and many driver mutations have been identified in protein coding regions. However, the function of mutations located in miRNA and their target binding sites throughout the human genome remains largely unknown. Here, we built detailed cancer-specific miRNA regulatory networks across 30 cancer types to systematically analyze the effect of mutations in miRNAs and their target sites in 3' untranslated region (3' UTR), coding sequence (CDS), and 5' UTR regions. A total of 3,518,261 mutations from 9,819 samples were mapped to miRNA-gene interactions (mGI). Mutations in miRNAs showed a mutually exclusive pattern with mutations in their target genes in almost all cancer types. A linear regression method identified 148 candidate driver mutations that can significantly perturb miRNA regulatory networks. Driver mutations in 3'UTRs played their roles by altering RNA binding energy and the expression of target genes. Finally, mutated driver gene targets in 3' UTRs were significantly downregulated in cancer and functioned as tumor suppressors during cancer progression, suggesting potential miRNA candidates with significant clinical implications. A user-friendly, open-access web portal (mGI-map) was developed to facilitate further use of this data resource. Together, these results will facilitate novel noncoding biomarker identification and therapeutic drug design targeting the miRNA regulatory networks.
نوع الوثيقة: article in journal/newspaper
اللغة: English
العلاقة: https://doi.org/10.1158/0008-5472.CAN-20-0371Test; https://pubmed.ncbi.nlm.nih.gov/36265133Test; https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9811166Test/
DOI: 10.1158/0008-5472.CAN-20-0371
الإتاحة: https://doi.org/10.1158/0008-5472.CAN-20-0371Test
https://pubmed.ncbi.nlm.nih.gov/36265133Test
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9811166Test/
حقوق: ©2022 The Authors; Published by the American Association for Cancer Research.
رقم الانضمام: edsbas.EAFE930A
قاعدة البيانات: BASE