Exploring ceRNA networks for key biomarkers in breast cancer subtypes and immune regulation

Abstract Breast cancer is a major global health concern, and recent researches have highlighted the critical roles of non-coding RNAs in both cancer and the immune system. The competing endogenous RNA hypothesis suggests that various types of RNA, including coding and non-coding RNAs, compete for mi...

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Main Authors: Alireza Shariatmadar Taleghani, Yasaman Zohrab Beigi, Fatemeh Zare-Mirakabad, Ali Masoudi-Nejad
Format: Article
Language:English
Published: Nature Portfolio 2023-11-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-023-47816-z
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author Alireza Shariatmadar Taleghani
Yasaman Zohrab Beigi
Fatemeh Zare-Mirakabad
Ali Masoudi-Nejad
author_facet Alireza Shariatmadar Taleghani
Yasaman Zohrab Beigi
Fatemeh Zare-Mirakabad
Ali Masoudi-Nejad
author_sort Alireza Shariatmadar Taleghani
collection DOAJ
description Abstract Breast cancer is a major global health concern, and recent researches have highlighted the critical roles of non-coding RNAs in both cancer and the immune system. The competing endogenous RNA hypothesis suggests that various types of RNA, including coding and non-coding RNAs, compete for microRNA targets, acting as molecular sponges. This study introduces the Pre_CLM_BCS pipeline to investigate the potential of long non-coding RNAs and circular RNAs as biomarkers in breast cancer subtypes. The pipeline identifies specific modules within each subtype that contain at least one long non-coding RNA or circular RNA exhibiting significantly distinct expression patterns when compared to other subtypes. The results reveal potential biomarker genes for each subtype, such as circ_001845, circ_001124, circ_003925, circ_000736, and circ_003996 for the basal-like subtype, circ_00306 and circ_00128 for the luminal B subtype, circ_000709 and NPHS1 for the normal-like subtype, CAMKV and circ_001855 for the luminal A subtype, and circ_00128 and circ_00173 for the HER2+ subtype. Additionally, certain long non-coding RNAs and circular RNAs, including RGS5-AS1, C6orf223, HHLA3-AS1, circ_000349, circ_003996, circ_003925, circ_002665, circ_001855, and DLEU1, are identified as potential regulators of T cell mechanisms, underscoring their importance in understanding breast cancer progression in various subtypes. This pipeline provides valuable insights into cancer and immune-related processes in breast cancer subtypes.
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spelling doaj.art-2ab520fac3df42cba2661badb2181dd42023-12-03T12:19:42ZengNature PortfolioScientific Reports2045-23222023-11-0113111610.1038/s41598-023-47816-zExploring ceRNA networks for key biomarkers in breast cancer subtypes and immune regulationAlireza Shariatmadar Taleghani0Yasaman Zohrab Beigi1Fatemeh Zare-Mirakabad2Ali Masoudi-Nejad3Laboratory of Systems Biology and Bioinformatics (LBB), Institute of Biochemistry and Biophysics, University of TehranLaboratory of Systems Biology and Bioinformatics (LBB), Institute of Biochemistry and Biophysics, University of TehranDepartment of Mathematics and Computer Science, Amirkabir University of Technology (Polytechnic Tehran)Laboratory of Systems Biology and Bioinformatics (LBB), Institute of Biochemistry and Biophysics, University of TehranAbstract Breast cancer is a major global health concern, and recent researches have highlighted the critical roles of non-coding RNAs in both cancer and the immune system. The competing endogenous RNA hypothesis suggests that various types of RNA, including coding and non-coding RNAs, compete for microRNA targets, acting as molecular sponges. This study introduces the Pre_CLM_BCS pipeline to investigate the potential of long non-coding RNAs and circular RNAs as biomarkers in breast cancer subtypes. The pipeline identifies specific modules within each subtype that contain at least one long non-coding RNA or circular RNA exhibiting significantly distinct expression patterns when compared to other subtypes. The results reveal potential biomarker genes for each subtype, such as circ_001845, circ_001124, circ_003925, circ_000736, and circ_003996 for the basal-like subtype, circ_00306 and circ_00128 for the luminal B subtype, circ_000709 and NPHS1 for the normal-like subtype, CAMKV and circ_001855 for the luminal A subtype, and circ_00128 and circ_00173 for the HER2+ subtype. Additionally, certain long non-coding RNAs and circular RNAs, including RGS5-AS1, C6orf223, HHLA3-AS1, circ_000349, circ_003996, circ_003925, circ_002665, circ_001855, and DLEU1, are identified as potential regulators of T cell mechanisms, underscoring their importance in understanding breast cancer progression in various subtypes. This pipeline provides valuable insights into cancer and immune-related processes in breast cancer subtypes.https://doi.org/10.1038/s41598-023-47816-z
spellingShingle Alireza Shariatmadar Taleghani
Yasaman Zohrab Beigi
Fatemeh Zare-Mirakabad
Ali Masoudi-Nejad
Exploring ceRNA networks for key biomarkers in breast cancer subtypes and immune regulation
Scientific Reports
title Exploring ceRNA networks for key biomarkers in breast cancer subtypes and immune regulation
title_full Exploring ceRNA networks for key biomarkers in breast cancer subtypes and immune regulation
title_fullStr Exploring ceRNA networks for key biomarkers in breast cancer subtypes and immune regulation
title_full_unstemmed Exploring ceRNA networks for key biomarkers in breast cancer subtypes and immune regulation
title_short Exploring ceRNA networks for key biomarkers in breast cancer subtypes and immune regulation
title_sort exploring cerna networks for key biomarkers in breast cancer subtypes and immune regulation
url https://doi.org/10.1038/s41598-023-47816-z
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