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Integrative analysis identifies two molecular and clinical subsets in Luminal B breast cancer
Comprehensive multiplatform analysis of Luminal B breast cancer (LBBC) specimens identifies two molecularly distinct, clinically relevant subtypes: Cluster A associated with cell cycle and metabolic signaling and Cluster B with predominant epithelial mesenchymal transition (EMT) and immune response...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10448479/ https://www.ncbi.nlm.nih.gov/pubmed/37636034 http://dx.doi.org/10.1016/j.isci.2023.107466 |
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author | Wang, Huina Liu, Bo Long, Junqi Yu, Jiangyong Ji, Xinchan Li, Jinmeng Zhu, Nian Zhuang, Xujie Li, Lujia Chen, Yuhaoran Liu, Zhidong Wang, Shu Zhao, Shuangtao |
author_facet | Wang, Huina Liu, Bo Long, Junqi Yu, Jiangyong Ji, Xinchan Li, Jinmeng Zhu, Nian Zhuang, Xujie Li, Lujia Chen, Yuhaoran Liu, Zhidong Wang, Shu Zhao, Shuangtao |
author_sort | Wang, Huina |
collection | PubMed |
description | Comprehensive multiplatform analysis of Luminal B breast cancer (LBBC) specimens identifies two molecularly distinct, clinically relevant subtypes: Cluster A associated with cell cycle and metabolic signaling and Cluster B with predominant epithelial mesenchymal transition (EMT) and immune response pathways. Whole-exome sequencing identified significantly mutated genes including TP53, PIK3CA, ERBB2, and GATA3 with recurrent somatic mutations. Alterations in DNA methylation or transcriptomic regulation in genes (FN1, ESR1, CCND1, and YAP1) result in tumor microenvironment reprogramming. Integrated analysis revealed enriched biological pathways and unexplored druggable targets (cancer-testis antigens, metabolic enzymes, kinases, and transcription regulators). A systematic comparison between mRNA and protein displayed emerging expression patterns of key therapeutic targets (CD274, YAP1, AKT1, and CDH1). A potential ceRNA network was developed with a significantly different prognosis between the two subtypes. This integrated analysis reveals a complex molecular landscape of LBBC and provides the utility of targets and signaling pathways for precision medicine. |
format | Online Article Text |
id | pubmed-10448479 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-104484792023-08-25 Integrative analysis identifies two molecular and clinical subsets in Luminal B breast cancer Wang, Huina Liu, Bo Long, Junqi Yu, Jiangyong Ji, Xinchan Li, Jinmeng Zhu, Nian Zhuang, Xujie Li, Lujia Chen, Yuhaoran Liu, Zhidong Wang, Shu Zhao, Shuangtao iScience Article Comprehensive multiplatform analysis of Luminal B breast cancer (LBBC) specimens identifies two molecularly distinct, clinically relevant subtypes: Cluster A associated with cell cycle and metabolic signaling and Cluster B with predominant epithelial mesenchymal transition (EMT) and immune response pathways. Whole-exome sequencing identified significantly mutated genes including TP53, PIK3CA, ERBB2, and GATA3 with recurrent somatic mutations. Alterations in DNA methylation or transcriptomic regulation in genes (FN1, ESR1, CCND1, and YAP1) result in tumor microenvironment reprogramming. Integrated analysis revealed enriched biological pathways and unexplored druggable targets (cancer-testis antigens, metabolic enzymes, kinases, and transcription regulators). A systematic comparison between mRNA and protein displayed emerging expression patterns of key therapeutic targets (CD274, YAP1, AKT1, and CDH1). A potential ceRNA network was developed with a significantly different prognosis between the two subtypes. This integrated analysis reveals a complex molecular landscape of LBBC and provides the utility of targets and signaling pathways for precision medicine. Elsevier 2023-07-26 /pmc/articles/PMC10448479/ /pubmed/37636034 http://dx.doi.org/10.1016/j.isci.2023.107466 Text en © 2023 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Article Wang, Huina Liu, Bo Long, Junqi Yu, Jiangyong Ji, Xinchan Li, Jinmeng Zhu, Nian Zhuang, Xujie Li, Lujia Chen, Yuhaoran Liu, Zhidong Wang, Shu Zhao, Shuangtao Integrative analysis identifies two molecular and clinical subsets in Luminal B breast cancer |
title | Integrative analysis identifies two molecular and clinical subsets in Luminal B breast cancer |
title_full | Integrative analysis identifies two molecular and clinical subsets in Luminal B breast cancer |
title_fullStr | Integrative analysis identifies two molecular and clinical subsets in Luminal B breast cancer |
title_full_unstemmed | Integrative analysis identifies two molecular and clinical subsets in Luminal B breast cancer |
title_short | Integrative analysis identifies two molecular and clinical subsets in Luminal B breast cancer |
title_sort | integrative analysis identifies two molecular and clinical subsets in luminal b breast cancer |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10448479/ https://www.ncbi.nlm.nih.gov/pubmed/37636034 http://dx.doi.org/10.1016/j.isci.2023.107466 |
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