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Omics Technologies Improving Breast Cancer Research and Diagnostics
Breast cancer (BC) has yielded approximately 2.26 million new cases and has caused nearly 685,000 deaths worldwide in the last two years, making it the most common diagnosed cancer type in the world. BC is an intricate ecosystem formed by both the tumor microenvironment and malignant cells, and its...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10454385/ https://www.ncbi.nlm.nih.gov/pubmed/37628869 http://dx.doi.org/10.3390/ijms241612690 |
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author | Orsini, Arianna Diquigiovanni, Chiara Bonora, Elena |
author_facet | Orsini, Arianna Diquigiovanni, Chiara Bonora, Elena |
author_sort | Orsini, Arianna |
collection | PubMed |
description | Breast cancer (BC) has yielded approximately 2.26 million new cases and has caused nearly 685,000 deaths worldwide in the last two years, making it the most common diagnosed cancer type in the world. BC is an intricate ecosystem formed by both the tumor microenvironment and malignant cells, and its heterogeneity impacts the response to treatment. Biomedical research has entered the era of massive omics data thanks to the high-throughput sequencing revolution, quick progress and widespread adoption. These technologies—liquid biopsy, transcriptomics, epigenomics, proteomics, metabolomics, pharmaco-omics and artificial intelligence imaging—could help researchers and clinicians to better understand the formation and evolution of BC. This review focuses on the findings of recent multi-omics-based research that has been applied to BC research, with an introduction to every omics technique and their applications for the different BC phenotypes, biomarkers, target therapies, diagnosis, treatment and prognosis, to provide a comprehensive overview of the possibilities of BC research. |
format | Online Article Text |
id | pubmed-10454385 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-104543852023-08-26 Omics Technologies Improving Breast Cancer Research and Diagnostics Orsini, Arianna Diquigiovanni, Chiara Bonora, Elena Int J Mol Sci Review Breast cancer (BC) has yielded approximately 2.26 million new cases and has caused nearly 685,000 deaths worldwide in the last two years, making it the most common diagnosed cancer type in the world. BC is an intricate ecosystem formed by both the tumor microenvironment and malignant cells, and its heterogeneity impacts the response to treatment. Biomedical research has entered the era of massive omics data thanks to the high-throughput sequencing revolution, quick progress and widespread adoption. These technologies—liquid biopsy, transcriptomics, epigenomics, proteomics, metabolomics, pharmaco-omics and artificial intelligence imaging—could help researchers and clinicians to better understand the formation and evolution of BC. This review focuses on the findings of recent multi-omics-based research that has been applied to BC research, with an introduction to every omics technique and their applications for the different BC phenotypes, biomarkers, target therapies, diagnosis, treatment and prognosis, to provide a comprehensive overview of the possibilities of BC research. MDPI 2023-08-11 /pmc/articles/PMC10454385/ /pubmed/37628869 http://dx.doi.org/10.3390/ijms241612690 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Orsini, Arianna Diquigiovanni, Chiara Bonora, Elena Omics Technologies Improving Breast Cancer Research and Diagnostics |
title | Omics Technologies Improving Breast Cancer Research and Diagnostics |
title_full | Omics Technologies Improving Breast Cancer Research and Diagnostics |
title_fullStr | Omics Technologies Improving Breast Cancer Research and Diagnostics |
title_full_unstemmed | Omics Technologies Improving Breast Cancer Research and Diagnostics |
title_short | Omics Technologies Improving Breast Cancer Research and Diagnostics |
title_sort | omics technologies improving breast cancer research and diagnostics |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10454385/ https://www.ncbi.nlm.nih.gov/pubmed/37628869 http://dx.doi.org/10.3390/ijms241612690 |
work_keys_str_mv | AT orsiniarianna omicstechnologiesimprovingbreastcancerresearchanddiagnostics AT diquigiovannichiara omicstechnologiesimprovingbreastcancerresearchanddiagnostics AT bonoraelena omicstechnologiesimprovingbreastcancerresearchanddiagnostics |