The DOI matches its Crossref record; 201 of the 201 references it cites were found in a registry or an index.
Omics Technologies Improving Breast Cancer Research and Diagnostics
Open accessAbstract
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.
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“For instance, BRCA1 and USP44 have been reported to be of great interest in breast cancer, since the first protein is a tumor suppressor, and the second one still has an unknown oncogenic potential.”
From Revisiting Epigenetics Fundamentals and Its Biomedical Implications (2024) · cites this paper as [106]
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[Functional indices of the cardiovascular system in pronounced neuro-emotional tension].
Vb, O., & Vasiliauskas, D. A. (1988) · PubMed · Cited by 2
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Srinivasan, D., Balakrishnan, R., Chauhan, A., Kumar, J., Girija, D. M., Shrestha, R., Shrestha, R., & Subbarayan, R. (2025) · MedComm · doi:10.1002/mco2.70333 · Cited by 40
Editorial: Heterogeneity in breast cancer: clinical and therapeutic implications
Carlino, F., Solinas, C., Orditura, M., Bisceglia, M. D., Pellegrino, B., & Diana, A. (2024) · Frontiers in Oncology · doi:10.3389/fonc.2024.1321654 · Cited by 24
Omran, M. M., Emam, M., Gamaleldin, M., Abushady, A. M., Elattar, M., & El-Hadidi, M. S. (2025) · Journal of Translational Medicine · doi:10.1186/s12967-025-06662-5 · Cited by 22
Opee, S. A., Eva, A. A., Noor, A., Hasan, S. M., & Mridha, M. F. (2025) · Healthcare Technology Letters · doi:10.1049/htl2.12122 · Cited by 25
Revisiting Epigenetics Fundamentals and Its Biomedical Implications
Meza-Menchaca, T., Albores-Medina, A., Heredia-Mendez, A. J., Ruíz-May, E., Ricaño-Rodríguez, J., Gallegos-García, V., Esquivel, A., Vettoretti-Maldonado, G., & Campos-Parra, A. D. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms25147927 · Cited by 15
Metadata
- Authors
- Orsini, A., Diquigiovanni, C., & Bonora, E.
- Affiliations
- University of Bologna (IT)
- Corresponding author
- Diquigiovanni, Chiara
- Venue
- International Journal of Molecular Sciences
- Publisher
- MDPI AG
- Published
- 2023-08-11
- Volume
- 24
- Issue
- 16
- Pages
- 12690
- ISSN
- 1422-0067 (ISSN-L)
- PMC
- PMC10454385
- OpenAlex
- W4385769695
- Cited by
- 52
- References
- 201
- Citations by year
- 2026: 10 · 2025: 26 · 2024: 15 · 2023: 1
- FWCI
- 1.64
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- International Journal of Molecular Sciences (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna) (submittedVersion, cc-by)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Breast Cancer Treatment Studies
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer Genomics and Diagnostics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Bioinformatics and Genomic Networks
- Keywords
- breast cancer, multi-omics, liquid biopsy, transcriptomics, epigenomics, proteomics, metabolomics, tumor microenvironment, tumor heterogeneity, biomarkers, targeted therapy, prognosis, diagnosis
- MeSH terms
- Artificial Intelligence, Humans, Neoplasms, Research Personnel, Ecosystem, Biomedical Research, Epigenomics
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