Article ; Online: Data integration and mechanistic modelling for breast cancer biology: Current state and future directions.
Current opinion in endocrine and metabolic research
2022 Volume 24, Page(s) None
Abstract: Breast cancer is one of the most common cancers threatening women worldwide. A limited number of available treatment options, frequent recurrence, and drug resistance exacerbate the prognosis of breast cancer patients. Thus, there is an urgent need for ... ...
Abstract | Breast cancer is one of the most common cancers threatening women worldwide. A limited number of available treatment options, frequent recurrence, and drug resistance exacerbate the prognosis of breast cancer patients. Thus, there is an urgent need for methods to investigate novel treatment options, while taking into account the vast molecular heterogeneity of breast cancer. Recent advances in molecular profiling technologies, including genomics, epigenomics, transcriptomics, proteomics and metabolomics data, enable approaching breast cancer biology at multiple levels of omics interaction networks. Systems biology approaches, including computational inference of 'big data' and mechanistic modelling of specific pathways, are emerging to identify potential novel combinations of breast cancer subtype signatures and more diverse targeted therapies. |
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Language | English |
Publishing date | 2022-08-23 |
Publishing country | England |
Document type | Journal Article ; Review |
ISSN | 2451-9650 |
ISSN (online) | 2451-9650 |
DOI | 10.1016/j.coemr.2022.100350 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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