Literature DB >> 26925829

Toward precision medicine of breast cancer.

Nicolas Carels1, Lizânia Borges Spinassé2, Tatiana Martins Tilli3, Jack Adam Tuszynski4,5.   

Abstract

In this review, we report on breast cancer's molecular features and on how high throughput technologies are helping in understanding the dynamics of tumorigenesis and cancer progression with the aim of developing precision medicine methods. We first address the current state of the art in breast cancer therapies and challenges in order to progress towards its cure. Then, we show how the interaction of high-throughput technologies with in silico modeling has led to set up useful inferences for promising strategies of target-specific therapies with low secondary effect incidence for patients. Finally, we discuss the challenge of pharmacogenetics in the clinical practice of cancer therapy. All these issues are explored within the context of precision medicine.

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Year:  2016        PMID: 26925829      PMCID: PMC4772532          DOI: 10.1186/s12976-016-0035-4

Source DB:  PubMed          Journal:  Theor Biol Med Model        ISSN: 1742-4682            Impact factor:   2.432


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