Literature DB >> 21764517

New drugs for breast cancer subtypes: targeting driver pathways to overcome resistance.

Giuseppe Curigliano1.   

Abstract

Breast cancer is not a single disease. Genetic array tools can define several subtypes. Specific biological processes and distinct gene pathways are associated with prognosis and sensitivity to chemotherapy and targeted agents in different subtypes of breast cancers. As a consequence, breast cancer can be classified by molecular events. A primary challenge for future drug development in breast cancer will be to distinguish genes and pathways that "drive" cancer proliferation (drivers) from genes and pathways that have no role in the development of cancer (passengers). The identification of functional pathways that are enriched for mutated genes will select sub-population of patients the will most likely be sensitive to biology driven targeted agents. The selection of driver pathways in resistant tumors will permit to discover a biology-driven platform for new drug development to overcome resistance. Any of the breast cancer subtypes implies that clinicians should consider cases within the various distinct sub-population in order to properly choose the most personalized therapeutic approach. We will review all new emerging agents targeting the driver pathways within breast cancer molecular subtypes.
Copyright © 2011 Elsevier Ltd. All rights reserved.

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Year:  2011        PMID: 21764517     DOI: 10.1016/j.ctrv.2011.06.006

Source DB:  PubMed          Journal:  Cancer Treat Rev        ISSN: 0305-7372            Impact factor:   12.111


  11 in total

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4.  From precision medicine to cancer care through the immunome: highlights from the European Society of Medical Oncology Congress, Madrid, 26-30th September 2014.

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5.  RNAi screens identify CHD4 as an essential gene in breast cancer growth.

Authors:  Carolina D'Alesio; Simona Punzi; Angelo Cicalese; Lorenzo Fornasari; Laura Furia; Laura Riva; Alessandro Carugo; Giuseppe Curigliano; Carmen Criscitiello; Giancarlo Pruneri; Pier Giuseppe Pelicci; Mario Faretta; Daniela Bossi; Luisa Lanfrancone
Journal:  Oncotarget       Date:  2016-12-06

6.  Use of Extrapolation in New Drug Approvals by the US Food and Drug Administration.

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Authors:  Antti Ylipää; Olli Yli-Harja; Wei Zhang; Matti Nykter
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Journal:  BMC Complement Altern Med       Date:  2014-06-19       Impact factor: 3.659

9.  Genomic profiling of murine mammary tumors identifies potential personalized drug targets for p53-deficient mammary cancers.

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Review 10.  Application of the CRISPR/Cas9 System to Drug Resistance in Breast Cancer.

Authors:  Yinnan Chen; Yanmin Zhang
Journal:  Adv Sci (Weinh)       Date:  2018-04-15       Impact factor: 16.806

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