Literature DB >> 19858389

Personalized cancer therapy with selective kinase inhibitors: an emerging paradigm in medical oncology.

Ultan McDermott1, Jeff Settleman.   

Abstract

Selective kinase inhibitors have emerged as an important class of anticancer agents, with demonstrated clinical efficacy and generally favorable toxicity profiles in several common disease settings where conventional treatments have previously provided only modest benefit. Consequently, a substantial effort is now underway to identify additional therapeutically relevant kinase targets and to develop and test inhibitors of those proteins in a variety of human malignancies. However, it has also become clear that the clinical benefit associated with these agents is typically limited to a subset of treated patients, who in many cases are defined by a specific genomic lesion within their tumor cells--frequently, an activating mutation within the gene encoding the target kinase. This discovery has prompted efforts to stratify patients before treatment with kinase inhibitors based on specific genomic biomarkers, with the goal of optimizing clinical outcomes through the effective personalization of treatment (ie, matching the right patients with the right therapies). With recent advances in our understanding of the relationship between tumor genotypes and cancer cell sensitivity to kinase inhibition, together with improved technologies for rapidly genotyping tumor biopsies for relevant lesions, the implementation of personalized cancer care with this exciting new class of inhibitors is now becoming a reality. In this review, we summarize recent developments in this area, and we highlight some of the logistical challenges posed by this emerging paradigm in medical oncology.

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Year:  2009        PMID: 19858389     DOI: 10.1200/JCO.2009.22.9054

Source DB:  PubMed          Journal:  J Clin Oncol        ISSN: 0732-183X            Impact factor:   44.544


  53 in total

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Review 2.  Envisioning the future of early anticancer drug development.

Authors:  Timothy A Yap; Shahneen K Sandhu; Paul Workman; Johann S de Bono
Journal:  Nat Rev Cancer       Date:  2010-06-10       Impact factor: 60.716

3.  Lectin chromatography/mass spectrometry discovery workflow identifies putative biomarkers of aggressive breast cancers.

Authors:  Penelope M Drake; Birgit Schilling; Richard K Niles; Akraporn Prakobphol; Bensheng Li; Kwanyoung Jung; Wonryeon Cho; Miles Braten; Halina D Inerowicz; Katherine Williams; Matthew Albertolle; Jason M Held; Demetris Iacovides; Dylan J Sorensen; Obi L Griffith; Eric Johansen; Anna M Zawadzka; Michael P Cusack; Simon Allen; Matthew Gormley; Steven C Hall; H Ewa Witkowska; Joe W Gray; Fred Regnier; Bradford W Gibson; Susan J Fisher
Journal:  J Proteome Res       Date:  2012-03-13       Impact factor: 4.466

4.  Chronic Activation of Innate Immunity Correlates With Poor Prognosis in Cancer Patients Treated With Oncolytic Adenovirus.

Authors:  Kristian Taipale; Ilkka Liikanen; Juuso Juhila; Riku Turkki; Siri Tähtinen; Matti Kankainen; Lotta Vassilev; Ari Ristimäki; Anniina Koski; Anna Kanerva; Iulia Diaconu; Vincenzo Cerullo; Markus Vähä-Koskela; Minna Oksanen; Nina Linder; Timo Joensuu; Johan Lundin; Akseli Hemminki
Journal:  Mol Ther       Date:  2015-08-27       Impact factor: 11.454

5.  BRAF gene amplification can promote acquired resistance to MEK inhibitors in cancer cells harboring the BRAF V600E mutation.

Authors:  Ryan B Corcoran; Dora Dias-Santagata; Kristin Bergethon; A John Iafrate; Jeffrey Settleman; Jeffrey A Engelman
Journal:  Sci Signal       Date:  2010-11-23       Impact factor: 8.192

Review 6.  Cellular biochemistry methods for investigating protein tyrosine phosphatases.

Authors:  Stephanie M Stanford; Vanessa Ahmed; Amy M Barrios; Nunzio Bottini
Journal:  Antioxid Redox Signal       Date:  2014-02-25       Impact factor: 8.401

7.  A platform for rapid detection of multiple oncogenic mutations with relevance to targeted therapy in non-small-cell lung cancer.

Authors:  Zengliu Su; Dora Dias-Santagata; Markeesa Duke; Katherine Hutchinson; Ya-Lun Lin; Darrell R Borger; Christine H Chung; Pierre P Massion; Cindy L Vnencak-Jones; A John Iafrate; William Pao
Journal:  J Mol Diagn       Date:  2010-12-23       Impact factor: 5.568

Review 8.  ALK-immunoreactive neoplasms.

Authors:  Parham Minoo; Huan-You Wang
Journal:  Int J Clin Exp Pathol       Date:  2012-05-23

9.  Discovering Molecular Targets in Cancer with Multiscale Modeling.

Authors:  Zhihui Wang; Veronika Bordas; Thomas S Deisboeck
Journal:  Drug Dev Res       Date:  2011-02-01       Impact factor: 4.360

10.  Melanoma: a model for testing new agents in combination therapies.

Authors:  Paolo A Ascierto; Howard Z Streicher; Mario Sznol
Journal:  J Transl Med       Date:  2010-04-20       Impact factor: 5.531

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