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Updated: Jun 19, 2026

A Method for Screening and Validation of Resistant Mutations Against Kinase Inhibitors
Published on: December 7, 2014
Personalized cancer therapy with selective kinase inhibitors: an emerging paradigm in medical oncology
Ultan McDermott1, Jeff Settleman
1Center for Molecular Therapeutics, Massachusetts General Hospital Cancer Center, Charlestown, MA 02129, USA.
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.
Insights
Selective kinase inhibitors offer targeted cancer therapy, but benefit is often limited to patients with specific genetic mutations. Personalized medicine, guided by genomic biomarkers, aims to match patients with the most effective kinase inhibitors for improved outcomes.
Area of Science:
- Oncology
- Pharmacology
- Genetics
Background:
- Selective kinase inhibitors are effective anticancer agents with favorable toxicity profiles.
- Their clinical benefit is often restricted to patients with specific tumor genomic lesions, such as activating mutations in the target kinase gene.
- This highlights the need for personalized treatment strategies in cancer therapy.
Purpose of the Study:
- To review recent advancements in the development and application of selective kinase inhibitors in oncology.
- To discuss the role of genomic biomarkers in patient stratification for kinase inhibitor therapy.
- To explore the emerging paradigm of personalized cancer care using targeted therapies.
Main Methods:
- Review of current literature on selective kinase inhibitors and cancer genomics.
- Analysis of the relationship between tumor genotype and sensitivity to kinase inhibition.
- Discussion of technological advancements in tumor biopsy genotyping.
Main Results:
- Clinical efficacy of kinase inhibitors is often linked to specific patient genomic profiles.
- Genomic biomarker-based patient stratification is crucial for optimizing treatment outcomes.
- Advances in genotyping technologies facilitate the implementation of personalized cancer care.
Conclusions:
- Personalized cancer care, utilizing selective kinase inhibitors tailored to individual tumor genotypes, is becoming a reality.
- Matching patients with the right kinase inhibitors based on biomarkers optimizes therapeutic benefit.
- Logistical challenges in implementing this personalized approach require further attention.
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