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Updated: Sep 27, 2025

A Method for Screening and Validation of Resistant Mutations Against Kinase Inhibitors
Published on: December 7, 2014
Solid Tumors and Kinase Inhibition: Management and Therapy Efficacy Evolution
Flávia Melo Cunha de Pinho Pessoa1, Caio Bezerra Machado1, Emerson Lucena da Silva1
1Department of Medicine, Pharmacogenetics Laboratory, Drug Research and Development Center (NPDM), Federal University of Ceará, Fortaleza 60430-275, Brazil.
Targeted therapies, like kinase inhibitors (KIs), offer improved cancer treatment specificity and efficacy. Recent clinical trials show varying success rates for KIs in solid tumors, alone or combined with other treatments.
Area of Science:
- Oncology
- Molecular Biology
- Precision Medicine
Background:
- Rising global cancer incidence and mortality necessitate improved treatment strategies.
- Traditional chemo-immunotherapy faces challenges with toxicity and multidrug resistance.
- Precision medicine and targeted therapies are emerging as promising alternatives.
Purpose of the Study:
- To review clinical trials of kinase inhibitors (KIs) in solid tumor treatment over the past five years.
- To assess the efficacy of KIs as monotherapy or in combination with other agents.
Main Methods:
- Systematic review of clinical trials published within the last five years.
- Focus on studies utilizing kinase inhibitors (KIs) for solid tumor management.
- Analysis of treatment outcomes for KI monotherapy versus combination therapies.
Main Results:
- Kinase inhibitors demonstrate potential in treating solid tumors, offering increased specificity.
- Combination therapies involving KIs, targeted agents, immunotherapy, and chemotherapy show innovation.
- Reported efficacy of KIs varies across different solid tumor types and treatment regimens.
Conclusions:
- Kinase inhibitors represent a significant advancement in targeted cancer therapy.
- Combined therapeutic approaches integrating KIs hold promise for managing recurrent and advanced malignancies.
- Further research is warranted to optimize KI-based treatments and overcome resistance.
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