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Precision therapy for lymphoma—current state and future directions
Precision therapy for lymphoma—current state and future directions
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Precision therapy for lymphoma—current state and future directions
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Precision therapy for lymphoma—current state and future directions
Precision therapy for lymphoma—current state and future directions
Journal Article

Precision therapy for lymphoma—current state and future directions

2014
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Overview
Key Points Lymphomas exhibit heterogeneous genomic alterations, both across and within histological subtypes The molecular heterogeneity underlying lymphoma accounts, at least in part, for variable responses to treatment Lymphoma investigators should incorporate biomarkers into clinical trials to facilitate the clinical development of molecularly targeted therapeutics Techniques for identifying and reporting genomic alterations must be optimized and standardized so that mechanism-based therapies can be effectively applied to the clinical care of lymphoma patients Lymphoma represents a heterogeneous disease both across and within histological subtypes. The future for the treatment of patients with lymphoma will involve matching a targeted therapy to the unique genetic and molecular composition of each lymphoma. This Review discusses biomarkers that can guide treatment decisions for patients with lymphoma, and explore the challenges and strategies for making biomarker-driven personalized medicine a reality in the cure and management of this disease. Modern advances in genomics and cancer biology have produced an unprecedented body of knowledge regarding the molecular pathogenesis of lymphoma. The diverse histological subtypes of lymphoma are molecularly heterogeneous, and most likely arise from distinct oncogenic mechanisms. In parallel to these advances in lymphoma biology, several new classes of molecularly targeted agents have been developed with varying degrees of efficacy across the different types of lymphoma. In general, the development of new drugs for treating lymphoma has been mostly empiric, with a limited knowledge of the molecular target, its involvement in the disease, and the effect of the drug on the target. Thus, the variability observed in clinical responses likely results from underlying molecular heterogeneity. In the era of personalized medicine, the challenge for the treatment of patients with lymphoma will involve correctly matching a molecularly targeted therapy to the unique genetic and molecular composition of each individual lymphoma. In this Review, we discuss current and emerging biomarkers that can guide treatment decisions for patients with lymphoma, and explore the potential challenges and strategies for making biomarker-driven personalized medicine a reality in the cure and management of this disease.