Synthetic lethality in lung cancer and translation to clinical therapies.

Mol Cancer

Department of Pathology and Laboratory Medicine, University of British Columbia, Rm. G227-2211 Wesbrook Mall, Vancouver, BC, V6T 2B5, Canada.

Published: September 2016

AI Article Synopsis

  • Lung cancer is a complex disease with various subtypes caused by different genetic mutations, and there is a need for better treatment options beyond current targeted therapies.
  • Recent advancements in the concept of synthetic lethality offer promising strategies for discovering new cancer targets and enhancing existing treatments.
  • This review covers synthetic lethality in oncology, methods for identifying these interactions, specific findings related to lung cancer, and the challenges of applying these discoveries in clinical settings.

Article Abstract

Lung cancer is a heterogeneous disease consisting of multiple histological subtypes each driven by unique genetic alterations. Despite the development of targeted therapies that inhibit the oncogenic mutations driving a subset of lung cancer cases, there is a paucity of effective treatments for the majority of lung cancer patients and new strategies are urgently needed. In recent years, the concept of synthetic lethality has been established as an effective approach for discovering novel cancer-specific targets as well as a method to improve the efficacy of existing drugs which provide partial but insufficient benefits for patients. In this review, we discuss the concept of synthetic lethality, the various types of synthetic lethal interactions in the context of oncology and the approaches used to identify these interactions, including recent advances that have transformed the ability to discover novel synthetic lethal combinations on a global scale. Lastly, we describe the specific synthetic lethal interactions identified in lung cancer to date and explore the pharmacological challenges and considerations in translating these discoveries to the clinic.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5041331PMC
http://dx.doi.org/10.1186/s12943-016-0546-yDOI Listing

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