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Published on: November 29, 2016
Therapeutic implications of germline genetic findings in cancer
Subotheni Thavaneswaran1,2,3, Emma Rath1, Kathy Tucker4
1Cancer Division, Garvan Institute of Medical Research, Sydney, Australia.
Abstract:
Cancer is a genetic disease. To date, translational cancer genomics has focused largely on somatic alterations, driven by the desire to identify targets for personalized therapy. However, therapeutically relevant information is also latent within the germline genome. In addition to cancer susceptibility, alterations present in the germ line can determine responses to both targeted and more traditional anticancer therapies, as well as their toxicities. Despite the importance of these alterations, many algorithms designed to analyse somatic mutations conversely continue to subtract information on germline genetics during analysis. In the light of low actionable yields from somatic tumour testing, a need exists for diversification of the sources of potential therapeutic biomarkers. In this Review, we summarize the literature on the therapeutic potential of alterations in the germline genome. The therapeutic value of germline information will not only be manifest as improvements in treatment but will also drive greater levels of engagement and cooperation between traditional oncology services and familial risk management clinics.
Insights
Germline genome alterations offer valuable therapeutic biomarkers beyond cancer susceptibility. Analyzing germline genetics improves cancer treatment response and toxicity, enhancing personalized medicine strategies.
Area of Science:
- Genomic Medicine
- Cancer Genomics
- Translational Oncology
Background:
- Cancer genomics traditionally focuses on somatic alterations for personalized therapy targets.
- Germline genome alterations, beyond susceptibility, hold therapeutic information.
- Current analysis algorithms often disregard germline genetics, missing key data.
Purpose of the Study:
- To review the therapeutic potential of germline genome alterations.
- To highlight the need for diversifying biomarker sources in cancer therapy.
- To emphasize the integration of germline data into clinical practice.
Main Methods:
- Literature review of studies on germline genome alterations in cancer therapy.
- Analysis of the role of germline genetics in treatment response and toxicity.
- Examination of current bioinformatic approaches in cancer genomics.
Main Results:
- Germline alterations can predict response to targeted and traditional therapies.
- Germline variants influence anticancer drug toxicities.
- Low actionable yields from somatic testing necessitate exploring germline data.
Conclusions:
- Germline genome analysis is crucial for personalized cancer treatment.
- Integrating germline information can improve therapeutic outcomes and reduce toxicity.
- Enhanced collaboration between oncology and familial risk management is essential.
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