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Next Generation Sequencing for the Detection of Actionable Mutations in Solid and Liquid Tumors
Published on: September 20, 2016
Signalomics for molecular tumor boards and precision oncology of breast and gynecological cancers
Tatiana V Denisenko1, Anna E Ivanova1, Alexey Koval2
1Kulakov National Medical Research Center of Obstetrics, Gynecology and Perinatology, 4 Akademika Oparina Str., Moscow, 117997, Russia.
Abstract:
Precision oncology led to the establishment and widespread application of molecular tumor boards (MTBs)-multidisciplinary units combining molecular and clinical assessment of individual cancer cases for swift selection of personalized treatments. Whole-exome or gene panel sequencing, combined with transcriptomic, immunohistochemical, and other molecular analyses, often permits dissection of molecular drivers of a tumor and identification of its potential targetable vulnerabilities, instructing clinical oncologists on sometimes unconventional treatment options. However, cancer drivers are often unleashed mutation-independently, especially in breast and gynecological cancers, and deleterious mutations are not always pathogenic. To complement the MTB arsenal, we chart here the molecular toolset we call Signalomics that permits fast and robust assessment of a panel of oncogenic signaling pathways in fresh tumor samples. Using transcriptional reporters introduced in primary tumor cells, this approach identifies the pathways overactivated in a given tumor and validates their sensitivity to targeted therapies, providing actionable insights for personalized treatment strategies. Integration of Signalomics into MTB workflows bridges the gap between molecular profiling and functional pathway analysis, refining clinical treatment decisions and advancing precision oncology.
Insights
Signalomics offers a new molecular toolset to assess oncogenic signaling pathways in fresh tumor samples. This approach complements molecular tumor boards by identifying activated pathways and their sensitivity to targeted therapies for personalized cancer treatment.
Area of Science:
- Oncology
- Molecular Biology
- Cancer Genomics
Background:
- Precision oncology relies on molecular tumor boards (MTBs) for personalized cancer treatment.
- Current MTB methods like sequencing may miss non-mutation-driven cancer drivers.
- There is a need for complementary functional analyses in precision oncology.
Purpose of the Study:
- To introduce Signalomics, a novel molecular toolset for assessing oncogenic signaling pathways.
- To evaluate Signalomics' ability to identify actionable therapeutic vulnerabilities in fresh tumor samples.
- To integrate Signalomics into MTB workflows for enhanced clinical decision-making.
Main Methods:
- Development of Signalomics using transcriptional reporters in primary tumor cells.
- Application of Signalomics to fresh tumor samples for pathway analysis.
- Validation of targeted therapy sensitivity through functional pathway assessment.
Main Results:
- Signalomics enables fast and robust assessment of oncogenic signaling pathways.
- The toolset identifies overactivated pathways and their sensitivity to targeted therapies.
- Actionable insights for personalized treatment strategies are generated.
Conclusions:
- Signalomics complements existing molecular profiling techniques in MTBs.
- Integration of Signalomics refines clinical treatment decisions in precision oncology.
- This approach advances the field of personalized cancer therapy.
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