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Characterize Disease-related Mutants of RAF Family Kinases by Using a Set of Practical and Feasible Methods
Published on: July 17, 2019
Identification of synthetic chemosensitivity genes paired with BRAF for BRAF/MAPK inhibitors
Kye Hwa Lee1, Jinmin Goh2,3, Yi-Jun Kim4
1Department of Biomedical Informatics, Asan Medical Center, Seoul, 05505, South Korea. geffa@amc.seoul.kr.
Abstract:
Molecular-targeted approaches are important for personalised cancer treatment, which requires knowledge regarding drug target specificity. Here, we used the synthetic lethality concept to identify candidate gene pairs with synergistic effects on drug responses. A synergistic chemo-sensitivity response was identified if a drug had a significantly lower half-maximal inhibitory concentration (IC50) in cell lines with a pair of mutated genes compared with those in other cell lines (wild-type or one mutated gene). Among significantly damaging mutations in the Genomics of Drug Sensitivity in Cancer database, we found 580 candidate synergistic chemo-sensitivity interaction sets for 456 genes and 54 commercial drugs. Clustering analyses according to drug/gene and drug/tissue interactions showed that BRAF/MAPK inhibitors clustered together; 11 partner genes for BRAF were identified. The combined effects of these partners on IC50 values were significant for both drug-specific and drug-combined comparisons. Survival analysis using The Cancer Genome Atlas data showed that patients who had mutated gene pairs in synergistic interaction sets had longer overall survival compared with that in patients with other mutation profiles. Overall, this analysis demonstrated that synergistic drug-responsive gene pairs could be successfully used as predictive markers of drug sensitivity and patient survival, offering new targets for personalised medicine.
Insights
This study identifies synergistic gene pairs that predict cancer drug sensitivity and patient survival. These findings offer new targets for personalized cancer medicine by leveraging the synthetic lethality concept.
Area of Science:
- Genomics
- Pharmacology
- Computational Biology
Background:
- Personalized cancer treatment relies on understanding drug target specificity.
- Molecular-targeted therapies are crucial for effective cancer care.
Purpose of the Study:
- To identify gene pairs exhibiting synergistic effects on drug responses using the synthetic lethality concept.
- To discover novel predictive markers for drug sensitivity and patient survival in cancer.
Main Methods:
- Utilized the synthetic lethality concept to analyze drug responses in cell lines with gene mutations.
- Screened the Genomics of Drug Sensitivity in Cancer database for synergistic chemo-sensitivity interaction sets.
- Performed clustering analyses on drug/gene and drug/tissue interactions.
- Conducted survival analyses using The Cancer Genome Atlas data.
Main Results:
- Identified 580 candidate synergistic chemo-sensitivity interaction sets involving 456 genes and 54 drugs.
- BRAF/MAPK inhibitors and 11 partner genes for BRAF showed significant synergistic effects on drug response.
- Patients with synergistic gene pairs demonstrated longer overall survival.
Conclusions:
- Synergistic drug-responsive gene pairs can serve as predictive markers for drug sensitivity.
- These gene pairs are valuable for predicting patient survival, aiding personalized medicine strategies.
- The study highlights potential new therapeutic targets for personalized cancer treatment.
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