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A Data Integration Workflow to Identify Drug Combinations Targeting Synthetic Lethal Interactions
Published on: May 27, 2021
Synthetic lethal interactions for the development of cancer therapeutics: biological and methodological advancements
Shinji Mizuarai1, Hidehito Kotani
1Department of Oncology, Tsukuba Research Institute, Banyu Pharmaceutical Co., Ltd., 3 Okubo, Tsukuba, Ibaraki, 300-2611, Japan.
Abstract:
Synthetic lethal interaction is defined as a combination of two mutations that is lethal when present in the same cell; each individual mutation is non-lethal. Synthetic lethal interactions attract attention in cancer research fields since the discovery of synthetic lethal genes with either oncogenes or tumor suppressor genes (TSGs) provides novel cancer therapeutic targets. Due to the selective lethal effect on cancer cells harboring specific genetic alterations, it is expected that targeting synthetic lethal genes would provide wider therapeutic windows compared with cytotoxic chemotherapeutics. Here, we review the current status of the application of synthetic lethal screening in cancer research fields from biological and methodological viewpoints. Very recent studies seeking to identify synthetic lethal genes with K-RAS and p53, which are known to be the most frequently occurring oncogenes and TSGs, respectively, are introduced. Among the accumulating amount of research on synthetic lethal interactions, the synthetic lethality between BRCA1/2 and PARP1 inhibition has been clinically proven. Thus, both preclinical and clinical data showing a preferential anti-tumor effect on BRCA1/2 deficient tumors by a PARP1 inhibitor are the best examples of the synthetic lethal approach of cancer therapeutics. Finally, methodological progress regarding synthetic lethal screening, including barcode shRNA screening and in vivo synthetic lethal screening, is described. Given the fact that an increasing number of synthetic lethal genes for major cancerous genes have been validated in preclinical studies, this intriguing approach awaits clinical verification of preferential benefits for cancer patients with specific genetic alterations as a clear predictive factor for tumor response.
Insights
Synthetic lethality, a strategy targeting cancer cells with specific mutations, offers new therapeutic avenues. The BRCA1/2 and PARP1 inhibitor interaction is a prime example, showing promise for wider therapeutic windows in cancer treatment.
Area of Science:
- Oncology
- Genetics
- Molecular Biology
Background:
- Synthetic lethal interactions, where combined mutations are lethal but individual mutations are not, are crucial in cancer research.
- Identifying synthetic lethal genes offers novel therapeutic targets, potentially leading to wider therapeutic windows than traditional chemotherapy.
- This approach selectively targets cancer cells with specific genetic alterations.
Purpose of the Study:
- To review the current application of synthetic lethal screening in cancer research.
- To discuss biological and methodological viewpoints of synthetic lethality.
- To highlight recent findings and future directions in the field.
Main Methods:
- Review of current literature on synthetic lethal screening in cancer research.
- Discussion of biological and methodological aspects of synthetic lethality.
- Introduction of recent studies targeting K-RAS and p53 synthetic lethal genes.
Main Results:
- The synthetic lethality between BRCA1/2 and PARP1 inhibition is clinically validated, demonstrating a preferential anti-tumor effect in BRCA1/2 deficient tumors.
- Preclinical studies increasingly validate synthetic lethal genes for major cancer genes.
- Methodological advancements include barcode shRNA screening and in vivo synthetic lethal screening.
Conclusions:
- Synthetic lethality represents a promising cancer therapeutic strategy with potential for greater efficacy and reduced side effects.
- Clinical verification of synthetic lethal approaches is needed to confirm benefits for cancer patients with specific genetic alterations.
- Further research and validation are essential to translate preclinical findings into effective clinical treatments.
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