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Yeast As a Chassis for Developing Functional Assays to Study Human P53
Published on: August 4, 2019
Genetic Modifiers of the p53 Pathway
Subhasree Basu1, Maureen E Murphy1
1Program in Molecular and Cellular Oncogenesis, The Wistar Institute, Philadelphia, Pennsylvania 19104.
Single nucleotide polymorphisms (SNPs) in the p53 pathway, including in TP53, MDM2, and MDM4 genes, can alter cancer risk and treatment efficacy. These genetic variants may also influence other diseases, impacting metabolism and reproductive fitness.
Area of Science:
- Genetics
- Molecular Biology
- Cancer Research
Background:
- The tumor suppressor gene TP53 is frequently mutated in human cancers, with its pathway often inactivated in nearly all tumors.
- Genes regulating p53, such as MDM2, MDM4, and CDKN2A (p14ARF), are also commonly altered in cancer.
- Unlike other cancer pathways, p53 pathway genes harbor functionally significant single nucleotide polymorphisms (SNPs).
Purpose of the Study:
- To review functionally significant polymorphisms in key p53 pathway genes.
- To assess the impact of these variants on cancer risk, progression, and treatment response.
- To explore the potential role of these variants in other diseases and biological processes.
Main Methods:
- Focused review of five polymorphisms in TP53, MDM2, and MDM4 genes.
- Selection based on robust functional and epidemiological data.
- Consideration of additional polymorphisms with emerging data (KITLG, ANRIL).
Main Results:
- Identified specific TP53, MDM2, and MDM4 polymorphisms with reproducible functional data and disease associations.
- Highlighted the potential of these SNPs to modify cancer risk, progression, and therapeutic outcomes.
- Discussed the broader implications for metabolism and reproductive fitness.
Conclusions:
- Genetic variants in the p53 pathway, particularly SNPs, represent crucial modifiers of cancer and other diseases.
- Further research is needed to understand the evolutionary origins and selection pressures of these variants.
- Genotyping these polymorphisms may offer predictive value for disease risk and prognosis.
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