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Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases
Published on: May 17, 2019
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Single Nucleotide Polymorphisms as the Efficient Prognostic Markers in Breast Cancer
Maliheh Alimardani1, Meysam Moghbeli2, Azam Rastgar-Moghadam1
1Medical Genetics Research Center, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
Current Cancer Drug Targets
|May 26, 2021
Summary
Genetic variations called single nucleotide polymorphisms (SNPs) impact breast cancer (BC) drug response. This review identifies key SNPs in detoxifying enzymes, aiding in a potential prognostic panel for BC patients worldwide.
Area of Science:
- Oncology
- Pharmacogenomics
- Genetics
Background:
- Breast cancer (BC) is the most prevalent cancer in women globally.
- Both environmental and genetic factors influence BC progression.
- Genetic polymorphisms, specifically single nucleotide polymorphisms (SNPs), are recognized as significant risk factors for BC prognosis and therapeutic response.
Purpose of the Study:
- To comprehensively review single nucleotide polymorphisms (SNPs) associated with drug response in breast cancer (BC) patients worldwide.
- To categorize identified SNPs based on their gene functions to elucidate the molecular mechanisms of drug response in BC.
Main Methods:
- Systematic review of existing literature.
- Identification and summarization of single nucleotide polymorphisms (SNPs) linked to drug response in breast cancer patients.
- Categorization of SNPs according to associated gene functions.
Main Results:
- Numerous SNPs significantly associated with drug response in BC patients were identified globally.
- A majority of these SNPs were found within detoxifying enzyme genes.
- These genes represent key genetic factors influencing BC drug responses.
Conclusions:
- The identified SNPs, particularly those in detoxifying enzymes, are crucial genetic determinants of drug response in breast cancer.
- This comprehensive review provides a foundation for developing a prognostic panel of SNPs for breast cancer patients.
- Understanding these genetic factors can lead to more personalized and effective breast cancer treatment strategies.

