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Genetic Polymorphisms in Pharmaceuticals and Chemotherapy
Aneesha Choudary Gummadi1, Achuta Kumar Guddati2
1Medical College of Georgia, Augusta University, Augusta, GA 30909, USA.
World Journal of Oncology
|November 22, 2021
Summary
Genetic polymorphisms significantly advance personalized medicine by influencing drug efficacy and safety. Early detection aids in selecting optimal treatments and dosages, improving patient outcomes.
Area of Science:
- Pharmacogenomics
- Medical Genetics
- Oncology
Background:
- Genetic polymorphisms impact drug efficacy and patient response across various conditions, including depression, cardiac diseases, and cancer.
- Understanding genetic variations is crucial for optimizing drug safety and therapeutic outcomes in clinical practice.
- Personalized medicine leverages genetic profiles to tailor treatment strategies, improving medication selection and dosage.
Purpose of the Study:
- To investigate the functional consequences of genetic polymorphisms on cancer drugs and treatment strategies.
- To highlight the role of genetic polymorphism studies in advancing personalized medicine.
- To explore how genetic variations influence patient susceptibility to certain cancers and inform personalized treatment plans.
Main Methods:
- Review of Genome-Wide Association Studies (GWAS) to identify disease-associated genetic polymorphisms.
- Analysis of individual pharmacokinetic profiles to develop surveillance protocols for adverse drug reactions.
- Utilizing patient-derived cellular organoids for screening chemotherapy-induced polymorphisms and adverse reactions.
Main Results:
- Genetic polymorphisms are linked to hundreds of diseases, influencing drug response and treatment effectiveness.
- GWAS have enhanced the understanding of gene-phenotype connections, accelerating personalized medicine.
- Patient-derived organoids offer a platform for predicting chemotherapy responses and developing targeted therapies.
Conclusions:
- Genetic polymorphism analysis is fundamental to personalized medicine, enabling tailored drug selection and dosage.
- Early identification of genetic variations improves cancer treatment planning and reduces adverse drug events.
- Advances in genetic research, including GWAS and organoid models, are driving significant progress in individualized healthcare.
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