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Cancer pharmacogenomics, challenges in implementation, and patient-focused perspectives

Overview of attention for article published in Pharmacogenomics and Personalized Medicine, July 2016
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7 tweeters
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1 Facebook page

Citations

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75 Mendeley
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Title
Cancer pharmacogenomics, challenges in implementation, and patient-focused perspectives
Published in
Pharmacogenomics and Personalized Medicine, July 2016
DOI 10.2147/pgpm.s62918
Pubmed ID
Authors

Jai Patel

Abstract

Cancer pharmacogenomics is an evolving landscape and has the potential to significantly impact cancer care and precision medicine. Harnessing and understanding the genetic code of both the patient (germline) and the tumor (somatic) provides the opportunity for personalized dose and therapy selection for cancer patients. While germline DNA is useful in understanding the pharmacokinetic and pharmacodynamic disposition of a drug, somatic DNA is particularly useful in identifying drug targets and predicting drug response. Molecular profiling of somatic DNA has resulted in the current breadth of targeted therapies available, expanding the armamentarium to battle cancer. This review provides an update on cancer pharmacogenomics and genomics-based medicine, challenges in applying pharmacogenomics to the clinical setting, and patient perspectives on the use of pharmacogenomics to personalize cancer therapy.

Twitter Demographics

The data shown below were collected from the profiles of 7 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 75 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 20%
Student > Bachelor 13 17%
Student > Master 13 17%
Student > Ph. D. Student 9 12%
Student > Postgraduate 4 5%
Other 11 15%
Unknown 10 13%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 21 28%
Medicine and Dentistry 16 21%
Pharmacology, Toxicology and Pharmaceutical Science 14 19%
Agricultural and Biological Sciences 8 11%
Mathematics 1 1%
Other 2 3%
Unknown 13 17%