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Thiopurine S-methyltransferase polymorphisms in acute lymphoblastic leukemia, inflammatory bowel disease and autoimmune disorders: influence on treatment response

Overview of attention for article published in Pharmacogenomics and Personalized Medicine, May 2017
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Title
Thiopurine S-methyltransferase polymorphisms in acute lymphoblastic leukemia, inflammatory bowel disease and autoimmune disorders: influence on treatment response
Published in
Pharmacogenomics and Personalized Medicine, May 2017
DOI 10.2147/pgpm.s108123
Pubmed ID
Authors

Rachid Abaji, Maja Krajinovic

Abstract

The thiopurine S-methyltransferase (TPMT) gene encodes for the TPMT enzyme that plays a crucial role in the metabolism of thiopurine drugs. Genetic polymorphisms in this gene can affect the activity of the TPMT enzyme and have been correlated with variability in response to treatment with thiopurines. Advances in the pharmacogenetics of TPMT allowed the development of dosing recommendations and treatment strategies to optimize and individualize prescribing thiopurine in an attempt to enhance treatment efficacy while minimizing toxicity. The influence of genetic polymorphisms in the TPMT gene on clinical outcome has been well-documented and replicated in many studies. In this review, we provide an overview of the evolution, results, conclusions and recommendations of selected studies that investigated the influence of TPMT pharmacogenetics on thiopurine treatment in acute lymphoblastic leukemia, inflammatory bowel disease and autoimmune disorders. We focus mainly on prospective studies that explored the impact of individualized TPMT-based dosing of thiopurines on clinical response. Together, these studies demonstrate the importance of preemptive TPMT genetic screening and subsequent dose adjustment in mitigating the toxicity associated with thiopurine treatment while maintaining treatment efficacy and favorable long-term outcomes. In addition, we briefly address the cost-effectiveness of this pharmacogenetics approach and its impact on clinical practice as well as the importance of recent breakthrough advances in sequencing and genotyping techniques in refining the TPMT genetic screening process.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 68 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 19%
Student > Bachelor 12 18%
Student > Master 10 15%
Student > Ph. D. Student 8 12%
Student > Postgraduate 5 7%
Other 7 10%
Unknown 13 19%
Readers by discipline Count As %
Pharmacology, Toxicology and Pharmaceutical Science 15 22%
Biochemistry, Genetics and Molecular Biology 12 18%
Medicine and Dentistry 12 18%
Economics, Econometrics and Finance 3 4%
Agricultural and Biological Sciences 2 3%
Other 6 9%
Unknown 18 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 12 May 2017.
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#20,964,263
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Outputs from Pharmacogenomics and Personalized Medicine
#1
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#250,759
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Outputs of similar age from Pharmacogenomics and Personalized Medicine
#1
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