| Title |
Identification of new SNPs associated with severe toxicity to capecitabine
|
|---|---|
| Published in |
Pharmacological Research, March 2017
|
| DOI | 10.1016/j.phrs.2017.03.021 |
| Pubmed ID | |
| Authors |
Marta Pellicer, Xandra García-González, María I. García, Luis Robles, Cristina Grávalos, Pilar García-Alfonso, Vanessa Pachón, Federico Longo, Virginia Martínez, Carolina Blanco, Irene Iglesias, María Sanjurjo, Luis A. López-Fernández |
| Abstract |
Predicting individual risk of chemotherapy-induced severe adverse reaction is a critical issue when selecting the best treatment for cancer patients. SNPs have been identified in genes involved in the pharmacodynamics of fluoropyrimidines, and guidelines even recommend genotyping some DPYD variants in order to estimate the risk of toxicity. However, the predictive value of this approach remains insufficient, thus limiting its clinical implementation. The aim of the present study was to identify new genetic variants by selecting a group of tag SNPs in genes associated with the pharmacodynamics of fluoropyrimidines (CDA, DPYD, ENOSF1, CES1, TYMS, SLC22A7, TYMP, and UMPS). For this purpose, 23 selected SNPs were genotyped on an OpenArray™ platform in a cohort of 301 colorectal cancer patients receiving capecitabine-based chemotherapy. Univariate and multivariate statistical analysis by logistic regression revealed 10 SNPs associated with severe adverse reactions to capecitabine (P<0.05): rs1048977, rs12726436, and rs2072671 in CDA; rs12119882 in DPYD; rs2853741 in TYMS; rs699517 in TYMS/ENOSF1; rs2270860 and rs4149178 in SLC22A7; and rs2279199 and rs4678145 in UMPS. Except for rs2072671, no association had previously been reported between these SNPs and the risk of capecitabine-induced toxicity. The use of tag SNPs to find new polymorphisms related to adverse reactions to capecitabine was successful. These new variants could increase the predictive power of currently available tests and thus prevent severe adverse reactions to capecitabine. |
X Demographics
The data shown below were collected from the profiles of 13 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 8 | 62% |
| Chile | 1 | 8% |
| Unknown | 4 | 31% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 11 | 85% |
| Practitioners (doctors, other healthcare professionals) | 2 | 15% |
Mendeley readers
The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 55 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 12 | 22% |
| Student > Master | 10 | 18% |
| Researcher | 8 | 15% |
| Student > Doctoral Student | 3 | 5% |
| Student > Ph. D. Student | 3 | 5% |
| Other | 6 | 11% |
| Unknown | 13 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 14 | 25% |
| Pharmacology, Toxicology and Pharmaceutical Science | 10 | 18% |
| Biochemistry, Genetics and Molecular Biology | 8 | 15% |
| Agricultural and Biological Sciences | 4 | 7% |
| Unspecified | 1 | 2% |
| Other | 4 | 7% |
| Unknown | 14 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 02 March 2023.
All research outputs
#3,010,295
of 25,382,440 outputs
Outputs from Pharmacological Research
#378
of 3,504 outputs
Outputs of similar age
#52,938
of 323,059 outputs
Outputs of similar age from Pharmacological Research
#7
of 58 outputs
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