↓ Skip to main content

The effect of genetic variability on drug response in conventional breast cancer treatment

Overview of attention for article published in European Journal of Pharmacology, October 2009
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (84th percentile)
  • Good Attention Score compared to outputs of the same age and source (73rd percentile)

Mentioned by

blogs
1 blog

Citations

dimensions_citation
32 Dimensions

Readers on

mendeley
43 Mendeley
citeulike
1 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
The effect of genetic variability on drug response in conventional breast cancer treatment
Published in
European Journal of Pharmacology, October 2009
DOI 10.1016/j.ejphar.2009.08.045
Pubmed ID
Authors

Emilia Wiechec, Lise Lotte Hansen

Abstract

The conventional breast cancer diagnosis based mainly upon histopathology, hormone and HER-2 receptor status, will in the future be combined with information on genomic and epigenetic profiles of the individual patient. This will lead to an optimal personalized therapy, directed towards specific genomic aberrations, avoiding unnecessary toxicity, side effects and chemotherapeutic drugs for which the patient evolves resistance. Breast cancer is a very heterogeneous malignancy, expressing a considerable variation in genomic aberrations from deletions and amplifications comprising entire chromosomes to minor regions. A wide spectrum of differently expressed genes and mutations has been identified, adding information to the highly complex picture of the tumor genome. The vast majority of breast cancer incidents is of somatic origin and may be caused by a combination of the individual genetic profile and environmental exposure. A major contributor to the variation in genetic profile is the single nucleotide polymorphisms (SNPs), which are highly abundant throughout the genome, and both current and future methodologies have the potential to screen millions of SNP genotypes in one analysis. Identification of specific SNP genotypes affecting transcriptional activity and thereby the outcome for the patient, of genes involved in DNA repair, metabolizing of chemotherapeutic drugs and drug target genes will determine the outcome for the patient. This will be an essential part of the development of personalized treatment of cancer. In this review the focus is on clinically relevant SNPs in genes implicated in drug metabolism and disposition as well as their influence on breast cancer therapy toxicity and/or efficacy.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 2%
United States 1 2%
Unknown 41 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 23%
Researcher 7 16%
Student > Master 7 16%
Student > Postgraduate 5 12%
Student > Bachelor 3 7%
Other 5 12%
Unknown 6 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 14 33%
Medicine and Dentistry 9 21%
Biochemistry, Genetics and Molecular Biology 3 7%
Pharmacology, Toxicology and Pharmaceutical Science 3 7%
Chemistry 3 7%
Other 3 7%
Unknown 8 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 30 November 2009.
All research outputs
#3,798,611
of 25,374,647 outputs
Outputs from European Journal of Pharmacology
#539
of 8,585 outputs
Outputs of similar age
#13,390
of 106,273 outputs
Outputs of similar age from European Journal of Pharmacology
#14
of 61 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,585 research outputs from this source. They receive a mean Attention Score of 4.4. This one has done particularly well, scoring higher than 90% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 106,273 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% of its contemporaries.
We're also able to compare this research output to 61 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.