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Pathway-Based Analysis of Genome-Wide Association Data Identified SNPs in HMMR as Biomarker for Chemotherapy- Induced Neutropenia in Breast Cancer Patients

Overview of attention for article published in Frontiers in Pharmacology, March 2018
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Title
Pathway-Based Analysis of Genome-Wide Association Data Identified SNPs in HMMR as Biomarker for Chemotherapy- Induced Neutropenia in Breast Cancer Patients
Published in
Frontiers in Pharmacology, March 2018
DOI 10.3389/fphar.2018.00158
Pubmed ID
Authors

Behzad Bidadi, Duan Liu, Krishna R. Kalari, Matthias Rubner, Alexander Hein, Matthias W. Beckmann, Brigitte Rack, Wolfgang Janni, Peter A. Fasching, Richard M. Weinshilboum, Liewei Wang

Abstract

Neutropenia secondary to chemotherapy in breast cancer patients can be life-threatening and there are no biomarkers available to predict the risk of drug-induced neutropenia in those patients. We previously performed a genome-wide association study (GWAS) for neutropenia events in women with breast cancer who were treated with 5-fluorouracil, epirubicin and cyclophosphamide and recruited to the SUCCESS-A trial. A genome-wide significant single-nucleotide polymorphism (SNP) signal in the tumor necrosis factor superfamily member 13B (TNFSF13B) gene, encoding the cytokine B-cell activating factor (BAFF), was identified in that GWAS. Taking advantage of these existing GWAS data, in the present study we utilized a pathway-based analysis approach by leveraging knowledge of the pharmacokinetics and pharmacodynamics of drugs and breast cancer pathophysiology to identify additional SNPs/genes associated with the underlying etiology of chemotherapy-induced neutropenia. We identified three SNPs in the hyaluronan mediated motility receptor (HMMR)gene that were significantly associated with neutropenia (p< 1.0E-04). Those three SNPs were trans-expression quantitative trait loci for the expression ofTNFSF13B(p< 1.0E-04). The minor allele of theseHMMRSNPs was associated with a decreasedTNFSF13BmRNA level. Additional functional studies performed with lymphoblastoid cell lines (LCLs) demonstrated that LCLs possessing the minor allele for theHMMRSNPs were more sensitive to drug treatment. Knock-down ofTNFSF13Bin LCLs and HL-60 promyelocytic cells and treatment of those cells with BAFF modulated the cell sensitivity to chemotherapy treatment. These results demonstrate thatHMMRSNP-dependent cytotoxicity of these chemotherapeutic agents might be related toTNFSF13Bexpression level. In summary, utilizing a pathway-based approach for the analysis of GWAS data, we identified additional SNPs in theHMMRgene that were associated with neutropenia and also were correlated withTNFSF13Bexpression.

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The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 30 100%

Demographic breakdown

Readers by professional status Count As %
Student > Postgraduate 5 17%
Researcher 5 17%
Student > Doctoral Student 4 13%
Professor 3 10%
Student > Bachelor 2 7%
Other 5 17%
Unknown 6 20%
Readers by discipline Count As %
Medicine and Dentistry 12 40%
Biochemistry, Genetics and Molecular Biology 4 13%
Agricultural and Biological Sciences 3 10%
Pharmacology, Toxicology and Pharmaceutical Science 2 7%
Neuroscience 1 3%
Other 1 3%
Unknown 7 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 March 2018.
All research outputs
#14,969,772
of 23,026,672 outputs
Outputs from Frontiers in Pharmacology
#5,298
of 16,337 outputs
Outputs of similar age
#202,030
of 333,594 outputs
Outputs of similar age from Frontiers in Pharmacology
#130
of 378 outputs
Altmetric has tracked 23,026,672 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 16,337 research outputs from this source. They receive a mean Attention Score of 5.0. This one has gotten more attention than average, scoring higher than 60% 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 333,594 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 378 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 59% of its contemporaries.