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Plasma alpha-1-acid glycoprotein as a potential predictive biomarker for non-haematological adverse events of docetaxel in breast cancer patients

Overview of attention for article published in Biomarkers, June 2017
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Title
Plasma alpha-1-acid glycoprotein as a potential predictive biomarker for non-haematological adverse events of docetaxel in breast cancer patients
Published in
Biomarkers, June 2017
DOI 10.1080/1354750x.2017.1334152
Pubmed ID
Authors

Rafid Salim Jabir, Gwo Fuang Ho, Muhammad Azrif Bin Ahmad Annuar, Johnson Stanslas

Abstract

Rash and oral mucositis are major non-haematological adverse events (AEs) of docetaxel, in addition to fatigue, nausea, vomiting and diarrhoea, which restrict the use of the drug in cancer therapy. Alpha-1-acid glycoprotein (AAG) is an acute phase reactant glycoprotein and is a primary carrier of docetaxel in the blood. Docetaxel has extensive binding (>98%) to plasma proteins such as AAG, lipoproteins and albumin. To study the association between plasma AAG level and non-haematological AEs of docetaxel in Malaysian breast cancer patients of three major ethnic groups (Malays, Chinese and Indians). One hundred and twenty Malaysian breast cancer patients receiving docetaxel as single agent chemotherapy were investigated for AAG plasma level using Enzyme Linked Immunosorbent Assay technique. Toxicity assessment was determined using Common terminology Criteria of Adverse Events v4.0. The association between AAG and toxicity were then made. There was inter-ethnic variation of plasma AAG level; it was 182±85 mg/dl in Chinese, 237±94 mg/dl in Malays and 240±83 mg/dl in Indians. It was found that low plasma levels of AAG were significantly associated with oral mucositis and rash. This study proposes plasma AAG as a potential predictive biomarker of docetaxel non-haematological AEs namely oral mucositis and rash.

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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 > Bachelor 5 17%
Student > Ph. D. Student 3 10%
Researcher 3 10%
Professor 3 10%
Other 2 7%
Other 6 20%
Unknown 8 27%
Readers by discipline Count As %
Medicine and Dentistry 10 33%
Nursing and Health Professions 3 10%
Biochemistry, Genetics and Molecular Biology 2 7%
Sports and Recreations 1 3%
Immunology and Microbiology 1 3%
Other 2 7%
Unknown 11 37%
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 31 May 2017.
All research outputs
#20,425,762
of 22,977,819 outputs
Outputs from Biomarkers
#465
of 559 outputs
Outputs of similar age
#276,002
of 317,259 outputs
Outputs of similar age from Biomarkers
#4
of 5 outputs
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