| Title |
Anti-heat shock protein autoantibody profiling in breast cancer using customized protein microarray
|
|---|---|
| Published in |
Analytical & Bioanalytical Chemistry, December 2015
|
| DOI | 10.1007/s00216-015-9257-2 |
| Pubmed ID | |
| Authors |
Liu Shi, Thomas Gehin, Yann Chevolot, Eliane Souteyrand, Alain Mangé, Jérôme Solassol, Emmanuelle Laurenceau |
| Abstract |
Heat shock proteins (HSPs) are over-expressed in a wide range of human cancers. It results in the stimulation of the immune system and consequently in elevated concentration of anti-HSP autoantibodies. Elevated anti-HSP autoantibodies were found in breast cancer patients, and they are associated with tumor metastasis. Therefore, screening these autoantibodies could be of diagnostic and prognostic values. Protein microarrays have already demonstrated their great potential as a diagnostic tool. However, protein diversity requires optimization of the microarray fabrication to achieve high sensitivity and specificity. In this study, seven HSPs were immobilized on six different surface chemistries. After evaluation and optimization with purified antibodies of the six surface chemistries, two surfaces were selected to detect anti-HSP autoantibodies in breast cancer sera. Multiplex detection of anti-HSP autoantibodies allowed discrimination of breast cancer patients (50) from healthy controls (26) with a sensitivity of 86 % and a specificity of 100 %. Graphical abstract Receiver operating characteristic (ROC) curve analysis for the discrimination between breast cancer patients and healthy controls: detection of individual autoantibody on optimal surface chemistry (COOH or chitosan surface) and combination (black line) of the detection of 7 autoantibodies. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 28 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 21% |
| Student > Bachelor | 5 | 18% |
| Professor > Associate Professor | 4 | 14% |
| Student > Ph. D. Student | 4 | 14% |
| Student > Master | 2 | 7% |
| Other | 2 | 7% |
| Unknown | 5 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 7 | 25% |
| Biochemistry, Genetics and Molecular Biology | 3 | 11% |
| Medicine and Dentistry | 3 | 11% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 7% |
| Immunology and Microbiology | 2 | 7% |
| Other | 5 | 18% |
| Unknown | 6 | 21% |
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 08 January 2016.
All research outputs
#20,656,820
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Outputs from Analytical & Bioanalytical Chemistry
#6,601
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Outputs of similar age
#294,973
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Outputs of similar age from Analytical & Bioanalytical Chemistry
#58
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