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Cancer Prognostics by Direct Detection of p53‐Antibodies on Gold Surfaces by Impedance Measurements

Authors: Prats-Alfonso, Elisabet; Sisquella, Xavier; Zine, Nadia; Gabriel, Gemma; Guimerà, Anton; del Campo, F Javier; Villa, Rosa; +5 Authors

Cancer Prognostics by Direct Detection of p53‐Antibodies on Gold Surfaces by Impedance Measurements

Abstract

AbstractThe identification and measurement of biomarkers is critical to a broad range of methods that diagnose and monitor many diseases. Serum auto‐antibodies are rapidly becoming interesting targets because of their biological and medical relevance. This paper describes a highly sensitive, label‐free approach for the detection of p53‐antibodies, a prognostic indicator in ovarian cancer as well as a biomarker in the early stages of other cancers. This approach uses impedance measurements on gold microelectrodes to measure antibody concentrations at the picomolar level in undiluted serum samples. The biosensor shows high selectivity as a result of the optimization of the epitopes responsible for the detection of p53‐antibodies and was validated by several techniques including microcontact printing, self‐assembled‐monolayer desorption ionization (SAMDI) mass spectrometry, and adhesion pull‐off force by atomic force microscopy (AFM). This transduction method will lead to fast and accurate diagnostic tools for the early detection of cancer and other diseases.

Country
Spain
Keywords

biomedical applications | biosensors | cancer prognostics | characterization tools | self-assembly, Electric Impedance, Humans, Female, Biosensing Techniques, Tumor Suppressor Protein p53, Microscopy, Atomic Force, Antibodies

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
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21
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35
35
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