Literature DB >> 26163599

Immunosignature: Serum Antibody Profiling for Cancer Diagnostics.

Andrei I Chapoval1, J Bart Legutki, Philip Stafford, Andrey V Trebukhov, Stephen A Johnston, Yakov N Shoikhet, Alexander F Lazarev.   

Abstract

Biomarkers for preclinical diagnosis of cancer are valuable tools for detection of malignant tumors at early stages in groups at risk and screening healthy people, as well as monitoring disease recurrence after treatment of cancer. However the complexity of the body's response to the pathological processes makes it virtually impossible to evaluate this response to the development of the disease using a single biomarker that is present in the serum at low concentrations. An alternative approach to standard biomarker analysis is called immunosignature. Instead of going after biomarkers themselves this approach rely on the analysis of the humoral immune response to molecular changes associated with the development of pathological processes. It is known that antibodies are produced in response to proteins expressed during cancer development. Accordingly, the changes in antibody repertoire associated with tumor growth can serve as biomarkers of cancer. Immunosignature is a highly sensitive method for antibody repertoire analysis utilizing high density peptide microarrays. In the present review we discuss modern methods for antibody detection, as well as describe the principles and applications of immunosignature in research and clinical practice.

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Year:  2015        PMID: 26163599     DOI: 10.7314/apjcp.2015.16.12.4833

Source DB:  PubMed          Journal:  Asian Pac J Cancer Prev        ISSN: 1513-7368


  2 in total

1.  Humoral Immunity Profiling of Subjects with Myalgic Encephalomyelitis Using a Random Peptide Microarray Differentiates Cases from Controls with High Specificity and Sensitivity.

Authors:  Sahajpreet Singh; Phillip Stafford; Karen A Schlauch; Richard R Tillett; Martin Gollery; Stephen Albert Johnston; Svetlana F Khaiboullina; Kenny L De Meirleir; Shanti Rawat; Tatjana Mijatovic; Krishnamurthy Subramanian; András Palotás; Vincent C Lombardi
Journal:  Mol Neurobiol       Date:  2016-12-15       Impact factor: 5.590

2.  High-throughput epitope profiling of antibodies in the plasma of Alzheimer's disease patients using random peptide microarrays.

Authors:  Kyu-Young Sim; Sang-Heon Park; Kyu Yeong Choi; Jung Eun Park; Jung Sup Lee; Byeong C Kim; Jeonghwan Gwak; Woo Keun Song; Kun Ho Lee; Sung-Gyoo Park
Journal:  Sci Rep       Date:  2019-03-14       Impact factor: 4.379

  2 in total

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