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Detection of Uveal Melanoma by Multiplex Immunoassays of Serum Biomarkers

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Melanoma

Part of the book series: Methods in Molecular Biology ((MIMB,volume 2265))

Abstract

Multiplex immunoassays simultaneously measure multiple analytes in a single sample providing quantitative data via parallel analyses, which is especially suitable for serum biomarker verification and validation. Multiplex immunoassays demonstrate several advantages over traditional enzyme-linked immunosorbent assays such as increasing productivity, conserving critical reagents and samples, and delivering results quickly. Here we describe the detection of uveal melanoma by magnetic bead-based multiplex immunoassays of serum biomarkers. The biomarker panels evaluated by multiplex immunoassays with high analytical performance demonstrated potential complementary values in detection of uveal melanoma.

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Abbreviations

OPN:

osteopontin

CEACAM-1:

carcinoembryonic antigen–related cell adhesion molecule 1

MIC-1:

macrophage inhibitory cytokine-1

MIA:

melanoma inhibitory activity

SPON1:

spondin1

POSTN:

periostin

HSP27:

heat shock protein 27

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Acknowledgments

This work was supported by grants from the NIH/NCI Early Detection Research Network, U24 CA115102 and U01 CA200469.

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Authors and Affiliations

  1. Center for Biomarker Discovery and Translation, Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA

    Jin Song, Zhen Zhang & Daniel W. Chan

Authors
  1. Jin Song
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  2. Zhen Zhang
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  3. Daniel W. Chan
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Corresponding author

Correspondence to Jin Song .

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Editors and Affiliations

  1. Department of Biology, Hampden-Sydney College, Hampden-Sydney, VA, USA

    Kristian M. Hargadon

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Song, J., Zhang, Z., Chan, D.W. (2021). Detection of Uveal Melanoma by Multiplex Immunoassays of Serum Biomarkers. In: Hargadon, K.M. (eds) Melanoma. Methods in Molecular Biology, vol 2265. Humana, New York, NY. https://doi.org/10.1007/978-1-0716-1205-7_32

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  • DOI: https://doi.org/10.1007/978-1-0716-1205-7_32

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  • Publisher Name: Humana, New York, NY

  • Print ISBN: 978-1-0716-1204-0

  • Online ISBN: 978-1-0716-1205-7

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