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Luminex xMAP Assay to Quantify Cytokines in Cancer Patient Serum

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Immune Mediators in Cancer

Abstract

Cytokines, chemokines, and growth factors are key mediators of cell proliferation, migration, and immune response, and in tumor microenvironment, such factors contribute to regulation of tumor growth, immune cell recruitment, angiogenesis, and metastasis. In body fluids, levels of inflammatory mediators reflect the patient immune response to the disease and may predict the effects of targeted therapies. Significant improvements in cytokine detection techniques have been made during last 10 years leading to sensitive quantification of such potent molecules present in low pg/mL levels. Among the techniques, Luminex xMAP® multiplex assays allow for simultaneous quantification of up to 100 analytes with high sensitivity, broad dynamic range of quantification, high throughput, and minimal sample requirements. In this chapter we describe a detailed protocol for the application of xMAP assays using Luminex® 200™ analyzer with xPonent® acquisition software to quantify cytokines, chemokines, and growth factors secreted to blood serum and plasma of cancer patients. We also discuss how sample preparation, instrument settings, and standard curve fitting algorithms can influence validity of obtained results. Special attention is paid to data analysis using open source R statistical environment and we provide an example dataset of cytokine levels measured in serum and corresponding R script for standard curve fitting and concentration estimates.

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References

  1. Molinaro R, Corbo C, Livingston M et al (2018) Inflammation and cancer: in medio stat nano. Curr Med Chem 25:4208–4223

    Article  CAS  Google Scholar 

  2. Nakamura K, Smyth MJ (2017) Targeting cancer-related inflammation in the era of immunotherapy. Immunol Cell Biol 95:325–332

    Article  CAS  Google Scholar 

  3. Lacina L, Plzak J, Kodet O et al (2015) Cancer microenvironment: what can we learn from the stem cell niche. Int J Mol Sci 16:24094–24110

    Article  Google Scholar 

  4. Dvořánková B, Szabo P, Kodet O et al (2017) Intercellular crosstalk in human malignant melanoma. Protoplasma 254:1143–1150

    Article  Google Scholar 

  5. Kupcova Skalnikova H, Cizkova J, Cervenka J et al (2017) Advances in proteomic techniques for cytokine analysis: focus on melanoma research. Int J Mol Sci 18:2697

    Article  Google Scholar 

  6. Valekova I, Skalnikova HK, Jarkovska K et al (2015) Multiplex immunoassays for quantification of cytokines, growth factors, and other proteins in stem cell communication. Methods Mol Biol 1212:39–63

    Article  Google Scholar 

  7. Fu Q, Zhu J, Eyk JEV (2010) Comparison of multiplex immunoassay platforms. Clin Chem 56:314–318

    Article  CAS  Google Scholar 

  8. Rosenberg-Hasson Y, Hansmann L, Liedtke M et al (2014) Effects of serum and plasma matrices on multiplex immunoassays. Immunol Res 58:224–233

    Article  CAS  Google Scholar 

  9. R Core Team (2018) R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna

    Google Scholar 

  10. Wickham H, RStudio (2017) tidyverse: easily install and load the “tidyverse”. https://CRAN.R-project.org/package=tidyverse

  11. Introduction to cowplot. https://cran.r-project.org/web/packages/cowplot/vignettes/introduction.html

  12. Sanz H, Aponte JJ, Harezlak J et al (2017) drLumi: an open-source package to manage data, calibrate, and conduct quality control of multiplex bead-based immunoassays data analysis. PLoS One 12:e0187901

    Article  Google Scholar 

  13. Sanz, H, Aponte JJ, Harezlak J et al (2015) drLumi: Multiplex Immunoassays Data Analysis. https://CRAN.R-project.org/package=drLumi

  14. Fong Y, Sebestyen K, Yu X et al (2013) nCal: an R package for non-linear calibration. Bioinformatics 29:2653–2654

    Article  CAS  Google Scholar 

  15. Fong Y, Sebestyen K, Yu X (2018) nCal: Nonlinear Calibration. https://CRAN.R-project.org/package=nCal

  16. RStudio Team (2018) RStudio: integrated development environment for R. RStudio, Inc., Boston, MA

    Google Scholar 

  17. Findlay JWA, Dillard RF (2007) Appropriate calibration curve fitting in ligand binding assays. AAPS J 9:E260–E267

    Article  Google Scholar 

  18. Fong Y, Yu X (2016) Transformation model choice in nonlinear regression analysis of fluorescence-based serial dilution assays. Stat Biopharm Res 8:1–11

    Article  Google Scholar 

  19. Ritz C, Streibig JC (2005) Bioassay analysis using R. J Stat Softw 12:1–22

    Article  Google Scholar 

  20. Chaturvedi AK, Kemp TJ, Pfeiffer RM et al (2011) Evaluation of multiplexed cytokine and inflammation marker measurements: a methodologic study. Cancer Epidemiol Biomark Prev 20:1902–1911

    Article  CAS  Google Scholar 

  21. Breen EJ, Tan W, Khan A (2016) The statistical value of raw fluorescence signal in Luminex xMAP based multiplex immunoassays. Sci Rep 6:26996

    Article  CAS  Google Scholar 

  22. Won J-H, Goldberger O, Shen-Orr SS et al (2012) Significance analysis of xMap cytokine bead arrays. Proc Natl Acad Sci U S A 109:2848–2853

    Article  CAS  Google Scholar 

  23. Clarke DC, Morris MK, Lauffenburger DA (2013) Normalization and statistical analysis of multiplexed bead-based immunoassay data using mixed-effects modeling. Mol Cell Proteomics 12:245–262

    Article  Google Scholar 

  24. Breen EJ (2017) Protein multiplexed immunoassay analysis with R. In: Greening DW, Simpson RJ (eds) Serum/plasma proteomics: methods and protocols. Springer New York, New York, NY, pp 495–537

    Google Scholar 

  25. Bates D, Mächler M, Bolker B et al (2015) Fitting linear mixed-effects models using lme4. J Stat Softw 1406:67

    Google Scholar 

  26. Bates D, Mächler M, Bolker B, et al (2018) lme4: Linear Mixed-Effects Models using “Eigen” and S4. https://CRAN.R-project.org/package=lme4

  27. Ringnér M (2008) What is principal component analysis? Nat Biotechnol 26:303–304

    Article  Google Scholar 

  28. van der Maaten L, Hinton G (2008) Visualizing data using t-SNE. J Mach Learn Res 9:2579–2605

    Google Scholar 

  29. Mani A, Ravindran R, Mannepalli S et al (2015) Data mining strategies to improve multiplex microbead immunoassay tolerance in a mouse model of infectious diseases. PLoS One 10:e0116262

    Article  Google Scholar 

  30. Dugué B, Leppänen E, Gräsbeck R (1996) Preanalytical factors and the measurement of cytokines in human subjects. Int J Clin Lab Res 26:99–105

    Article  Google Scholar 

  31. Lee J-E, Kim J-W, Han B-G et al (2016) Impact of whole-blood processing conditions on plasma and serum concentrations of cytokines. Biopreserv Biobank 14:51–55

    Article  CAS  Google Scholar 

  32. Brøndum L, Sørensen BS, Eriksen JG et al (2016) An evaluation of multiplex bead-based analysis of cytokines and soluble proteins in archived lithium heparin plasma, EDTA plasma and serum samples. Scand J Clin Lab Invest 76:601–611

    Article  Google Scholar 

  33. Scholman RC, Giovannone B, Hiddingh S et al (2018) Effect of anticoagulants on 162 circulating immune related proteins in healthy subjects. Cytokine 106:114–124

    Article  CAS  Google Scholar 

  34. Moncunill G, Campo JJ, Dobaño C (2014) Quantification of multiple cytokines and chemokines using cytometric bead arrays. Methods Mol Biol 1172:65–86

    Article  Google Scholar 

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Acknowledgements

This study was supported by Ministry of Education, Youth and Sports of the Czech Republic under National Sustainability Program I (project LO1609) and under Operational Programme Research, Development and Education (project CZ.02.1.01/0.0/0.0/16_019/0000785).

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Correspondence to Petr Vodicka PhD .

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Kupcova Skalnikova, H., Vodickova Kepkova, K., Vodicka, P. (2020). Luminex xMAP Assay to Quantify Cytokines in Cancer Patient Serum. In: Vancurova, I., Zhu, Y. (eds) Immune Mediators in Cancer. Methods in Molecular Biology, vol 2108. Humana, New York, NY. https://doi.org/10.1007/978-1-0716-0247-8_6

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  • DOI: https://doi.org/10.1007/978-1-0716-0247-8_6

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  • Publisher Name: Humana, New York, NY

  • Print ISBN: 978-1-0716-0246-1

  • Online ISBN: 978-1-0716-0247-8

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