Abstract
Single-molecule array (Simoa) technology enables ultrasensitive protein detection that is suited to the development of peripheral blood-based assays for assessing immuno-oncology responses. We adapted a panel of Simoa assays to measure systemic cytokine levels from plasma and characterized physiologic variation in healthy individuals and preanalytic variation arising from processing and handling of patient samples. Insights from these preclinical studies led us to a well-defined set of Simoa assay conditions, a specimen processing protocol, and a data processing approach that we describe here. Simoa enables accurate quantitation of soluble immune signaling molecules in an unprecedented femtomolar range, opening up the potential for liquid biopsy-type approaches in immuno-oncology. We are using the method described here to distinguish PD-1 inhibitor nonresponders as early as after one dose after therapy and envision applications in characterizing PD-1 inhibitor resistance and detection of immune-related adverse effects.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Ribas A, Wolchok JD (2018) Cancer immunotherapy using checkpoint blockade. Science 359:1350–1355
Topalian SL, Taube JM, Anders RA, Pardoll DM (2016) Mechanism-driven biomarkers to guide immune checkpoint blockade in cancer therapy. Nat Rev Cancer 16:275–287
Nishino M, Ramaiya NH, Hatabu H, Hodi FS (2017) Monitoring immune-checkpoint blockade: response evaluation and biomarker development. Nat Rev Clin Oncol 14:655–668
Chen P-L, Roh W, Reuben A, Cooper ZA, Spencer CN, Prieto PA et al (2016) Analysis of immune signatures in longitudinal tumor samples yields insight into biomarkers of response and mechanisms of resistance to immune checkpoint blockade. Cancer Discov 6:827–837
Vilain RE, Menzies AM, Wilmott JS, Kakavand H, Madore J, Guminski A et al (2017) Dynamic changes in PD-L1 expression and immune infiltrates early during treatment predict response to PD-1 blockade in melanoma. Clin Cancer Res 23:5024
Kamphorst AO, Pillai RN, Yang S, Nasti TH, Akondy RS, Wieland A et al (2017) Proliferation of PD-1+ CD8 T cells in peripheral blood after PD-1–targeted therapy in lung cancer patients. Proc Natl Acad Sci U S A 114:4993–4998
Krieg C, Nowicka M, Guglietta S, Schindler S, Hartmann FJ, Weber LM et al (2018) High-dimensional single-cell analysis predicts response to anti-PD-1 immunotherapy. Nat Med 24:144–153
Merker JD, Oxnard GR, Compton C, Diehn M, Hurley P, Lazar AJ et al (2018) Circulating tumor DNA analysis in patients with Cancer: American Society of Clinical Oncology and College of American Pathologists Joint Review. J Clin Oncol Off J Am Soc Clin Oncol 36:1631–1641
Aziz N (2015) Measurement of circulating cytokines and immune-activation markers by multiplex technology in the clinical setting: what are we really measuring? Forum Immunopathol Dis Ther 6:19–22
Yeung D, Ciotti S, Purushothama S, Gharakhani E, Kuesters G, Schlain B et al (2016) Evaluation of highly sensitive immunoassay technologies for quantitative measurements of sub-pg/mL levels of cytokines in human serum. J Immunol Methods 437:53–63
Cohen L, Keegan A, Melanson SEF, Walt DR (2019) Impact of clinical sample handling and processing on ultra-low level measurements of plasma cytokines. Clin Biochem 65:38–44
Rissin DM, Fournier DR, Piech T, Kan CW, Campbell TG, Song L et al (2011) Simultaneous detection of single molecules and singulated ensembles of molecules enables immunoassays with broad dynamic range. Anal Chem 83:2279–2285
Wilson DH, Rissin DM, Kan CW, Fournier DR, Piech T, Campbell TG et al (2016) The Simoa HD-1 analyzer: a novel fully automated digital immunoassay analyzer with single-molecule sensitivity and multiplexing. J Lab Autom 21:533–547
Wu D, Milutinovic MD, Walt DR (2015) Single molecule array (Simoa) assay with optimal antibody pairs for cytokine detection in human serum samples. Analyst 140:6277–6282
Vgontzas AN, Papanicolaou DA, Bixler EO, Lotsikas A, Zachman K, Kales A et al (1999) Circadian interleukin-6 secretion and quantity and depth of sleep. J Clin Endocrinol Metab 84:2603–2607
Ostrowski K, Rohde T, Zacho M, Asp S, Pedersen BK (1998) Evidence that interleukin-6 is produced in human skeletal muscle during prolonged running. J Physiol 508 (. Pt 3:949–953
Wedell-Neergaard A-S, Lang Lehrskov L, Christensen RH, Legaard GE, Dorph E, Larsen MK et al (2019) Exercise-induced changes in visceral adipose tissue mass are regulated by IL-6 signaling: a randomized controlled trial. Cell Metab 29(4):844–855.e3
Wu D, Dinh TL, Bausk BP, Walt DR (2017) Long-term measurements of human inflammatory cytokines reveal complex baseline variations between individuals. Am J Pathol 187:2620–2626
Bidwell J, Keen L, Gallagher G, Kimberly R, Huizinga T, McDermott MF et al (1999) Cytokine gene polymorphism in human disease: on-line databases. Genes Immun 1:3–19
In U.S. Department of Health and Human Services. FDA. Guidance for industry: bioanalytical method validation; 2013. p. 1–27
Cohen L, Walt DR (2018) Evaluation of antibody Biotinylation approaches for enhanced sensitivity of single molecule Array (Simoa) immunoassays. Bioconjug Chem 29:3452–3458
Wild D (2013) The immunoassay handbook: theory and applications of ligand binding, ELISA and related techniques, 4th edn. Elsevier, Amsterdam
FDA. Guidance for Industry: Bioanalytical method validation. US Dep Health Hum Serv; 2013. p. 1–27
Van Breukelen GJP (2006) ANCOVA versus change from baseline: more power in randomized studies, more bias in nonrandomized studies [corrected]. J Clin Epidemiol 59:920–925
Acknowledgments
L.C. and D.R.W. were funded by DARPA (HR0011-12-2-0001; Pass-through-entity: Univ. of North Carolina Chapel-Hill, subaward 5055065).
Conflict of Interest: The authors declare the following competing financial interest: David R. Walt is the scientific founder and a board member of Quanterix Corporation. All other authors declare no competing financial interest.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Science+Business Media, LLC, part of Springer Nature
About this protocol
Cite this protocol
Cohen, L., Keegan, A., Walt, D.R. (2020). Single-Molecule Arrays for Ultrasensitive Detection of Blood-Based Biomarkers for Immunotherapy. In: Thurin, M., Cesano, A., Marincola, F. (eds) Biomarkers for Immunotherapy of Cancer. Methods in Molecular Biology, vol 2055. Humana, New York, NY. https://doi.org/10.1007/978-1-4939-9773-2_18
Download citation
DOI: https://doi.org/10.1007/978-1-4939-9773-2_18
Published:
Publisher Name: Humana, New York, NY
Print ISBN: 978-1-4939-9772-5
Online ISBN: 978-1-4939-9773-2
eBook Packages: Springer Protocols