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Multiplex quantitative analysis of cancer-associated fibroblasts and immunotherapy outcome in metastatic melanoma

BACKGROUND: The cancer-associated fibroblast (CAF) population is implicated in immune dysregulation. Here, we test the hypothesis that CAF profiles in pretreatment tumor specimens are associated with response to immune checkpoint blockade of programmed cell death 1 (PD-1). METHODS: Pretreatment whol...

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Autores principales: Wong, Pok Fai, Wei, Wei, Gupta, Swati, Smithy, James W., Zelterman, Daniel, Kluger, Harriet M., Rimm, David L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6651990/
https://www.ncbi.nlm.nih.gov/pubmed/31337426
http://dx.doi.org/10.1186/s40425-019-0675-0
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author Wong, Pok Fai
Wei, Wei
Gupta, Swati
Smithy, James W.
Zelterman, Daniel
Kluger, Harriet M.
Rimm, David L.
author_facet Wong, Pok Fai
Wei, Wei
Gupta, Swati
Smithy, James W.
Zelterman, Daniel
Kluger, Harriet M.
Rimm, David L.
author_sort Wong, Pok Fai
collection PubMed
description BACKGROUND: The cancer-associated fibroblast (CAF) population is implicated in immune dysregulation. Here, we test the hypothesis that CAF profiles in pretreatment tumor specimens are associated with response to immune checkpoint blockade of programmed cell death 1 (PD-1). METHODS: Pretreatment whole tissue sections from 117 melanoma patients treated with anti-PD-1 therapy were assessed by multiplex immunofluorescence to detect CAFs defined by Thy1, smooth muscle actin (SMA), and fibroblast activation protein (FAP). Two independent image analysis technologies were used: inForm software (PerkinElmer) to quantify cell counts, and AQUA™ to measure protein by quantitative immunofluorescence (QIF). CAF parameters by both methodologies were assessed for association with previously measured immune markers (CD3, CD4, CD8, CD20, CD68, PD-L1), best overall response, progression-free survival (PFS), and overall survival (OS). RESULTS: CAF parameters, by cell counts or QIF, did not correlate with immune markers nor with best overall response. However, both Thy1 and FAP cell counts had significant positive associations with PFS (all P < 0.05) and OS (all P < 0.003). SMA cell counts showed negative associations with outcome in anti-PD-1 treated patients. Similar associations were not observed in a control cohort of historical melanoma patients predating immunotherapy. Instead, FAP was a negative prognostic biomarker (P = 0.01) in the absence of immunotherapy. Multivariable analyses revealed significant PFS and OS associations with the CAF parameters were independent of baseline variables. CONCLUSIONS: Pretreatment CAF profiles are associated with melanoma immunotherapy outcome. Multiplex CAF analysis has potential as an objective companion diagnostic in immuno-oncology. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s40425-019-0675-0) contains supplementary material, which is available to authorized users.
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spelling pubmed-66519902019-07-31 Multiplex quantitative analysis of cancer-associated fibroblasts and immunotherapy outcome in metastatic melanoma Wong, Pok Fai Wei, Wei Gupta, Swati Smithy, James W. Zelterman, Daniel Kluger, Harriet M. Rimm, David L. J Immunother Cancer Research Article BACKGROUND: The cancer-associated fibroblast (CAF) population is implicated in immune dysregulation. Here, we test the hypothesis that CAF profiles in pretreatment tumor specimens are associated with response to immune checkpoint blockade of programmed cell death 1 (PD-1). METHODS: Pretreatment whole tissue sections from 117 melanoma patients treated with anti-PD-1 therapy were assessed by multiplex immunofluorescence to detect CAFs defined by Thy1, smooth muscle actin (SMA), and fibroblast activation protein (FAP). Two independent image analysis technologies were used: inForm software (PerkinElmer) to quantify cell counts, and AQUA™ to measure protein by quantitative immunofluorescence (QIF). CAF parameters by both methodologies were assessed for association with previously measured immune markers (CD3, CD4, CD8, CD20, CD68, PD-L1), best overall response, progression-free survival (PFS), and overall survival (OS). RESULTS: CAF parameters, by cell counts or QIF, did not correlate with immune markers nor with best overall response. However, both Thy1 and FAP cell counts had significant positive associations with PFS (all P < 0.05) and OS (all P < 0.003). SMA cell counts showed negative associations with outcome in anti-PD-1 treated patients. Similar associations were not observed in a control cohort of historical melanoma patients predating immunotherapy. Instead, FAP was a negative prognostic biomarker (P = 0.01) in the absence of immunotherapy. Multivariable analyses revealed significant PFS and OS associations with the CAF parameters were independent of baseline variables. CONCLUSIONS: Pretreatment CAF profiles are associated with melanoma immunotherapy outcome. Multiplex CAF analysis has potential as an objective companion diagnostic in immuno-oncology. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s40425-019-0675-0) contains supplementary material, which is available to authorized users. BioMed Central 2019-07-23 /pmc/articles/PMC6651990/ /pubmed/31337426 http://dx.doi.org/10.1186/s40425-019-0675-0 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Wong, Pok Fai
Wei, Wei
Gupta, Swati
Smithy, James W.
Zelterman, Daniel
Kluger, Harriet M.
Rimm, David L.
Multiplex quantitative analysis of cancer-associated fibroblasts and immunotherapy outcome in metastatic melanoma
title Multiplex quantitative analysis of cancer-associated fibroblasts and immunotherapy outcome in metastatic melanoma
title_full Multiplex quantitative analysis of cancer-associated fibroblasts and immunotherapy outcome in metastatic melanoma
title_fullStr Multiplex quantitative analysis of cancer-associated fibroblasts and immunotherapy outcome in metastatic melanoma
title_full_unstemmed Multiplex quantitative analysis of cancer-associated fibroblasts and immunotherapy outcome in metastatic melanoma
title_short Multiplex quantitative analysis of cancer-associated fibroblasts and immunotherapy outcome in metastatic melanoma
title_sort multiplex quantitative analysis of cancer-associated fibroblasts and immunotherapy outcome in metastatic melanoma
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6651990/
https://www.ncbi.nlm.nih.gov/pubmed/31337426
http://dx.doi.org/10.1186/s40425-019-0675-0
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