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Classification of the tumor immune microenvironment and associations with outcomes in patients with metastatic melanoma treated with immunotherapies

BACKGROUND: Tumor microenvironment (TME) characteristics are potential biomarkers of response to immune checkpoint inhibitors in metastatic melanoma. This study developed a method to perform unsupervised classification of TME of metastatic melanoma. METHODS: We used multiplex immunohistochemical and...

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Autores principales: Adegoke, Nurudeen A, Gide, Tuba N, Mao, Yizhe, Quek, Camelia, Patrick, Ellis, Carlino, Matteo S, Lo, Serigne N, Menzies, Alexander Maxwell, Pires da Silva, Ines, Vergara, Ismael A, Long, Georgina, Scolyer, Richard A, Wilmott, James S
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10603328/
https://www.ncbi.nlm.nih.gov/pubmed/37865395
http://dx.doi.org/10.1136/jitc-2023-007144
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author Adegoke, Nurudeen A
Gide, Tuba N
Mao, Yizhe
Quek, Camelia
Patrick, Ellis
Carlino, Matteo S
Lo, Serigne N
Menzies, Alexander Maxwell
Pires da Silva, Ines
Vergara, Ismael A
Long, Georgina
Scolyer, Richard A
Wilmott, James S
author_facet Adegoke, Nurudeen A
Gide, Tuba N
Mao, Yizhe
Quek, Camelia
Patrick, Ellis
Carlino, Matteo S
Lo, Serigne N
Menzies, Alexander Maxwell
Pires da Silva, Ines
Vergara, Ismael A
Long, Georgina
Scolyer, Richard A
Wilmott, James S
author_sort Adegoke, Nurudeen A
collection PubMed
description BACKGROUND: Tumor microenvironment (TME) characteristics are potential biomarkers of response to immune checkpoint inhibitors in metastatic melanoma. This study developed a method to perform unsupervised classification of TME of metastatic melanoma. METHODS: We used multiplex immunohistochemical and quantitative pathology-derived assessment of immune cell compositions of intratumoral and peritumoral regions of metastatic melanoma baseline biopsies to classify TME in relation to response to anti-programmed cell death protein 1 (PD-1) monotherapy or in combination with anti-cytotoxic T-cell lymphocyte-4 (ipilimumab (IPI)+PD-1). RESULTS: Spatial profiling of CD8+T cells, macrophages, and melanoma cells, as well as phenotypic PD-1 receptor ligand (PD-L1) and CD16 proportions, were used to identify and classify patients into one of three mutually exclusive TME classes: immune-scarce, immune-intermediate, and immune-rich tumors. Patients with immune-rich tumors were characterized by a lower proportion of melanoma cells and higher proportions of immune cells, including higher PD-L1 expression. These patients had higher response rates and longer progression-free survival (PFS) than those with immune-intermediate and immune-scarce tumors. At a median follow-up of 18 months (95% CI: 6.7 to 49 months), the 1-year PFS was 76% (95% CI: 64% to 90%) for patients with an immune-rich tumor, 56% (95% CI: 44% to 72%) for those with an immune-intermediate tumor, and 33% (95% CI: 23% to 47%) for patients with an immune-scarce tumor. A higher response rate was observed in patients with an immune-scarce or immune-intermediate tumor when treated with IPI+PD-1 compared with those treated with PD-1 alone. CONCLUSIONS: Our study provides an automatic TME classification method that may predict the clinical efficacy of immunotherapy for patients with metastatic melanoma.
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spelling pubmed-106033282023-10-28 Classification of the tumor immune microenvironment and associations with outcomes in patients with metastatic melanoma treated with immunotherapies Adegoke, Nurudeen A Gide, Tuba N Mao, Yizhe Quek, Camelia Patrick, Ellis Carlino, Matteo S Lo, Serigne N Menzies, Alexander Maxwell Pires da Silva, Ines Vergara, Ismael A Long, Georgina Scolyer, Richard A Wilmott, James S J Immunother Cancer Clinical/Translational Cancer Immunotherapy BACKGROUND: Tumor microenvironment (TME) characteristics are potential biomarkers of response to immune checkpoint inhibitors in metastatic melanoma. This study developed a method to perform unsupervised classification of TME of metastatic melanoma. METHODS: We used multiplex immunohistochemical and quantitative pathology-derived assessment of immune cell compositions of intratumoral and peritumoral regions of metastatic melanoma baseline biopsies to classify TME in relation to response to anti-programmed cell death protein 1 (PD-1) monotherapy or in combination with anti-cytotoxic T-cell lymphocyte-4 (ipilimumab (IPI)+PD-1). RESULTS: Spatial profiling of CD8+T cells, macrophages, and melanoma cells, as well as phenotypic PD-1 receptor ligand (PD-L1) and CD16 proportions, were used to identify and classify patients into one of three mutually exclusive TME classes: immune-scarce, immune-intermediate, and immune-rich tumors. Patients with immune-rich tumors were characterized by a lower proportion of melanoma cells and higher proportions of immune cells, including higher PD-L1 expression. These patients had higher response rates and longer progression-free survival (PFS) than those with immune-intermediate and immune-scarce tumors. At a median follow-up of 18 months (95% CI: 6.7 to 49 months), the 1-year PFS was 76% (95% CI: 64% to 90%) for patients with an immune-rich tumor, 56% (95% CI: 44% to 72%) for those with an immune-intermediate tumor, and 33% (95% CI: 23% to 47%) for patients with an immune-scarce tumor. A higher response rate was observed in patients with an immune-scarce or immune-intermediate tumor when treated with IPI+PD-1 compared with those treated with PD-1 alone. CONCLUSIONS: Our study provides an automatic TME classification method that may predict the clinical efficacy of immunotherapy for patients with metastatic melanoma. BMJ Publishing Group 2023-10-20 /pmc/articles/PMC10603328/ /pubmed/37865395 http://dx.doi.org/10.1136/jitc-2023-007144 Text en © Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Clinical/Translational Cancer Immunotherapy
Adegoke, Nurudeen A
Gide, Tuba N
Mao, Yizhe
Quek, Camelia
Patrick, Ellis
Carlino, Matteo S
Lo, Serigne N
Menzies, Alexander Maxwell
Pires da Silva, Ines
Vergara, Ismael A
Long, Georgina
Scolyer, Richard A
Wilmott, James S
Classification of the tumor immune microenvironment and associations with outcomes in patients with metastatic melanoma treated with immunotherapies
title Classification of the tumor immune microenvironment and associations with outcomes in patients with metastatic melanoma treated with immunotherapies
title_full Classification of the tumor immune microenvironment and associations with outcomes in patients with metastatic melanoma treated with immunotherapies
title_fullStr Classification of the tumor immune microenvironment and associations with outcomes in patients with metastatic melanoma treated with immunotherapies
title_full_unstemmed Classification of the tumor immune microenvironment and associations with outcomes in patients with metastatic melanoma treated with immunotherapies
title_short Classification of the tumor immune microenvironment and associations with outcomes in patients with metastatic melanoma treated with immunotherapies
title_sort classification of the tumor immune microenvironment and associations with outcomes in patients with metastatic melanoma treated with immunotherapies
topic Clinical/Translational Cancer Immunotherapy
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10603328/
https://www.ncbi.nlm.nih.gov/pubmed/37865395
http://dx.doi.org/10.1136/jitc-2023-007144
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