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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...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2023
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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. |
format | Online Article Text |
id | pubmed-10603328 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
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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