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The tumor microbiome as a predictor of outcomes in patients with metastatic melanoma treated with immune checkpoint inhibitors
Emerging evidence supports the important role of the tumor microbiome in oncogenesis, cancer immune phenotype, cancer progression, and treatment outcomes in many malignancies. In this study, we investigated the metastatic melanoma tumor microbiome and potential roles in association with clinical out...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Cold Spring Harbor Laboratory
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10245822/ https://www.ncbi.nlm.nih.gov/pubmed/37292921 http://dx.doi.org/10.1101/2023.05.24.542123 |
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author | Wheeler, Caroline E. Coleman, Samuel S. Hoyd, Rebecca Denko, Louis Chan, Carlos H.F. Churchman, Michelle L. Denko, Nicholas Dodd, Rebecca D. Eljilany, Islam Hardikar, Sheetal Husain, Marium Ikeguchi, Alexandra P. Jin, Ning Ma, Qin McCarter, Martin D. Osman, Afaf E.G. Robinson, Lary A. Singer, Eric A. Tinoco, Gabriel Ulrich, Cornelia M. Zakharia, Yousef Spakowicz, Daniel Tarhini, Ahmad A. Tan, Aik Choon |
author_facet | Wheeler, Caroline E. Coleman, Samuel S. Hoyd, Rebecca Denko, Louis Chan, Carlos H.F. Churchman, Michelle L. Denko, Nicholas Dodd, Rebecca D. Eljilany, Islam Hardikar, Sheetal Husain, Marium Ikeguchi, Alexandra P. Jin, Ning Ma, Qin McCarter, Martin D. Osman, Afaf E.G. Robinson, Lary A. Singer, Eric A. Tinoco, Gabriel Ulrich, Cornelia M. Zakharia, Yousef Spakowicz, Daniel Tarhini, Ahmad A. Tan, Aik Choon |
author_sort | Wheeler, Caroline E. |
collection | PubMed |
description | Emerging evidence supports the important role of the tumor microbiome in oncogenesis, cancer immune phenotype, cancer progression, and treatment outcomes in many malignancies. In this study, we investigated the metastatic melanoma tumor microbiome and potential roles in association with clinical outcomes, such as survival, in patients with metastatic disease treated with immune checkpoint inhibitors (ICIs). Baseline tumor samples were collected from 71 patients with metastatic melanoma before treatment with ICIs. Bulk RNA-seq was conducted on the formalin-fixed paraffin-embedded (FFPE) tumor samples. Durable clinical benefit (primary clinical endpoint) following ICIs was defined as overall survival ≥24 months and no change to the primary drug regimen (responders). We processed RNA-seq reads to carefully identify exogenous sequences using the {exotic} tool. The 71 patients with metastatic melanoma ranged in age from 24 to 83 years, 59% were male, and 55% survived >24 months following the initiation of ICI treatment. Exogenous taxa were identified in the tumor RNA-seq, including bacteria, fungi, and viruses. We found differences in gene expression and microbe abundances in immunotherapy responsive versus non-responsive tumors. Responders showed significant enrichment of several microbes including Fusobacterium nucleatum, and non-responders showed enrichment of fungi, as well as several bacteria. These microbes correlated with immune-related gene expression signatures. Finally, we found that models for predicting prolonged survival with immunotherapy using both microbe abundances and gene expression outperformed models using either dataset alone. Our findings warrant further investigation and potentially support therapeutic strategies to modify the tumor microbiome in order to improve treatment outcomes with ICIs. |
format | Online Article Text |
id | pubmed-10245822 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Cold Spring Harbor Laboratory |
record_format | MEDLINE/PubMed |
spelling | pubmed-102458222023-06-08 The tumor microbiome as a predictor of outcomes in patients with metastatic melanoma treated with immune checkpoint inhibitors Wheeler, Caroline E. Coleman, Samuel S. Hoyd, Rebecca Denko, Louis Chan, Carlos H.F. Churchman, Michelle L. Denko, Nicholas Dodd, Rebecca D. Eljilany, Islam Hardikar, Sheetal Husain, Marium Ikeguchi, Alexandra P. Jin, Ning Ma, Qin McCarter, Martin D. Osman, Afaf E.G. Robinson, Lary A. Singer, Eric A. Tinoco, Gabriel Ulrich, Cornelia M. Zakharia, Yousef Spakowicz, Daniel Tarhini, Ahmad A. Tan, Aik Choon bioRxiv Article Emerging evidence supports the important role of the tumor microbiome in oncogenesis, cancer immune phenotype, cancer progression, and treatment outcomes in many malignancies. In this study, we investigated the metastatic melanoma tumor microbiome and potential roles in association with clinical outcomes, such as survival, in patients with metastatic disease treated with immune checkpoint inhibitors (ICIs). Baseline tumor samples were collected from 71 patients with metastatic melanoma before treatment with ICIs. Bulk RNA-seq was conducted on the formalin-fixed paraffin-embedded (FFPE) tumor samples. Durable clinical benefit (primary clinical endpoint) following ICIs was defined as overall survival ≥24 months and no change to the primary drug regimen (responders). We processed RNA-seq reads to carefully identify exogenous sequences using the {exotic} tool. The 71 patients with metastatic melanoma ranged in age from 24 to 83 years, 59% were male, and 55% survived >24 months following the initiation of ICI treatment. Exogenous taxa were identified in the tumor RNA-seq, including bacteria, fungi, and viruses. We found differences in gene expression and microbe abundances in immunotherapy responsive versus non-responsive tumors. Responders showed significant enrichment of several microbes including Fusobacterium nucleatum, and non-responders showed enrichment of fungi, as well as several bacteria. These microbes correlated with immune-related gene expression signatures. Finally, we found that models for predicting prolonged survival with immunotherapy using both microbe abundances and gene expression outperformed models using either dataset alone. Our findings warrant further investigation and potentially support therapeutic strategies to modify the tumor microbiome in order to improve treatment outcomes with ICIs. Cold Spring Harbor Laboratory 2023-05-25 /pmc/articles/PMC10245822/ /pubmed/37292921 http://dx.doi.org/10.1101/2023.05.24.542123 Text en https://creativecommons.org/licenses/by/4.0/This work is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/) , which allows reusers to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator. The license allows for commercial use. |
spellingShingle | Article Wheeler, Caroline E. Coleman, Samuel S. Hoyd, Rebecca Denko, Louis Chan, Carlos H.F. Churchman, Michelle L. Denko, Nicholas Dodd, Rebecca D. Eljilany, Islam Hardikar, Sheetal Husain, Marium Ikeguchi, Alexandra P. Jin, Ning Ma, Qin McCarter, Martin D. Osman, Afaf E.G. Robinson, Lary A. Singer, Eric A. Tinoco, Gabriel Ulrich, Cornelia M. Zakharia, Yousef Spakowicz, Daniel Tarhini, Ahmad A. Tan, Aik Choon The tumor microbiome as a predictor of outcomes in patients with metastatic melanoma treated with immune checkpoint inhibitors |
title | The tumor microbiome as a predictor of outcomes in patients with metastatic melanoma treated with immune checkpoint inhibitors |
title_full | The tumor microbiome as a predictor of outcomes in patients with metastatic melanoma treated with immune checkpoint inhibitors |
title_fullStr | The tumor microbiome as a predictor of outcomes in patients with metastatic melanoma treated with immune checkpoint inhibitors |
title_full_unstemmed | The tumor microbiome as a predictor of outcomes in patients with metastatic melanoma treated with immune checkpoint inhibitors |
title_short | The tumor microbiome as a predictor of outcomes in patients with metastatic melanoma treated with immune checkpoint inhibitors |
title_sort | tumor microbiome as a predictor of outcomes in patients with metastatic melanoma treated with immune checkpoint inhibitors |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10245822/ https://www.ncbi.nlm.nih.gov/pubmed/37292921 http://dx.doi.org/10.1101/2023.05.24.542123 |
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