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Chemotherapy weakly contributes to predicted neoantigen expression in ovarian cancer

BACKGROUND: Patients with highly mutated tumors, such as melanoma or smoking-related lung cancer, have higher rates of response to immune checkpoint blockade therapy, perhaps due to increased neoantigen expression. Many chemotherapies including platinum compounds are known to be mutagenic, but the i...

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Autores principales: O’Donnell, Timothy, Christie, Elizabeth L., Ahuja, Arun, Buros, Jacqueline, Aksoy, B. Arman, Bowtell, David D. L., Snyder, Alexandra, Hammerbacher, Jeff
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5778667/
https://www.ncbi.nlm.nih.gov/pubmed/29357823
http://dx.doi.org/10.1186/s12885-017-3825-0
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author O’Donnell, Timothy
Christie, Elizabeth L.
Ahuja, Arun
Buros, Jacqueline
Aksoy, B. Arman
Bowtell, David D. L.
Snyder, Alexandra
Hammerbacher, Jeff
author_facet O’Donnell, Timothy
Christie, Elizabeth L.
Ahuja, Arun
Buros, Jacqueline
Aksoy, B. Arman
Bowtell, David D. L.
Snyder, Alexandra
Hammerbacher, Jeff
author_sort O’Donnell, Timothy
collection PubMed
description BACKGROUND: Patients with highly mutated tumors, such as melanoma or smoking-related lung cancer, have higher rates of response to immune checkpoint blockade therapy, perhaps due to increased neoantigen expression. Many chemotherapies including platinum compounds are known to be mutagenic, but the impact of standard treatment protocols on mutational burden and resulting neoantigen expression in most human cancers is unknown. METHODS: We sought to quantify the effect of chemotherapy treatment on computationally predicted neoantigen expression for high grade serous ovarian carcinoma patients enrolled in the Australian Ovarian Cancer Study. In this series, 35 of 114 samples were collected after exposure to chemotherapy; 14 are matched with an untreated sample from the same patient. Our approach integrates whole genome and RNA sequencing of bulk tumor samples with class I MHC binding prediction and mutational signatures extracted from studies of chemotherapy-exposed Caenorhabditis elegans and Gallus gallus cells. We additionally investigated the relationship between neoantigens, tumor infiltrating immune cells estimated from RNA-seq with CIBERSORT, and patient survival. RESULTS: Greater neoantigen burden and CD8+ T cell infiltration in primary, pre-treatment samples were independently associated with improved survival. Relapse samples collected after chemotherapy harbored a median of 78% more expressed neoantigens than untreated primary samples, a figure that combines the effects of chemotherapy and other processes operative during relapse. The contribution from chemotherapy-associated signatures was small, accounting for a mean of 5% (range 0–16) of the expressed neoantigen burden in relapse samples. In both treated and untreated samples, most neoantigens were attributed to COSMIC Signature (3), associated with BRCA disruption, Signature (1), associated with a slow mutagenic process active in healthy tissue, and Signature (8), of unknown etiology. CONCLUSION: Relapsed ovarian cancers harbor more predicted neoantigens than primary tumors, but the increase is due to pre-existing mutational processes, not mutagenesis from chemotherapy. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12885-017-3825-0) contains supplementary material, which is available to authorized users.
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spelling pubmed-57786672018-01-31 Chemotherapy weakly contributes to predicted neoantigen expression in ovarian cancer O’Donnell, Timothy Christie, Elizabeth L. Ahuja, Arun Buros, Jacqueline Aksoy, B. Arman Bowtell, David D. L. Snyder, Alexandra Hammerbacher, Jeff BMC Cancer Research Article BACKGROUND: Patients with highly mutated tumors, such as melanoma or smoking-related lung cancer, have higher rates of response to immune checkpoint blockade therapy, perhaps due to increased neoantigen expression. Many chemotherapies including platinum compounds are known to be mutagenic, but the impact of standard treatment protocols on mutational burden and resulting neoantigen expression in most human cancers is unknown. METHODS: We sought to quantify the effect of chemotherapy treatment on computationally predicted neoantigen expression for high grade serous ovarian carcinoma patients enrolled in the Australian Ovarian Cancer Study. In this series, 35 of 114 samples were collected after exposure to chemotherapy; 14 are matched with an untreated sample from the same patient. Our approach integrates whole genome and RNA sequencing of bulk tumor samples with class I MHC binding prediction and mutational signatures extracted from studies of chemotherapy-exposed Caenorhabditis elegans and Gallus gallus cells. We additionally investigated the relationship between neoantigens, tumor infiltrating immune cells estimated from RNA-seq with CIBERSORT, and patient survival. RESULTS: Greater neoantigen burden and CD8+ T cell infiltration in primary, pre-treatment samples were independently associated with improved survival. Relapse samples collected after chemotherapy harbored a median of 78% more expressed neoantigens than untreated primary samples, a figure that combines the effects of chemotherapy and other processes operative during relapse. The contribution from chemotherapy-associated signatures was small, accounting for a mean of 5% (range 0–16) of the expressed neoantigen burden in relapse samples. In both treated and untreated samples, most neoantigens were attributed to COSMIC Signature (3), associated with BRCA disruption, Signature (1), associated with a slow mutagenic process active in healthy tissue, and Signature (8), of unknown etiology. CONCLUSION: Relapsed ovarian cancers harbor more predicted neoantigens than primary tumors, but the increase is due to pre-existing mutational processes, not mutagenesis from chemotherapy. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12885-017-3825-0) contains supplementary material, which is available to authorized users. BioMed Central 2018-01-22 /pmc/articles/PMC5778667/ /pubmed/29357823 http://dx.doi.org/10.1186/s12885-017-3825-0 Text en © The Author(s) 2018 Open Access This 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
O’Donnell, Timothy
Christie, Elizabeth L.
Ahuja, Arun
Buros, Jacqueline
Aksoy, B. Arman
Bowtell, David D. L.
Snyder, Alexandra
Hammerbacher, Jeff
Chemotherapy weakly contributes to predicted neoantigen expression in ovarian cancer
title Chemotherapy weakly contributes to predicted neoantigen expression in ovarian cancer
title_full Chemotherapy weakly contributes to predicted neoantigen expression in ovarian cancer
title_fullStr Chemotherapy weakly contributes to predicted neoantigen expression in ovarian cancer
title_full_unstemmed Chemotherapy weakly contributes to predicted neoantigen expression in ovarian cancer
title_short Chemotherapy weakly contributes to predicted neoantigen expression in ovarian cancer
title_sort chemotherapy weakly contributes to predicted neoantigen expression in ovarian cancer
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5778667/
https://www.ncbi.nlm.nih.gov/pubmed/29357823
http://dx.doi.org/10.1186/s12885-017-3825-0
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