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Role of ultraviolet mutational signature versus tumor mutation burden in predicting response to immunotherapy

Hydrophobic neoantigens are more immunogenic because they are better presented by the major histocompatibility complex and better recognized by T cells. Tumor cells can evade the immune response by expressing checkpoints such as programmed death ligand 1. Checkpoint blockade reactivates immune recog...

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Autores principales: Pham, Timothy V., Boichard, Amélie, Goodman, Aaron, Riviere, Paul, Yeerna, Huwate, Tamayo, Pablo, Kurzrock, Razelle
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7400787/
https://www.ncbi.nlm.nih.gov/pubmed/32530570
http://dx.doi.org/10.1002/1878-0261.12748
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author Pham, Timothy V.
Boichard, Amélie
Goodman, Aaron
Riviere, Paul
Yeerna, Huwate
Tamayo, Pablo
Kurzrock, Razelle
author_facet Pham, Timothy V.
Boichard, Amélie
Goodman, Aaron
Riviere, Paul
Yeerna, Huwate
Tamayo, Pablo
Kurzrock, Razelle
author_sort Pham, Timothy V.
collection PubMed
description Hydrophobic neoantigens are more immunogenic because they are better presented by the major histocompatibility complex and better recognized by T cells. Tumor cells can evade the immune response by expressing checkpoints such as programmed death ligand 1. Checkpoint blockade reactivates immune recognition and can be effective in diseases such as melanoma, which harbors a high tumor mutational burden (TMB). Cancers presenting low or intermediate TMB can also respond to checkpoint blockade, albeit less frequently, suggesting the need for biological markers predicting response. We calculated the hydrophobicity of neopeptides produced by probabilistic in silico simulation of the genomic UV exposure mutational signature. We also computed the hydrophobicity of potential neopeptides and extent of UV exposure based on the UV mutational signature enrichment (UVMSE) score in The Cancer Genome Atlas (TCGA; N = 3543 tumors), and in our cohort of 151 immunotherapy‐treated patients. In silico simulation showed that UV exposure significantly increased hydrophobicity of neopeptides, especially over multiple mutagenic cycles. There was also a strong correlation (R (2) = 0.953) between weighted UVMSE and hydrophobicity of neopeptides in TCGA melanoma patients. Importantly, UVMSE was able to predict better response (P = 0.0026), progression‐free survival (P = 0.036), and overall survival (P = 0.052) after immunotherapy in patients with low/intermediate TMB, but not in patients with high TMB. We show that higher UVMSE scores could be a useful predictor of better immunotherapy outcome, especially in patients with low/intermediate TMB, likely due to increased hydrophobicity (and hence immunogenicity) of neopeptides.
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spelling pubmed-74007872020-08-06 Role of ultraviolet mutational signature versus tumor mutation burden in predicting response to immunotherapy Pham, Timothy V. Boichard, Amélie Goodman, Aaron Riviere, Paul Yeerna, Huwate Tamayo, Pablo Kurzrock, Razelle Mol Oncol Research Articles Hydrophobic neoantigens are more immunogenic because they are better presented by the major histocompatibility complex and better recognized by T cells. Tumor cells can evade the immune response by expressing checkpoints such as programmed death ligand 1. Checkpoint blockade reactivates immune recognition and can be effective in diseases such as melanoma, which harbors a high tumor mutational burden (TMB). Cancers presenting low or intermediate TMB can also respond to checkpoint blockade, albeit less frequently, suggesting the need for biological markers predicting response. We calculated the hydrophobicity of neopeptides produced by probabilistic in silico simulation of the genomic UV exposure mutational signature. We also computed the hydrophobicity of potential neopeptides and extent of UV exposure based on the UV mutational signature enrichment (UVMSE) score in The Cancer Genome Atlas (TCGA; N = 3543 tumors), and in our cohort of 151 immunotherapy‐treated patients. In silico simulation showed that UV exposure significantly increased hydrophobicity of neopeptides, especially over multiple mutagenic cycles. There was also a strong correlation (R (2) = 0.953) between weighted UVMSE and hydrophobicity of neopeptides in TCGA melanoma patients. Importantly, UVMSE was able to predict better response (P = 0.0026), progression‐free survival (P = 0.036), and overall survival (P = 0.052) after immunotherapy in patients with low/intermediate TMB, but not in patients with high TMB. We show that higher UVMSE scores could be a useful predictor of better immunotherapy outcome, especially in patients with low/intermediate TMB, likely due to increased hydrophobicity (and hence immunogenicity) of neopeptides. John Wiley and Sons Inc. 2020-07-07 2020-08 /pmc/articles/PMC7400787/ /pubmed/32530570 http://dx.doi.org/10.1002/1878-0261.12748 Text en © 2020 The Authors. Published by FEBS Press and John Wiley & Sons Ltd. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Articles
Pham, Timothy V.
Boichard, Amélie
Goodman, Aaron
Riviere, Paul
Yeerna, Huwate
Tamayo, Pablo
Kurzrock, Razelle
Role of ultraviolet mutational signature versus tumor mutation burden in predicting response to immunotherapy
title Role of ultraviolet mutational signature versus tumor mutation burden in predicting response to immunotherapy
title_full Role of ultraviolet mutational signature versus tumor mutation burden in predicting response to immunotherapy
title_fullStr Role of ultraviolet mutational signature versus tumor mutation burden in predicting response to immunotherapy
title_full_unstemmed Role of ultraviolet mutational signature versus tumor mutation burden in predicting response to immunotherapy
title_short Role of ultraviolet mutational signature versus tumor mutation burden in predicting response to immunotherapy
title_sort role of ultraviolet mutational signature versus tumor mutation burden in predicting response to immunotherapy
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7400787/
https://www.ncbi.nlm.nih.gov/pubmed/32530570
http://dx.doi.org/10.1002/1878-0261.12748
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