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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Main Authors: Timothy V. Pham, Amélie Boichard, Aaron Goodman, Paul Riviere, Huwate Yeerna, Pablo Tamayo, Razelle Kurzrock
Format: Article
Language:English
Published: Wiley 2020-08-01
Series:Molecular Oncology
Subjects:
Online Access:https://doi.org/10.1002/1878-0261.12748
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spelling doaj-5273824955bb4e9c9ad1db9c769fbc152020-11-25T03:38:18ZengWileyMolecular Oncology1574-78911878-02612020-08-011481680169410.1002/1878-0261.12748Role of ultraviolet mutational signature versus tumor mutation burden in predicting response to immunotherapyTimothy V. Pham0Amélie Boichard1Aaron Goodman2Paul Riviere3Huwate Yeerna4Pablo Tamayo5Razelle Kurzrock6Center for Personalized Cancer Therapy Moores Cancer Center UCSD San Diego CA USACenter for Personalized Cancer Therapy Moores Cancer Center UCSD San Diego CA USACenter for Personalized Cancer Therapy Moores Cancer Center UCSD San Diego CA USACenter for Personalized Cancer Therapy Moores Cancer Center UCSD San Diego CA USACenter for Personalized Cancer Therapy Moores Cancer Center UCSD San Diego CA USACenter for Personalized Cancer Therapy Moores Cancer Center UCSD San Diego CA USACenter for Personalized Cancer Therapy Moores Cancer Center UCSD San Diego CA USAHydrophobic 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 (R2 = 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.https://doi.org/10.1002/1878-0261.12748checkpoint blockadeimmunotherapyUV mutational signature
collection DOAJ
language English
format Article
sources DOAJ
author Timothy V. Pham
Amélie Boichard
Aaron Goodman
Paul Riviere
Huwate Yeerna
Pablo Tamayo
Razelle Kurzrock
spellingShingle Timothy V. Pham
Amélie Boichard
Aaron Goodman
Paul Riviere
Huwate Yeerna
Pablo Tamayo
Razelle Kurzrock
Role of ultraviolet mutational signature versus tumor mutation burden in predicting response to immunotherapy
Molecular Oncology
checkpoint blockade
immunotherapy
UV mutational signature
author_facet Timothy V. Pham
Amélie Boichard
Aaron Goodman
Paul Riviere
Huwate Yeerna
Pablo Tamayo
Razelle Kurzrock
author_sort Timothy V. Pham
title 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_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_sort role of ultraviolet mutational signature versus tumor mutation burden in predicting response to immunotherapy
publisher Wiley
series Molecular Oncology
issn 1574-7891
1878-0261
publishDate 2020-08-01
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 (R2 = 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.
topic checkpoint blockade
immunotherapy
UV mutational signature
url https://doi.org/10.1002/1878-0261.12748
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