Cargando…

Genomic analysis of exceptional responders to radiotherapy reveals somatic mutations in ATM

Radiation therapy is a mainstay of cancer treatment, yet the molecular determinants of clinical response are poorly understood. We identified exceptional responders to radiotherapy based on clinical response, and investigated the associated tumor sequencing data in order to identify additional patie...

Descripción completa

Detalles Bibliográficos
Autores principales: Ma, Jennifer, Setton, Jeremy, Morris, Luc, Carrillo Albornoz, Pedro Blecua, Barker, Christopher, Lok, Benjamin H., Sherman, Eric, Katabi, Nora, Beal, Kathryn, Ganly, Ian, Powell, Simon N., Lee, Nancy, Chan, Timothy A., Riaz, Nadeem
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5354661/
https://www.ncbi.nlm.nih.gov/pubmed/28055970
http://dx.doi.org/10.18632/oncotarget.14400
_version_ 1782515356994109440
author Ma, Jennifer
Setton, Jeremy
Morris, Luc
Carrillo Albornoz, Pedro Blecua
Barker, Christopher
Lok, Benjamin H.
Sherman, Eric
Katabi, Nora
Beal, Kathryn
Ganly, Ian
Powell, Simon N.
Lee, Nancy
Chan, Timothy A.
Riaz, Nadeem
author_facet Ma, Jennifer
Setton, Jeremy
Morris, Luc
Carrillo Albornoz, Pedro Blecua
Barker, Christopher
Lok, Benjamin H.
Sherman, Eric
Katabi, Nora
Beal, Kathryn
Ganly, Ian
Powell, Simon N.
Lee, Nancy
Chan, Timothy A.
Riaz, Nadeem
author_sort Ma, Jennifer
collection PubMed
description Radiation therapy is a mainstay of cancer treatment, yet the molecular determinants of clinical response are poorly understood. We identified exceptional responders to radiotherapy based on clinical response, and investigated the associated tumor sequencing data in order to identify additional patients with similar mutations. Among head and neck squamous cell cancer patients receiving palliative radiotherapy at our institution, we identified one patient with documented complete metabolic response. Targeted sequencing analysis of the tumor identified a somatic frame-shift mutation in ATM, a gene known to be associated with radio-sensitivity in the germline. To validate the association of somatic ATM mutation with radiotherapy response, we identified eight patients with ATM truncating mutations who received radiotherapy, all of whom demonstrated excellent responses with a median local control period of 4.62 years. Analysis of 22 DNA repair genes in The Cancer Genome Atlas (TCGA) data revealed mutations in 15.9% of 9064 tumors across 24 cancer types, with ATM mutations being the most prevalent. This is the first study to suggest that exceptional responses to radiotherapy may be determined by mutations in DNA repair genes. Sequencing of DNA repair genes merits attention in larger cohorts and may have significant implications for the personalization of radiotherapy.
format Online
Article
Text
id pubmed-5354661
institution National Center for Biotechnology Information
language English
publishDate 2016
publisher Impact Journals LLC
record_format MEDLINE/PubMed
spelling pubmed-53546612017-04-14 Genomic analysis of exceptional responders to radiotherapy reveals somatic mutations in ATM Ma, Jennifer Setton, Jeremy Morris, Luc Carrillo Albornoz, Pedro Blecua Barker, Christopher Lok, Benjamin H. Sherman, Eric Katabi, Nora Beal, Kathryn Ganly, Ian Powell, Simon N. Lee, Nancy Chan, Timothy A. Riaz, Nadeem Oncotarget Research Paper Radiation therapy is a mainstay of cancer treatment, yet the molecular determinants of clinical response are poorly understood. We identified exceptional responders to radiotherapy based on clinical response, and investigated the associated tumor sequencing data in order to identify additional patients with similar mutations. Among head and neck squamous cell cancer patients receiving palliative radiotherapy at our institution, we identified one patient with documented complete metabolic response. Targeted sequencing analysis of the tumor identified a somatic frame-shift mutation in ATM, a gene known to be associated with radio-sensitivity in the germline. To validate the association of somatic ATM mutation with radiotherapy response, we identified eight patients with ATM truncating mutations who received radiotherapy, all of whom demonstrated excellent responses with a median local control period of 4.62 years. Analysis of 22 DNA repair genes in The Cancer Genome Atlas (TCGA) data revealed mutations in 15.9% of 9064 tumors across 24 cancer types, with ATM mutations being the most prevalent. This is the first study to suggest that exceptional responses to radiotherapy may be determined by mutations in DNA repair genes. Sequencing of DNA repair genes merits attention in larger cohorts and may have significant implications for the personalization of radiotherapy. Impact Journals LLC 2016-12-31 /pmc/articles/PMC5354661/ /pubmed/28055970 http://dx.doi.org/10.18632/oncotarget.14400 Text en Copyright: © 2017 Ma et al. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Paper
Ma, Jennifer
Setton, Jeremy
Morris, Luc
Carrillo Albornoz, Pedro Blecua
Barker, Christopher
Lok, Benjamin H.
Sherman, Eric
Katabi, Nora
Beal, Kathryn
Ganly, Ian
Powell, Simon N.
Lee, Nancy
Chan, Timothy A.
Riaz, Nadeem
Genomic analysis of exceptional responders to radiotherapy reveals somatic mutations in ATM
title Genomic analysis of exceptional responders to radiotherapy reveals somatic mutations in ATM
title_full Genomic analysis of exceptional responders to radiotherapy reveals somatic mutations in ATM
title_fullStr Genomic analysis of exceptional responders to radiotherapy reveals somatic mutations in ATM
title_full_unstemmed Genomic analysis of exceptional responders to radiotherapy reveals somatic mutations in ATM
title_short Genomic analysis of exceptional responders to radiotherapy reveals somatic mutations in ATM
title_sort genomic analysis of exceptional responders to radiotherapy reveals somatic mutations in atm
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5354661/
https://www.ncbi.nlm.nih.gov/pubmed/28055970
http://dx.doi.org/10.18632/oncotarget.14400
work_keys_str_mv AT majennifer genomicanalysisofexceptionalresponderstoradiotherapyrevealssomaticmutationsinatm
AT settonjeremy genomicanalysisofexceptionalresponderstoradiotherapyrevealssomaticmutationsinatm
AT morrisluc genomicanalysisofexceptionalresponderstoradiotherapyrevealssomaticmutationsinatm
AT carrilloalbornozpedroblecua genomicanalysisofexceptionalresponderstoradiotherapyrevealssomaticmutationsinatm
AT barkerchristopher genomicanalysisofexceptionalresponderstoradiotherapyrevealssomaticmutationsinatm
AT lokbenjaminh genomicanalysisofexceptionalresponderstoradiotherapyrevealssomaticmutationsinatm
AT shermaneric genomicanalysisofexceptionalresponderstoradiotherapyrevealssomaticmutationsinatm
AT katabinora genomicanalysisofexceptionalresponderstoradiotherapyrevealssomaticmutationsinatm
AT bealkathryn genomicanalysisofexceptionalresponderstoradiotherapyrevealssomaticmutationsinatm
AT ganlyian genomicanalysisofexceptionalresponderstoradiotherapyrevealssomaticmutationsinatm
AT powellsimonn genomicanalysisofexceptionalresponderstoradiotherapyrevealssomaticmutationsinatm
AT leenancy genomicanalysisofexceptionalresponderstoradiotherapyrevealssomaticmutationsinatm
AT chantimothya genomicanalysisofexceptionalresponderstoradiotherapyrevealssomaticmutationsinatm
AT riaznadeem genomicanalysisofexceptionalresponderstoradiotherapyrevealssomaticmutationsinatm