Gene alterations as predictors of radiation-induced toxicity in head and neck squamous cell carcinoma

Abstract Background Optimizing the therapeutic ratio for radiation therapy (RT) in head and neck squamous cell carcinoma (HNSCC) is uniquely challenging owing to high rates of early and late toxicity involving nearby organs at risk. These toxicities have a profound impact on treatment compliance and...

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Main Authors: Whitney Sumner, Xenia Ray, Leisa Sutton, Daniel Rebibo, Francesco Marincola, Parag Sanghvi, Vitali Moiseenko, Ida Deichaite
Format: Article
Language:English
Published: BMC 2021-05-01
Series:Journal of Translational Medicine
Subjects:
Online Access:https://doi.org/10.1186/s12967-021-02876-5
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author Whitney Sumner
Xenia Ray
Leisa Sutton
Daniel Rebibo
Francesco Marincola
Parag Sanghvi
Vitali Moiseenko
Ida Deichaite
author_facet Whitney Sumner
Xenia Ray
Leisa Sutton
Daniel Rebibo
Francesco Marincola
Parag Sanghvi
Vitali Moiseenko
Ida Deichaite
author_sort Whitney Sumner
collection DOAJ
description Abstract Background Optimizing the therapeutic ratio for radiation therapy (RT) in head and neck squamous cell carcinoma (HNSCC) is uniquely challenging owing to high rates of early and late toxicity involving nearby organs at risk. These toxicities have a profound impact on treatment compliance and quality of life. Emerging evidence suggests that RT dose alone cannot fully account for the variable severity of RT-related adverse events (rtAEs) observed in HNSCC patients. Next-generation sequencing has become an increasingly valuable tool with widespread use in the oncology field and is being robustly explored for predicting rtAEs beyond dosimetric data. Methods Patients who had Foundation Medicine sequencing data and received RT for primary or locally recurrent HNSCC were selected for this study. Early and late toxicity data were collected and reported based on Common Terminology Criteria for Adverse Events version 5.0. Dosimetric parameters were collected for pertinent structures. Results A total of HNSCC 37 patients were analyzed in this study. Genetic alterations in BRCA2, ERBB3, NOTCH1 and CCND1 were all associated with higher mean grade of toxicity with BRCA2 alteration implicated in all toxicity parameters evaluated including mucositis, early dysphagia, xerostomia and to a lesser extent, late dysphagia. Interestingly, patients who exhibited alterations in both BRCA2 and ERBB3 experienced a twofold or greater increase in early dysphagia, early xerostomia and late dysphagia compared to ERBB3 alteration alone. Furthermore, several gene alterations were associated with improved toxicity outcomes. Within an RT supersensitive patient subset, alterations were found in TNFAIP3, HNF1A, SPTA1 and CASP8. All of these alterations were not found in the RT insensitive patient subset. We found 17 gene alterations in the RT insensitive patient subset that were not found in the RT supersensitive patient subset. Conclusion Despite consistent RT dosimetric parameters, patients with HNSCC experience heterogeneous patterns of rtAEs. Identifying factors associated with toxicity outcomes offers a new avenue for personalized precision RT therapy and prophylactic management. Here, next-generation sequencing in a population of HNSCC patients correlates several genetic alterations with severity of rtAEs. Further analysis is urgently needed to identify genetic patterns associated with rtAEs in order to reduce harmful outcomes in this challenging population.
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spelling doaj.art-835f452792d14388aa32e794eeb5d94e2022-12-21T18:43:22ZengBMCJournal of Translational Medicine1479-58762021-05-0119111110.1186/s12967-021-02876-5Gene alterations as predictors of radiation-induced toxicity in head and neck squamous cell carcinomaWhitney Sumner0Xenia Ray1Leisa Sutton2Daniel Rebibo3Francesco Marincola4Parag Sanghvi5Vitali Moiseenko6Ida Deichaite7Department of Radiation Medicine and Applied Sciences, University of California San DiegoDepartment of Radiation Medicine and Applied Sciences, University of California San DiegoMoores Cancer Center, University of California San DiegoMoores Cancer Center, University of California San DiegoScience, Refuge BiotechnologiesDepartment of Radiation Medicine and Applied Sciences, University of California San DiegoDepartment of Radiation Medicine and Applied Sciences, University of California San DiegoDepartment of Radiation Medicine and Applied Sciences, University of California San DiegoAbstract Background Optimizing the therapeutic ratio for radiation therapy (RT) in head and neck squamous cell carcinoma (HNSCC) is uniquely challenging owing to high rates of early and late toxicity involving nearby organs at risk. These toxicities have a profound impact on treatment compliance and quality of life. Emerging evidence suggests that RT dose alone cannot fully account for the variable severity of RT-related adverse events (rtAEs) observed in HNSCC patients. Next-generation sequencing has become an increasingly valuable tool with widespread use in the oncology field and is being robustly explored for predicting rtAEs beyond dosimetric data. Methods Patients who had Foundation Medicine sequencing data and received RT for primary or locally recurrent HNSCC were selected for this study. Early and late toxicity data were collected and reported based on Common Terminology Criteria for Adverse Events version 5.0. Dosimetric parameters were collected for pertinent structures. Results A total of HNSCC 37 patients were analyzed in this study. Genetic alterations in BRCA2, ERBB3, NOTCH1 and CCND1 were all associated with higher mean grade of toxicity with BRCA2 alteration implicated in all toxicity parameters evaluated including mucositis, early dysphagia, xerostomia and to a lesser extent, late dysphagia. Interestingly, patients who exhibited alterations in both BRCA2 and ERBB3 experienced a twofold or greater increase in early dysphagia, early xerostomia and late dysphagia compared to ERBB3 alteration alone. Furthermore, several gene alterations were associated with improved toxicity outcomes. Within an RT supersensitive patient subset, alterations were found in TNFAIP3, HNF1A, SPTA1 and CASP8. All of these alterations were not found in the RT insensitive patient subset. We found 17 gene alterations in the RT insensitive patient subset that were not found in the RT supersensitive patient subset. Conclusion Despite consistent RT dosimetric parameters, patients with HNSCC experience heterogeneous patterns of rtAEs. Identifying factors associated with toxicity outcomes offers a new avenue for personalized precision RT therapy and prophylactic management. Here, next-generation sequencing in a population of HNSCC patients correlates several genetic alterations with severity of rtAEs. Further analysis is urgently needed to identify genetic patterns associated with rtAEs in order to reduce harmful outcomes in this challenging population.https://doi.org/10.1186/s12967-021-02876-5Predictive biomarkers of radiation toxicityHead and neck squamous cell carcinomaRadiogenomicsBRCA2ERBB3RT dosimetric data
spellingShingle Whitney Sumner
Xenia Ray
Leisa Sutton
Daniel Rebibo
Francesco Marincola
Parag Sanghvi
Vitali Moiseenko
Ida Deichaite
Gene alterations as predictors of radiation-induced toxicity in head and neck squamous cell carcinoma
Journal of Translational Medicine
Predictive biomarkers of radiation toxicity
Head and neck squamous cell carcinoma
Radiogenomics
BRCA2
ERBB3
RT dosimetric data
title Gene alterations as predictors of radiation-induced toxicity in head and neck squamous cell carcinoma
title_full Gene alterations as predictors of radiation-induced toxicity in head and neck squamous cell carcinoma
title_fullStr Gene alterations as predictors of radiation-induced toxicity in head and neck squamous cell carcinoma
title_full_unstemmed Gene alterations as predictors of radiation-induced toxicity in head and neck squamous cell carcinoma
title_short Gene alterations as predictors of radiation-induced toxicity in head and neck squamous cell carcinoma
title_sort gene alterations as predictors of radiation induced toxicity in head and neck squamous cell carcinoma
topic Predictive biomarkers of radiation toxicity
Head and neck squamous cell carcinoma
Radiogenomics
BRCA2
ERBB3
RT dosimetric data
url https://doi.org/10.1186/s12967-021-02876-5
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