Cargando…

Combination of 35-Gene Mutation Profile and Radiotherapy Dosimetry Predicts the Therapeutic Outcome of Definitive Chemoradiation in Patients With Esophageal Squamous Cell Carcinoma

Esophageal cancer is a common malignancy worldwide and a leading cause of cancer-related mortality. Definitive concurrent chemoradiotherapy (CCRT) has been widely used to treat locally advanced esophageal squamous cell carcinoma (ESCC). In this study, we evaluated the predictive power of a 35-gene m...

Descripción completa

Detalles Bibliográficos
Autores principales: Tang, Peng, Tan, Chen, Pang, Qingsong, Chi, Chih-Wen, Wang, Yuwen, Yuan, Zhiyong, Huang, Yu-Chuen, Chen, Yu-Jen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8430340/
https://www.ncbi.nlm.nih.gov/pubmed/34513706
http://dx.doi.org/10.3389/fonc.2021.729418
_version_ 1783750686032265216
author Tang, Peng
Tan, Chen
Pang, Qingsong
Chi, Chih-Wen
Wang, Yuwen
Yuan, Zhiyong
Huang, Yu-Chuen
Chen, Yu-Jen
author_facet Tang, Peng
Tan, Chen
Pang, Qingsong
Chi, Chih-Wen
Wang, Yuwen
Yuan, Zhiyong
Huang, Yu-Chuen
Chen, Yu-Jen
author_sort Tang, Peng
collection PubMed
description Esophageal cancer is a common malignancy worldwide and a leading cause of cancer-related mortality. Definitive concurrent chemoradiotherapy (CCRT) has been widely used to treat locally advanced esophageal squamous cell carcinoma (ESCC). In this study, we evaluated the predictive power of a 35-gene mutation profile and radiation parameters in patients with ESCC. Data from 44 patients with ESCC who underwent definitive CCRT were retrospectively reviewed. A 35-gene mutation profile, derived from reported ESCC-specific next-generation sequencing results, and radiation dosimetry parameters were examined using the Kaplan–Meier curve and Cox proportional hazards model. All patients were native Chinese and underwent CCRT with a median follow-up time of 22.0 months. Significant prognostic factors affecting progression-free survival in the multivariable Cox regression model were clinical nodal staging ≥2 (hazard ratio, HR: 2.52, 95% CI: 1.15–5.54, p = 0.022), ≥10% lung volume receiving ≥30 Gy (V30) (HR: 2.36, 95% CI: 1.08–5.17, p = 0.032), and mutation of fibrous sheath interacting protein 2 (FSIP2) (HR: 0.08, 95% CI: 0.01–0.58, p = 0.013). For overall survival, significant prognostic factors in the multivariable Cox regression model were lung V30 ≥10% (HR: 3.71, 95% CI: 1.48–9.35, p = 0.005) and mutation of spectrin repeat containing nuclear envelope protein 1 (SYNE1) (HR: 2.95, 95% CI: 1.25–6.97, p = 0.014). Our cohort showed higher MUC17 (79.5% vs. 5.7%), FSIP2 (18.2% vs. 6.2%), and SYNE1 (38.6% vs. 11.0%) mutation rates and lower TP53 (38.6% vs. 68.7%) mutation rates than the ESCC cohorts from The Cancer Genome Atlas. In conclusion, by using a combination of a 35-gene mutation profile and radiotherapy dosimetry, mutations in FSIP2 and SYNE1 as well as lung V30 were identified as potential predictors for developing a prediction model for clinical outcomes in patients with ESCC administered definitive CCRT.
format Online
Article
Text
id pubmed-8430340
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-84303402021-09-11 Combination of 35-Gene Mutation Profile and Radiotherapy Dosimetry Predicts the Therapeutic Outcome of Definitive Chemoradiation in Patients With Esophageal Squamous Cell Carcinoma Tang, Peng Tan, Chen Pang, Qingsong Chi, Chih-Wen Wang, Yuwen Yuan, Zhiyong Huang, Yu-Chuen Chen, Yu-Jen Front Oncol Oncology Esophageal cancer is a common malignancy worldwide and a leading cause of cancer-related mortality. Definitive concurrent chemoradiotherapy (CCRT) has been widely used to treat locally advanced esophageal squamous cell carcinoma (ESCC). In this study, we evaluated the predictive power of a 35-gene mutation profile and radiation parameters in patients with ESCC. Data from 44 patients with ESCC who underwent definitive CCRT were retrospectively reviewed. A 35-gene mutation profile, derived from reported ESCC-specific next-generation sequencing results, and radiation dosimetry parameters were examined using the Kaplan–Meier curve and Cox proportional hazards model. All patients were native Chinese and underwent CCRT with a median follow-up time of 22.0 months. Significant prognostic factors affecting progression-free survival in the multivariable Cox regression model were clinical nodal staging ≥2 (hazard ratio, HR: 2.52, 95% CI: 1.15–5.54, p = 0.022), ≥10% lung volume receiving ≥30 Gy (V30) (HR: 2.36, 95% CI: 1.08–5.17, p = 0.032), and mutation of fibrous sheath interacting protein 2 (FSIP2) (HR: 0.08, 95% CI: 0.01–0.58, p = 0.013). For overall survival, significant prognostic factors in the multivariable Cox regression model were lung V30 ≥10% (HR: 3.71, 95% CI: 1.48–9.35, p = 0.005) and mutation of spectrin repeat containing nuclear envelope protein 1 (SYNE1) (HR: 2.95, 95% CI: 1.25–6.97, p = 0.014). Our cohort showed higher MUC17 (79.5% vs. 5.7%), FSIP2 (18.2% vs. 6.2%), and SYNE1 (38.6% vs. 11.0%) mutation rates and lower TP53 (38.6% vs. 68.7%) mutation rates than the ESCC cohorts from The Cancer Genome Atlas. In conclusion, by using a combination of a 35-gene mutation profile and radiotherapy dosimetry, mutations in FSIP2 and SYNE1 as well as lung V30 were identified as potential predictors for developing a prediction model for clinical outcomes in patients with ESCC administered definitive CCRT. Frontiers Media S.A. 2021-08-27 /pmc/articles/PMC8430340/ /pubmed/34513706 http://dx.doi.org/10.3389/fonc.2021.729418 Text en Copyright © 2021 Tang, Tan, Pang, Chi, Wang, Yuan, Huang and Chen https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Oncology
Tang, Peng
Tan, Chen
Pang, Qingsong
Chi, Chih-Wen
Wang, Yuwen
Yuan, Zhiyong
Huang, Yu-Chuen
Chen, Yu-Jen
Combination of 35-Gene Mutation Profile and Radiotherapy Dosimetry Predicts the Therapeutic Outcome of Definitive Chemoradiation in Patients With Esophageal Squamous Cell Carcinoma
title Combination of 35-Gene Mutation Profile and Radiotherapy Dosimetry Predicts the Therapeutic Outcome of Definitive Chemoradiation in Patients With Esophageal Squamous Cell Carcinoma
title_full Combination of 35-Gene Mutation Profile and Radiotherapy Dosimetry Predicts the Therapeutic Outcome of Definitive Chemoradiation in Patients With Esophageal Squamous Cell Carcinoma
title_fullStr Combination of 35-Gene Mutation Profile and Radiotherapy Dosimetry Predicts the Therapeutic Outcome of Definitive Chemoradiation in Patients With Esophageal Squamous Cell Carcinoma
title_full_unstemmed Combination of 35-Gene Mutation Profile and Radiotherapy Dosimetry Predicts the Therapeutic Outcome of Definitive Chemoradiation in Patients With Esophageal Squamous Cell Carcinoma
title_short Combination of 35-Gene Mutation Profile and Radiotherapy Dosimetry Predicts the Therapeutic Outcome of Definitive Chemoradiation in Patients With Esophageal Squamous Cell Carcinoma
title_sort combination of 35-gene mutation profile and radiotherapy dosimetry predicts the therapeutic outcome of definitive chemoradiation in patients with esophageal squamous cell carcinoma
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8430340/
https://www.ncbi.nlm.nih.gov/pubmed/34513706
http://dx.doi.org/10.3389/fonc.2021.729418
work_keys_str_mv AT tangpeng combinationof35genemutationprofileandradiotherapydosimetrypredictsthetherapeuticoutcomeofdefinitivechemoradiationinpatientswithesophagealsquamouscellcarcinoma
AT tanchen combinationof35genemutationprofileandradiotherapydosimetrypredictsthetherapeuticoutcomeofdefinitivechemoradiationinpatientswithesophagealsquamouscellcarcinoma
AT pangqingsong combinationof35genemutationprofileandradiotherapydosimetrypredictsthetherapeuticoutcomeofdefinitivechemoradiationinpatientswithesophagealsquamouscellcarcinoma
AT chichihwen combinationof35genemutationprofileandradiotherapydosimetrypredictsthetherapeuticoutcomeofdefinitivechemoradiationinpatientswithesophagealsquamouscellcarcinoma
AT wangyuwen combinationof35genemutationprofileandradiotherapydosimetrypredictsthetherapeuticoutcomeofdefinitivechemoradiationinpatientswithesophagealsquamouscellcarcinoma
AT yuanzhiyong combinationof35genemutationprofileandradiotherapydosimetrypredictsthetherapeuticoutcomeofdefinitivechemoradiationinpatientswithesophagealsquamouscellcarcinoma
AT huangyuchuen combinationof35genemutationprofileandradiotherapydosimetrypredictsthetherapeuticoutcomeofdefinitivechemoradiationinpatientswithesophagealsquamouscellcarcinoma
AT chenyujen combinationof35genemutationprofileandradiotherapydosimetrypredictsthetherapeuticoutcomeofdefinitivechemoradiationinpatientswithesophagealsquamouscellcarcinoma