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Overexpression of synuclein-γ predicts lack of benefit from radiotherapy for breast cancer patients

BACKGROUND: Although radiotherapy following mastectomy was demonstrated to reduce the recurring risk and improve the prognosis of patients with breast cancer, it is also notorious for comprehensive side effects, hence only a selected group of patients can benefit. Therefore, the screening of molecul...

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Autores principales: Min, Li, Zhang, Cheng, Ma, Ruolan, Li, Xiaofan, Yuan, Hua, Li, Yihao, Chen, Ruxuan, Liu, Caiyun, Guo, Jianping, Qu, Like, Shou, Chengchao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5011985/
https://www.ncbi.nlm.nih.gov/pubmed/27595752
http://dx.doi.org/10.1186/s12885-016-2750-y
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author Min, Li
Zhang, Cheng
Ma, Ruolan
Li, Xiaofan
Yuan, Hua
Li, Yihao
Chen, Ruxuan
Liu, Caiyun
Guo, Jianping
Qu, Like
Shou, Chengchao
author_facet Min, Li
Zhang, Cheng
Ma, Ruolan
Li, Xiaofan
Yuan, Hua
Li, Yihao
Chen, Ruxuan
Liu, Caiyun
Guo, Jianping
Qu, Like
Shou, Chengchao
author_sort Min, Li
collection PubMed
description BACKGROUND: Although radiotherapy following mastectomy was demonstrated to reduce the recurring risk and improve the prognosis of patients with breast cancer, it is also notorious for comprehensive side effects, hence only a selected group of patients can benefit. Therefore, the screening of molecular markers capable of predicting the efficacy of radiotherapy is essential. METHODS: We have established a cohort of 454 breast cancer cases and selected 238 patients with indications for postoperative radiotherapy. Synuclein-γ (SNCG) protein levels were assessed by immunohistochemistry, and SNCG status was retrospectively correlated with clinical features and survival in patients treated or not treated with radiotherapy. Gene Set Enrichment Analysis (GSEA) and survival analysis for online datasets were also performed for further validation. RESULTS: Among patients that received radiotherapy (82/238), those demonstrating positive SNCG expression had a 55.0 month shorter median overall survival (OS) in comparison to those demonstrating negative SNCG expression (78.4 vs. 133.4 months, log rank χ(2) = 16.13; p < 0.001). Among the patients that received no radiotherapy (156/238), SNCG status was not correlated with OS (log rank χ(2) = 2.40; p = 0.121). A COX proportional hazard analysis confirmed SNCG as an independent predictor of OS, only for patients who have received radiotherapy. Similar results were also obtained for distant metastasis-free survival (DMFS). A GSEA analysis indicated that SNCG was strongly associated with genes related to a radiation stress response. A survival analysis was performed with online databases consisting of breast cancer, lung cancer, and glioblastoma and further confirmed SNCG’s significance in predicting the survival of patients that have received radiotherapy. CONCLUSION: A positive SNCG may serve as a potential marker to identify breast cancer patients who are less likely to benefit from radiotherapy and may also be extended to other types of cancer. However, the role of SNCG in radiotherapy response still needs to be further validated in randomized controlled trials prior to being exploited in clinical practice. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12885-016-2750-y) contains supplementary material, which is available to authorized users.
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spelling pubmed-50119852016-09-07 Overexpression of synuclein-γ predicts lack of benefit from radiotherapy for breast cancer patients Min, Li Zhang, Cheng Ma, Ruolan Li, Xiaofan Yuan, Hua Li, Yihao Chen, Ruxuan Liu, Caiyun Guo, Jianping Qu, Like Shou, Chengchao BMC Cancer Research Article BACKGROUND: Although radiotherapy following mastectomy was demonstrated to reduce the recurring risk and improve the prognosis of patients with breast cancer, it is also notorious for comprehensive side effects, hence only a selected group of patients can benefit. Therefore, the screening of molecular markers capable of predicting the efficacy of radiotherapy is essential. METHODS: We have established a cohort of 454 breast cancer cases and selected 238 patients with indications for postoperative radiotherapy. Synuclein-γ (SNCG) protein levels were assessed by immunohistochemistry, and SNCG status was retrospectively correlated with clinical features and survival in patients treated or not treated with radiotherapy. Gene Set Enrichment Analysis (GSEA) and survival analysis for online datasets were also performed for further validation. RESULTS: Among patients that received radiotherapy (82/238), those demonstrating positive SNCG expression had a 55.0 month shorter median overall survival (OS) in comparison to those demonstrating negative SNCG expression (78.4 vs. 133.4 months, log rank χ(2) = 16.13; p < 0.001). Among the patients that received no radiotherapy (156/238), SNCG status was not correlated with OS (log rank χ(2) = 2.40; p = 0.121). A COX proportional hazard analysis confirmed SNCG as an independent predictor of OS, only for patients who have received radiotherapy. Similar results were also obtained for distant metastasis-free survival (DMFS). A GSEA analysis indicated that SNCG was strongly associated with genes related to a radiation stress response. A survival analysis was performed with online databases consisting of breast cancer, lung cancer, and glioblastoma and further confirmed SNCG’s significance in predicting the survival of patients that have received radiotherapy. CONCLUSION: A positive SNCG may serve as a potential marker to identify breast cancer patients who are less likely to benefit from radiotherapy and may also be extended to other types of cancer. However, the role of SNCG in radiotherapy response still needs to be further validated in randomized controlled trials prior to being exploited in clinical practice. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12885-016-2750-y) contains supplementary material, which is available to authorized users. BioMed Central 2016-09-05 /pmc/articles/PMC5011985/ /pubmed/27595752 http://dx.doi.org/10.1186/s12885-016-2750-y Text en © The Author(s). 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Min, Li
Zhang, Cheng
Ma, Ruolan
Li, Xiaofan
Yuan, Hua
Li, Yihao
Chen, Ruxuan
Liu, Caiyun
Guo, Jianping
Qu, Like
Shou, Chengchao
Overexpression of synuclein-γ predicts lack of benefit from radiotherapy for breast cancer patients
title Overexpression of synuclein-γ predicts lack of benefit from radiotherapy for breast cancer patients
title_full Overexpression of synuclein-γ predicts lack of benefit from radiotherapy for breast cancer patients
title_fullStr Overexpression of synuclein-γ predicts lack of benefit from radiotherapy for breast cancer patients
title_full_unstemmed Overexpression of synuclein-γ predicts lack of benefit from radiotherapy for breast cancer patients
title_short Overexpression of synuclein-γ predicts lack of benefit from radiotherapy for breast cancer patients
title_sort overexpression of synuclein-γ predicts lack of benefit from radiotherapy for breast cancer patients
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5011985/
https://www.ncbi.nlm.nih.gov/pubmed/27595752
http://dx.doi.org/10.1186/s12885-016-2750-y
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