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An individualized immune signature of pretreatment biopsies predicts pathological complete response to neoadjuvant chemoradiotherapy and outcomes in patients with esophageal squamous cell carcinoma

No clinically available biomarkers can predict pathological complete response (pCR) for esophageal squamous cell carcinomas (ESCCs) with neoadjuvant chemoradiotherapy (nCRT). Considering that antitumor immunity status is an important determinant for nCRT, we performed an integrative analysis of immu...

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Autores principales: Zhang, Chaoqi, Zhang, Guochao, Sun, Nan, Zhang, Zhen, Xue, Liyan, Zhang, Zhihui, Yang, Haijun, Luo, Yuejun, Zheng, Xiaoli, Zhang, Yonglei, Yuan, Yufen, Lei, Ruixue, Yang, Zhaoyang, Zheng, Bo, Wang, Le, Che, Yun, Wang, Feng, Wang, Sihui, Gao, Shugeng, Xue, Qi, Zhang, Yi, He, Jie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7471268/
https://www.ncbi.nlm.nih.gov/pubmed/32883946
http://dx.doi.org/10.1038/s41392-020-00221-8
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author Zhang, Chaoqi
Zhang, Guochao
Sun, Nan
Zhang, Zhen
Xue, Liyan
Zhang, Zhihui
Yang, Haijun
Luo, Yuejun
Zheng, Xiaoli
Zhang, Yonglei
Yuan, Yufen
Lei, Ruixue
Yang, Zhaoyang
Zheng, Bo
Wang, Le
Che, Yun
Wang, Feng
Wang, Sihui
Gao, Shugeng
Xue, Qi
Zhang, Yi
He, Jie
author_facet Zhang, Chaoqi
Zhang, Guochao
Sun, Nan
Zhang, Zhen
Xue, Liyan
Zhang, Zhihui
Yang, Haijun
Luo, Yuejun
Zheng, Xiaoli
Zhang, Yonglei
Yuan, Yufen
Lei, Ruixue
Yang, Zhaoyang
Zheng, Bo
Wang, Le
Che, Yun
Wang, Feng
Wang, Sihui
Gao, Shugeng
Xue, Qi
Zhang, Yi
He, Jie
author_sort Zhang, Chaoqi
collection PubMed
description No clinically available biomarkers can predict pathological complete response (pCR) for esophageal squamous cell carcinomas (ESCCs) with neoadjuvant chemoradiotherapy (nCRT). Considering that antitumor immunity status is an important determinant for nCRT, we performed an integrative analysis of immune-related gene profiles from pretreatment biopsies and constructed the first individualized immune signature for pCR and outcome prediction of ESCCs through a multicenter analysis. During the discovery phase, 14 differentially expressed immune-related genes (DEIGs) with greater than a twofold change between pCRs and less than pCRs (<pCRs) were revealed from 28 pretreatment tumors in a Guangzhou cohort using microarray data. Ten DEIGs were verified by qPCR from 30 cases in a Beijing discovery cohort. Then, a four-gene-based immune signature (SERPINE1, MMP12, PLAUR, and EPS8) was built based on the verified DEIGs from 71 cases in a Beijing training cohort, and achieved a high accuracy with an area under the receiver operating characteristic curve (AUC) of 0.970. The signature was further validated in an internal validation cohort and an integrated external cohort (Zhengzhou and Anyang cohorts) with AUCs of 0.890 and 0.859, respectively. Importantly, a multivariate analysis showed that the signature was the only independent predictor for pCR. In addition, patients with high predictive scores showed significantly longer overall and relapse-free survival across multiple centers (P < 0.05). This is the first, validated, and clinically applicable individualized immune signature of pCR and outcome prediction for ESCCs with nCRT. Further prospective validation may facilitate the combination of nCRT and immunotherapy.
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spelling pubmed-74712682020-09-16 An individualized immune signature of pretreatment biopsies predicts pathological complete response to neoadjuvant chemoradiotherapy and outcomes in patients with esophageal squamous cell carcinoma Zhang, Chaoqi Zhang, Guochao Sun, Nan Zhang, Zhen Xue, Liyan Zhang, Zhihui Yang, Haijun Luo, Yuejun Zheng, Xiaoli Zhang, Yonglei Yuan, Yufen Lei, Ruixue Yang, Zhaoyang Zheng, Bo Wang, Le Che, Yun Wang, Feng Wang, Sihui Gao, Shugeng Xue, Qi Zhang, Yi He, Jie Signal Transduct Target Ther Article No clinically available biomarkers can predict pathological complete response (pCR) for esophageal squamous cell carcinomas (ESCCs) with neoadjuvant chemoradiotherapy (nCRT). Considering that antitumor immunity status is an important determinant for nCRT, we performed an integrative analysis of immune-related gene profiles from pretreatment biopsies and constructed the first individualized immune signature for pCR and outcome prediction of ESCCs through a multicenter analysis. During the discovery phase, 14 differentially expressed immune-related genes (DEIGs) with greater than a twofold change between pCRs and less than pCRs (<pCRs) were revealed from 28 pretreatment tumors in a Guangzhou cohort using microarray data. Ten DEIGs were verified by qPCR from 30 cases in a Beijing discovery cohort. Then, a four-gene-based immune signature (SERPINE1, MMP12, PLAUR, and EPS8) was built based on the verified DEIGs from 71 cases in a Beijing training cohort, and achieved a high accuracy with an area under the receiver operating characteristic curve (AUC) of 0.970. The signature was further validated in an internal validation cohort and an integrated external cohort (Zhengzhou and Anyang cohorts) with AUCs of 0.890 and 0.859, respectively. Importantly, a multivariate analysis showed that the signature was the only independent predictor for pCR. In addition, patients with high predictive scores showed significantly longer overall and relapse-free survival across multiple centers (P < 0.05). This is the first, validated, and clinically applicable individualized immune signature of pCR and outcome prediction for ESCCs with nCRT. Further prospective validation may facilitate the combination of nCRT and immunotherapy. Nature Publishing Group UK 2020-09-04 /pmc/articles/PMC7471268/ /pubmed/32883946 http://dx.doi.org/10.1038/s41392-020-00221-8 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as 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 images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Zhang, Chaoqi
Zhang, Guochao
Sun, Nan
Zhang, Zhen
Xue, Liyan
Zhang, Zhihui
Yang, Haijun
Luo, Yuejun
Zheng, Xiaoli
Zhang, Yonglei
Yuan, Yufen
Lei, Ruixue
Yang, Zhaoyang
Zheng, Bo
Wang, Le
Che, Yun
Wang, Feng
Wang, Sihui
Gao, Shugeng
Xue, Qi
Zhang, Yi
He, Jie
An individualized immune signature of pretreatment biopsies predicts pathological complete response to neoadjuvant chemoradiotherapy and outcomes in patients with esophageal squamous cell carcinoma
title An individualized immune signature of pretreatment biopsies predicts pathological complete response to neoadjuvant chemoradiotherapy and outcomes in patients with esophageal squamous cell carcinoma
title_full An individualized immune signature of pretreatment biopsies predicts pathological complete response to neoadjuvant chemoradiotherapy and outcomes in patients with esophageal squamous cell carcinoma
title_fullStr An individualized immune signature of pretreatment biopsies predicts pathological complete response to neoadjuvant chemoradiotherapy and outcomes in patients with esophageal squamous cell carcinoma
title_full_unstemmed An individualized immune signature of pretreatment biopsies predicts pathological complete response to neoadjuvant chemoradiotherapy and outcomes in patients with esophageal squamous cell carcinoma
title_short An individualized immune signature of pretreatment biopsies predicts pathological complete response to neoadjuvant chemoradiotherapy and outcomes in patients with esophageal squamous cell carcinoma
title_sort individualized immune signature of pretreatment biopsies predicts pathological complete response to neoadjuvant chemoradiotherapy and outcomes in patients with esophageal squamous cell carcinoma
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7471268/
https://www.ncbi.nlm.nih.gov/pubmed/32883946
http://dx.doi.org/10.1038/s41392-020-00221-8
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