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Predictive value of proteomic markers for advanced rectal cancer with neoadjuvant chemoradiotherapy
BACKGROUND: Preoperative neoadjuvant chemoradiation (nCRT) has been the standard treatment for locally advanced rectal cancer. Serum biomarkers to stratify patients with respect to prognosis and response to nCRT are needed due to the diverse response to the therapy. METHODS: Thirteen paired pre- and...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9361520/ https://www.ncbi.nlm.nih.gov/pubmed/35945555 http://dx.doi.org/10.1186/s12885-022-09960-z |
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author | Wang, Hanyang Ji, Dengbo Tian, Huifang Gao, Zhaoya Song, Can Jia, Jinying Cui, Xinxin Zhong, Lijun Shen, Jing Gu, Jin |
author_facet | Wang, Hanyang Ji, Dengbo Tian, Huifang Gao, Zhaoya Song, Can Jia, Jinying Cui, Xinxin Zhong, Lijun Shen, Jing Gu, Jin |
author_sort | Wang, Hanyang |
collection | PubMed |
description | BACKGROUND: Preoperative neoadjuvant chemoradiation (nCRT) has been the standard treatment for locally advanced rectal cancer. Serum biomarkers to stratify patients with respect to prognosis and response to nCRT are needed due to the diverse response to the therapy. METHODS: Thirteen paired pre- and post-nCRT sera from rectal cancer patients were analyzed by isobaric tags for relative and absolute quantitation (iTRAQ) method. Twenty-five proteins were selected for validation by parallel reaction monitoring (PRM) in ninety-one patients. RESULTS: Totally, 310 proteins were identified and quantified in sera samples. Reactome pathway analysis showed that the immune activation-related pathways were enriched in response to nCRT. Twenty-five proteins were selected for further validation. PRM result showed that the level of PZP was higher in pathological complete response (pCR) patients than non-pCR patients. The Random Forest algorithm identified a prediction model composed of 10 protein markers, which allowed discrimination between pCR patients and non-pCR patients (area under the curve (AUC) = 0.886 on testing set). Higher HEP2 and GELS or lower S10A8 in baseline sera were associated with better prognosis. Higher APOA1 in post nCRT sera was associated with better disease-free survival (DFS). CONCLUSIONS: We identified and confirmed a 10-protein panel for nCRT response prediction and four potential biomarkers HEP2, GELS, S10A8 and APOA1 for prognosis of rectal cancer based on iTRAQ-based comparative proteomics screening and PRM-based targeted proteomic validation. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-022-09960-z. |
format | Online Article Text |
id | pubmed-9361520 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-93615202022-08-10 Predictive value of proteomic markers for advanced rectal cancer with neoadjuvant chemoradiotherapy Wang, Hanyang Ji, Dengbo Tian, Huifang Gao, Zhaoya Song, Can Jia, Jinying Cui, Xinxin Zhong, Lijun Shen, Jing Gu, Jin BMC Cancer Research BACKGROUND: Preoperative neoadjuvant chemoradiation (nCRT) has been the standard treatment for locally advanced rectal cancer. Serum biomarkers to stratify patients with respect to prognosis and response to nCRT are needed due to the diverse response to the therapy. METHODS: Thirteen paired pre- and post-nCRT sera from rectal cancer patients were analyzed by isobaric tags for relative and absolute quantitation (iTRAQ) method. Twenty-five proteins were selected for validation by parallel reaction monitoring (PRM) in ninety-one patients. RESULTS: Totally, 310 proteins were identified and quantified in sera samples. Reactome pathway analysis showed that the immune activation-related pathways were enriched in response to nCRT. Twenty-five proteins were selected for further validation. PRM result showed that the level of PZP was higher in pathological complete response (pCR) patients than non-pCR patients. The Random Forest algorithm identified a prediction model composed of 10 protein markers, which allowed discrimination between pCR patients and non-pCR patients (area under the curve (AUC) = 0.886 on testing set). Higher HEP2 and GELS or lower S10A8 in baseline sera were associated with better prognosis. Higher APOA1 in post nCRT sera was associated with better disease-free survival (DFS). CONCLUSIONS: We identified and confirmed a 10-protein panel for nCRT response prediction and four potential biomarkers HEP2, GELS, S10A8 and APOA1 for prognosis of rectal cancer based on iTRAQ-based comparative proteomics screening and PRM-based targeted proteomic validation. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-022-09960-z. BioMed Central 2022-08-09 /pmc/articles/PMC9361520/ /pubmed/35945555 http://dx.doi.org/10.1186/s12885-022-09960-z Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Wang, Hanyang Ji, Dengbo Tian, Huifang Gao, Zhaoya Song, Can Jia, Jinying Cui, Xinxin Zhong, Lijun Shen, Jing Gu, Jin Predictive value of proteomic markers for advanced rectal cancer with neoadjuvant chemoradiotherapy |
title | Predictive value of proteomic markers for advanced rectal cancer with neoadjuvant chemoradiotherapy |
title_full | Predictive value of proteomic markers for advanced rectal cancer with neoadjuvant chemoradiotherapy |
title_fullStr | Predictive value of proteomic markers for advanced rectal cancer with neoadjuvant chemoradiotherapy |
title_full_unstemmed | Predictive value of proteomic markers for advanced rectal cancer with neoadjuvant chemoradiotherapy |
title_short | Predictive value of proteomic markers for advanced rectal cancer with neoadjuvant chemoradiotherapy |
title_sort | predictive value of proteomic markers for advanced rectal cancer with neoadjuvant chemoradiotherapy |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9361520/ https://www.ncbi.nlm.nih.gov/pubmed/35945555 http://dx.doi.org/10.1186/s12885-022-09960-z |
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