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Proteomics-based identification of proteins in tumor-derived exosomes as candidate biomarkers for colorectal cancer

BACKGROUND: Colorectal cancer (CRC) is the second leading cause of cancer-related death, with high morbidity worldwide. There is an urgent need to find reliable diagnostic biomarkers of CRC and explore the underlying molecular mechanisms. Exosomes are involved in intercellular communication and part...

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Autores principales: Zhou, Ge-Yu-Jia, Zhao, Dong-Yan, Yin, Teng-Fei, Wang, Qian-Qian, Zhou, Yuan-Chen, Yao, Shu-Kun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Baishideng Publishing Group Inc 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10401461/
https://www.ncbi.nlm.nih.gov/pubmed/37546562
http://dx.doi.org/10.4251/wjgo.v15.i7.1227
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author Zhou, Ge-Yu-Jia
Zhao, Dong-Yan
Yin, Teng-Fei
Wang, Qian-Qian
Zhou, Yuan-Chen
Yao, Shu-Kun
author_facet Zhou, Ge-Yu-Jia
Zhao, Dong-Yan
Yin, Teng-Fei
Wang, Qian-Qian
Zhou, Yuan-Chen
Yao, Shu-Kun
author_sort Zhou, Ge-Yu-Jia
collection PubMed
description BACKGROUND: Colorectal cancer (CRC) is the second leading cause of cancer-related death, with high morbidity worldwide. There is an urgent need to find reliable diagnostic biomarkers of CRC and explore the underlying molecular mechanisms. Exosomes are involved in intercellular communication and participate in multiple pathological processes, serving as an important part of the tumor microenvironment. AIM: To investigate the proteomic characteristics of CRC tumor-derived exosomes and to identify candidate exosomal protein markers for CRC. METHODS: In this study, 10 patients over 50 years old who were diagnosed with moderately differentiated adenocarcinoma were recruited. We paired CRC tissues and adjacent normal intestinal tissues (> 5 cm) to form the experimental and control groups. Purified exosomes were extracted separately from each tissue sample. Data-independent acquisition mass spectrometry was implemented in 8 matched samples of exosomes to explore the proteomic expression profiles, and differentially expressed proteins (DEPs) were screened by bioinformatics analysis. Promising exosomal proteins were verified using parallel reaction monitoring (PRM) analysis in 10 matched exosome samples. RESULTS: A total of 1393 proteins were identified in the CRC tissue group, 1304 proteins were identified in the adjacent tissue group, and 283 proteins were significantly differentially expressed between them. Enrichment analysis revealed that DEPs were involved in multiple biological processes related to cytoskeleton construction, cell movement and migration, immune response, tumor growth and telomere metabolism, as well as ECM-receptor interaction, focal adhesion and mTOR signaling pathways. Six differentially expressed exosomal proteins (NHP2, OLFM4, TOP1, SAMP, TAGL and TRIM28) were validated by PRM analysis and evaluated by receiver operating characteristic curve (ROC) analysis. The area under the ROC curve was 0.93, 0.96, 0.97, 0.78, 0.75, and 0.88 (P < 0.05) for NHP2, OLFM4, TOP1, SAMP, TAGL, and TRIM28, respectively, indicating their good ability to distinguish CRC tissues from adjacent intestinal tissues. CONCLUSION: In our study, comprehensive proteomic profiles were obtained for CRC tissue exosomes. Six exosomal proteins, NHP2, OLFM4, TOP1, SAMP, TAGL and TRIM28, may be promising diagnostic markers and effective therapeutic targets for CRC, but further experimental investigation is needed.
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spelling pubmed-104014612023-08-05 Proteomics-based identification of proteins in tumor-derived exosomes as candidate biomarkers for colorectal cancer Zhou, Ge-Yu-Jia Zhao, Dong-Yan Yin, Teng-Fei Wang, Qian-Qian Zhou, Yuan-Chen Yao, Shu-Kun World J Gastrointest Oncol Case Control Study BACKGROUND: Colorectal cancer (CRC) is the second leading cause of cancer-related death, with high morbidity worldwide. There is an urgent need to find reliable diagnostic biomarkers of CRC and explore the underlying molecular mechanisms. Exosomes are involved in intercellular communication and participate in multiple pathological processes, serving as an important part of the tumor microenvironment. AIM: To investigate the proteomic characteristics of CRC tumor-derived exosomes and to identify candidate exosomal protein markers for CRC. METHODS: In this study, 10 patients over 50 years old who were diagnosed with moderately differentiated adenocarcinoma were recruited. We paired CRC tissues and adjacent normal intestinal tissues (> 5 cm) to form the experimental and control groups. Purified exosomes were extracted separately from each tissue sample. Data-independent acquisition mass spectrometry was implemented in 8 matched samples of exosomes to explore the proteomic expression profiles, and differentially expressed proteins (DEPs) were screened by bioinformatics analysis. Promising exosomal proteins were verified using parallel reaction monitoring (PRM) analysis in 10 matched exosome samples. RESULTS: A total of 1393 proteins were identified in the CRC tissue group, 1304 proteins were identified in the adjacent tissue group, and 283 proteins were significantly differentially expressed between them. Enrichment analysis revealed that DEPs were involved in multiple biological processes related to cytoskeleton construction, cell movement and migration, immune response, tumor growth and telomere metabolism, as well as ECM-receptor interaction, focal adhesion and mTOR signaling pathways. Six differentially expressed exosomal proteins (NHP2, OLFM4, TOP1, SAMP, TAGL and TRIM28) were validated by PRM analysis and evaluated by receiver operating characteristic curve (ROC) analysis. The area under the ROC curve was 0.93, 0.96, 0.97, 0.78, 0.75, and 0.88 (P < 0.05) for NHP2, OLFM4, TOP1, SAMP, TAGL, and TRIM28, respectively, indicating their good ability to distinguish CRC tissues from adjacent intestinal tissues. CONCLUSION: In our study, comprehensive proteomic profiles were obtained for CRC tissue exosomes. Six exosomal proteins, NHP2, OLFM4, TOP1, SAMP, TAGL and TRIM28, may be promising diagnostic markers and effective therapeutic targets for CRC, but further experimental investigation is needed. Baishideng Publishing Group Inc 2023-07-15 2023-07-15 /pmc/articles/PMC10401461/ /pubmed/37546562 http://dx.doi.org/10.4251/wjgo.v15.i7.1227 Text en ©The Author(s) 2023. Published by Baishideng Publishing Group Inc. All rights reserved. https://creativecommons.org/licenses/by-nc/4.0/This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial.
spellingShingle Case Control Study
Zhou, Ge-Yu-Jia
Zhao, Dong-Yan
Yin, Teng-Fei
Wang, Qian-Qian
Zhou, Yuan-Chen
Yao, Shu-Kun
Proteomics-based identification of proteins in tumor-derived exosomes as candidate biomarkers for colorectal cancer
title Proteomics-based identification of proteins in tumor-derived exosomes as candidate biomarkers for colorectal cancer
title_full Proteomics-based identification of proteins in tumor-derived exosomes as candidate biomarkers for colorectal cancer
title_fullStr Proteomics-based identification of proteins in tumor-derived exosomes as candidate biomarkers for colorectal cancer
title_full_unstemmed Proteomics-based identification of proteins in tumor-derived exosomes as candidate biomarkers for colorectal cancer
title_short Proteomics-based identification of proteins in tumor-derived exosomes as candidate biomarkers for colorectal cancer
title_sort proteomics-based identification of proteins in tumor-derived exosomes as candidate biomarkers for colorectal cancer
topic Case Control Study
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10401461/
https://www.ncbi.nlm.nih.gov/pubmed/37546562
http://dx.doi.org/10.4251/wjgo.v15.i7.1227
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