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Plasma-Derived Exosomal ALIX as a Novel Biomarker for Diagnosis and Classification of Pancreatic Cancer

BACKGROUND: Pancreatic cancer (PC) has a dismal prognosis due to its insidious early symptoms and poor early detection rate. Exosomes can be released by various cell types and tend to be a potential novel biomarker for PC detection. In this study, we explored the proteomic profiles of plasma exosome...

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Autores principales: Yang, Jie, Zhang, Yixuan, Gao, Xin, Yuan, Yue, Zhao, Jing, Zhou, Siqi, Wang, Hui, Wang, Lei, Xu, Guifang, Li, Xihan, Wang, Pin, Zou, Xiaoping, Zhu, Dongming, Lv, Ying, Zhang, Shu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8131866/
https://www.ncbi.nlm.nih.gov/pubmed/34026608
http://dx.doi.org/10.3389/fonc.2021.628346
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author Yang, Jie
Zhang, Yixuan
Gao, Xin
Yuan, Yue
Zhao, Jing
Zhou, Siqi
Wang, Hui
Wang, Lei
Xu, Guifang
Li, Xihan
Wang, Pin
Zou, Xiaoping
Zhu, Dongming
Lv, Ying
Zhang, Shu
author_facet Yang, Jie
Zhang, Yixuan
Gao, Xin
Yuan, Yue
Zhao, Jing
Zhou, Siqi
Wang, Hui
Wang, Lei
Xu, Guifang
Li, Xihan
Wang, Pin
Zou, Xiaoping
Zhu, Dongming
Lv, Ying
Zhang, Shu
author_sort Yang, Jie
collection PubMed
description BACKGROUND: Pancreatic cancer (PC) has a dismal prognosis due to its insidious early symptoms and poor early detection rate. Exosomes can be released by various cell types and tend to be a potential novel biomarker for PC detection. In this study, we explored the proteomic profiles of plasma exosomes collected from patients with PC at different stages and other pancreatic diseases. METHODS: Plasma samples were collected from six groups of patients, including PC at stage I/II, PC at stage III/IV, well-differentiated pancreatic neuroendocrine tumor (P-NET), pancreatic cystic lesions (PCLs), chronic pancreatitis (CP), and healthy controls (HCs). Plasma-derived exosomes were isolated by ultracentrifugation and identified routinely. Isobaric tags for relative and absolute quantification (iTRAQ) based proteomic analysis along with bioinformatic analysis were performed to elucidate the biological functions of proteins. The expression of exosomal ALIX was further confirmed by enzyme-linked immunosorbent assay in a larger cohort of patients. Furthermore, receiver operating characteristic curve analysis was applied to evaluate the potential of ALIX as a novel diagnostic biomarker. RESULTS: The proteomic profile revealed a total of 623 proteins expressed among the six groups, and 16 proteins with differential degrees of abundance were found in PC vs. other pancreatic diseases (including P-NET, PCLs, and CP). Based on the results of proteomic and bioinformatic analyses, exosomal ALIX was subsequently selected as a novel biomarker for PC detection and validated in another clinical cohort. We noticed that ALIX expression was elevated in PC patients compared with patients with other pancreatic diseases or HC, and it was also closely associated with TNM stage and distant metastasis. Interestingly, the combination of exosomal ALIX and serum CA199 has greater values in differentiating both early vs. late PC (AUC value 0.872) and PC vs. other pancreatic diseases (AUC value 0.910) than either ALIX or CA199 alone. CONCLUSION: In summary, our study demonstrated that based on proteomic profiling, proteins isolated from the plasma-derived exosomes may function as ideal non-invasive biomarkers for the clinical diagnosis of PC. Importantly, exosomal ALIX combined with CA199 has great potentials in detection of PC, especially in distinguishing PC patients at early stages from advanced stages.
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spelling pubmed-81318662021-05-20 Plasma-Derived Exosomal ALIX as a Novel Biomarker for Diagnosis and Classification of Pancreatic Cancer Yang, Jie Zhang, Yixuan Gao, Xin Yuan, Yue Zhao, Jing Zhou, Siqi Wang, Hui Wang, Lei Xu, Guifang Li, Xihan Wang, Pin Zou, Xiaoping Zhu, Dongming Lv, Ying Zhang, Shu Front Oncol Oncology BACKGROUND: Pancreatic cancer (PC) has a dismal prognosis due to its insidious early symptoms and poor early detection rate. Exosomes can be released by various cell types and tend to be a potential novel biomarker for PC detection. In this study, we explored the proteomic profiles of plasma exosomes collected from patients with PC at different stages and other pancreatic diseases. METHODS: Plasma samples were collected from six groups of patients, including PC at stage I/II, PC at stage III/IV, well-differentiated pancreatic neuroendocrine tumor (P-NET), pancreatic cystic lesions (PCLs), chronic pancreatitis (CP), and healthy controls (HCs). Plasma-derived exosomes were isolated by ultracentrifugation and identified routinely. Isobaric tags for relative and absolute quantification (iTRAQ) based proteomic analysis along with bioinformatic analysis were performed to elucidate the biological functions of proteins. The expression of exosomal ALIX was further confirmed by enzyme-linked immunosorbent assay in a larger cohort of patients. Furthermore, receiver operating characteristic curve analysis was applied to evaluate the potential of ALIX as a novel diagnostic biomarker. RESULTS: The proteomic profile revealed a total of 623 proteins expressed among the six groups, and 16 proteins with differential degrees of abundance were found in PC vs. other pancreatic diseases (including P-NET, PCLs, and CP). Based on the results of proteomic and bioinformatic analyses, exosomal ALIX was subsequently selected as a novel biomarker for PC detection and validated in another clinical cohort. We noticed that ALIX expression was elevated in PC patients compared with patients with other pancreatic diseases or HC, and it was also closely associated with TNM stage and distant metastasis. Interestingly, the combination of exosomal ALIX and serum CA199 has greater values in differentiating both early vs. late PC (AUC value 0.872) and PC vs. other pancreatic diseases (AUC value 0.910) than either ALIX or CA199 alone. CONCLUSION: In summary, our study demonstrated that based on proteomic profiling, proteins isolated from the plasma-derived exosomes may function as ideal non-invasive biomarkers for the clinical diagnosis of PC. Importantly, exosomal ALIX combined with CA199 has great potentials in detection of PC, especially in distinguishing PC patients at early stages from advanced stages. Frontiers Media S.A. 2021-05-05 /pmc/articles/PMC8131866/ /pubmed/34026608 http://dx.doi.org/10.3389/fonc.2021.628346 Text en Copyright © 2021 Yang, Zhang, Gao, Yuan, Zhao, Zhou, Wang, Wang, Xu, Li, Wang, Zou, Zhu, Lv and Zhang 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
Yang, Jie
Zhang, Yixuan
Gao, Xin
Yuan, Yue
Zhao, Jing
Zhou, Siqi
Wang, Hui
Wang, Lei
Xu, Guifang
Li, Xihan
Wang, Pin
Zou, Xiaoping
Zhu, Dongming
Lv, Ying
Zhang, Shu
Plasma-Derived Exosomal ALIX as a Novel Biomarker for Diagnosis and Classification of Pancreatic Cancer
title Plasma-Derived Exosomal ALIX as a Novel Biomarker for Diagnosis and Classification of Pancreatic Cancer
title_full Plasma-Derived Exosomal ALIX as a Novel Biomarker for Diagnosis and Classification of Pancreatic Cancer
title_fullStr Plasma-Derived Exosomal ALIX as a Novel Biomarker for Diagnosis and Classification of Pancreatic Cancer
title_full_unstemmed Plasma-Derived Exosomal ALIX as a Novel Biomarker for Diagnosis and Classification of Pancreatic Cancer
title_short Plasma-Derived Exosomal ALIX as a Novel Biomarker for Diagnosis and Classification of Pancreatic Cancer
title_sort plasma-derived exosomal alix as a novel biomarker for diagnosis and classification of pancreatic cancer
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8131866/
https://www.ncbi.nlm.nih.gov/pubmed/34026608
http://dx.doi.org/10.3389/fonc.2021.628346
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