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Mass Spectrometry-Based Comprehensive Analysis of Pancreatic Cyst Fluids

Pancreatic cyst fluids (PCFs) enriched in tumour-derived proteins are considered a potential source of new biomarkers. This study aimed to determine compositional and quantitative differences between the degradome and proteome of PCFs aspirated from different types of pancreatic cyst lesions (PCLs)....

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Autores principales: Paziewska, Agnieszka, Polkowski, Marcin, Rubel, Tymon, Karczmarski, Jakub, Wiechowska-Kozlowska, Anna, Dabrowska, Michalina, Mikula, Michal, Dadlez, Michal, Ostrowski, Jerzy
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6304507/
https://www.ncbi.nlm.nih.gov/pubmed/30627566
http://dx.doi.org/10.1155/2018/7169595
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author Paziewska, Agnieszka
Polkowski, Marcin
Rubel, Tymon
Karczmarski, Jakub
Wiechowska-Kozlowska, Anna
Dabrowska, Michalina
Mikula, Michal
Dadlez, Michal
Ostrowski, Jerzy
author_facet Paziewska, Agnieszka
Polkowski, Marcin
Rubel, Tymon
Karczmarski, Jakub
Wiechowska-Kozlowska, Anna
Dabrowska, Michalina
Mikula, Michal
Dadlez, Michal
Ostrowski, Jerzy
author_sort Paziewska, Agnieszka
collection PubMed
description Pancreatic cyst fluids (PCFs) enriched in tumour-derived proteins are considered a potential source of new biomarkers. This study aimed to determine compositional and quantitative differences between the degradome and proteome of PCFs aspirated from different types of pancreatic cyst lesions (PCLs). 91 patients who underwent endoscopic ultrasound-fine needle aspiration under routine clinical diagnosis of PCLs were enrolled. Four cysts were malignant (CAs), and 87 were nonmalignant and consisted of 18 intraductal papillary mucinous neoplasms (IPMNs), 14 mucinous cystic neoplasms (MCNs), nine serous cystic neoplasms (SCNs), 29 pseudocysts (PCs), and 17 unclassified. Profiles of the <5 kDa fraction, the degradome, and the trypsin-digested proteome were analysed using an LTQ-Orbitrap Elite mass spectrometer coupled with a nanoACQUITY LC system. Qualitative analyses identified 796 and 366 proteins in degradome and proteome, respectively, and 689 (77%) and 285 (78%) of them were present in the Plasma Proteome Database. Gene Ontology analysis showed a significant overrepresentation of peptidases and peptidases inhibitors in both datasets. In the degradome fraction, quantitative values were obtained for 6996 peptides originating from 657 proteins. Of these, 2287 peptides were unique to a single type, and 515 peptides, derived from 126 proteins, were shared across cyst types. 32 peptides originating from 12 proteins had differential (adjusted p-value ≤0.05, FC ≥1.5) abundance in at least one of the five cysts types. In proteome, relative expression was measured for 330 proteins. Of them, 33 proteins had significantly (adjusted p-value ≤0.05, FC ≥1.5) altered abundance in at least one of the studied groups and 19 proteins appeared to be unique to a given cyst type. PCFs are dominated by blood proteins and proteolytic enzymes. Although differences in PCF peptide composition and abundance could aid classification of PCLs, the unpredictable inherent PCF proteolytic activity may limit the practical applications of PCF protein profiling.
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spelling pubmed-63045072019-01-09 Mass Spectrometry-Based Comprehensive Analysis of Pancreatic Cyst Fluids Paziewska, Agnieszka Polkowski, Marcin Rubel, Tymon Karczmarski, Jakub Wiechowska-Kozlowska, Anna Dabrowska, Michalina Mikula, Michal Dadlez, Michal Ostrowski, Jerzy Biomed Res Int Research Article Pancreatic cyst fluids (PCFs) enriched in tumour-derived proteins are considered a potential source of new biomarkers. This study aimed to determine compositional and quantitative differences between the degradome and proteome of PCFs aspirated from different types of pancreatic cyst lesions (PCLs). 91 patients who underwent endoscopic ultrasound-fine needle aspiration under routine clinical diagnosis of PCLs were enrolled. Four cysts were malignant (CAs), and 87 were nonmalignant and consisted of 18 intraductal papillary mucinous neoplasms (IPMNs), 14 mucinous cystic neoplasms (MCNs), nine serous cystic neoplasms (SCNs), 29 pseudocysts (PCs), and 17 unclassified. Profiles of the <5 kDa fraction, the degradome, and the trypsin-digested proteome were analysed using an LTQ-Orbitrap Elite mass spectrometer coupled with a nanoACQUITY LC system. Qualitative analyses identified 796 and 366 proteins in degradome and proteome, respectively, and 689 (77%) and 285 (78%) of them were present in the Plasma Proteome Database. Gene Ontology analysis showed a significant overrepresentation of peptidases and peptidases inhibitors in both datasets. In the degradome fraction, quantitative values were obtained for 6996 peptides originating from 657 proteins. Of these, 2287 peptides were unique to a single type, and 515 peptides, derived from 126 proteins, were shared across cyst types. 32 peptides originating from 12 proteins had differential (adjusted p-value ≤0.05, FC ≥1.5) abundance in at least one of the five cysts types. In proteome, relative expression was measured for 330 proteins. Of them, 33 proteins had significantly (adjusted p-value ≤0.05, FC ≥1.5) altered abundance in at least one of the studied groups and 19 proteins appeared to be unique to a given cyst type. PCFs are dominated by blood proteins and proteolytic enzymes. Although differences in PCF peptide composition and abundance could aid classification of PCLs, the unpredictable inherent PCF proteolytic activity may limit the practical applications of PCF protein profiling. Hindawi 2018-11-29 /pmc/articles/PMC6304507/ /pubmed/30627566 http://dx.doi.org/10.1155/2018/7169595 Text en Copyright © 2018 Agnieszka Paziewska et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Paziewska, Agnieszka
Polkowski, Marcin
Rubel, Tymon
Karczmarski, Jakub
Wiechowska-Kozlowska, Anna
Dabrowska, Michalina
Mikula, Michal
Dadlez, Michal
Ostrowski, Jerzy
Mass Spectrometry-Based Comprehensive Analysis of Pancreatic Cyst Fluids
title Mass Spectrometry-Based Comprehensive Analysis of Pancreatic Cyst Fluids
title_full Mass Spectrometry-Based Comprehensive Analysis of Pancreatic Cyst Fluids
title_fullStr Mass Spectrometry-Based Comprehensive Analysis of Pancreatic Cyst Fluids
title_full_unstemmed Mass Spectrometry-Based Comprehensive Analysis of Pancreatic Cyst Fluids
title_short Mass Spectrometry-Based Comprehensive Analysis of Pancreatic Cyst Fluids
title_sort mass spectrometry-based comprehensive analysis of pancreatic cyst fluids
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6304507/
https://www.ncbi.nlm.nih.gov/pubmed/30627566
http://dx.doi.org/10.1155/2018/7169595
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