MALDI Mass Spectrometry Imaging for the Distinction of Adenocarcinomas of the Pancreas and Biliary Tree

Pancreatic ductal adenocarcinoma and cholangiocarcinoma constitute two aggressive tumor types that originate from the epithelial lining of the excretory ducts of the pancreatobiliary tract. Given their close histomorphological resemblance, a correct diagnosis can be challenging and almost impossible...

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Main Authors: Christine Bollwein, Juliana Pereira Lopes Gonҫalves, Kirsten Utpatel, Wilko Weichert, Kristina Schwamborn
Format: Article
Language:English
Published: MDPI AG 2022-05-01
Series:Molecules
Subjects:
Online Access:https://www.mdpi.com/1420-3049/27/11/3464
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author Christine Bollwein
Juliana Pereira Lopes Gonҫalves
Kirsten Utpatel
Wilko Weichert
Kristina Schwamborn
author_facet Christine Bollwein
Juliana Pereira Lopes Gonҫalves
Kirsten Utpatel
Wilko Weichert
Kristina Schwamborn
author_sort Christine Bollwein
collection DOAJ
description Pancreatic ductal adenocarcinoma and cholangiocarcinoma constitute two aggressive tumor types that originate from the epithelial lining of the excretory ducts of the pancreatobiliary tract. Given their close histomorphological resemblance, a correct diagnosis can be challenging and almost impossible without clinical information. In this study, we investigated whether mass spectrometric peptide features could be employed to distinguish pancreatic ductal adenocarcinoma from cholangiocarcinoma. Three tissue microarrays of formalin-fixed and paraffin-embedded material (FFPE) comprising 41 cases of pancreatic ductal adenocarcinoma and 41 cases of cholangiocarcinoma were analyzed by matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI-MSI). The derived peptide features and respective intensities were used to build different supervised classification algorithms: gradient boosting (GB), support vector machine (SVM), and k-nearest neighbors (KNN). On a pixel-by-pixel level, a classification accuracy of up to 95% could be achieved. The tentative identification of discriminative tryptic peptide signatures revealed proteins that are involved in the epigenetic regulation of the genome and tumor microenvironment. Despite their histomorphological similarities, mass spectrometry imaging represents an efficient and reliable approach for the distinction of PDAC from CC, offering a promising complementary or alternative approach to the existing tools used in diagnostics such as immunohistochemistry.
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spelling doaj.art-fea0b7e85a9747beae5a28c2fc600eb92023-11-23T14:29:10ZengMDPI AGMolecules1420-30492022-05-012711346410.3390/molecules27113464MALDI Mass Spectrometry Imaging for the Distinction of Adenocarcinomas of the Pancreas and Biliary TreeChristine Bollwein0Juliana Pereira Lopes Gonҫalves1Kirsten Utpatel2Wilko Weichert3Kristina Schwamborn4Institute of Pathology, School of Medicine, Technical University of Munich, Trogerstraße 18, 81675 Munich, GermanyInstitute of Pathology, School of Medicine, Technical University of Munich, Trogerstraße 18, 81675 Munich, GermanyInstitute of Pathology, University of Regensburg, Franz-Josef-Strauß-Allee 11, 93053 Regensburg, GermanyInstitute of Pathology, School of Medicine, Technical University of Munich, Trogerstraße 18, 81675 Munich, GermanyInstitute of Pathology, School of Medicine, Technical University of Munich, Trogerstraße 18, 81675 Munich, GermanyPancreatic ductal adenocarcinoma and cholangiocarcinoma constitute two aggressive tumor types that originate from the epithelial lining of the excretory ducts of the pancreatobiliary tract. Given their close histomorphological resemblance, a correct diagnosis can be challenging and almost impossible without clinical information. In this study, we investigated whether mass spectrometric peptide features could be employed to distinguish pancreatic ductal adenocarcinoma from cholangiocarcinoma. Three tissue microarrays of formalin-fixed and paraffin-embedded material (FFPE) comprising 41 cases of pancreatic ductal adenocarcinoma and 41 cases of cholangiocarcinoma were analyzed by matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI-MSI). The derived peptide features and respective intensities were used to build different supervised classification algorithms: gradient boosting (GB), support vector machine (SVM), and k-nearest neighbors (KNN). On a pixel-by-pixel level, a classification accuracy of up to 95% could be achieved. The tentative identification of discriminative tryptic peptide signatures revealed proteins that are involved in the epigenetic regulation of the genome and tumor microenvironment. Despite their histomorphological similarities, mass spectrometry imaging represents an efficient and reliable approach for the distinction of PDAC from CC, offering a promising complementary or alternative approach to the existing tools used in diagnostics such as immunohistochemistry.https://www.mdpi.com/1420-3049/27/11/3464MALDI-MSItandem mass spectrometrypancreatic ductal adenocarcinomacholangiocarcinomamachine learningsupervised classification
spellingShingle Christine Bollwein
Juliana Pereira Lopes Gonҫalves
Kirsten Utpatel
Wilko Weichert
Kristina Schwamborn
MALDI Mass Spectrometry Imaging for the Distinction of Adenocarcinomas of the Pancreas and Biliary Tree
Molecules
MALDI-MSI
tandem mass spectrometry
pancreatic ductal adenocarcinoma
cholangiocarcinoma
machine learning
supervised classification
title MALDI Mass Spectrometry Imaging for the Distinction of Adenocarcinomas of the Pancreas and Biliary Tree
title_full MALDI Mass Spectrometry Imaging for the Distinction of Adenocarcinomas of the Pancreas and Biliary Tree
title_fullStr MALDI Mass Spectrometry Imaging for the Distinction of Adenocarcinomas of the Pancreas and Biliary Tree
title_full_unstemmed MALDI Mass Spectrometry Imaging for the Distinction of Adenocarcinomas of the Pancreas and Biliary Tree
title_short MALDI Mass Spectrometry Imaging for the Distinction of Adenocarcinomas of the Pancreas and Biliary Tree
title_sort maldi mass spectrometry imaging for the distinction of adenocarcinomas of the pancreas and biliary tree
topic MALDI-MSI
tandem mass spectrometry
pancreatic ductal adenocarcinoma
cholangiocarcinoma
machine learning
supervised classification
url https://www.mdpi.com/1420-3049/27/11/3464
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AT kirstenutpatel maldimassspectrometryimagingforthedistinctionofadenocarcinomasofthepancreasandbiliarytree
AT wilkoweichert maldimassspectrometryimagingforthedistinctionofadenocarcinomasofthepancreasandbiliarytree
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