Development of a Class Prediction Model to Discriminate Pancreatic Ductal Adenocarcinoma from Pancreatic Neuroendocrine Tumor by MALDI Mass Spectrometry Imaging

Journal article


Publication Details

Author(s): Casadonte R, Kriegsmann M, Perren A, Baretton G, Deininger SO, Kriegsmann K, Welsch T, Pilarsky C, Kriegsmann J
Journal: Proteomics Clinical Applications
Publication year: 2019
Volume: 13
Journal issue: 1
ISSN: 1862-8346


Abstract

Purpose To define proteomic differences between pancreatic ductal adenocarcinoma (pDAC) and pancreatic neuroendocrine tumor (pNET) by matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI MSI). Experimental design Ninety-three pDAC and 126 pNET individual tissues are assembled in tissue microarrays and analyzed by MALDI MSI. The cohort is separated in a training (52 pDAC and 83 pNET) and validation set (41 pDAC and 43 pNET). Subsequently, a linear discriminant analysis (LDA) model based on 46 peptide ions is performed on the training set and evaluated on the validation cohort. Additionally, two liver metastases and a whole slide of pDAC are analyzed by the same LDA algorithm. Results Classification of pDAC and pNET by the LDA model is correct in 95% (39/41) and 100% (43/43) of patients in the validation cohort, respectively. The two liver metastases and the whole slide of pDAC are also correctly classified in agreement with the histopathological diagnosis. Conclusion and clinical relevance: In the present study, a large dataset of pDAC and pNET by MALDI MSI is investigated, a class prediction model that allowed separation of both entities with high accuracy is developed, and differential peptide peaks with potential diagnostic, prognostic, and predictive values are highlighted.


FAU Authors / FAU Editors

Pilarsky, Christian Prof. Dr.
Professur für Chirurgische Forschung


External institutions with authors

Bruker Corporation
Proteopath GmbH
Ruprecht-Karls-Universität Heidelberg
Technische Universität Dresden
Universität Bern


How to cite

APA:
Casadonte, R., Kriegsmann, M., Perren, A., Baretton, G., Deininger, S.-O., Kriegsmann, K.,... Kriegsmann, J. (2019). Development of a Class Prediction Model to Discriminate Pancreatic Ductal Adenocarcinoma from Pancreatic Neuroendocrine Tumor by MALDI Mass Spectrometry Imaging. Proteomics Clinical Applications, 13(1). https://dx.doi.org/10.1002/prca.201800046

MLA:
Casadonte, Rita, et al. "Development of a Class Prediction Model to Discriminate Pancreatic Ductal Adenocarcinoma from Pancreatic Neuroendocrine Tumor by MALDI Mass Spectrometry Imaging." Proteomics Clinical Applications 13.1 (2019).

BibTeX: 

Last updated on 2019-13-03 at 14:53