MALDI-MSI: a powerful approach to understand primary pancreatic ductal adenocarcinoma and metastases

Cancer-related deaths are very commonly attributed to complications from metastases to neighboring as well as distant organs. Dissociate response in the treatment of pancreatic adenocarcinoma is one of the main causes of low treatment success and low survival rates. This behavior could not be explai...

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Hauptverfasser: Gonçalves, Juliana P. L. (VerfasserIn) , Bollwein, Christine (VerfasserIn) , Schlitter, Anna Melissa (VerfasserIn) , Kriegsmann, Mark (VerfasserIn) , Jacob, Anne (VerfasserIn) , Weichert, Wilko (VerfasserIn) , Schwamborn, Kristina (VerfasserIn)
Dokumenttyp: Article (Journal)
Sprache:Englisch
Veröffentlicht: 27 July 2022
In: Molecules
Year: 2022, Jahrgang: 27, Heft: 15, Pages: 1-15
ISSN:1420-3049
DOI:10.3390/molecules27154811
Online-Zugang:Resolving-System, kostenfrei, Volltext: https://doi.org/10.3390/molecules27154811
Verlag, kostenfrei, Volltext: https://www.mdpi.com/1420-3049/27/15/4811
Volltext
Verfasserangaben:Juliana Pereira Lopes Gonçalves, Christine Bollwein, Anna Melissa Schlitter, Mark Kriegsmann, Anne Jacob, Wilko Weichert and Kristina Schwamborn

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520 |a Cancer-related deaths are very commonly attributed to complications from metastases to neighboring as well as distant organs. Dissociate response in the treatment of pancreatic adenocarcinoma is one of the main causes of low treatment success and low survival rates. This behavior could not be explained by transcriptomics or genomics; however, differences in the composition at the protein level could be observed. We have characterized the proteomic composition of primary pancreatic adenocarcinoma and distant metastasis directly in human tissue samples, utilizing mass spectrometry imaging. The mass spectrometry data was used to train and validate machine learning models that could distinguish both tissue entities with an accuracy above 90%. Model validation on samples from another collection yielded a correct classification of both entities. Tentative identification of the discriminative molecular features showed that collagen fragments (COL1A1, COL1A2, and COL3A1) play a fundamental role in tumor development. From the analysis of the receiver operating characteristic, we could further advance some potential targets, such as histone and histone variations, that could provide a better understanding of tumor development, and consequently, more effective treatments. 
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