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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| Format: | Article |
| Language: | English |
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MDPI AG
2022-07-01
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| Series: | Molecules |
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| Online Access: | https://www.mdpi.com/1420-3049/27/15/4811 |
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| author | Juliana Pereira Lopes Gonçalves Christine Bollwein Anna Melissa Schlitter Mark Kriegsmann Anne Jacob Wilko Weichert Kristina Schwamborn |
| author_facet | Juliana Pereira Lopes Gonçalves Christine Bollwein Anna Melissa Schlitter Mark Kriegsmann Anne Jacob Wilko Weichert Kristina Schwamborn |
| author_sort | Juliana Pereira Lopes Gonçalves |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-09T05:11:15Z |
| format | Article |
| id | doaj.art-a2d187e4821a451da683d7d45056c23e |
| institution | Directory Open Access Journal |
| issn | 1420-3049 |
| language | English |
| last_indexed | 2024-03-09T05:11:15Z |
| publishDate | 2022-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Molecules |
| spelling | doaj.art-a2d187e4821a451da683d7d45056c23e2023-12-03T12:49:50ZengMDPI AGMolecules1420-30492022-07-012715481110.3390/molecules27154811MALDI-MSI: A Powerful Approach to Understand Primary Pancreatic Ductal Adenocarcinoma and MetastasesJuliana Pereira Lopes Gonçalves0Christine Bollwein1Anna Melissa Schlitter2Mark Kriegsmann3Anne Jacob4Wilko Weichert5Kristina Schwamborn6Institute 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, School of Medicine, Technical University of Munich, Trogerstraße 18, 81675 Munich, GermanyInstitute of Pathology, University of Heidelberg, 69120 Heidelberg, 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, GermanyInstitute of Pathology, School of Medicine, Technical University of Munich, Trogerstraße 18, 81675 Munich, GermanyCancer-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.https://www.mdpi.com/1420-3049/27/15/4811pancreatic ductal adenocarcinomamass spectrometry imagingmetastasistumor developmentproteomicsprognosis |
| spellingShingle | Juliana Pereira Lopes Gonçalves Christine Bollwein Anna Melissa Schlitter Mark Kriegsmann Anne Jacob Wilko Weichert Kristina Schwamborn MALDI-MSI: A Powerful Approach to Understand Primary Pancreatic Ductal Adenocarcinoma and Metastases Molecules pancreatic ductal adenocarcinoma mass spectrometry imaging metastasis tumor development proteomics prognosis |
| title | MALDI-MSI: A Powerful Approach to Understand Primary Pancreatic Ductal Adenocarcinoma and Metastases |
| title_full | MALDI-MSI: A Powerful Approach to Understand Primary Pancreatic Ductal Adenocarcinoma and Metastases |
| title_fullStr | MALDI-MSI: A Powerful Approach to Understand Primary Pancreatic Ductal Adenocarcinoma and Metastases |
| title_full_unstemmed | MALDI-MSI: A Powerful Approach to Understand Primary Pancreatic Ductal Adenocarcinoma and Metastases |
| title_short | MALDI-MSI: A Powerful Approach to Understand Primary Pancreatic Ductal Adenocarcinoma and Metastases |
| title_sort | maldi msi a powerful approach to understand primary pancreatic ductal adenocarcinoma and metastases |
| topic | pancreatic ductal adenocarcinoma mass spectrometry imaging metastasis tumor development proteomics prognosis |
| url | https://www.mdpi.com/1420-3049/27/15/4811 |
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