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Functional noninvasive detection of glycolytic pancreatic ductal adenocarcinoma

BACKGROUND: Pancreatic ductal adenocarcinoma (PDAC) lacks effective treatment options beyond chemotherapy. Although molecular subtypes such as classical and QM (quasi-mesenchymal)/basal-like with transcriptome-based distinct signatures have been identified, deduced therapeutic strategies and targets...

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Autores principales: Heid, Irina, Münch, Corinna, Karakaya, Sinan, Lueong, Smiths S., Winkelkotte, Alina M., Liffers, Sven T., Godfrey, Laura, Cheung, Phyllis F. Y., Savvatakis, Konstantinos, Topping, Geoffrey J., Englert, Florian, Kritzner, Lukas, Grashei, Martin, Tannapfel, Andrea, Viebahn, Richard, Wolters, Heiner, Uhl, Waldemar, Vangala, Deepak, Smeets, Esther M. M., Aarntzen, Erik H. J. G., Rauh, Daniel, Weichert, Wilko, Hoheisel, Jörg D., Hahn, Stephan A., Schilling, Franz, Braren, Rickmer, Trajkovic-Arsic, Marija, Siveke, Jens T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9737747/
https://www.ncbi.nlm.nih.gov/pubmed/36494842
http://dx.doi.org/10.1186/s40170-022-00298-5
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author Heid, Irina
Münch, Corinna
Karakaya, Sinan
Lueong, Smiths S.
Winkelkotte, Alina M.
Liffers, Sven T.
Godfrey, Laura
Cheung, Phyllis F. Y.
Savvatakis, Konstantinos
Topping, Geoffrey J.
Englert, Florian
Kritzner, Lukas
Grashei, Martin
Tannapfel, Andrea
Viebahn, Richard
Wolters, Heiner
Uhl, Waldemar
Vangala, Deepak
Smeets, Esther M. M.
Aarntzen, Erik H. J. G.
Rauh, Daniel
Weichert, Wilko
Hoheisel, Jörg D.
Hahn, Stephan A.
Schilling, Franz
Braren, Rickmer
Trajkovic-Arsic, Marija
Siveke, Jens T.
author_facet Heid, Irina
Münch, Corinna
Karakaya, Sinan
Lueong, Smiths S.
Winkelkotte, Alina M.
Liffers, Sven T.
Godfrey, Laura
Cheung, Phyllis F. Y.
Savvatakis, Konstantinos
Topping, Geoffrey J.
Englert, Florian
Kritzner, Lukas
Grashei, Martin
Tannapfel, Andrea
Viebahn, Richard
Wolters, Heiner
Uhl, Waldemar
Vangala, Deepak
Smeets, Esther M. M.
Aarntzen, Erik H. J. G.
Rauh, Daniel
Weichert, Wilko
Hoheisel, Jörg D.
Hahn, Stephan A.
Schilling, Franz
Braren, Rickmer
Trajkovic-Arsic, Marija
Siveke, Jens T.
author_sort Heid, Irina
collection PubMed
description BACKGROUND: Pancreatic ductal adenocarcinoma (PDAC) lacks effective treatment options beyond chemotherapy. Although molecular subtypes such as classical and QM (quasi-mesenchymal)/basal-like with transcriptome-based distinct signatures have been identified, deduced therapeutic strategies and targets remain elusive. Gene expression data show enrichment of glycolytic genes in the more aggressive and therapy-resistant QM subtype. However, whether the glycolytic transcripts are translated into functional glycolysis that could further be explored for metabolic targeting in QM subtype is still not known. METHODS: We used different patient-derived PDAC model systems (conventional and primary patient-derived cells, patient-derived xenografts (PDX), and patient samples) and performed transcriptional and functional metabolic analysis. These included RNAseq and Illumina HT12 bead array, in vitro Seahorse metabolic flux assays and metabolic drug targeting, and in vivo hyperpolarized [1-(13)C]pyruvate and [1-(13)C]lactate magnetic resonance spectroscopy (HP-MRS) in PDAC xenografts. RESULTS: We found that glycolytic metabolic dependencies are not unambiguously functionally exposed in all QM PDACs. Metabolic analysis demonstrated functional metabolic heterogeneity in patient-derived primary cells and less so in conventional cell lines independent of molecular subtype. Importantly, we observed that the glycolytic product lactate is actively imported into the PDAC cells and used in mitochondrial oxidation in both classical and QM PDAC cells, although more actively in the QM cell lines. By using HP-MRS, we were able to noninvasively identify highly glycolytic PDAC xenografts by detecting the last glycolytic enzymatic step and prominent intra-tumoral [1-(13)C]pyruvate and [1-(13)C]lactate interconversion in vivo. CONCLUSION: Our study adds functional metabolic phenotyping to transcriptome-based analysis and proposes a functional approach to identify highly glycolytic PDACs as candidates for antimetabolic therapeutic avenues. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40170-022-00298-5.
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spelling pubmed-97377472022-12-11 Functional noninvasive detection of glycolytic pancreatic ductal adenocarcinoma Heid, Irina Münch, Corinna Karakaya, Sinan Lueong, Smiths S. Winkelkotte, Alina M. Liffers, Sven T. Godfrey, Laura Cheung, Phyllis F. Y. Savvatakis, Konstantinos Topping, Geoffrey J. Englert, Florian Kritzner, Lukas Grashei, Martin Tannapfel, Andrea Viebahn, Richard Wolters, Heiner Uhl, Waldemar Vangala, Deepak Smeets, Esther M. M. Aarntzen, Erik H. J. G. Rauh, Daniel Weichert, Wilko Hoheisel, Jörg D. Hahn, Stephan A. Schilling, Franz Braren, Rickmer Trajkovic-Arsic, Marija Siveke, Jens T. Cancer Metab Research BACKGROUND: Pancreatic ductal adenocarcinoma (PDAC) lacks effective treatment options beyond chemotherapy. Although molecular subtypes such as classical and QM (quasi-mesenchymal)/basal-like with transcriptome-based distinct signatures have been identified, deduced therapeutic strategies and targets remain elusive. Gene expression data show enrichment of glycolytic genes in the more aggressive and therapy-resistant QM subtype. However, whether the glycolytic transcripts are translated into functional glycolysis that could further be explored for metabolic targeting in QM subtype is still not known. METHODS: We used different patient-derived PDAC model systems (conventional and primary patient-derived cells, patient-derived xenografts (PDX), and patient samples) and performed transcriptional and functional metabolic analysis. These included RNAseq and Illumina HT12 bead array, in vitro Seahorse metabolic flux assays and metabolic drug targeting, and in vivo hyperpolarized [1-(13)C]pyruvate and [1-(13)C]lactate magnetic resonance spectroscopy (HP-MRS) in PDAC xenografts. RESULTS: We found that glycolytic metabolic dependencies are not unambiguously functionally exposed in all QM PDACs. Metabolic analysis demonstrated functional metabolic heterogeneity in patient-derived primary cells and less so in conventional cell lines independent of molecular subtype. Importantly, we observed that the glycolytic product lactate is actively imported into the PDAC cells and used in mitochondrial oxidation in both classical and QM PDAC cells, although more actively in the QM cell lines. By using HP-MRS, we were able to noninvasively identify highly glycolytic PDAC xenografts by detecting the last glycolytic enzymatic step and prominent intra-tumoral [1-(13)C]pyruvate and [1-(13)C]lactate interconversion in vivo. CONCLUSION: Our study adds functional metabolic phenotyping to transcriptome-based analysis and proposes a functional approach to identify highly glycolytic PDACs as candidates for antimetabolic therapeutic avenues. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40170-022-00298-5. BioMed Central 2022-12-09 /pmc/articles/PMC9737747/ /pubmed/36494842 http://dx.doi.org/10.1186/s40170-022-00298-5 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Heid, Irina
Münch, Corinna
Karakaya, Sinan
Lueong, Smiths S.
Winkelkotte, Alina M.
Liffers, Sven T.
Godfrey, Laura
Cheung, Phyllis F. Y.
Savvatakis, Konstantinos
Topping, Geoffrey J.
Englert, Florian
Kritzner, Lukas
Grashei, Martin
Tannapfel, Andrea
Viebahn, Richard
Wolters, Heiner
Uhl, Waldemar
Vangala, Deepak
Smeets, Esther M. M.
Aarntzen, Erik H. J. G.
Rauh, Daniel
Weichert, Wilko
Hoheisel, Jörg D.
Hahn, Stephan A.
Schilling, Franz
Braren, Rickmer
Trajkovic-Arsic, Marija
Siveke, Jens T.
Functional noninvasive detection of glycolytic pancreatic ductal adenocarcinoma
title Functional noninvasive detection of glycolytic pancreatic ductal adenocarcinoma
title_full Functional noninvasive detection of glycolytic pancreatic ductal adenocarcinoma
title_fullStr Functional noninvasive detection of glycolytic pancreatic ductal adenocarcinoma
title_full_unstemmed Functional noninvasive detection of glycolytic pancreatic ductal adenocarcinoma
title_short Functional noninvasive detection of glycolytic pancreatic ductal adenocarcinoma
title_sort functional noninvasive detection of glycolytic pancreatic ductal adenocarcinoma
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9737747/
https://www.ncbi.nlm.nih.gov/pubmed/36494842
http://dx.doi.org/10.1186/s40170-022-00298-5
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