Mass spectrometry imaging identifies metabolic patterns associated with malignant potential in pheochromocytoma and paraganglioma

Publikation: Beitrag in FachzeitschriftForschungsartikelBeigetragenBegutachtung

Beitragende

  • Masanori Murakami - , Klinikum der Ludwig-Maximilians-Universität (LMU) München (Autor:in)
  • Na Sun - , Klinikum der Ludwig-Maximilians-Universität (LMU) München, Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt (Autor:in)
  • Christian Greunke - , Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt (Autor:in)
  • Annette Feuchtinger - , Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt (Autor:in)
  • Stefan Kircher - , Universitätsklinikum Würzburg (Autor:in)
  • Timo Deutschbein - , Universitätsklinikum Würzburg (Autor:in)
  • Thomas Papathomas - , University of Birmingham (Autor:in)
  • Nicole Bechmann - , Institut für Klinische Chemie und Laboratoriumsmedizin, Medizinische Klinik und Poliklinik 3, Universitätsklinikum Carl Gustav Carus Dresden, Deutsches Institut fur Ernahrungsforschung Potsdam-Rehbrucke (DIfE), Deutsches Zentrum für Diabetesforschung (DZD e.V.) (Autor:in)
  • Paal William Wallace - , Universitätsklinikum Carl Gustav Carus Dresden (Autor:in)
  • Mirko Peitzsch - , Institut für Klinische Chemie und Laboratoriumsmedizin, Universitätsklinikum Carl Gustav Carus Dresden (Autor:in)
  • Esther Korpershoek - , Erasmus University Medical Center (Autor:in)
  • Juliane Friemel - , Universitätsspital Zürich (Autor:in)
  • Anne-Paule Gimenez-Roqueplo - , Université Paris Cité, Hopital Europeen Georges-Pompidou (Autor:in)
  • Mercedes Robledo - , Hereditary Endocrine Cancer Group. Spanish National Cancer Research Center (CNIO) (Autor:in)
  • Henri J L M Timmers - , Radboud University Medical Center (Autor:in)
  • Letizia Canu - , Università degli Studi di Firenze (Autor:in)
  • Achim Weber - , Universitätsspital Zürich (Autor:in)
  • Ronald R de Krijger - , Universitätsklinikum Utrecht (Autor:in)
  • Martin Fassnacht - , Universitätsklinikum Würzburg (Autor:in)
  • Thomas Knösel - , Ludwig-Maximilians-Universität München (LMU) (Autor:in)
  • Thomas Kirchner - , Ludwig-Maximilians-Universität München (LMU) (Autor:in)
  • Martin Reincke - , Klinikum der Ludwig-Maximilians-Universität (LMU) München (Autor:in)
  • Axel Karl Walch - , Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt (Autor:in)
  • Matthias Kroiss - , Klinikum der Ludwig-Maximilians-Universität (LMU) München, Universitätsklinikum Würzburg (Autor:in)
  • Felix Beuschlein - , Klinikum der Ludwig-Maximilians-Universität (LMU) München, Universitätsspital Zürich (Autor:in)

Abstract

OBJECTIVE: Within the past decade, important genetic drivers of pheochromocytoma and paraganglioma (PPGLs) development have been identified. The pathophysiological mechanism that translates these alterations into functional autonomy and potentially malignant behavior has not been elucidated in detail. Here we used MALDI-mass spectrometry imaging (MALDI-MSI) of formalin-fixed paraffin-embedded tissue specimens to comprehensively characterize the metabolic profiles of PPGLs.

DESIGN AND METHODS: MALDI-MSI was conducted in 344 PPGLs and results correlated with genetic and phenotypic information. We experimentally silenced genetic drivers by siRNA in PC12 cells to confirm their metabolic impact in vitro.

RESULTS: Tissue abundance of kynurenine pathway metabolites such as xanthurenic acid was significantly lower (P = 2.35E-09) in the pseudohypoxia pathway cluster 1 compared to PPGLs of the kinase-driven PPGLs cluster 2. Lower abundance of xanthurenic acid was associated with shorter metastasis-free survival (log-rank tests P = 7.96E-06) and identified as a risk factor for metastasis independent of the genetic status (hazard ratio, 32.6, P = 0.002). Knockdown of Sdhb and Vhl in an in vitro model demonstrated that inositol metabolism and sialic acids were similarly modulated as in tumors of the respective cluster.

CONCLUSIONS: The present study has identified distinct tissue metabolomic profiles of PPGLs in relation to tumor genotypes. In addition, we revealed significantly altered metabolites in the kynurenine pathway in metastatic PPGLs, which can aid in the prediction of its malignant potential. However, further validation studies will be required to confirm our findings.

Details

OriginalspracheEnglisch
Seiten (von - bis)179-191
Seitenumfang13
FachzeitschriftEuropean journal of endocrinology
Jahrgang185
Ausgabenummer1
PublikationsstatusVeröffentlicht - 5 Juni 2021
Peer-Review-StatusJa

Externe IDs

Scopus 85107902867
ORCID /0000-0002-6932-333X/work/148144967

Schlagworte

Schlagwörter

  • Adrenal Gland Neoplasms/diagnosis, Adult, Animals, Cohort Studies, Disease Progression, Female, Genetic Association Studies, Humans, Male, Mass Spectrometry/methods, Metabolome, Metabolomics/methods, Middle Aged, Neoplasm Metastasis, PC12 Cells, Paraganglioma/diagnosis, Pheochromocytoma/diagnosis, Prognosis, Rats, Tissue Array Analysis/methods