Literature DB >> 33983135

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

Masanori Murakami1, Na Sun2,1, Christian Greunke2, Annette Feuchtinger2, Stefan Kircher3, Timo Deutschbein4,5, Thomas Papathomas6, Nicole Bechmann7,8,9,10, Paal William Wallace7, Mirko Peitzsch7, Esther Korpershoek11, Juliane Friemel12, Anne-Paule Gimenez-Roqueplo13,14, Mercedes Robledo15, Henri J L M Timmers16, Letizia Canu17, Achim Weber12, Ronald R de Krijger18,19, Martin Fassnacht4,20, Thomas Knösel21, Thomas Kirchner21, Martin Reincke1, Axel Karl Walch2, Matthias Kroiss1,4,20, Felix Beuschlein1,22.   

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.

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Year:  2021        PMID: 33983135     DOI: 10.1530/EJE-20-1407

Source DB:  PubMed          Journal:  Eur J Endocrinol        ISSN: 0804-4643            Impact factor:   6.664


  1 in total

1.  Plasma Metabolome Profiling for the Diagnosis of Catecholamine Producing Tumors.

Authors:  Juliane März; Max Kurlbaum; Oisin Roche-Lancaster; Timo Deutschbein; Mirko Peitzsch; Cornelia Prehn; Dirk Weismann; Mercedes Robledo; Jerzy Adamski; Martin Fassnacht; Meik Kunz; Matthias Kroiss
Journal:  Front Endocrinol (Lausanne)       Date:  2021-09-07       Impact factor: 5.555

  1 in total

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