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Mass spectrometry imaging identifies metabolic patterns associated with malignant potential in pheochromocytoma and paraganglioma.
Eur. J. Endocrinol. 185, 179-191 (2021)
OBJECTIVE: Within the past decade, important genetic drivers of pheochromocytoma and paraganglioma (PPGLs) development have been identified. The pathophysiological mechanism that translate these alterations into functional autonomy and potentially malignant behavior have 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 = 5.06E-11) 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). Knock-down 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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Publication type
Article: Journal article
Document type
Scientific Article
Keywords
Germline Mutations; Kynurenic Acid; Expression; Predisposition; Confer
Language
english
Publication Year
2021
HGF-reported in Year
2021
ISSN (print) / ISBN
0804-4643
e-ISSN
1479-683X
Quellenangaben
Volume: 185,
Issue: 1,
Pages: 179-191
Publisher
BioScientifica
Publishing Place
Starling House, 1600 Bristol Parkway N, Bristol, England
Reviewing status
Peer reviewed
Institute(s)
Research Unit Analytical Pathology (AAP)
CF Pathology & Tissue Analytics (CF-PTA)
CF Pathology & Tissue Analytics (CF-PTA)
POF-Topic(s)
30205 - Bioengineering and Digital Health
30505 - New Technologies for Biomedical Discoveries
30505 - New Technologies for Biomedical Discoveries
Research field(s)
Enabling and Novel Technologies
PSP Element(s)
G-500390-001
A-630600-001
A-630600-001
Grants
Uehara Memorial Foundation
German Cancer Aid
Clinical Research Priority Program of the University of Zurich
Instituto de Salud Carlos III (ISCIII)
Accion Estrategica en Salud
Paradifference Foundation
Japan Heart Foundation/Bayer Yakuhin Research Grant Abroad
German Research Foundation (DFG)
German Cancer Aid
Clinical Research Priority Program of the University of Zurich
Instituto de Salud Carlos III (ISCIII)
Accion Estrategica en Salud
Paradifference Foundation
Japan Heart Foundation/Bayer Yakuhin Research Grant Abroad
German Research Foundation (DFG)
WOS ID
WOS:000705661400009
Scopus ID
85107902867
PubMed ID
33983135
Erfassungsdatum
2021-06-25