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Metabolomic profile of neuroendocrine tumors identifies methionine, porphyrin, and tryptophan metabolisms as key dysregulated pathways associated with patient survival

Authors :
Pfizer
Agencia Estatal de Investigación (España)
Ministerio de Ciencia, Innovación y Universidades (España)
Comunidad de Madrid
Instituto de Salud Carlos III
European Commission
Asociación Española Contra el Cáncer
Benavent, Marta [0000-0003-1268-4588]
Soldevilla, Beatriz [0000-0002-1118-1316]
Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
La-Salvia, Anna
Lens-Pardo, Alberto
López-López, Ángel
Carretero-Puche, Carlos
Capdevila, Jaume
Benavent, Marta
Jiménez-Fonseca, Paula
Castellano, Daniel
Alonso, Teresa
Teule, Alexandre
Custodio, Ana
Tafuto, Salvatore
La Casta, Adelaida
Spada, Francesca
López-Gonzalvez, Ángeles
Gil-Calderón, Beatriz
Espinosa-Olarte, Paula
Barbas, Coral
García-Carbonero, Rocío
Soldevilla, Beatriz
Pfizer
Agencia Estatal de Investigación (España)
Ministerio de Ciencia, Innovación y Universidades (España)
Comunidad de Madrid
Instituto de Salud Carlos III
European Commission
Asociación Española Contra el Cáncer
Benavent, Marta [0000-0003-1268-4588]
Soldevilla, Beatriz [0000-0002-1118-1316]
Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
La-Salvia, Anna
Lens-Pardo, Alberto
López-López, Ángel
Carretero-Puche, Carlos
Capdevila, Jaume
Benavent, Marta
Jiménez-Fonseca, Paula
Castellano, Daniel
Alonso, Teresa
Teule, Alexandre
Custodio, Ana
Tafuto, Salvatore
La Casta, Adelaida
Spada, Francesca
López-Gonzalvez, Ángeles
Gil-Calderón, Beatriz
Espinosa-Olarte, Paula
Barbas, Coral
García-Carbonero, Rocío
Soldevilla, Beatriz
Publication Year :
2024

Abstract

[Objective] Metabolic profiling is a valuable tool to characterize tumor biology but remains largely unexplored in neuroendocrine tumors (NETs). Our aim was to comprehensively assess the metabolomic profile of NETs and identify novel prognostic biomarkers and dysregulated molecular pathways.<br />[Design and Methods] Multiplatform untargeted metabolomic profiling (GC-MS, CE-MS, and LC-MS) was performed in plasma from 77 patients with G1-2 extra-pancreatic NETs enrolled in the AXINET trial (NCT01744249) (study cohort) and from 68 non-cancer individuals (control). The prognostic value of each differential metabolite (n = 155) in NET patients (P < .05) was analyzed by univariate and multivariate analyses adjusted for multiple testing and other confounding factors. Related pathways were explored by Metabolite Set Enrichment Analysis (MSEA) and Metabolite Pathway Analysis (MPA).<br />[Results] Thirty-four metabolites were significantly associated with progression-free survival (PFS) (n = 16) and/or overall survival (OS) (n = 27). Thirteen metabolites remained significant independent prognostic factors in multivariate analysis, 3 of them with a significant impact on both PFS and OS. Unsupervised clustering of these 3 metabolites stratified patients in 3 distinct prognostic groups (1-year PFS of 71.1%, 47.7%, and 15.4% (P = .012); 5-year OS of 69.7%, 32.5%, and 27.7% (P = .003), respectively). The MSEA and MPA of the 13-metablolite signature identified methionine, porphyrin, and tryptophan metabolisms as the 3 most relevant dysregulated pathways associated with the prognosis of NETs.<br />[Conclusions] We identified a metabolomic signature that improves prognostic stratification of NET patients beyond classical prognostic factors for clinical decisions. The enriched metabolic pathways identified reveal novel tumor vulnerabilities that may foster the development of new therapeutic strategies for these patients.

Details

Database :
OAIster
Notes :
English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1442728560
Document Type :
Electronic Resource