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

Author:

La Salvia Anna123,Lens-Pardo Alberto14,López-López Angel5,Carretero-Puche Carlos14,Capdevila Jaume6,Benavent Marta7,Jiménez-Fonseca Paula8,Castellano Daniel2,Alonso Teresa9,Teule Alexandre10,Custodio Ana11,Tafuto Salvatore12,La Casta Adelaida13,Spada Francesca14,Lopez-Gonzalvez Angeles5,Gil-Calderon Beatriz14,Espinosa-Olarte Paula12,Barbas Coral5ORCID,Garcia-Carbonero Rocio12415,Soldevilla Beatriz1416ORCID

Affiliation:

1. Center of Experimental Oncology, Gastrointestinal and Neuroendrocrine Tumors Research Group, Research Institute Hospital 12 de Octubre (imas12) , 28041 Madrid , Spain

2. Oncology Department, Hospital Universitario 12 de Octubre , 28041 Madrid , Spain

3. National Center for Drug Research and Evaluation, National Institute of Health (ISS) , 00161 Rome , Italy

4. Spanish National Cancer Research Center (CNIO) , 28029 Madrid , Spain

5. Department of Chemistry and Biochemistry, Facultad de Farmacia, Centre for Metabolomics and Bioanalysis (CEMBIO), Universidad San Pablo-CEU, CEU Universities , Urbanización Montepríncipe, Boadilla del Monte , 28925 Madrid, Spain

6. Vall Hebron University Hospital and Vall Hebron Institute of Oncology (VHIO) , 08035 Barcelona , Spain

7. Medical Oncology Department, Hospital Virgen del Rocío, Instituto de Biomedicina de Sevilla (IBIS) , 41013 Seville , Spain

8. Medical Oncology Department, Hospital Universitario Central de Asturias, ISPA , 33011 Oviedo , Spain

9. Medical Oncology, Hospital Universitario Ramón y Cajal , 28034 Madrid , Spain

10. Institut Català d'Oncologia (ICO)-Institut d'Investigació Biomèdica de Bellvitge (IDIBELL), 08908 L'Hospitalet del Llobregat , Barcelona , Spain

11. Department of Medical Oncology, Hospital Universitario La Paz, CIBERONC CB16/12/00398 , 28046 Madrid , Spain

12. Sarcomas and Rare Tumours Unit, Istituto Nazionale Tumori, IRCCS Fondazione G. Pascale , 80131 Naples , Italy

13. Department of Medical Oncology, Biodonostia Health Research Institute, Donostia University Hospital, University of the Basque Country (UPV/EHU) , 20014 San Sebastián , Spain

14. Division of Gastrointestinal Medical Oncology and Neuroendocrine Tumors, IEO, European Institute of Oncology, IRCCS , 20141 Milan , Italy

15. Medicine Department, Complutense University of Madrid (UCM) , 28040 Madrid , Spain

16. Genetics, Physiology and Microbiology Department, Complutense University of Madrid (UCM) , 28040 Madrid , Spain

Abstract

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. 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). 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. 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.

Funder

Pfizer

Spanish National Taskforce on Neuroendocrine Tumors

Ministry of Science, Innovation and Universities of Spain

FEDER

Autonomous Community of Madrid

Instituto de Salud Carlos III

CAM

Progama de Empleo Juvenil

European Union

AECC

Publisher

Oxford University Press (OUP)

Subject

Endocrinology,General Medicine,Endocrinology, Diabetes and Metabolism

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