Evidence map›Paper›PMID 37908747›Full record

SynthesisFrontiers in endocrinology2023

Metabolism of pancreatic neuroendocrine tumors: what can omics tell us?

Arnaud Jannin, Anne-Frédérique Dessein, Christine Do Cao, Marie-Christine Vantyghem, Benjamin Chevalier, Isabelle Van Seuningen, Nicolas Jonckheere, Lucie Coppin

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in Frontiers in endocrinology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.9field-weighted citation impact, top 13% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Metabolic changes in neuroendocrine neoplasms.Cellular and molecular life sciences : CMLS · 2025
    Review
  6. Article
  7. Review
  8. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 4 institutions in 1 country.

Arnaud JanninUniv. Lille, CNRS, Inserm, CHU Lille, UMR9020-U1277 - CANTHER - Cancer - Heterogeneity Plasticity and Resistance to Therapies, Lille, France.
Anne-Frédérique DesseinUniv. Lille, CNRS, Inserm, CHU Lille, UMR9020-U1277 - CANTHER - Cancer - Heterogeneity Plasticity and Resistance to Therapies, Lille, France.
Christine Do CaoCHU Lille, Department of Endocrinology, Diabetology, and Metabolism, Lille, France.
Marie-Christine VantyghemCHU Lille, Department of Endocrinology, Diabetology, and Metabolism, Lille, France.
Benjamin ChevalierCHU Lille, Department of Nuclear Medicine, Lille, France.
Isabelle Van SeuningenUniv. Lille, CNRS, Inserm, CHU Lille, UMR9020-U1277 - CANTHER - Cancer - Heterogeneity Plasticity and Resistance to Therapies, Lille, France.
Nicolas JonckheereUniv. Lille, CNRS, Inserm, CHU Lille, UMR9020-U1277 - CANTHER - Cancer - Heterogeneity Plasticity and Resistance to Therapies, Lille, France.
Lucie CoppinUniv. Lille, CNRS, Inserm, CHU Lille, UMR9020-U1277 - CANTHER - Cancer - Heterogeneity Plasticity and Resistance to Therapies, Lille, France.
Centre Hospitalier Universitaire de Lille · FRCentre National de la Recherche Scientifique · FRCANTHER - Hétérogénéité, Plasticité et Résistance aux Thérapies des CancersInserm · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Reprogramming of cellular metabolism is now a hallmark of tumorigenesis. In recent years, research on pancreatic neuroendocrine tumors (pNETs) has focused on genetic and epigenetic modifications and related signaling pathways, but few studies have been devoted to characterizing the metabolic profile of these tumors. In this review, we thoroughly investigate the metabolic pathways in pNETs by analyzing the transcriptomic and metabolomic data available in the literature. Methodology: We retrieved and downloaded gene expression profiles from all publicly available gene set enrichments (GSE43797, GSE73338, and GSE117851) to compare the differences in expressed genes based on both the stage and MEN1 mutational status. In addition, we conducted a systematic review of metabolomic data in NETs. Results: By combining transcriptomic and metabolomic approaches, we have identified a distinctive metabolism in pNETs compared with controls without pNETs. Our analysis showed dysregulations in the one-carbon, glutathione, and polyamine metabolisms, fatty acid biosynthesis, and branched-chain amino acid catabolism, which supply the tricarboxylic acid cycle. These targets are implicated in pNET cell proliferation and metastasis and could also have a prognostic impact. When analyzing the profiles of patients with or without metastasis, or with or without MEN1 mutation, we observed only a few differences due to the scarcity of published clinical data in the existing research. Consequently, further studies are now necessary to validate our data and investigate these potential targets as biomarkers or therapeutic solutions, with a specific focus on pNETs.

Indexed as

Neuroectodermal Tumors, PrimitiveNeuroendocrine TumorsPancreatic NeoplasmsEpigenesis, GeneticHumansPrognosisintegrative biologyMEN1metabolismmetabolomicmetastasispancreatic neuroendocrine tumorstranscriptomic

Identifiers

PMID37908747
PMCPMC10613989
OpenAlexW4387671541

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.