Evidence map›Paper›PMID 27706102›Full record

ArticleMetabolites2016

The Redox Status of Cancer Cells Supports Mechanisms behind the Warburg Effect.

Jorgelindo da Veiga Moreira, Minoo Hamraz, Mohammad Abolhassani, Erwan Bigan, Sabine Pérès, Loïc Paulevé, Marcel Levy Nogueira, Jean-Marc Steyaert, Laurent Schwartz

Open access · goldAbstract read
In one paragraph

Article in Metabolites, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 76 papers.

0numbers the graph read from it
0cells of the map it votes in
76citing papers in PubMed
3.5field-weighted citation impact, top 7% 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

76 citing papers in PubMed, 129 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Membrane Stress and Ferroptosis: Lipid Dynamics in Cancer.International journal of molecular sciences · 2026
    Review
  5. Article
  6. Article
  7. Review
  8. Review
  9. Article
  10. Article
  11. Article
  12. Review
  13. Review
  14. Review
  15. CYP3A5 promotes glioblastoma stemness and chemoresistance through fine-tuning NADJournal of experimental & clinical cancer research : CR · 2025
    Article
  16. Exploring the oncogenic impact of heteroplasmicMitochondrial communications · 2025
    Article
  17. Article
  18. Article
  19. Article
  20. Review

16 more citing papers are in PubMed but not listed here.

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

9 authors at 7 institutions in 2 countries.

Jorgelindo da Veiga MoreiraLaboratoire d'Informatique du l'X-Unité Mixte de Recherche 7161, Ecole Polytechnique, Palaiseau 91128, France. daveiga@lix.polytechnique.fr.
Minoo HamrazImen Pharmed Iranian Company (IPI), Tehran 1514633711, Iran. mhamraz@ipiranian.com.
Mohammad AbolhassaniNosco Pharmaceuticals, Paris 75015, France. mabolhas@noscopharm.fr.
Erwan BiganLaboratoire d'Informatique du l'X-Unité Mixte de Recherche 7161, Ecole Polytechnique, Palaiseau 91128, France. bigan.erwan@orange.fr.
Sabine PérèsLaboratoire de Recherche en Informatique (LRI), Université Paris-Sud, Centre National de la Recherche Scientifique Unité Mixte de Recherche 8623, Orsay 91190, France. sabine.peres@lri.fr.
Loïc PaulevéLaboratoire de Recherche en Informatique (LRI), Université Paris-Sud, Centre National de la Recherche Scientifique Unité Mixte de Recherche 8623, Orsay 91190, France. loic.pauleve@lri.fr.
Marcel Levy NogueiraLaboratoire d'Informatique du l'X-Unité Mixte de Recherche 7161, Ecole Polytechnique, Palaiseau 91128, France. marcel.levy@psl.aphp.fr.
Jean-Marc SteyaertLaboratoire d'Informatique du l'X-Unité Mixte de Recherche 7161, Ecole Polytechnique, Palaiseau 91128, France. jean-marc.steyaert@polytechnique.edu.
Laurent SchwartzLaboratoire d'Informatique du l'X-Unité Mixte de Recherche 7161, Ecole Polytechnique, Palaiseau 91128, France. laurent.schwartz@polytechnique.edu.
École Polytechnique · FRLaboratoire d'Informatique de l'École Polytechnique · FRInstitut du Cerveau · FRIran Khodro (Iran) · IRLaboratoire de Recherche en Informatique · FRMathématiques et Informatique Appliquées du Génome à l'Environnement · FRTeva Pharmaceuticals (France) · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To better understand the energetic status of proliferating cells, we have measured the intracellular pH (pHi) and concentrations of key metabolites, such as adenosine triphosphate (ATP), nicotinamide adenine dinucleotide (NAD), and nicotinamide adenine dinucleotide phosphate (NADP) in normal and cancer cells, extracted from fresh human colon tissues. Cells were sorted by elutriation and segregated in different phases of the cell cycle (G0/G1/S/G2/M) in order to study their redox (NAD, NADP) and bioenergetic (ATP, pHi) status. Our results show that the average ATP concentration over the cell cycle is higher and the pHi is globally more acidic in normal proliferating cells. The NAD+/NADH and NADP+/NADPH redox ratios are, respectively, five times and ten times higher in cancer cells compared to the normal cell population. These energetic differences in normal and cancer cells may explain the well-described mechanisms behind the Warburg effect. Oscillations in ATP concentration, pHi, NAD+/NADH, and NADP+/NADPH ratios over one cell cycle are reported and the hypothesis addressed. We also investigated the mitochondrial membrane potential (MMP) of human and mice normal and cancer cell lines. A drastic decrease of the MMP is reported in cancer cell lines compared to their normal counterparts. Altogether, these results strongly support the high throughput aerobic glycolysis, or Warburg effect, observed in cancer cells.

Indexed as

cancer diseasecentral carbon metabolismmitochondriaredox oscillatorsWarburg effect

Identifiers

PMID27706102
PMCPMC5192439
OpenAlexW2528720408

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.