Evidence map›Paper›PMID 29326883›Full record

ReviewFrontiers in oncology2017

Metabolic Plasiticy in Cancers-Distinct Role of Glycolytic Enzymes GPI, LDHs or Membrane Transporters MCTs.

Maša Ždralević, Ibtissam Marchiq, Monique M Cunha de Padua, Scott K Parks, Jacques Pouysségur

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in oncology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
1.7field-weighted citation impact, top 17% 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

29 citing papers in PubMed, 47 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Metabolic Strategies for Inhibiting Cancer Development.Advances in nutrition (Bethesda, Md.) · 2021
    Review
  13. Metabolic Profile in Neonatal Pig Hearts.Frontiers in cardiovascular medicine · 2021
    Article
  14. Review
  15. Article
  16. Review
  17. Energy metabolism in cancer stem cells.World journal of stem cells · 2020
    Review
  18. Review
  19. eLife · 2020
    Article
  20. Lactate-Protected Hypoglycemia (LPH).Frontiers in neuroscience · 2020
    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

5 authors at 3 institutions in 2 countries.

Maša ŽdralevićInstitute for Research on Cancer and Aging (IRCAN), CNRS, INSERM, Centre A. Lacassagne, University Côte d'Azur, Nice, France.
Ibtissam MarchiqInstitute for Research on Cancer and Aging (IRCAN), CNRS, INSERM, Centre A. Lacassagne, University Côte d'Azur, Nice, France.
Monique M Cunha de PaduaInstitute for Research on Cancer and Aging (IRCAN), CNRS, INSERM, Centre A. Lacassagne, University Côte d'Azur, Nice, France.
Scott K ParksMedical Biology Department, Centre Scientifique de Monaco (CSM), Monaco, Monaco.
Jacques PouysségurInstitute for Research on Cancer and Aging (IRCAN), CNRS, INSERM, Centre A. Lacassagne, University Côte d'Azur, Nice, France.
Inserm · FRInstitut de Recherche sur le Cancer et le Vieillissement de Nice · FRScientific Centre of Monaco · MC

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Research on cancer metabolism has recently re-surfaced as a major focal point in cancer field with a reprogrammed metabolism no longer being considered as a mere consequence of oncogenic transformation, but as a hallmark of cancer. Reprogramming metabolic pathways and nutrient sensing is an elaborate way by which cancer cells respond to high bioenergetic and anabolic demands during tumorigenesis. Thus, inhibiting specific metabolic pathways at defined steps should provide potent ways of arresting tumor growth. However, both animal models and clinical observations have revealed that this approach is seriously limited by an extraordinary cellular metabolic plasticity. The classical example of cancer metabolic reprogramming is the preference for aerobic glycolysis, or Warburg effect, where cancers increase their glycolytic flux and produce lactate regardless of the presence of the oxygen. This allows cancer cells to meet the metabolic requirements for high rates of proliferation. Here, we discuss the benefits and limitations of disrupting fermentative glycolysis for impeding tumor growth at three levels of the pathway: (i) an upstream block at the level of the glucose-6-phosphate isomerase (GPI), (ii) a downstream block at the level of lactate dehydrogenases (LDH, isoforms A and B), and (iii) the endpoint block preventing lactic acid export (MCT1/4). Using these examples of genetic disruption targeting glycolysis studied in our lab, we will discuss the responses of different cancer cell lines in terms of metabolic rewiring, growth arrest, and tumor escape and compare it with the broader literature.

Indexed as

cancerCRISPR-Cas9glycolysisimmune responselactic acidmetabolismoxidative phosphorylationpentose phosphate pathway

Identifiers

PMID29326883
PMCPMC5742324
OpenAlexW2777685881

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.