Evidence map›Paper›PMID 30837197›Full record

ReviewMolecular metabolism2019

Micromanaging aerobic respiration and glycolysis in cancer cells.

Ayla V Orang, Janni Petersen, Ross A McKinnon, Michael Z Michael

Open access · goldAbstract readReview
In one paragraph

Review in Molecular metabolism, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 66 papers.

0numbers the graph read from it
0cells of the map it votes in
66citing papers in PubMed
4.7field-weighted citation impact, top 3% 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

66 citing papers in PubMed, 121 citations in OpenAlex.

  1. Article
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  15. Effective paclitaxel:Toxicology research · 2024
    Article
  16. Review
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  20. Article

6 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

4 authors at 1 institution in 1 country.

Ayla V OrangFlinders Centre for Innovation in Cancer, Flinders University, Flinders Medical Centre, Adelaide, South Australia 5042, Australia. Electronic address: ayla.orang@flinders.edu.au.
Janni PetersenFlinders Centre for Innovation in Cancer, Flinders University, Flinders Medical Centre, Adelaide, South Australia 5042, Australia. Electronic address: janni.petersen@flinders.edu.au.
Ross A McKinnonFlinders Centre for Innovation in Cancer, Flinders University, Flinders Medical Centre, Adelaide, South Australia 5042, Australia. Electronic address: ross.mckinnon@flinders.edu.au.
Michael Z MichaelFlinders Centre for Innovation in Cancer, Flinders University, Flinders Medical Centre, Adelaide, South Australia 5042, Australia. Electronic address: michael.michael@flinders.edu.au.
Flinders University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCancer cells possess a common metabolic phenotype, rewiring their metabolic pathways from mitochondrial oxidative phosphorylation to aerobic glycolysis and anabolic circuits, to support the energetic and biosynthetic requirements of continuous proliferation and migration. While, over the past decade, molecular and cellular studies have clearly highlighted the association of oncogenes and tumor suppressors with cancer-associated glycolysis, more recent attention has focused on the role of microRNAs (miRNAs) in mediating this metabolic shift. Accumulating studies have connected aberrant expression of miRNAs with direct and indirect regulation of aerobic glycolysis and associated pathways. SCOPE OF REVIEW: This review discusses the underlying mechanisms of metabolic reprogramming in cancer cells and provides arguments that the earlier paradigm of cancer glycolysis needs to be updated to a broader concept, which involves interconnecting biological pathways that include miRNA-mediated regulation of metabolism. For these reasons and in light of recent knowledge, we illustrate the relationships between metabolic pathways in cancer cells. We further summarize our current understanding of the interplay between miRNAs and these metabolic pathways. This review aims to highlight important metabolism-associated molecular components in the hunt for selective preventive and therapeutic treatments. MAJOR

conclusionsMetabolism in cancer cells is influenced by driver mutations but is also regulated by posttranscriptional gene silencing. Understanding the nuanced regulation of gene expression in these cells and distinguishing rapid cellular responses from chronic adaptive mechanisms provides a basis for rational drug design and novel therapeutic strategies.

Indexed as

Cell RespirationGlycolysisAnimalsEnergy MetabolismGene Expression Regulation, NeoplasticHumansMicroRNAsMitochondriaNeoplasmsOncogenesOxidative PhosphorylationReactive Oxygen SpeciesRNA InterferenceMicroRNAsReactive Oxygen SpeciesAerobic glycolysisCancerMetabolismmicroRNAWarburg effect

Identifiers

PMID30837197
PMCPMC6479761
OpenAlexW2914425862

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.