Evidence map›Paper›PMID 33804114›Full record

ReviewCancers2021

Shifting the Gears of Metabolic Plasticity to Drive Cell State Transitions in Cancer.

Zhengwei Wu, Yi Fei Lee, Xun Hui Yeo, Ser Yue Loo, Wai Leong Tam

Abstract readReview
In one paragraph

Review in Cancers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
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

10 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Metabolic reprogramming and plasticity of cancer stem cells.Frontiers in cell and developmental biology · 2026
    Review
  6. Article
  7. Article
  8. Review
  9. Article
  10. 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.

Zhengwei WuCancer Science Institute of Singapore, National University of Singapore, 14 Medical Drive, Singapore 117599, Singapore.
Yi Fei LeeGenome Institute of Singapore, 60 Biopolis Street, Singapore 138672, Singapore.
Xun Hui YeoCancer Science Institute of Singapore, National University of Singapore, 14 Medical Drive, Singapore 117599, Singapore.
Ser Yue LooGenome Institute of Singapore, 60 Biopolis Street, Singapore 138672, Singapore.
Wai Leong TamCancer Science Institute of Singapore, National University of Singapore, 14 Medical Drive, Singapore 117599, Singapore.ORCID 0000-0003-2365-5264

Funding

National Medical Research Council, Singapore; National Research Foundation, Singapore OFIRG17may061, OFIRG19nov-0106, OFYIRG18May-0025, NMRC/CIRG/1470/2017, NRF-NRFF2015-04, NRF-CRP22-2019-0003, NRF-CRP23-2019-0004
6 · The paper itself

Abstract

Cancer metabolism is a hallmark of cancer. Metabolic plasticity defines the ability of cancer cells to reprogram a plethora of metabolic pathways to meet unique energetic needs during the various steps of disease progression. Cell state transitions are phenotypic adaptations which confer distinct advantages that help cancer cells overcome progression hurdles, that include tumor initiation, expansive growth, resistance to therapy, metastasis, colonization, and relapse. It is increasingly appreciated that cancer cells need to appropriately reprogram their cellular metabolism in a timely manner to support the changes associated with new phenotypic cell states. We discuss metabolic alterations that may be adopted by cancer cells in relation to the maintenance of cancer stemness, activation of the epithelial-mesenchymal transition program for facilitating metastasis, and the acquisition of drug resistance. While such metabolic plasticity is harnessed by cancer cells for survival, their dependence and addiction towards certain metabolic pathways also present therapeutic opportunities that may be exploited.

Indexed as

cancer stem cellscell state transitioncellular plasticityepithelial–mesenchymal transitionphenotype switchingtherapy resistance

Identifiers

PMID33804114
PMCPMC7999312

What OpenQuestion holds

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LicenceCC BY
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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.