Evidence map›Paper›PMID 33139243›Full record

ReviewCancer discovery2020

Targeting Metabolic Plasticity and Flexibility Dynamics for Cancer Therapy.

Sarah-Maria Fendt, Christian Frezza, Ayelet Erez

Open access · greenAbstract readReview
In one paragraph

Review in Cancer discovery, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 194 papers.

0numbers the graph read from it
0cells of the map it votes in
194citing papers in PubMed
10.5field-weighted citation impact, top 1% 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

194 citing papers in PubMed, 283 citations in OpenAlex.

  1. Article
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  4. Hyperpolarized [2-NMR in biomedicine · 2026
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  19. Targeting Lactate and Lactylation in Cancer Metabolism and Immunotherapy.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  20. Article

134 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

3 authors at 3 institutions in 3 countries.

Sarah-Maria FendtLaboratory of Cellular Metabolism and Metabolic Regulation, VIB-KU Leuven Center for Cancer Biology, VIB, Leuven, Belgium.ORCID https://orcid.org/0000-0001-6018-9296
Christian FrezzaMedical Research Council Cancer Unit, University of Cambridge, Cambridge Biomedical Campus, Cambridge, United Kingdom.ORCID https://orcid.org/0000-0002-3293-7397
Ayelet ErezDepartment of Biological Regulation, Weizmann Institute of Science, Rehovot, Israel. ayelet.erez@weizmann.ac.il.
Cancer Research UK Cambridge Center · GBVIB-KU Leuven Center for Cancer Biology · BEWeizmann Institute of Science · IL

Funding

Metabolite channeling in the urea cycle and production of nitric oxideK08DK081735 · NIDDK · BAYLOR COLLEGE OF MEDICINE · PI EREZ, AYELET · 2009 to 2012
$449k
Medical Research Council MC_UU_12022/6NIDDK NIH HHS K08 DK081735
6 · The paper itself

Abstract

Cancer cells continuously rewire their metabolism to fulfill their need for rapid growth and survival while subject to changes in environmental cues. Thus, a vital component of a cancer cell lies in its metabolic adaptability. The constant demand for metabolic alterations requires flexibility, that is, the ability to utilize different metabolic substrates; as well as plasticity, that is, the ability to process metabolic substrates in different ways. In this review, we discuss how dynamic changes in cancer metabolism affect tumor progression and the consequential implications for cancer therapy. SIGNIFICANCE: Recognizing cancer dynamic metabolic adaptability as an entity can lead to targeted therapy that is expected to decrease drug resistance.

Indexed as

HumansNeoplasmsTumor Microenvironment

Identifiers

PMID33139243
PMCPMC7710573
OpenAlexW3095331736

What OpenQuestion holds

Textmetadata
LicenceTDM
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.