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PubMed Central
Other literature type . 2025
Data sources: PubMed Central
Cold Spring Harbor Perspectives in Medicine
Article . 2024 . Peer-reviewed
Data sources: Crossref
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Understanding the Warburg Effect in Cancer

Authors: Zhaoqi Li; Muhammad Bin Munim; Daniel A. Sharygin; Brooke J. Bevis; Matthew G. Vander Heiden;

Understanding the Warburg Effect in Cancer

Abstract

Rapidly proliferating cells, including cancer cells, adapt metabolism to meet the increased energetic and biosynthetic demands of cell growth and division. Many rapidly proliferating cells exhibit increased glucose consumption and fermentation regardless of oxygen availability, a phenotype termed aerobic glycolysis or the Warburg effect in cancer. Several explanations for why cells engage in aerobic glycolysis and how it supports proliferation have been proposed, but none can fully explain all conditions and data where aerobic glycolysis is observed. Nevertheless, there is convincing evidence that the Warburg effect is important for the proliferation of many cancers, and that inhibiting either glucose uptake or fermentation can impair tumor growth. Here, we discuss what is known about metabolism associated with aerobic glycolysis and the evidence supporting various explanations for why aerobic glycolysis may be important in cancer and other contexts.

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  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    16
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
16
Top 10%
Average
Top 10%
Related to Research communities
Cancer Research