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Biochimica et Biophysica Acta (BBA) - Bioenergetics
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Biochimica et Biophysica Acta (BBA) - Bioenergetics
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Metabolic synthetic lethality in cancer therapy

Authors: Zecchini, Vincent; Frezza, Christian;

Metabolic synthetic lethality in cancer therapy

Abstract

Our understanding of cancer has recently seen a major paradigm shift resulting in it being viewed as a metabolic disorder, and altered cellular metabolism being recognised as a hallmark of cancer. This concept was spurred by the findings that the oncogenic mutations driving tumorigenesis induce a reprogramming of cancer cell metabolism that is required for unrestrained growth and proliferation. The recent discovery that mutations in key mitochondrial enzymes play a causal role in tumorigenesis suggested that dysregulation of metabolism could also be a driver of tumorigenesis. These mutations induce profound adaptive metabolic alterations that are a prerequisite for the survival of the mutated cells. Because these metabolic events are specific to cancer cells, they offer an opportunity to develop new therapies that specifically target tumour cells without affecting healthy tissue. Here, we will describe recent developments in metabolism-based cancer therapy, in particular focusing on the concept of metabolic synthetic lethality. This article is part of a Special Issue entitled Mitochondria in Cancer, edited by Giuseppe Gasparre, Rodrigue Rossignol and Pierre Sonveaux.

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United Kingdom
Related Organizations
Keywords

Antimetabolites, Antineoplastic, Gene Dosage, Oncogenes, Models, Biological, Oxidative Phosphorylation, Mitochondria, Neoplasm Proteins, Mitochondrial Proteins, Neoplasms, Metabolome, Humans, Computer Simulation, RNA Interference, Gene Silencing, Molecular Targeted Therapy, Energy Metabolism, Synthetic Lethal Mutations, Forecasting, Genes, Neoplasm

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    selected citations
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    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).
    59
    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).
    Top 10%
    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!
59
Top 10%
Top 10%
Top 10%
Green
hybrid