Evidence map›Paper›PMID 33874857›Full record

ReviewCell cycle (Georgetown, Tex.)2021

The emerging relationship between metabolism and DNA repair.

Danilo Cucchi, Amy Gibson, Sarah A Martin

Abstract readReview
In one paragraph

Review in Cell cycle (Georgetown, Tex.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

  1. Review
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  18. Interplay between altered metabolism and DNA damage and repair in ovarian cancer.BioEssays : news and reviews in molecular, cellular and developmental biology · 2024
    Review
  19. Review
  20. DNA Damage, Repair, and Cancer Metabolism.International journal of molecular sciences · 2023
    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

3 authors.

Danilo CucchiCentre for Cancer Cell and Molecular Biology, Barts Cancer Institute, Queen Mary University of London, London, UK.
Amy GibsonCentre for Cancer Cell and Molecular Biology, Barts Cancer Institute, Queen Mary University of London, London, UK.
Sarah A MartinCentre for Cancer Cell and Molecular Biology, Barts Cancer Institute, Queen Mary University of London, London, UK.ORCID 0000-0003-3321-6601

Funding

Cancer Research UK C16420/A18066Medical Research Council MR/K001620/1
6 · The paper itself

Abstract

The DNA damage response (DDR) consists of multiple specialized pathways that recognize different insults sustained by DNA and repairs them where possible to avoid the accumulation of mutations. While loss of activity of genes in the DDR has been extensively associated with cancer predisposition and progression, in recent years it has become evident that there is a relationship between the DDR and cellular metabolism. The activity of the metabolic pathways can influence the DDR by regulating the availability of substrates required for the repair process and the function of its players. Additionally, proteins of the DDR can regulate the metabolic flux through the major pathways such as glycolysis, tricarboxylic acid cycle (TCA) and pentose phosphate pathway (PPP) and the production of reactive oxygen species (ROS). This newly discovered connection bears great importance in the biology of cancer and represents a new therapeutic opportunity. Here we describe the nature of the relationship between DDR and metabolism and its potential application in the treatment of cancer. Keywords: DNA repair, metabolism, mitochondria.

Indexed as

DNA RepairMetabolismClinical Trials as TopicHomologous RecombinationHumansMitochondriaModels, BiologicalDNA repairmetabolismmitochondria

Identifiers

PMID33874857
PMCPMC8172156

What OpenQuestion holds

Textmetadata
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.