Evidence map›Paper›PMID 23208510›Full record

ReviewOncogene2013

The PGC-1/ERR signaling axis in cancer.

G Deblois, J St-Pierre, V Giguère

Abstract readReview
PubMed Publisher
In one paragraph

Review in Oncogene, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 116 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
116citing papers in PubMed, 2 pooled it
–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

116 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  16. Tracing the Diverse Paths of One-Carbon Metabolism in Cancer and Beyond.Cold Spring Harbor perspectives in medicine · 2024
    Review
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  18. Review
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56 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.

G DebloisDepartment of Biochemistry and Goodman Cancer Research Centre, McGill University, Montreal, Quebec, Canada.
J St-Pierre
V Giguère

Funding

Canadian Institutes of Health Research MOP-106603
6 · The paper itself

Abstract

Proliferating cells need to produce a large amount of energy and, at the same time, need to maintain a constant supply of biosynthetic precursors of macromolecules that are used as building blocks for generating new cells. Indeed, many cancer cells undergo a switch from mitochondrial to glycolytic metabolism and display a truncated tricarboxylic acid cycle to match these specific metabolic requirements of proliferation. Understanding the mechanisms by which cancer cells reprogram various metabolic pathways to satisfy their unique bioenergetic requirements has become an active field of research. Concomitantly, it has emerged that members of a family of orphan nuclear receptors known as the estrogen-related receptors (ERRs), working in concert with members of the PPARγ coactivator (PGC)-1 family, act as central transcriptional regulators of metabolic gene networks involved in maintaining energy homeostasis in normal cells. Recent studies have suggested that the PGC-1/ERR transcriptional axis is also important in the metabolic reprogramming of cancer cells. This review focuses on the functional integration of the PGC-1/ERR axis with known oncogenes and the observation that modulation of the activity of this axis can have both pro- and anti-proliferative properties.

Indexed as

ERRalpha Estrogen-Related ReceptorHeat-Shock ProteinsHumansNeoplasmsPeroxisome Proliferator-Activated Receptor Gamma Coactivator 1-alphaReceptors, EstrogenTranscription FactorsERRalpha Estrogen-Related ReceptorHeat-Shock ProteinsPeroxisome Proliferator-Activated Receptor Gamma Coactivator 1-alphaPPARGC1A protein, humanReceptors, EstrogenTranscription Factors

Identifiers

PMID23208510

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.