Evidence map›Paper›PMID 27117029›Full record

ReviewFree radical biology & medicine2016

Oncometabolites: Unconventional triggers of oncogenic signalling cascades.

Marco Sciacovelli, Christian Frezza

Open access · hybridAbstract readReview
In one paragraph

Review in Free radical biology & medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 107 papers.

0numbers the graph read from it
0cells of the map it votes in
107citing papers in PubMed
6.7field-weighted citation impact, top 2% 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

107 citing papers in PubMed, 174 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Review
  6. Metabolic Cross Talk in the Tumor Microenvironment.Cancer treatment and research · 2026
    Review
  7. Review
  8. Article
  9. Article
  10. Review
  11. Abnormal changes in metabolites caused by mJournal of advanced research · 2025
    Review
  12. Article
  13. Carcinogenesis trajectories.Frontiers in cell and developmental biology · 2025
    Article
  14. Review
  15. Article
  16. Review
  17. The bioenergetic landscape of cancer.Molecular metabolism · 2024
    Review
  18. Article
  19. Article
  20. Article

47 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

2 authors at 1 institution in 1 country.

Marco SciacovelliMedical Research Council Cancer Unit, University of Cambridge, Hutchison/MRC Research Centre, Box 197, Cambridge Biomedical Campus, Cambridge CB2 0XZ, United Kingdom.
Christian FrezzaMedical Research Council Cancer Unit, University of Cambridge, Hutchison/MRC Research Centre, Box 197, Cambridge Biomedical Campus, Cambridge CB2 0XZ, United Kingdom. Electronic address: cf366@MRC-CU.cam.ac.uk.
Medical Research Council · GB

Funding

Medical Research Council MC_UU_12022/6
6 · The paper itself

Abstract

Cancer is a complex and heterogeneous disease thought to be caused by multiple genetic lesions. The recent finding that enzymes of the tricarboxylic acid (TCA) cycle are mutated in cancer rekindled the hypothesis that altered metabolism might also have a role in cellular transformation. Attempts to link mitochondrial dysfunction to cancer uncovered the unexpected role of small molecule metabolites, now known as oncometabolites, in tumorigenesis. In this review, we describe how oncometabolites can contribute to tumorigenesis. We propose that lesions of oncogenes and tumour suppressors are only one of the possible routes to tumorigenesis, which include accumulation of oncometabolites triggered by environmental cues.

Indexed as

CarcinogenesisCitric Acid CycleSignal TransductionAnimalsHumansNeoplasms2-HydroxyglutarateCancerFHFumarateIDHMitochondriaOncometabolitesSDHSuccinate

Identifiers

PMID27117029
PMCPMC5145802
OpenAlexW2344480386

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.