Evidence map›Paper›PMID 27604692›Full record

ReviewDisease models & mechanisms2016

The interplay between obesity and cancer: a fly view.

Susumu Hirabayashi

Abstract readReview
In one paragraph

Review in Disease models & mechanisms, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Embracing complexity in Drosophila cancer models.Disease models & mechanisms · 2022
    Article
  5. Review
  6. Review
  7. Article
  8. Understanding Obesity as a Risk Factor for Uterine Tumors Using Drosophila.Advances in experimental medicine and biology · 2019
    Review
  9. Frontiers in genetics · 2019
    Review
  10. Modelling Cooperative Tumorigenesis inBioMed research international · 2018
    Review
  11. BioMed research international · 2018
    Review
  12. Anthocyanins Function as Anti-Inflammatory Agents in aBioMed research international · 2018
    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

1 author.

Susumu HirabayashiMetabolism and Cell Growth Group, MRC Clinical Sciences Centre (CSC), Du Cane Road, London W12 0NN, UK Institute of Clinical Sciences (ICS), Faculty of Medicine, Imperial College London, Du Cane Road, London W12 0NN, UK susumu.hirabayashi@csc.mrc.ac.uk.ORCID 0000-0002-5096-4241

Funding

Medical Research Council MC_UP_1102/16
6 · The paper itself

Abstract

Accumulating epidemiological evidence indicates a strong clinical association between obesity and an increased risk of cancer. The global pandemic of obesity indicates a public health trend towards a substantial increase in cancer incidence and mortality. However, the mechanisms that link obesity to cancer remain incompletely understood. The fruit fly Drosophila melanogaster has been increasingly used to model an expanding spectrum of human diseases. Fly models provide a genetically simpler system that is ideal for use as a first step towards dissecting disease interactions. Recently, the combining of fly models of diet-induced obesity with models of cancer has provided a novel model system in which to study the biological mechanisms that underlie the connections between obesity and cancer. In this Review, I summarize recent advances, made using Drosophila, in our understanding of the interplay between diet, obesity, insulin resistance and cancer. I also discuss how the biological mechanisms and therapeutic targets that have been identified in fly studies could be utilized to develop preventative interventions and treatment strategies for obesity-associated cancers.

Indexed as

AnimalsDiet, High-FatDisease Models, AnimalDrosophila melanogasterHumansModels, BiologicalNeoplasmsObesityCancerDrosophilaObesity

Identifiers

PMID27604692
PMCPMC5047690

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.