Evidence map›Paper›PMID 25278767›Full record

ReviewLipid insights2013

Diet, obesity, and cancer progression: are adipocytes the link?

Paul Toren, Benjamin C Mora, Vasundara Venkateswaran

Open access · hybridAbstract readReview
In one paragraph

Review in Lipid insights, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.7field-weighted citation impact, top 28% 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

11 citing papers in PubMed, 20 citations in OpenAlex.

  1. Review
  2. Review
  3. Frontiers in microbiology · 2022
    Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Review
  9. Article
  10. Dietary restriction: could it be considered as speed bump on tumor progression road?Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2016
    Review
  11. 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 at 3 institutions in 1 country.

Paul TorenVancouver Prostate Centre, University of British Columbia, Vancouver, British Columbia, Canada.
Benjamin C MoraSunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada.
Vasundara VenkateswaranSunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada.
Health Sciences Centre · CAUniversity of British Columbia · CAUniversity of Toronto · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Obesity has been linked to more aggressive characteristics of several cancers, including breast and prostate cancer. Adipose tissue appears to contribute to paracrine interactions in the tumor microenvironment. In particular, cancer-associated adipocytes interact reciprocally with cancer cells and influence cancer progression. Adipokines secreted from adipocytes likely form a key component of the paracrine signaling in the tumor microenvironment. In vitro coculture models allow for the assessment of specific adipokines in this interaction. Furthermore, micronutrients and macronutrients present in the diet may alter the secretion of adipokines from adipocytes. The effect of dietary fat and specific fatty acids on cancer progression in several in vivo model systems and cancer types is reviewed. The more common approaches of caloric restriction or diet-induced obesity in animal models establish that such dietary changes modulate tumor biology. This review seeks to explore available evidence regarding how diet may modulate tumor characteristics through changes in the role of adipocytes in the tumor microenvironment.

Indexed as

adipocytesadipokineshigh-fat diettumour microenvironment

Identifiers

PMID25278767
PMCPMC4147777
OpenAlexW1979762673

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.