Evidence map›Paper›PMID 21221874›Full record

ReviewPathology oncology research : POR2011

Roles of hormones and signaling molecules in describing the relationship between obesity and colon cancer.

Angelos K Sikalidis, Behzad Varamini

Abstract readReview
PubMed Publisher
In one paragraph

Review in Pathology oncology research : POR, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.7field-weighted citation impact, top 15% 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

16 citing papers in PubMed, 27 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. A Review on Dietary Intervention in Obesity Associated Colon CancerAsian Pacific journal of cancer prevention : APJCP · 2019
    Review
  5. Adipose tissue inflammation andClinical epigenetics · 2018
    Article
  6. Article
  7. Protective Role of Dietary Berries in Cancer.Antioxidants (Basel, Switzerland) · 2016
    Review
  8. Review
  9. Review
  10. Review
  11. Review
  12. Review
  13. Article
  14. Article
  15. Article
  16. Obesity and colorectal cancer.Clinics in colon and rectal surgery · 2011
    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

2 authors at 2 institutions in 1 country.

Angelos K SikalidisDivision of Nutritional Sciences, Cornell University, 214 Savage Hall, Ithaca, NY 14853, USA. as545@cornell.edu
Behzad Varamini
Cornell University · USUniversity of Pennsylvania · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Colon cancer represents a highly prevalent disease in the Western world. While dietary and lifestyle recommendations remain important factors in disease prevention and treatment, epidemiological data have made it clear that obesity and excess body weight remain significant risk factors for the disease. A number of potential direct and indirect relationships exist between obesity and increased risk of colon cancer. Several mechanisms which appear promising and warrant further investigation are discussed here, specifically the modifying role of insulin and insulin-like growth factors, leptin, adipose-tissue induced changes in estrogens and androgens, and inflammatory molecules. A brief review of these hormones and signaling molecules and their action in colon cancer development is described. A thorough integration and understanding of the mechanisms of action these systems exert on colonic epithelia will be important in designing studies and experiments aimed at elucidating disease etiology for prevention and treatment.

Indexed as

AnimalsColonic NeoplasmsHormonesHumansObesityRisk FactorsSignal TransductionHormones

Identifiers

PMID21221874
OpenAlexW2086901581

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.