Evidence map›Paper›PMID 25592235›Full record

ArticleCancer epidemiology2015

A prospective evaluation of C-peptide levels and colorectal adenoma incidence.

Neil Murphy, Amanda J Cross, Wen-Yi Huang, Vian Rajabzadeh-Heshejin, Frank Stanczyk, Richard Hayes, Marc J Gunter

Open access · greenAbstract read
In one paragraph

Article in Cancer epidemiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 38% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. Article
  3. 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

7 authors at 4 institutions in 2 countries.

Neil MurphyDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK. Electronic address: neil.murphy@imperial.ac.uk.
Amanda J CrossDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.
Wen-Yi HuangDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA.
Vian Rajabzadeh-HeshejinDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.
Frank StanczykDepartment of Obstetrics and Gynecology, University of Southern California, Los Angeles, CA, USA; Department of Preventive Medicine, University of Southern California, Los Angeles, CA, USA.
Richard HayesDivision of Epidemiology, Department of Environmental Medicine, NYU Langone Medical Center, NYU Cancer Institute, New York, NY, USA.
Marc J GunterDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.
Imperial College London · GBNational Cancer Institute · USNYU Langone Health · USUniversity of Southern California · US

Funding

PLCO Trial Etiologic and Early Marker StudyZIACP010152 · NCI · DIVISION OF CANCER EPIDEMIOLOGY AND GENETICS · PI MOORE, STEVEN · 2009 to 2025
$29.9M
Intramural NIH HHS Z99 CA999999
6 · The paper itself

Abstract

backgroundObesity is a recognised positive risk factor for colorectal adenoma and colorectal cancer. Obesity is associated with insulin resistance and compensatory hyperinsulinaemia, and circulating insulin and C-peptide, a biomarker of insulin levels, have been positively associated with colorectal cancer risk. However, whether a similar relationship exists for colorectal adenomas, an established colorectal cancer precursor, is unclear.

methodsIn a nested case-control study of 273 colorectal adenoma cases and 355 matched controls from the screening arm of the Prostate, Lung, Colorectal and Ovarian Cancer Screening Trial, serum C-peptide levels were measured by a chemiluminescent immunometric assay. Multivariable unconditional logistic regression models were used to calculate odds ratios (OR) and 95% confidence intervals (CI) for colorectal adenoma within quartiles of C-peptide. Further, to explore the temporal stability of C-peptide, repeat samples from the incident adenoma cases (n=50) and controls (n=30), over a 5-year period were assayed and the intra-class correlations (ICC) estimated.

resultsIn a multivariable model that included established colorectal adenoma risk factors, C-peptide levels were not associated with colorectal adenoma (Q4 vs. Q1, OR 0.83, 95% CI: 0.52-1.31; P-trend 0.32); similar null associations were observed by gender, by adenoma subsite and for advanced adenomas. Among control participants, the ICC value over a 5-year period was 0.66.

conclusionOur results suggest that higher C-peptide levels were not associated with colorectal adenoma incidence in this study population. Other biological pathways associated with obesity may be more relevant to the early stages of colorectal tumorigenesis.

Indexed as

AdenomaCase-Control StudiesColorectal NeoplasmsC-PeptideFemaleHumansIncidenceMaleMiddle AgedObesityProspective StudiesRisk FactorsC-PeptideAdenomaCancerColorectalC-peptide, HyperinsulinaemiaInsulinResistance

Identifiers

PMID25592235
PMCPMC6444924
OpenAlexW2066289075

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Registered trials

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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.