Evidence map›Paper›PMID 25249326›Full record

ArticleCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2014

Body mass index, physical activity, and serum markers of inflammation, immunity, and insulin resistance.

Cari M Kitahara, Britton Trabert, Hormuzd A Katki, Anil K Chaturvedi, Troy J Kemp, Ligia A Pinto, Steven C Moore, Mark P Purdue, Nicolas Wentzensen, Allan Hildesheim and 1 more

Abstract read
In one paragraph

Article in Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
57citing papers in PubMed, 3 pooled it
–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

57 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  3. Pooled it
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  7. Exercise and dietary advice intervention for survivors of triple-negative breast cancer: effects on body fat, physical function, quality of life, and adipokine profile.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2015
    Trial
  8. Association between Regular Aspirin Use and Circulating Markers of Inflammation: A Study within the Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2015
    Trial
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  14. Review
  15. CCL13 and human diseases.Frontiers in immunology · 2023
    Review
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  19. Solar UVR and Variations in Systemic Immune and Inflammation Markers.JID innovations : skin science from molecules to population health · 2021
    Article
  20. 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

11 authors.

Cari M KitaharaDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland. meinholdc@mail.nih.gov.
Britton TrabertDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland.
Hormuzd A KatkiDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland.
Anil K ChaturvediDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland.
Troy J KempHPV Immunology Laboratory, Leidos Biomedical Research, Inc., Frederick National Laboratory for Cancer Research, Frederick, Maryland.
Ligia A PintoHPV Immunology Laboratory, Leidos Biomedical Research, Inc., Frederick National Laboratory for Cancer Research, Frederick, Maryland.
Steven C MooreDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland.
Mark P PurdueDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland.
Nicolas WentzensenDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland.
Allan HildesheimDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland.
Meredith S ShielsDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland.

Funding

Infections, immunity, and inflammation in cancerZIACP010150 · NCI · DIVISION OF CANCER EPIDEMIOLOGY AND GENETICS · PI ENGELS, ERIC A · 2009 to 2025
$24.0M
Intramural NIH HHS Z99 CA999999
6 · The paper itself

Abstract

backgroundEpidemiologic studies examining circulating levels of inflammatory markers in relation to obesity and physical inactivity may aid in our understanding of the role of inflammation in obesity-related cancers. However, previous studies on this topic have focused on a limited set of markers.

methodsWe evaluated associations between body mass index (BMI) and vigorous physical activity level, based on self-report, and serum levels of 78 inflammation-related markers. Markers were measured using a bead-based multiplex method among 1,703 men and women, ages 55-74 years, and with no prior history of cancer at blood draw, and selected for case-control studies nested within the Prostate, Lung, Ovarian, and Colorectal Cancer Screening Trial. Analyses were adjusted for age, sex, smoking, case-control study, physical activity, and BMI.

resultsTwelve markers were positively associated with BMI after FDR correction. ORs and 95% confidence interval (CI) for highest versus lowest levels of CCL2/MCP-1, CXCL5/ENA-78, sTNFRII, CXCL10/IP-10, CXCL6/GCP2, CCL13/MCP-4, amylin, CRP, C-peptide, CCL19/MIP-3b, insulin, and leptin were: 1.50 (1.14-1.98), 1.52 (1.12-2.05), 1.61 (1.17-2.20), 1.69 (1.25-2.28), 1.74 (1.24-2.44), 1.75 (1.22-2.50), 1.91 (1.31-2.78), 2.41 (1.36-4.25), 2.78 (1.83-4.24), 3.30 (2.28-4.78), 4.05 (2.51-6.55), and 50.03 (19.87-125.99) per 5 kg/m(2), respectively. Only CXCL12/SDF-1a was associated with physical activity (≥3 vs. <1 h/wk; OR, 3.28; 95% CI, 1.55-6.94) after FDR correction.

conclusionsBMI was associated with a wide range of circulating markers involved in the inflammatory response. IMPACT: This cross-sectional analysis identified serum markers could be considered in future studies aimed at understanding the underlying mechanisms linking inflammation with obesity and obesity-related cancers.

Indexed as

AgedBiomarkersBody Mass IndexFemaleHumansInflammationInsulin ResistanceMaleMiddle AgedMotor ActivityRisk FactorsBiomarkers

Identifiers

PMID25249326
PMCPMC4257882

What OpenQuestion holds

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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.