Evidence map›Paper›PMID 29662629›Full record

ArticleOncotarget2018

Pre-diagnostic biomarkers of metabolic dysregulation and cancer mortality.

Tomi Akinyemiju, Justin Xavier Moore, Suzanne E Judd, Maria Pisu, Michael Goodman, Virginia J Howard, Leann Long, Monika Safford, Susan C Gilchrist, Mary Cushman

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 20% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.

  1. Pooled it
  2. Article
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  5. Review
  6. Article
  7. Article
  8. Review
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  10. Ovarian Cancer Biomarkers: Moving Forward in Early Detection.Advances in experimental medicine and biology · 2020
    Review
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  12. 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

10 authors at 5 institutions in 1 country.

Tomi AkinyemijuDepartment of Epidemiology, University of Alabama at Birmingham, Birmingham, AL, USA.
Justin Xavier MooreDepartment of Epidemiology, University of Alabama at Birmingham, Birmingham, AL, USA.
Suzanne E JuddDepartment of Biostatistics, University of Alabama at Birmingham, Birmingham, AL, USA.
Maria PisuComprehensive Cancer Center, University of Alabama at Birmingham, Birmingham, AL, USA.
Michael GoodmanDepartment of Epidemiology, Emory University Rollins School of Public Health, Atlanta, GA, USA.
Virginia J HowardDepartment of Epidemiology, University of Alabama at Birmingham, Birmingham, AL, USA.
Leann LongDepartment of Biostatistics, University of Alabama at Birmingham, Birmingham, AL, USA.
Monika SaffordDepartment of Medicine, Weill Cornell Medical College, New York, NY, USA.
Susan C GilchristDepartment of Clinical Cancer Prevention and Cardiology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Mary CushmanDepartment of Medicine and Vermont Cancer Center, Larner College of Medicine at the University of Vermont, Burlington, VT, USA.
University of Alabama at Birmingham · USCornell University · USEmory University · USThe University of Texas MD Anderson Cancer Center · USUniversity of Vermont · US

Funding

VCID and Stroke in a Bi-racial National CohortU01NS041588 · NINDS · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI CUSHMAN, MARY, HOWARD, GEORGE · 2002 to 2022
$96.0M
UAB Center for Clinical and Translational Science (CCTS)UL1TR001417 · NCATS · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI KIMBERLY, ROBERT P. · 2015 to 2018
$31.4M
TRAINING AND CAREER DEVELOPMENTU54CA118948 · NCI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI Timiya S Nolan · 2005 to 2026
$26.6M
UAB CENTER FOR CLINICAL AND TRANSLATIONAL SCIENCE (CCTS) UL1: BPCAUL1RR025777 · NCRR · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI GUAY-WOODFORD, LISA MARIE · 2008 to 2011
$22.3M
University of Alabama at Birmingham's Diabetes Research CenterP30DK079626 · NIDDK · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI Kirk Michael Habegger · 2013 to 2026
$19.5M
REGARDS - MI StudyR01HL080477 · NHLBI · WEILL MEDICAL COLL OF CORNELL UNIV · PI LEVITAN, EMILY B, SAFFORD, MONIKA M · 2006 to 2020
$11.6M
Cancer Prevention & Control Training ProgramR25CA047888 · NCI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI DEMARK-WAHNEFRIED, WENDY, MENESES, KAREN M · 1988 to 2016
$11.2M
Risk Factors for Sepsis in the CommunityR01NR012726 · NINR · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI WANG, HENRY E. · 2011 to 2015
$2.6M
Regional & Racial Differences in Hemostasis & Risk of Stroke & Heart DiseaseK08HL096841 · NHLBI · UNIVERSITY OF VERMONT & ST AGRIC COLLEGE · PI ZAKAI, NEIL ADRIAN · 2010 to 2014
$705k
Metabolic Syndrome and Epigenetic Markers of Breast Cancer in Nigerian WomenK01TW010271 · FIC · UNIVERSITY OF KENTUCKY · PI AKINYEMIJU, TOMI F · 2016 to 2020
$676k
FIC NIH HHS K01 TW010271NCATS NIH HHS UL1 TR001417NCI NIH HHS R25 CA047888NCI NIH HHS U54 CA118948NCRR NIH HHS UL1 RR025777NHLBI NIH HHS K08 HL096841NHLBI NIH HHS R01 HL080477NIDDK NIH HHS P30 DK079626NINDS NIH HHS U01 NS041588NINR NIH HHS R01 NR012726
6 · The paper itself

Abstract

introductionThe obesogenic milieu is a pro-tumorigenic environment that promotes tumor initiation, angiogenesis and metastasis. In this prospective cohort, we examined the association between pre-diagnostic metabolic biomarkers, plasma adiponectin, resistin, leptin and lipoprotein (a), and the risk of cancer mortality.

methodsProspective data was obtained from the REasons for Geographic and Racial Differences in Stroke (REGARDS) cohort of Blacks and Whites followed from 2003 through 2012 for cancer mortality. We determined the association between metabolism biomarkers (log-transformed and tertiles) and risk of cancer mortality using Cox Proportional Hazards models with robust sandwich estimators to calculate the 95% confidence intervals (CIs), and adjusted for baseline covariates, including age, gender, income, education, physical activity, BMI, smoking status, alcohol use, and comorbidity score.

resultsAmong 1764 participants with available biomarker data, each SD higher log-leptin was associated with a 54% reduced risk of total cancer mortality (HR: 0.46, 95% CI: 0.23 - 0.92) and obesity-related cancer mortality (HR: 0.55, 95% CI: 0.39-0.79). Among Blacks only, each SD higher log-resistin was associated with a nearly 7-fold increased risk of cancer mortality (adjusted HR: 6.68, 95% CI: 2.10 - 21.21). There were no significant associations of adiponectin or Lp(a) and cancer mortality.

conclusionsLeptin is involved in long-term regulation of energy balance, while resistin is involved in chronic inflammation and LDL production. These findings highlight the biological mechanisms linking metabolic dysregulation with cancer mortality, and the influence of resistin on cancer mortality only among Blacks suggests that this hormone may be a useful biomarker of racial differences in cancer mortality that deserves further study. IMPACT: Our observed increased risk of cancer mortality associated with higher serum resistin levels among Blacks suggests that if validated in larger cohorts, clinical strategies focused on resistin control may be a promising cancer prevention strategy.

Indexed as

cancer mortalitymetabolic biomarkersmetabolismracial disparities

Identifiers

PMID29662629
PMCPMC5882320
OpenAlexW2790153272

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.