Evidence map›Paper›PMID 17646056›Full record

ArticleCancer detection and prevention2007

Energy balance, insulin resistance biomarkers, and breast cancer risk.

Alecia Malin Fair, Qi Dai, Xiao-Ou Shu, Charles E Matthews, Herbert Yu, Fan Jin, Yu-Tang Gao, Wei Zheng

Registry-linked trialOpen access · greenAbstract read
In one paragraph

Article in Cancer detection and prevention, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04326660 (The Smartphone-Based Cancer and Obesity Prevention Education Program for Chinese Women), which is not on this map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 17% 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.

NCT04326660 nacompletednot on this mapstarted 2020, after this paper: background citation

The Smartphone-Based Cancer and Obesity Prevention Education Program for Chinese Women (SCOPE-Chinese Women)

TypeinterventionalSponsorUniversity of California, San FranciscoRan2020 to 2021Enrolled40ConditionsCancer, Breast, Obesity, AbdominalArmsSCOPE-Chinese Women
3 · Its place in the literature

Who cites it

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 41 citations in OpenAlex.

  1. Pooled it
  2. Smartphone-Based Cancer and Obesity Prevention Education Program for Chinese Women (SCOPE): A Pilot RCT.International journal of environmental research and public health · 2023
    Trial
  3. Trial
  4. Conformational dynamics in insulin receptor kinase reveal a type III allosteric pocket.Protein science : a publication of the Protein Society · 2026
    Article
  5. Review
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  19. IGF and insulin receptor signaling in breast cancer.Journal of mammary gland biology and neoplasia · 2008
    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

8 authors at 4 institutions in 2 countries.

Alecia Malin FairMeharry Medical College, School of Medicine, Department of Surgery, 1005 Dr. D.B. Todd Jr. Boulevard, Nashville, TN 37208-3599, USA. afair@mmc.edu
Qi Dai
Xiao-Ou Shu
Charles E Matthews
Herbert Yu
Fan Jin
Yu-Tang Gao
Wei Zheng
Vanderbilt University · USShanghai Cancer Institute · CNMeharry Medical College · USYale University · US

Funding

WYETH 303 STUDYP20RR011792 · NCRR · MEHARRY MEDICAL COLLEGE · PI MONTGOMERY-RICE, VALERIE C. · 1996 to 2009
$14.4M
Training/Education CoreP20MD000516 · NIMHD · MEHARRY MEDICAL COLLEGE · PI ZOOROB, ROGER J · 2003 to 2013
$14.2M
Shanghai Breast Cancer StudyR01CA064277 · NCI · VANDERBILT UNIVERSITY · PI SHU, XIAO-OU · 1996 to 2012
$4.8M
NCI NIH HHS R01 CA064277NCI NIH HHS R01-CA64277NCRR NIH HHS P20 RR011792NCRR NIH HHS P20RR011792NIMHD NIH HHS 5 P20 MD000516-03NIMHD NIH HHS P20 MD000516
6 · The paper itself

Abstract

backgroundAmerican women are five times more likely to be at risk for breast cancer than women from Asian countries. Epidemiologic studies have linked energy balance to an increased risk of breast cancer, yet few studies have investigated potential mediators of this association with Chinese women. We examined the above association by blood levels of insulin-like growth factors (IGFs), binding proteins, and C-peptide in the Shanghai Breast Cancer Study (SBCS), a case-control study conducted among 1,459 breast cancer cases and 1,556 healthy Chinese women from 1996 and 1998.

methodsIn-person surveys were used to collect data on energy intake, anthropometric measures, exercise/sport activity, and occupational activity. The present analyses consisted of 397 cases and 397 controls whose blood samples were measured for levels of IGFs, insulin growth-factor binding protein 3 (IGFBP-3), C-peptide, and the relationship with physical activity status, total energy intake, and body fat distribution.

resultsBody mass index (BMI) and waist-to-hip ratio (WHR) were significantly positively correlated with IGFBP-3 and C-peptide. Adult exercise/sport activity was significantly negatively correlated with insulin-like growth factor 1 (IGF-I). C-peptide levels increased with increasing quartiles of WHR (p for trend<0.01). Additional analyses were performed to evaluate whether the association of energy balance measures with breast cancer risk changed after adjustment for IGFs, IGFBP-3, and C-peptide biomarkers. The associations attenuated, but none of them changed substantially.

conclusionInsulin resistance biomarkers may partially explain the association between positive energy balance and breast cancer risk, but future studies are needed to identify the underlying complex biological mechanisms of action for breast cancer prevention.

Indexed as

Energy IntakeAdultAsian PeopleBiomarkersBody Mass IndexBreast NeoplasmsCase-Control StudiesChinaC-PeptideEnergy MetabolismExerciseFemaleHumansInsulin-Like Growth Factor Binding Protein 3Insulin-Like Growth Factor IInsulin-Like Growth Factor IIBiomarkersC-PeptideInsulin-Like Growth Factor Binding Protein 3Insulin-Like Growth Factor IInsulin-Like Growth Factor II

Identifiers

PMID17646056
PMCPMC1994998
OpenAlexW2088652321

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.