Evidence map›Paper›PMID 27376028›Full record

ArticleFrontiers in oncology2016

Polymorphisms of Insulin-Like Growth Factor 1 Pathway Genes and Breast Cancer Risk.

Joy Shi, Kristan J Aronson, Anne Grundy, Lindsay C Kobayashi, Igor Burstyn, Johanna M Schuetz, Caroline A Lohrisch, Sandip K SenGupta, Agnes S Lai, Angela Brooks-Wilson and 2 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 2 pooled it
2.0field-weighted citation impact, top 13% 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

7 citing papers in PubMed, 2 syntheses or guidelines pooled it, 12 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. Insulin-like growth factor 1 gene polymorphism in women with breast cancer.Medical oncology (Northwood, London, England) · 2017
    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

12 authors at 7 institutions in 3 countries.

Joy ShiDepartment of Public Health Sciences, Cancer Research Institute, Queen's University , Kingston, ON , Canada.
Kristan J AronsonDepartment of Public Health Sciences, Cancer Research Institute, Queen's University , Kingston, ON , Canada.
Anne GrundyIndividuals and Families, Alberta Cancer Prevention Legacy Fund, Alberta Health Services , Calgary, AB , Canada.
Lindsay C KobayashiDepartment of Epidemiology and Public Health, University College London , London , UK.
Igor BurstynDepartment of Environmental and Occupational Health, Drexel University , Philadelphia, PA , USA.
Johanna M SchuetzCanada's Michael Smith Genome Sciences Centre, British Columbia Cancer Agency , Vancouver, BC , Canada.
Caroline A LohrischDepartment of Medical Oncology, British Columbia Cancer Agency , Vancouver, BC , Canada.
Sandip K SenGuptaDepartment of Pathology and Molecular Medicine, Queen's University , Kingston, ON , Canada.
Agnes S LaiDepartment of Cancer Control Research, British Columbia Cancer Agency , Vancouver, BC , Canada.
Angela Brooks-WilsonCanada's Michael Smith Genome Sciences Centre, British Columbia Cancer Agency, Vancouver, BC, Canada; Department of Biomedical Physiology and Kinesiology, Simon Fraser University, Burnaby, BC, Canada.
John J SpinelliDepartment of Cancer Control Research, British Columbia Cancer Agency, Vancouver, BC, Canada; School of Population and Public Health, University of British Columbia, Vancouver, BC, Canada.
Harriet RichardsonDepartment of Public Health Sciences, Cancer Research Institute, Queen's University , Kingston, ON , Canada.
Queen's University · CABC Cancer Agency · CAAlberta Health Services · CACanada's Michael Smith Genome Sciences Centre · CADrexel University · USSimon Fraser University · CAUniversity College London · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genetic variants of insulin-like growth factor 1 (IGF1) pathway genes have been shown to be associated with breast density and IGF1 levels and, therefore, may also influence breast cancer risk via pro-survival signaling cascades. The aim of this study was to investigate associations between IGF1 pathway single nucleotide polymorphisms (SNPs) and breast cancer risk among European and East Asian women, and potential interactions with menopausal status and breast tumor subtype. Stratified analyses of 1,037 cases and 1,050 controls from a population-based case-control study were conducted to assess associations with breast cancer for 22 SNPs across 5 IGF1 pathway genes in European and East Asian women. Odds ratios were calculated using logistic regression in additive genetic models. Polytomous logistic regression was used to assess heterogeneity by breast tumor subtype. Two SNPs of the IGF1 gene (rs1019731 and rs12821878) were associated with breast cancer risk among European women. Four highly linked IGF1 SNPs (rs2288378, rs17727841, rs7136446, and rs7956547) were modified by menopausal status among East Asian women only and associated with postmenopausal breast cancers. The association between rs2288378 and breast cancer risk was also modified by breast tumor subtype among East Asian women. Several IGF1 polymorphisms were found to be associated with breast cancer risk and some of these associations were modified by menopausal status or breast tumor subtype. Such interactions should be considered when assessing the role of these variants in breast cancer etiology.

Indexed as

breast cancerbreast cancer subtypescase–controlIGFinteractionspolymorphisms

Identifiers

PMID27376028
PMCPMC4896919
OpenAlexW2411716997

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.