Evidence map›Paper›PMID 28076434›Full record

ArticlePloS one2017

Diabetes and Breast Cancer Subtypes.

Heleen K Bronsveld, Vibeke Jensen, Pernille Vahl, Marie L De Bruin, Sten Cornelissen, Joyce Sanders, Anssi Auvinen, Jari Haukka, Morten Andersen, Peter Vestergaard and 1 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 2 pooled it
3.4field-weighted citation impact, top 7% 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

42 citing papers in PubMed, 2 syntheses or guidelines pooled it, 74 citations in OpenAlex.

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  14. The burden and risks of emerging complications of diabetes mellitus.Nature reviews. Endocrinology · 2022 · on this map
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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 at 8 institutions in 4 countries.

Heleen K BronsveldDivision of Molecular Pathology, The Netherlands Cancer Institute, Amsterdam, Netherlands.
Vibeke JensenDepartment of Pathology, Aarhus University Hospital THG, Aarhus, Denmark.
Pernille VahlDepartment of Pathology, Aarhus University Hospital THG, Aarhus, Denmark.
Marie L De BruinDivision of Pharmacoepidemiology & Clinical Pharmacology, Utrecht University, Utrecht, Netherlands.
Sten CornelissenDivision of Molecular Pathology, The Netherlands Cancer Institute, Amsterdam, Netherlands.
Joyce SandersDivision of Pathology, The Netherlands Cancer Institute, Amsterdam, Netherlands.
Anssi AuvinenSchool of Public Health, University of Tampere, Tampere, Finland.
Jari HaukkaDepartment of Public Health, University of Helsinki, Helsinki, Finland.
Morten AndersenDepartment of Medicine, Karolinska Institute, Stockholm, Sweden.
Peter VestergaardClinical Institute, Aalborg University, Aalborg, Denmark.
Marjanka K SchmidtDivision of Molecular Pathology, The Netherlands Cancer Institute, Amsterdam, Netherlands.
Oncode Institute · NLAarhus University Hospital · DKAalborg University · DKKarolinska Institutet · SETampere University · FIThe Netherlands Cancer Institute · NLUniversity of Helsinki · FIUtrecht University · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWomen with diabetes have a worse survival after breast cancer diagnosis compared to women without diabetes. This may be due to a different etiological profile, leading to the development of more aggressive breast cancer subtypes. Our aim was to investigate whether insulin and non-insulin treated women with diabetes develop specific clinicopathological breast cancer subtypes compared to women without diabetes. METHODS AND

findingsThis cross-sectional study included randomly selected patients with invasive breast cancer diagnosed in 2000-2010. Stratified by age at breast cancer diagnosis (≤50 and >50 years), women with diabetes were 2:1 frequency-matched on year of birth and age at breast cancer diagnosis (both in 10-year categories) to women without diabetes, to select ~300 patients with tumor tissue available. Tumor MicroArrays were stained by immunohistochemistry for estrogen and progesterone receptor (ER, PR), HER2, Ki67, CK5/6, CK14, and p63. A pathologist scored all stains and revised morphology and grade. Associations between diabetes/insulin treatment and clinicopathological subtypes were analyzed using multivariable logistic regression. Morphology and grade were not significantly different between women with diabetes (n = 211) and women without diabetes (n = 101), irrespective of menopausal status. Premenopausal women with diabetes tended to have more often PR-negative (OR = 2.44(95%CI:1.07-5.55)), HER2-negative (OR = 2.84(95%CI:1.11-7.22)), and basal-like (OR = 3.14(95%CI:1.03-9.60) tumors than the women without diabetes, with non-significantly increased frequencies of ER-negative (OR = 2.48(95%CI:0.95-6.45)) and triple negative (OR = 2.60(95%CI:0.88-7.67) tumors. After adjustment for age and BMI, the associations remained similar in size but less significant. We observed no evidence for associations of clinicopathological subtypes with diabetes in postmenopausal women, or with insulin treatment in general.

conclusionsWe found no compelling evidence that women with diabetes, treated with or without insulin, develop different breast cancer subtypes than women without diabetes. However, premenopausal women with diabetes tended to develop breast tumors that do not express hormonal receptors, which are typically associated with poor prognosis.

Indexed as

AdultAgedAged, 80 and overAge FactorsBreast NeoplasmsCross-Sectional StudiesDiabetes MellitusFemaleHumansInsulinMiddle AgedPostmenopausePremenopauseInsulin

Identifiers

PMID28076434
PMCPMC5226802
OpenAlexW2579151423

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.