Evidence map›Paper›PMID 28264697›Full record

ArticleBreast cancer research : BCR2017

Circulating gamma-glutamyl transferase and development of specific breast cancer subtypes: findings from the Apolipoprotein Mortality Risk (AMORIS) cohort.

Lydia Shackshaft, Mieke Van Hemelrijck, Hans Garmo, Håkan Malmström, Mats Lambe, Niklas Hammar, Göran Walldius, Ingmar Jungner, Wahyu Wulaningsih

Open access · goldAbstract read
In one paragraph

Article in Breast cancer research : BCR, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.6field-weighted citation impact, top 31% 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

6 citing papers in PubMed, 11 citations in OpenAlex.

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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

9 authors at 3 institutions in 2 countries.

Lydia ShackshaftDivision of Cancer Studies, Cancer Epidemiology Group, King's College London, Faculty of Life Sciences & Medicine, Guy's Hospital, 3rd Floor, Bermondsey Wing, London, SE1 9RT, UK.
Mieke Van HemelrijckDivision of Cancer Studies, Cancer Epidemiology Group, King's College London, Faculty of Life Sciences & Medicine, Guy's Hospital, 3rd Floor, Bermondsey Wing, London, SE1 9RT, UK.
Hans GarmoDivision of Cancer Studies, Cancer Epidemiology Group, King's College London, Faculty of Life Sciences & Medicine, Guy's Hospital, 3rd Floor, Bermondsey Wing, London, SE1 9RT, UK.
Håkan MalmströmUnit of Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.
Mats LambeRegional Cancer Centre, Uppsala, Sweden.
Niklas HammarAstraZeneca R&D, Mölndal, Sweden.
Göran WalldiusUnit of Cardiovascular Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.
Ingmar JungnerDepartment of Medicine, Clinical Epidemiological Unit, Karolinska Institutet and CALAB Research, Stockholm, Sweden.
Wahyu WulaningsihDivision of Cancer Studies, Cancer Epidemiology Group, King's College London, Faculty of Life Sciences & Medicine, Guy's Hospital, 3rd Floor, Bermondsey Wing, London, SE1 9RT, UK. wahyu.wulaningsih@kcl.ac.uk.ORCID 0000-0002-3822-1648
Karolinska Institutet · SEGuy's Hospital · GBKing's College London · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDifferent etiological pathways may precede development of specific breast cancer subtypes and impact prevention or treatment strategies. We investigated the association between gamma-glutamyl transferase (GGT) and development of specific breast cancer subtypes based on oestrogen receptor (ER), progesterone receptor (PR) and HER2 status.

methodsWe included 231,283 cancer-free women in a Swedish cohort. Associations between GGT and breast cancer subtypes were investigated with nested case-control and case-case analyses. We used logistic regression models to assess serum GGT in relation to breast cancer subtype, based on individual and combined receptor status.

resultsPositive associations were found between serum GGT and development of ER+, ER- and PR+ breast cancers compared to controls (odds ratio (OR) 1.14 (95% confidence interval (CI) 1.08-1.19), 1.11 (1.01-1.23) and 1.18 (1.12-1.24), respectively) and of ER+/PR+ tumours. We found inverse associations between GGT levels and PR- breast cancers compared to PR+ (OR 0.87 (0.80-0.95)), between ER+/PR- tumours compared to ER+/PR+ tumours and between ER-/PR-/HER+ compared to ER+/HER2 or PR+/HER2 tumours (OR 0.55 (95% CI 0.34-0.90).

conclusionThe observed associations between pre-diagnostic serum GGT and different breast cancer subtypes may indicate distinct underlying pathways and require further investigations to tease out their clinical implications.

Indexed as

AdultAgedApolipoproteinsBiomarkersBreast NeoplasmsCase-Control StudiesCohort StudiesErb-b2 Receptor Tyrosine KinasesFemalegamma-GlutamyltransferaseHumansMiddle AgedOdds RatioPopulation SurveillanceReceptors, EstrogenReceptors, ProgesteroneApolipoproteinsBiomarkersErb-b2 Receptor Tyrosine Kinasesgamma-GlutamyltransferaseReceptors, EstrogenReceptors, ProgesteroneBreast cancerGGTGlucoseProspective studyTriglycerides

Identifiers

PMID28264697
PMCPMC5339947
OpenAlexW2593018926

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.