Evidence map›Paper›PMID 16842617›Full record

ArticleBMC cancer2006

Interleukin gene polymorphisms and breast cancer: a case control study and systematic literature review.

S P Balasubramanian, I A F Azmy, S E Higham, A G Wilson, S S Cross, A Cox, N J Brown, M W Reed

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC cancer, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 9 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 9 pooled it
2.6field-weighted citation impact, top 11% 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

39 citing papers in PubMed, 9 syntheses or guidelines pooled it, 89 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

8 authors at 1 institution in 1 country.

S P BalasubramanianAcademic Surgical Oncology Unit, University of Sheffield, Sheffield, UK. s.p.balasubramanian@sheffield.ac.uk
I A F Azmy
S E Higham
A G Wilson
S S Cross
A Cox
N J Brown
M W Reed
University of Sheffield · GB

Funding

Breast Cancer Now 2004NOV49
6 · The paper itself

Abstract

backgroundInterleukins and cytokines play an important role in the pathogenesis of many solid cancers. Several single nucleotide polymorphisms (SNPs) identified in cytokine genes are thought to influence the expression or function of these proteins and many have been evaluated for their role in inflammatory disease and cancer predisposition. The aim of this study was to evaluate any role of specific SNPs in the interleukin genes IL1A, IL1B, IL1RN, IL4R, IL6 and IL10 in predisposition to breast cancer susceptibility and severity.

methodsCandidate single nucleotide polymorphisms (SNPs) in key cytokine genes were genotyped in breast cancer patients and in appropriate healthy volunteers who were similar in age, race and sex. Genotyping was performed using a high throughput allelic discrimination method. Data on clinico-pathological details and survival were collected. A systematic review of Medline English literature was done to retrieve previous studies of these polymorphisms in breast cancer.

resultsNone of the polymorphisms studied showed any overall predisposition to breast cancer susceptibility, severity or to time to death or occurrence of distant metastases. The results of the systematic review are summarised.

conclusionPolymorphisms within key interleukin genes (IL1A, IL1B, IL1RN, IL4R, IL6 and IL10 do not appear to play a significant overall role in breast cancer susceptibility or severity.

Indexed as

Genetic Predisposition to DiseasePolymorphism, GeneticPolymorphism, Single NucleotideAgedAllelesBreast NeoplasmsCase-Control StudiesDisease ProgressionFemaleGenotypeHumansInterleukinsMiddle AgedNeoplasm MetastasisInterleukins

Identifiers

PMID16842617
PMCPMC1553474
OpenAlexW1930449800

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.