Evidence map›Paper›PMID 24789723›Full record

ArticlePathology oncology research : POR2015

Cyclooxygenase-2 polymorphisms and breast cancer associated risk in Pakistani patients.

Tariq Moatter, Muniba Aban, Waseem Iqbal, Shahid Pervez

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Article in Pathology oncology research : POR, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 21% 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

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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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

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4 · The record

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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

4 authors at 2 institutions in 2 countries.

Tariq MoatterDepartment of Pathology and Microbiology, The Aga Khan University, Stadium Road, Karachi, 74800, Pakistan.
Muniba Aban
Waseem Iqbal
Shahid Pervez
Aga Khan University · TZBaqai Medical University · PK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

unlabelledProstaglandins produced by Cyclooxygenase-2 enzyme have been implicated to have a role in breast carcinogenesis. Several single nucleotide polymorphisms (SNPs) linked to COX-2 enzyme are reported to modulate its expression. The aim of the present study was to examine association of these SNPs to breast cancer risk in Pakistani patients.

methodsIn this case-control study, three sequence variants rs689465, rs689466, rs20417 in the promoter region of COX-2 were screened to evaluate the association with breast cancer risk. A total of 150 breast cancer patients and 101 healthy control genomic DNA were genotyped for rs689456, rs689466, rs20417 and their genotypes distribution in cases and control were compared using Pearson chi square test. Risk association was analyzed through odd ratio calculated by logistic regression.

resultsA screening analysis of COX-2 SNPs in 101 healthy controls showed distribution of Minor allelic frequency distribution of SNPs as follows : rs689465 (0.12), rs689466 (0.15), rs20417 (0.23). Further analyses revealed that their observed genotype frequencies were consistent with Hardy Weinberg equilibrium and strong linkage disequilibrium was identified between rs20417, rs689465 and rs689466. The Combined allele variants analysis showed that Haplotype rs68965G- 689466A-20417C (OR 2.909; CI 95 %1.3776.327; P = 0.007) was significantly associated with breast cancer.

conclusionsOur results indicate no strong association between three most frequent COX-2 SNPs rs689465 rs689466, rs20417 studied with breast cancer risk in the single locus analysis. However, our data suggested that combined COX-2 SNP haplotype have a role in breast cancer associated risk in Pakistani patients.

Indexed as

AdultAgedAllelesAsian PeopleBreast NeoplasmsCase-Control StudiesCyclooxygenase 2FemaleGene FrequencyGenetic Predisposition to DiseaseGenotypeHumansLinkage DisequilibriumMiddle AgedPakistanPolymorphism, Single NucleotideCyclooxygenase 2PTGS2 protein, human

Identifiers

PMID24789723
OpenAlexW2077463202

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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.