Evidence map›Paper›PMID 24920352›Full record

ArticleMedical oncology (Northwood, London, England)2014

Association between the lengths of GT dinucleotide repeat in the PIK3CA gene with breast cancer risk.

Najmeh Heshmatpour, Simin Hematti, Seyyed Hossein Hejazi, Forousan Safari, Manoochehr Tavassoli

Abstract read
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In one paragraph

Article in Medical oncology (Northwood, London, England), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 91% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Review
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

5 authors at 1 institution in 1 country.

Najmeh HeshmatpourDepartment of Biology, Faculty of Sciences, University of Isfahan, Hezar-Jarib, Isfahan, Iran, najmeh619@gmail.com.
Simin Hematti
Seyyed Hossein Hejazi
Forousan Safari
Manoochehr Tavassoli
University of Isfahan · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The phosphatidylinositol 3-kinase (PI3 K)/Akt signaling pathway is one of the most commonly mutated pathways in breast cancer. To date, there has been no study on polymorphism of phosphatidylinositol-3,4-bisphosphonate 3-kinase, catalytic subunit alpha (PIK3CA) gene microsatellites and their link with breast cancer risk. In the present study, we investigate the guanine-thymine (GT) dinucleotide repeat polymorphism in intron 1 of PIK3CA gene in a cohort of 200 breast cancer patients and 200 healthy individuals and its link to the risk of developing breast cancer. The results of this study demonstrate that PIK3CA gene allele distribution in Isfahan population varies between 13 and 20 repeats. GT14 and GT16 were the most common allele present in patients, and GT17 was the most common allele in controls. Women with one or two alleles shorter than 17 GT repeat have a significantly higher risk of developing breast cancer [Odds ratio (OR) 3.6, p = 0.00001 and OR 3.98, p = 0.000001, respectively], in contrast, women with one or two alleles longer than 16 are at lower risk of breast cancer. This result suggests a potential role for this microsatellite as a predictive marker of breast cancer risk in Iranian women.

Indexed as

Dinucleotide RepeatsAdultAgedAged, 80 and overBreast NeoplasmsCase-Control StudiesClass I Phosphatidylinositol 3-KinasesFemaleGene FrequencyGenetic Predisposition to DiseaseGenetics, PopulationHumansIntronsIranMicrosatellite RepeatsMiddle AgedClass I Phosphatidylinositol 3-KinasesPhosphatidylinositol 3-KinasesPIK3CA protein, human

Identifiers

PMID24920352
OpenAlexW2039924399

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.