Evidence map›Paper›PMID 25001088›Full record

ArticleMedical oncology (Northwood, London, England)2014

Association between LAPTM4B gene polymorphism and breast cancer susceptibility in an Iranian population.

Mohammad Hashemi, Sahadi Amininia, Mahboubeh Ebrahimi, Seyed Mehdi Hashemi, Javad Yousefi, Ebrahim Eskandari-Nasab, Mohsen Taheri, Saeid Ghavami

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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 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Biomedical reports · 2016
    Article
  4. Association betweenMolecular & cellular oncology · 2016
    Article
  5. Article
  6. Article
  7. Association ofJournal of ophthalmic & vision research
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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.

Mohammad HashemiCellular and Molecular Research Center, Zahedan University of Medical Sciences, Zahedan, Iran, mhd.hashemi@gmail.com.
Sahadi Amininia
Mahboubeh Ebrahimi
Seyed Mehdi Hashemi
Javad Yousefi
Ebrahim Eskandari-Nasab
Mohsen Taheri
Saeid Ghavami

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lysosome associated protein transmembrane 4beta (LAPTM4B) contribute to the risk of numerous cancers. The present study focused on the possible association between LAPTM4B polymorphism and the risk of breast cancer (BC) in an Iranian population in southeast Iran. This case control study includes 311 BC patients and 225 healthy women. Genomic DNA was extracted from the whole blood by salting out method and LAPTM4B genotype was investigated using polymerase chain reaction. Our findings showed that LAPTM4B genotype was not associated with the risk of BC in any inheritance model tested. The minor allele frequency in case and control group was 0.297 and 0.278, respectively. The minor allele (LAPTM4B*2) was not associated with BC risk in comparison with LAPTM4B*1 allele (odds ratio 1.10, 95 % confidence intervals 0.84-1.44, p = 0.495). Moreover, LAPTM4B polymorphism was not associated with clinical and pathological characteristics in the patient group. In conclusion, the findings of our study suggested that the polymorphism of LAPTM4B gene was not associated with susceptibility to BC and clinicopathological characteristics in an Iranian population.

Indexed as

Genetic Predisposition to DiseaseBase SequenceBreast NeoplasmsCase-Control StudiesFemaleGene FrequencyHumansIranMembrane ProteinsMiddle AgedMolecular Sequence DataOdds RatioOncogene ProteinsLAPTM4B protein, humanMembrane ProteinsOncogene Proteins

Identifiers

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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.