Evidence map›Paper›PMID 22929185›Full record

ArticleBMC research notes2012

Specific-mutational patterns of p53 gene in bladder transitional cell carcinoma among a group of Iraqi patients exposed to war environmental hazards.

Thekra A Al-Kashwan, Massoud Houshmand, Asaad Al-Janabi, Alice K Melconian, Dhafir Al-Abbasi, Muhammad N Al-Musawi, Maryam Rostami, Akeel A Yasseen

Open access · goldAbstract read
In one paragraph

Article in BMC research notes, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.9field-weighted citation impact, top 24% 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

0 citing papers in PubMed, 7 citations in OpenAlex.

No citing paper in PubMed yet.

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

8 authors at 3 institutions in 2 countries.

Thekra A Al-KashwanMiddle Euphrates unit for cancer research, Faculty of Medicine, University of Kufa, Kufa, Iraq.
Massoud Houshmand
Asaad Al-Janabi
Alice K Melconian
Dhafir Al-Abbasi
Muhammad N Al-Musawi
Maryam Rostami
Akeel A Yasseen
University of Kufa · IQNational Institute of Genetic Engineering and Biotechnology · IRUniversity of Baghdad · IQ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo unfold specific-mutational patterns in TP53 gene due to exposures to war environmental hazards and to detect the association of TP53 gene alteration with the depth of bladder cancer.

methodsTwenty-nine bladder carcinomas were analyzed for TP53 alterations. PCR-single strand conformational polymorphism analysis, DNA sequencing and immunohistochemical analysis using monoclonal mouse anti-human p53 antibody (Clone DO-7) were employed.

resultsTP53 gene mutations occurred in 37.9% of the cases while TP53 overexpression occurred in 58.6%. Both of them were associated with deep invasive-tumors. Single mutations were seen in 63.6%, whereas only 27.3% have shown double mutations. Four mutations were frameshifted (30.8%); two of them showed insertion A after codon 244. There was no significant association between TP53 mutations and protein overexpression (P>0.05), while a significant association was observed between TP53 alterations and tumors progression (P ≤ 0.01).

conclusionThe infrequent TP53mutations, especially insertion A and 196 hotspot codon, may represent the specific-mutational patterns in bladder carcinoma among the Iraqi patients who were exposed to war environmental hazards. TP53 alteration associated with bladder cancer progression should be analyzed by both mutational and protein expression analysis.

Indexed as

Environmental ExposureIraq War, 2003-2011MutationAdultAgedAged, 80 and overBiomarkers, TumorCarcinogens, EnvironmentalCarcinoma, Transitional CellCell Transformation, NeoplasticCodonDNA Mutational AnalysisFemaleFrameshift MutationGenetic Predisposition to DiseaseHumansBiomarkers, TumorCarcinogens, EnvironmentalCodonTP53 protein, humanTumor Suppressor Protein p53

Identifiers

PMID22929185
PMCPMC3439300
OpenAlexW1979715433

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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.