Evidence map›Paper›PMID 23586029›Full record

ArticleBioMed research international2013

Molecular characterization of TP53 gene in human populations exposed to low-dose ionizing radiation.

Igor Brasil-Costa, Dayse O Alencar, Milene Raiol-Moraes, Igor A Pessoa, Alexandre W M Brito, Schneyder R Jati, Sidney E B Santos, Rommel M R Burbano, Andrea K C Ribeiro-dos-Santos

Open access · hybridAbstract read
In one paragraph

Article in BioMed research international, 2013. 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
–field-weighted citation impact, top 94% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

9 authors at 2 institutions in 1 country.

Igor Brasil-CostaLaboratory of Human and Medical Genetics, Biological Sciences Institute, Federal University of Pará (UFPA), Augusto Correa Street, Number 01, CEP 66075-110 Belém, PA, Brazil.
Dayse O Alencar
Milene Raiol-Moraes
Igor A Pessoa
Alexandre W M Brito
Schneyder R Jati
Sidney E B Santos
Rommel M R Burbano
Andrea K C Ribeiro-dos-Santos
Universidade Federal do Pará · BRInstituto Evandro Chagas · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ionizing radiation, such as that emitted by uranium, may cause mutations and consequently lead to neoplasia in human cells. The TP53 gene acts to maintain genomic integrity and constitutes an important biomarker of susceptibility. The present study investigated the main alterations observed in exons 4, 5, 6, 7, and 8 of the TP53 gene and adjacent introns in Amazonian populations exposed to radioactivity. Samples were collected from 163 individuals. Occurrence of the following alterations was observed: (i) a missense exchange in exon 4 (Arg72Pro); (ii) 2 synonymous exchanges, 1 in exon 5 (His179His), and another in exon 6 (Arg213Arg); (iii) 4 intronic exchanges, 3 in intron 7 (C → T at position 13.436; C → T at position 13.491; T → G at position 13.511) and 1 in intron 8 (T → G at position 13.958). Alteration of codon 72 was found to be an important risk factor for cancer development (P = 0.024; OR = 6.48; CI: 1.29-32.64) when adjusted for age and smoking. Thus, TP53 gene may be an important biomarker for carcinogenesis susceptibility in human populations exposed to ionizing radiation.

Indexed as

Radiation, IonizingAdultAllelesCell Transformation, NeoplasticEnvironmental ExposureExonsGenomic InstabilityHumansMiddle AgedMutationNeoplasmsRadiation DosageTumor Suppressor Protein p53UraniumTP53 protein, humanTumor Suppressor Protein p53Uranium

Identifiers

PMID23586029
PMCPMC3613089
OpenAlexW1988250280

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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.