Evidence map›Paper›PMID 22083266›Full record

ArticleProstate cancer and prostatic diseases2012

Predictive value in the analysis of RNASEL genotypes in relation to prostate cancer.

M J Alvarez-Cubero, C Entrala, F Fernandez-Rosado, L J Martinez-Gonzalez, J C Alvarez, A Suarez, J A Lorente, J M Cozar

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Article in Prostate cancer and prostatic diseases, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.7field-weighted citation impact, top 15% of its field
1 · What the graph read from it

What it found

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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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3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 13 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

8 authors at 4 institutions in 1 country.

M J Alvarez-CuberoLaboratory of Genetic Identification, Legal Medicine and Toxicology Department, Facultad de Medicina, Universidad de Granada, Granada, Spain. mjesusac@ugr.es
C Entrala
F Fernandez-Rosado
L J Martinez-Gonzalez
J C Alvarez
A Suarez
J A Lorente
J M Cozar
Hospital Universitario Virgen de las Nieves · ESParque Tecnológico de la Salud · ESPfizer-University of Granada-Junta de Andalucía Centre for Genomics and Oncological Research · ESUniversidad de Granada · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe would like to compare the different RNASEL genotypes with the stage of the cancer using parameters such as PSA levels, Gleason score and T-stage, and to develop a clinical protocol for the monitoring of the disease for trying a better evolution of the patient.

methodsA total of 231 patients with sporadic prostate cancer and 100 of controls were genotyped in RNASEL gene by sequencing the exons 1 and 3. A survey of clinical information was collected by a specialist following the Helsinki protocol. All patients and controls were interviewed by a researcher and signed their informed consent to participation in the study, which was approved by Ethics Committee of the hospital. The genetic information was processed and collected with an ABI PRISM Genetic Analyser 3130 using SeqScape software v.2.6. All the patients were analysed by comparing the genetic and clinical data. χ(2)-tests, Monte Carlo, Fisher tests and contigency tables were performed using SPSS v.15.0 and ARLEQUIN v.3.5 software on patient population.

resultsSignificant differences were found only between patients and controls in D541E, R461Q and I97L genotypes, the remainder of the variants did not seem relevant to our population in contrast to other populations, such as north-Caucasians, Afro Americans and Ashkenazi Jews. The genotypes associated with the worst prognoses are G/G in D541E, A/A in R462Q and A/G in I97L. The controls were included in our study to determine an approximation of the genotype in our population compared with the patients, but they did not account for the statistical process.

conclusionsThe genetic profile of patients with this cancer combined with other parameters could be used as a prognosis factor in deciding to give more radical and frequent treatments, depending on personal genotype.

Indexed as

Genetic Predisposition to DiseaseEndoribonucleasesGenotypeHumansMaleNeoplasm GradingPolymorphism, GeneticPrognosisProstatic Neoplasms2-5A-dependent ribonucleaseEndoribonucleases

Identifiers

PMID22083266
OpenAlexW2009033422

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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.