Evidence map›Paper›PMID 24046815›Full record

ArticleSpringerPlus2013

The potential impact of adding genetic markers to clinical parameters in managing high-risk prostate cancer patients.

Maria Jesus Alvarez-Cubero, Luis Javier Martinez-Gonzalez, Fernando Vazquez-Alonso, Maria Saiz, Juan Carlos Alvarez, Jose Antonio Lorente, Jose Manuel Cozar

Open access · diamondAbstract read
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Article in SpringerPlus, 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
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0citing papers in PubMed
–field-weighted citation impact, top 82% 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

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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, 0 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

7 authors at 3 institutions in 1 country.

Maria Jesus Alvarez-CuberoLaboratory of Genetic Identification, Legal Medicine and Toxicology Department, Facultad de Medicina, Universidad de Granada, Avda.de Madrid, 11, 18071 Granada, Spain ; Center GENYO (Pfizer-University of Granada-Andalusian Government Center for Genomics and Oncological Research), Granada, Spain.
Luis Javier Martinez-Gonzalez
Fernando Vazquez-Alonso
Maria Saiz
Juan Carlos Alvarez
Jose Antonio Lorente
Jose Manuel Cozar
Universidad de Granada · ESHospital Universitario Virgen de las Nieves · ESPfizer-University of Granada-Junta de Andalucía Centre for Genomics and Oncological Research · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeHigh-risk prostate cancer is a potentially lethal disease that is increasing in the diagnosis of prostate cancer patients. Compared to other prostate cancer patients (medium or low risk), management, diagnosis and treatment are not as successful among high-risk patients. Because the genetic characterization of prostate cancer patients is increasing, we aimed to determine whether genetic information in one of the primary associated genes, such as RNASEL (2', 5'-oligoadenylate-dependent RNase L), could be used as a biomarker to improve the quality of life and treatment among high-risk patients. The main objective is to identify genetic variants of RNASEL that could be associated with high-risk prostate cancer to improve the clinical managing of these patients.

methodsA total of 231 prostate cancer patients were genotyped for 7 variants of RNASEL gene. Clinical information was obtained from medical examinations and genetic analysis (amplification and sequencing 7 variants of RNASEL gene) were performed by the researchers. Data were processed by statistical analysis (Chi square and logistic regression) using SPSS v.15.0.

resultsComparisons between genotypes and clinical characteristics of patients revealed that individuals with GG in D541E, AA in R462Q and AG in I97L in RNASEL gene were high-risk patients according to the European Urology Guidelines.

conclusionsGenotyping the RNASEL gene with routine diagnostic techniques could confer a more precise diagnosis of high-risk prostate cancer patients and increase the diagnostic accuracy above the current rate of 70% due to the relation between the genetic variants of RNASEL gene and the risk of this cancer.

Indexed as

BiomarkersHigh riskProstate cancerRNASEL geneStagingTreatment

Identifiers

PMID24046815
PMCPMC3773101
OpenAlexW2135236806

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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.