ArticleProstate cancer and prostatic diseases2012
Predictive value in the analysis of RNASEL genotypes in relation to prostate cancer.
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.
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6 citing papers in PubMed, 13 citations in OpenAlex.
- Metabolic syndrome and esophageal cancer risk: a systematic review and meta‑analysis.Diabetology & metabolic syndrome · 2021Review
- The Impact of African Ancestry on Prostate Cancer Disparities in the Era of Precision Medicine.Genes · 2020Review
- Confirmation of genetic variants associated with lethal prostate cancer in a cohort of men from hereditary prostate cancer families.International journal of cancer · 2015Article
- Prostate Cancer Genetics: A Review.EJIFCC · 2015Article
- The potential impact of adding genetic markers to clinical parameters in managing high-risk prostate cancer patients.SpringerPlus · 2013Article
- Mitochondrial haplogroups and polymorphisms reveal no association with sporadic prostate cancer in a southern European population.PloS one · 2012Article
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Authors and funding
8 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
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.
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