Association of selected

Sebestyen Kovacs, Renata Szalai, Laszlo Barati, Kinga Hadzsiev

Abstract read

In one paragraph

Article in Pathology oncology research : POR, 2026. 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

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.

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

4 authors.

Sebestyen KovacsDepartment of Urology, Medical School,University of Pécs, Pécs, Hungary.

Renata SzalaiDepartment of Medical Genetics, Medical School, University of Pécs, Pécs, Hungary.

Laszlo BaratiDepartment of Medical Genetics, Medical School, University of Pécs, Pécs, Hungary.

Kinga HadzsievDepartment of Medical Genetics, Medical School, University of Pécs, Pécs, Hungary.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Prostate cancer (PCa) remains a leading malignancy among men worldwide, with inherited genetic susceptibility playing a pivotal role in its pathogenesis. Although numerous single nucleotide polymorphisms (SNPs) within immune response, inflammatory, and apoptotic pathways have been linked to PCa risk, these associations often exhibit substantial inconsistency across diverse populations. This study aimed to evaluate the association of selected polymorphisms within the Methods: This case-control study included 103 histologically confirmed prostate cancer patients and 103 healthy controls recruited at the University of Pécs Department of Urology. Genotyping of selected polymorphisms was performed by PCR and Sanger sequencing at the Department of Medical Genetics. Statistical associations were evaluated using chi-square tests, odds ratios, and logistic regression. Results: A statistically nominally significant association with prostate cancer susceptibility was observed for the Conclusion: The present study demonstrated a significant association between the

Indexed as

Biomarkers, TumorEndoribonucleasesGenetic Predisposition to DiseaseKallikreinsPolymorphism, Single NucleotideProstate-Specific AntigenProstatic NeoplasmsAgedCase-Control StudiesCohort StudiesFollow-Up StudiesGenotypeHumansHungaryMaleMiddle Aged2-5A-dependent ribonucleaseBiomarkers, TumorELAC2 protein, humanEndoribonucleasesKallikreinsKLK3 protein, humanNeoplasm ProteinsPhosphoinositide Phospholipase Cphospholipase C epsilonProstate-Specific AntigenHungarianpolymorphismprostate cancerRNASELrs486907

Identifiers

PMID42729212

DOI10.3389/pore.2026.1612550

PMCPMC13561955

What OpenQuestion holds

Textmetadata

Read underepoch 390

Registered trials

None linked

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.