Evidence map›Paper›PMID 37108754›Full record

ArticleInternational journal of molecular sciences2023

A Multigene-Panel Study Identifies Single Nucleotide Polymorphisms Associated with Prostate Cancer Risk.

Maria Antonietta Manca, Fabio Scarpa, Davide Cossu, Elena Rita Simula, Daria Sanna, Stefano Ruberto, Marta Noli, Hajra Ashraf, Tatiana Solinas, Massimo Madonia and 2 more

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.8field-weighted citation impact, top 25% 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

5 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
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

12 authors at 2 institutions in 1 country.

Maria Antonietta MancaDipartimento di Scienze Biomediche, University of Sassari, 07100 Sassari, Italy.
Fabio ScarpaDipartimento di Scienze Biomediche, University of Sassari, 07100 Sassari, Italy.ORCID 0000-0002-3501-714X
Davide CossuDipartimento di Scienze Biomediche, University of Sassari, 07100 Sassari, Italy.ORCID 0000-0002-0557-9467
Elena Rita SimulaDipartimento di Scienze Biomediche, University of Sassari, 07100 Sassari, Italy.ORCID 0000-0002-8946-2679
Daria SannaDipartimento di Scienze Biomediche, University of Sassari, 07100 Sassari, Italy.ORCID 0000-0002-3058-4663
Stefano RubertoDipartimento di Scienze Biomediche, University of Sassari, 07100 Sassari, Italy.ORCID 0000-0001-5478-999X
Marta NoliDipartimento di Scienze Biomediche, University of Sassari, 07100 Sassari, Italy.ORCID 0000-0003-1087-4871
Hajra AshrafDipartimento di Scienze Biomediche, University of Sassari, 07100 Sassari, Italy.
Tatiana SolinasDipartimento di Scienze Mediche, Chirurgiche e Sperimentali, Università di Sassari, 07100 Sassari, Italy.
Massimo MadoniaDipartimento di Scienze Mediche, Chirurgiche e Sperimentali, Università di Sassari, 07100 Sassari, Italy.
Roberto CusanoCRS4, 09010 Pula, Italy.
Leonardo A SechiDipartimento di Scienze Biomediche, University of Sassari, 07100 Sassari, Italy.ORCID 0000-0003-0566-2049
University of Sassari · ITCenter for Advanced Studies Research and Development in Sardinia · IT

Funding

regione autonoma Sardegna legge regionale 12 22 dicembre 2022 n. 22 to LAS
6 · The paper itself

Abstract

The immune system plays a critical role in modulating cancer development and progression. Polymorphisms in key genes involved in immune responses are known to affect susceptibility to cancer. Here, we analyzed 35 genes to evaluate the association between variants of genes involved in immune responses and prostate cancer risk. Thirty-five genes were analyzed in 47 patients with prostate cancer and 43 healthy controls using next-generation sequencing. Allelic and genotype frequencies were calculated in both cohorts, and a generalized linear mixed model was applied to test the relationship between prostate cancer risk and nucleotide substitution. Odds ratios were calculated to describe the association between each single nucleotide polymorphism (SNP) and prostate cancer risk. Significant changes in allelic and genotypic distributions were observed for

Indexed as

Polymorphism, Single NucleotideProstatic NeoplasmsCase-Control StudiesGenetic Predisposition to DiseaseGenotypeHumansInflammationMaleProstateGleason scoresIL2RA and TNFRSF1Bprostate cancerPSASLC11A1TNFRSF1B

Identifiers

PMID37108754
PMCPMC10142258
OpenAlexW4366774420

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.