Evidence map›Paper›PMID 37239316›Full record

ArticleGenes2023

Prognostic Values of Gene Copy Number Alterations in Prostate Cancer.

Abdulaziz Alfahed, Henry Okuchukwu Ebili, Nasser Eissa Almoammar, Glowi Alasiri, Osama A AlKhamees, Jehad A Aldali, Ayoub Al Othaim, Zaki H Hakami, Abdulhadi M Abdulwahed, Hisham Ali Waggiallah

Open access · goldAbstract read
In one paragraph

Article in Genes, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

7 citing papers in PubMed, 12 citations in OpenAlex.

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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

10 authors at 6 institutions in 2 countries.

Abdulaziz AlfahedDepartment of Medical Laboratory Sciences, College of Applied Medical Sciences, Prince Sattam Bin Abdulaziz University, Alkharj 11942, Saudi Arabia.ORCID 0000-0001-7961-343X
Henry Okuchukwu EbiliDepartment of Morbid Anatomy and Histopathology, Olabisi Onabanjo University, Ago-Iwoye P.M.B. 2002, Nigeria.ORCID 0000-0002-2135-1796
Nasser Eissa AlmoammarDepartment of Medical Laboratory Sciences, College of Applied Medical Sciences, Prince Sattam Bin Abdulaziz University, Alkharj 11942, Saudi Arabia.
Glowi AlasiriDepartment of Biochemistry, College of Medicine, Imam Mohammad Ibn Saud University, Riyadh 13317, Saudi Arabia.ORCID 0000-0002-8717-9458
Osama A AlKhameesDepartment of Pharmacology, College of Medicine, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh 13317, Saudi Arabia.ORCID 0000-0001-9974-9246
Jehad A AldaliDepartment of Pathology, College of Medicine, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh 13317, Saudi Arabia.
Ayoub Al OthaimDepartment of Medical Laboratories, College of Applied Medical Sciences, Majmaah University, Al-Majmaah 11952, Saudi Arabia.
Zaki H HakamiMedical Laboratory Technology Department, College of Applied Medical Sciences, Jazan University, Jazan 82817, Saudi Arabia.ORCID 0000-0001-7311-2140
Abdulhadi M AbdulwahedDepartment of Clinical Laboratory Sciences, College of Applied Medical Sciences, King Saud University, Riyadh 11362, Saudi Arabia.
Hisham Ali WaggiallahDepartment of Medical Laboratory Sciences, College of Applied Medical Sciences, Prince Sattam Bin Abdulaziz University, Alkharj 11942, Saudi Arabia.ORCID 0000-0001-6591-1831
Imam Mohammad ibn Saud Islamic University · SAPrince Sattam Bin Abdulaziz University · SAJazan University · SAKing Saud University · SAMajmaah University · SAOlabisi Onabanjo University · NG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Whilst risk prediction for individual prostate cancer (PCa) cases is of a high priority, the current risk stratification indices for PCa management have severe limitations. This study aimed to identify gene copy number alterations (CNAs) with prognostic values and to determine if any combination of gene CNAs could have risk stratification potentials. Clinical and genomic data of 500 PCa cases from the Cancer Genome Atlas stable were retrieved from the Genomic Data Commons and cBioPortal databases. The CNA statuses of a total of 52 genetic markers, including 21 novel markers and 31 previously identified potential prognostic markers, were tested for prognostic significance. The CNA statuses of a total of 51/52 genetic markers were significantly associated with advanced disease at an odds ratio threshold of ≥1.5 or ≤0.667. Moreover, a Kaplan-Meier test identified 27/52 marker CNAs which correlated with disease progression. A Cox Regression analysis showed that the amplification of

Indexed as

MicroRNAsProstatic NeoplasmsDNA Copy Number VariationsGene DosageGenetic MarkersHumansMaleNuclear ProteinsPrognosisRepressor ProteinsGenetic MarkersMicroRNAsMIRN602 microRNA, humanNuclear ProteinsRepressor ProteinsSPOP protein, humanadvanced diseasegene copy number alterationslocalised diseaseprogression-free survivalprostate cancerrisk stratification

Identifiers

PMID37239316
PMCPMC10217731
OpenAlexW4366829448

What OpenQuestion holds

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Registered trials

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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.