Evidence map›Paper›PMID 36581341›Full record

ArticleCancer genomics & proteomics

Translational Research for Identifying Potential Early-stage Prostate Cancer Biomarkers.

Noriko Nakamura, Paul Rogers, Rémelle Eggerson, Steven R Post, Rodney Davis

Open access · diamondAbstract read
In one paragraph

Article in Cancer genomics & proteomics. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 34% 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

4 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
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  3. Review
  4. 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

5 authors at 2 institutions in 1 country.

Noriko NakamuraDivision of Systems Biology, National Center for Toxicological Research, U.S. Food and Drug Administration, Jefferson, AR, U.S.A.; noriko.nakamura@fda.hhs.gov.
Paul RogersDivision of Bioinformatics and Biostatistics, National Center for Toxicological Research, U.S. Food and Drug Administration, Jefferson, AR, U.S.A.
Rémelle EggersonDepartment of Pathology, College of Medicine, University of Arkansas for Medical Sciences, Little Rock, AR, U.S.A.
Steven R PostDepartment of Pathology, College of Medicine, University of Arkansas for Medical Sciences, Little Rock, AR, U.S.A.
Rodney DavisDepartment of Urology, College of Medicine, University of Arkansas for Medical Sciences, Little Rock, AR, U.S.A.
University of Arkansas for Medical Sciences · USNational Center for Toxicological Research · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

aimProstate cancer (PCa) is one of the most common types of cancer in men. Prostate-specific antigen (PSA) is currently the only biomarker used to screen for the risk of developing PCa. Because PSA tests may show false positives, identifying novel PCa-specific biomarkers would improve prediction and diagnosis at an early stage. Previously, we identified a number of genes/microRNAs (miRNAs) in prostate tissue as potential biomarkers of chronic prostatitis in a rat model of chemical-induced prostatitis. The current study aimed to evaluate their potential for use as translational, diagnostic markers in humans. MATERIALS AND

methodsWe performed quantitative polymerase chain reaction analysis using pathologically clear (normal) or confirmed PCa tissue samples from the same patients (N=18 per group).

resultsLevels (relative fold changes) of bone morphogenetic protein 7 (BMP7) transcripts were significantly lower in PCa tissues, compared with clear tissues, in a paired t-test (p=0.0075). Although neural cell adhesion molecule 1 (NCAM1) transcripts tended to be altered in PCa tissues, statistically insignificant differences were observed (p=0.0521). No statistically significant differences were observed for the other genes/miRNAs analyzed in PCa tissues due to a high degree of individual variance in expression.

conclusionSimilar to the results previously observed in rats, changes in the levels of BMP7 and NCAM1 transcripts were evident in human PCa tissues, suggesting that these genes may serve as potential diagnostic biomarkers during the early stages of PCa. Further studies are needed to determine the potential use of these molecules as biomarkers.

Indexed as

MicroRNAsProstatic NeoplasmsProstatitisAnimalsBiomarkers, TumorHumansMaleProstateProstate-Specific AntigenRatsTranslational Research, BiomedicalBiomarkers, TumorMicroRNAsProstate-Specific Antigenchronic prostatitisgenesHumansprostate cancer tissuesprostatitisrats

Identifiers

PMID36581341
PMCPMC9806668
OpenAlexW4313424404

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.