Evidence map›Paper›PMID 38612439›Full record

ArticleInternational journal of molecular sciences2024

Analysis of the Gene Networks and Pathways Correlated with Tissue Differentiation in Prostate Cancer.

Alexandru Filippi, Justin Aurelian, Maria-Magdalena Mocanu

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.7field-weighted citation impact, top 17% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. Molecular Research and Treatment of Urologic Cancer.International journal of molecular sciences · 2024
    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

3 authors at 1 institution in 1 country.

Alexandru FilippiDepartment of Biochemistry and Biophysics, "Carol Davila" University of Medicine and Pharmacy, 020021 Bucharest, Romania.
Justin AurelianDepartment of Specific Disciplines, "Carol Davila" University of Medicine and Pharmacy, 020021 Bucharest, Romania.ORCID 0009-0002-5478-5766
Maria-Magdalena MocanuDepartment of Biochemistry and Biophysics, "Carol Davila" University of Medicine and Pharmacy, 020021 Bucharest, Romania.
Carol Davila University of Medicine and Pharmacy · RO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Prostate cancer (PCa) is the most prevalent non-cutaneous cancer in men. Early PCa detection has been made possible by the adoption of screening methods based on the serum prostate-specific antigen and Gleason score (GS). The aim of this study was to correlate gene expression with the differentiation level of prostate adenocarcinomas, as indicated by GS. We used data from The Cancer Genome Atlas (TCGA) and included 497 prostate cancer patients, 52 of which also had normal tissue sample sequencing data. Gene ontology analysis revealed that higher GSs were associated with greater responses to DNA damage, telomere lengthening, and cell division. Positive correlation was found with transcription factor activator of the adenovirus gene

Indexed as

Gene Regulatory NetworksProstatic NeoplasmsAdenoviridaeCell CycleCell DivisionHumansMalebioinformaticsgene networksgene signatureGleason scoreprostate cancer

Identifiers

PMID38612439
PMCPMC11011430
OpenAlexW4393142957

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.