Evidence map›Paper›PMID 36834602›Full record

ArticleInternational journal of molecular sciences2023

Endocrine Disrupting Chemicals Influence Hub Genes Associated with Aggressive Prostate Cancer.

Diaaidden Alwadi, Quentin Felty, Changwon Yoo, Deodutta Roy, Alok Deoraj

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 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
3.6field-weighted citation impact, top 6% 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

10 citing papers in PubMed, 18 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

5 authors at 1 institution in 1 country.

Diaaidden AlwadiDepartment of Environmental Health Sciences, Florida International University, Miami, FL 33199, USA.
Quentin FeltyDepartment of Environmental Health Sciences, Florida International University, Miami, FL 33199, USA.
Changwon YooDepartment of Biostatistics, Florida International University, Miami, FL 33199, USA.
Deodutta RoyDepartment of Environmental Health Sciences, Florida International University, Miami, FL 33199, USA.ORCID 0000-0001-6409-1341
Alok DeorajDepartment of Environmental Health Sciences, Florida International University, Miami, FL 33199, USA.ORCID 0000-0002-3725-3971
Florida International University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Prostate cancer (PCa) is one of the most frequently diagnosed cancers among men in the world. Its prevention has been limited because of an incomplete understanding of how environmental exposures to chemicals contribute to the molecular pathogenesis of aggressive PCa. Environmental exposures to endocrine-disrupting chemicals (EDCs) may mimic hormones involved in PCa development. This research aims to identify EDCs associated with PCa hub genes and/or transcription factors (TF) of these hub genes in addition to their protein-protein interaction (PPI) network. We are expanding upon the scope of our previous work, using six PCa microarray datasets, namely, GSE46602, GSE38241, GSE69223, GSE32571, GSE55945, and GSE26126, from the NCBI/GEO, to select differentially expressed genes based on |log2FC| (fold change) ≥ 1 and an adjusted

Indexed as

Endocrine DisruptorsProstatic NeoplasmsComputational BiologyGene Expression ProfilingGene Expression Regulation, NeoplasticGene Regulatory NetworksHumansMaleMicroarray AnalysisEndocrine Disruptorsendocrine disruptive chemicalsenvironmental health risk assessmentgene ontologymolecular biomarkersprostate cancerprotein–protein interaction

Identifiers

PMID36834602
PMCPMC9959535
OpenAlexW4319317754

What Socratic 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 Socratic graph.