Evidence mapPaperPMID 40943497Full record

ArticleInternational journal of molecular sciences2025

Analysis of Microarray and Single-Cell RNA-Seq Finds Gene Co-Expression and Tumor Environment Associated with Extracellular Matrix in Epithelial-Mesenchymal Transition in Prostate Cancer.

Ali Shakeri Abroudi, Mahtab Mashhouri Moghaddam, Danial Hashemi Karoii, Melika Djamali, Hossein Azizi, Thomas Skutella

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Article in International journal of molecular sciences, 2025. 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
field-weighted citation impact
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.

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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

6 authors.

Ali Shakeri AbroudiDepartment of Cellular and Molecular Biology, Faculty of Advanced Science and Technology, Tehran Medical Sciences, Islamic Azad University, Tehran 1477893855, Iran.ORCID 0009-0001-0943-1451
Mahtab Mashhouri MoghaddamDepartment of Pharmacy, Yeditepe University, Istanbul 34755, Turkey.
Danial Hashemi KaroiiDepartment of Cell and Molecular Biology, School of Biology, College of Science, University of Tehran, Tehran 1417466191, Iran.ORCID 0000-0001-6456-1200
Melika DjamaliDepartment of Biology, Faculty of Science, University of Tehran, Tehran 1417466191, Iran.
Hossein AziziDepartment of Stem Cells and Cancer, College of Biotechnology, Amol University of Special Modern Technologies, Amol 4616843133, Iran.ORCID 0000-0001-8246-595X
Thomas SkutellaInstitute for Anatomy and Cell Biology, Medical Faculty, University of Heidelberg, 69120 Heidelberg, Germany.ORCID 0000-0003-4813-1213

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A complex and gradual process, the epithelial-mesenchymal transition (EMT) occurs both during embryonic development and tumor progression. Cells undergo a transition from an epithelial to a mesenchymal state throughout this process. More and more evidence points to EMT as a cause of increased metastatic spread of prostate cancer (PCa), along with stemness enhancement and therapy resistance. Here, we used bioinformatic methods to analyze gene expression microarray data, single-cell RNA sequencing, oncogenes, and tumor suppressor genes (TSGs) in order to reconstruct the network of differentially expressed genes (DEGs) involved in the epithelial-mesenchymal transition with PCa. No prior study has documented this sort of analysis. We next validated our results using data from the Cancer Genome Atlas (TCGA), which included microarray and single-cell RNA sequencing. Potentially useful in PCa diagnosis and treatment are extracellular matrix in epithelial-mesenchymal transition genes, including

Indexed as

Epithelial-Mesenchymal TransitionExtracellular MatrixGene Expression Regulation, NeoplasticProstatic NeoplasmsTumor MicroenvironmentBiomarkers, TumorComputational BiologyGene Expression ProfilingGene Regulatory NetworksHumansMaleRNA-SeqSingle-Cell AnalysisSingle-Cell Gene Expression AnalysisBiomarkers, Tumorcell–cell communicationepithelial–mesenchymalmicroarrayprostate cancerstemness

Identifiers

PMID40943497
PMCPMC12429809

What Socratic 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 Socratic graph.