Evidence map›Paper›PMID 39741355›Full record

ArticleBMC research notes2024

Comparison of baseline global gene expression profiles of prostate cancer cell lines LNCaP and DU145.

Khalid Ahmed, Zhannur Omarova, Alisalman Sheikh, Gulzhan Abuova, Kulsoom Ghias, Syed Hani Abidi

Abstract readComparative Study
In one paragraph

Article in BMC research notes, 2024. 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.

  1. Article
  2. Article
  3. Article
  4. International journal of molecular sciences · 2025
    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

6 authors.

Khalid Ahmed *Department of Biological and Biomedical Sciences, Aga Khan University, Karachi, Pakistan.
Zhannur Omarova *Department of Biomedical Sciences, Nazarbayev University School of Medicine, Astana, Kazakhstan.
Alisalman SheikhDepartment of Biological and Biomedical Sciences, Aga Khan University, Karachi, Pakistan.
Gulzhan AbuovaSouth Kazakhstan Medical Academy, Shymkent, Kazakhstan.
Kulsoom GhiasDepartment of Biological and Biomedical Sciences, Aga Khan University, Karachi, Pakistan.
Syed Hani AbidiDepartment of Biological and Biomedical Sciences, Aga Khan University, Karachi, Pakistan. m.haniabidi@gmail.com.

Funding

Nazarbayev University 111024CRP2013
6 · The paper itself

Abstract

introductionDU145 and LNCaP are classic prostate cancer cell lines. Characterizing their baseline transcriptomics profiles (without any intervention) can offer insights into baseline genetic features and oncogenic pathways that should be considered while interpreting findings after various experimental interventions such as exogenous gene transfection or drug treatment.

methodsLNCaP and DU145 cell lines were cultured under normal conditions, followed by RNA extraction, cDNA conversion, library preparation, and RNA sequencing using the Illumina NovaSeq platform. The sequences were analyzed to identify differentially expressed genes (DEGs) and for gene ontology (GO) and pathway enrichment.

resultsA total of 3916 and 2301 genes were found to be differentially upregulated and downregulated between LNCaP and DU145 cell lines, respectively. The GO and pathway analysis of up-regulated DEGs indicated significant enrichment of genes involved in extracellular matrix organization and cell-substrate adhesion, while down-regulated genes are involved in epithelial cell migration, cell death regulation, and cell proliferation.

conclusionThe results showed significant differences in baseline gene expression and cellular pathways that may account for the varying metastatic potentials between LNCaP and DU145 cell lines, which should be considered when interpreting findings after experimental interventions.

Indexed as

Gene Expression ProfilingGene Expression Regulation, NeoplasticProstatic NeoplasmsTranscriptomeCell Line, TumorGene OntologyHumansMaleCell linesDU145LNCaPProstate cancerRNASeq

Identifiers

PMID39741355
PMCPMC11689513

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