Evidence map›Paper›PMID 36207780›Full record

ArticleThe Prostate2023

CTPC, a combined transcriptome data set of human prostate cancer cell lines.

Siyuan Cheng, Xiuping Yu

Abstract read
In one paragraph

Article in The Prostate, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

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  14. PCTA, A PAN-CANCER CELL LINE TRANSCRIPTOME ATLAS.bioRxiv : the preprint server for biology · 2024
    Article
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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

2 authors.

Siyuan ChengDepartment of Biochemistry & Molecular Biology, LSU Health Shreveport, Shreveport, Louisiana, USA.ORCID 0000-0002-4931-1403
Xiuping YuDepartment of Biochemistry & Molecular Biology, LSU Health Shreveport, Shreveport, Louisiana, USA.

Funding

Androgen Deprivation Activates Wnt/Beta-Catenin Signaling in Prostate CancerR01CA226285 · NCI · LOUISIANA STATE UNIV HSC SHREVEPORT · PI YU, XIUPING · 2018 to 2022
$1.6M
NCI NIH HHS R01 CA226285
6 · The paper itself

Abstract

backgroundCell lines are the most used model system in cancer research. The transcriptomic data of established prostate cancer (PCa) cell lines help researchers explore differential gene expressions across the various PCa cell lines.

methodsThrough large scale datamining, we established a curated Combined Transcriptome dataset of PCa Cell lines (CTPC) which contains the transcriptomic data of 1840 samples of 9 commonly used PCa cell lines including LNCaP, LNCaP-95, LNCaP-abl, C4-2, VCaP, 22Rv1, PC3, DU145, and NCI-H660.

resultsThe CTPC dataset provides an opportunity for researchers to not only compare gene expression across different PCa cell lines but also retrieve the experiment information and associate the differential gene expression data with meta data, such as gene manipulation and drug treatment information. Additionally, based on the CTPC dataset, we built a platform for users to visualize the data (https://pcatools.shinyapps.io/CTPC_V2/).

conclusionsIt is our hope that the combined CTPC dataset and the user-friendly platform are of great service to the PCa research community.

Indexed as

Prostatic NeoplasmsTranscriptomeCell Line, TumorGene Expression ProfilingHumansMaleH660LNCaPneuroendocrinePC3prostatetranscriptome

Identifiers

PMID36207780
PMCPMC9771918

What OpenQuestion holds

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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.