Evidence map›Paper›PMID 36760203›Full record

ArticleThe Prostate2023

Identification of androgen response-related lncRNAs in prostate cancer.

Santhosh Kumar Karthikeyan, Nuo Xu, James E Ferguson Rd, Soroush Rais-Bahrami, Zhaohui S Qin, Upender Manne, George J Netto, Darshan S Chandrashekar, Sooryanarayana Varambally

Open access · hybridAbstract 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 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.9field-weighted citation impact, top 14% 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

8 citing papers in PubMed, 8 citations in OpenAlex.

  1. A Spatiotemporal Atlas of the Androgen Receptor Proximal Interactome.bioRxiv : the preprint server for biology · 2026
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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

9 authors at 2 institutions in 1 country.

Santhosh Kumar KarthikeyanDepartment of Pathology, University of Alabama at Birmingham, Birmingham, Alabama, USA.
Nuo XuCollat School of Business, University of Alabama at Birmingham, Birmingham, Alabama, USA.
James E Ferguson RdDepartment of Urology, University of Alabama at Birmingham, Birmingham, Alabama, USA.
Soroush Rais-BahramiDepartment of Urology, University of Alabama at Birmingham, Birmingham, Alabama, USA.
Zhaohui S QinDepartment of Biostatistics and Bioinformatics, Emory University, Atlanta, Georgia, USA.
Upender ManneDepartment of Pathology, University of Alabama at Birmingham, Birmingham, Alabama, USA.
George J NettoDepartment of Pathology, University of Alabama at Birmingham, Birmingham, Alabama, USA.
Darshan S ChandrashekarDepartment of Pathology, University of Alabama at Birmingham, Birmingham, Alabama, USA.
Sooryanarayana VaramballyDepartment of Pathology, University of Alabama at Birmingham, Birmingham, Alabama, USA.ORCID 0000-0002-2277-1127
University of Alabama at Birmingham · USEmory University · US

Funding

TRAINING AND CAREER DEVELOPMENTU54CA118948 · NCI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI UPENDER MANNE, Erica Michelle Stringer-Reasor · 2005 to 2026
$26.6M
NCI NIH HHS U54 CA118948U.S. Department of Defense W81XWH-19-1-0588
6 · The paper itself

Abstract

backgroundLong noncoding RNAs (lncRNAs) are RNA molecules with over 200 nucleotides that do not code for proteins, but are known to be widely expressed and have key roles in gene regulation and cellular functions. They are also found to be involved in the onset and development of various cancers, including prostate cancer (PCa). Since PCa are commonly driven by androgen regulated signaling, mainly stimulated pathways, identification and determining the influence of lncRNAs in androgen response is useful and necessary. LncRNAs regulated by the androgen receptor (AR) can serve as potential biomarkers for PCa. In the present study, gene expression data analysis were performed to distinguish lncRNAs related to the androgen response pathway. METHODS AND

resultsWe used publicly available RNA-sequencing and ChIP-seq data to identify lncRNAs that are associated with the androgen response pathway. Using Universal Correlation Coefficient (UCC) and Pearson Correlation Coefficient (PCC) analyses, we found 15 lncRNAs that have (a) highly correlated expression with androgen response genes in PCa and are (b) differentially expressed in the setting of treatment with an androgen agonist as well as antagonist compared to controls. Using publicly available ChIP-seq data, we investigated the role of androgen/AR axis in regulating expression of these lncRNAs. We observed AR binding in the promoter regions of 5 lncRNAs (MIR99AHG, DUBR, DRAIC, PVT1, and COLCA1), showing the direct influence of AR on their expression and highlighting their association with the androgen response pathway.

conclusionBy utilizing publicly available multiomics data and by employing in silico methods, we identified five candidate lncRNAs that are involved in the androgen response pathway. These lncRNAs should be investigated as potential biomarkers for PCa.

Indexed as

Prostatic NeoplasmsRNA, Long NoncodingAndrogensCell Line, TumorGene Expression RegulationGene Expression Regulation, NeoplasticHumansMaleReceptors, AndrogenAndrogensReceptors, AndrogenRNA, Long Noncodingandrogen response genescorrelation analysisgene expressionlong noncoding RNAmultiomic data analysisprostate cancer

Identifiers

PMID36760203
PMCPMC10038919
OpenAlexW4319826833

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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 OpenQuestion graph.