Evidence map›Paper›PMID 28385453›Full record

ArticleEuropean urology2017

Co-clinical Analysis of a Genetically Engineered Mouse Model and Human Prostate Cancer Reveals Significance of NKX3.1 Expression for Response to 5α-reductase Inhibition.

Aditya Dutta, Sukanya Panja, Renu K Virk, Jaime Yeji Kim, Roseann Zott, Serge Cremers, David M Golombos, Deli Liu, Juan Miguel Mosquera, Elahe A Mostaghel and 3 more

Abstract read
In one paragraph

Article in European urology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.8field-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

11 citing papers in PubMed, 22 citations in OpenAlex.

  1. Review
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  5. Exploring liver cancer biology through functional genetic screens.Nature reviews. Gastroenterology & hepatology · 2021
    Review
  6. Article
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  11. Cooperation of loss ofDisease models & mechanisms · 2018
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors at 5 institutions in 1 country.

Aditya DuttaDepartments of Medicine and Urology, Institute of Cancer Genetics, Herbert Irving Comprehensive Cancer Center, Columbia University Medical Center, New York, NY, USA.
Sukanya PanjaDepartment of Health Informatics, Rutgers School of Health Professions, Rutgers Biomedical and Health Sciences, Newark, NJ, USA.
Renu K VirkDepartment of Pathology and Cell Biology, Columbia University Medical Center, NY, USA.
Jaime Yeji KimDepartment of Medicine, Herbert Irving Comprehensive Cancer Center, Columbia University Medical Center, New York, NY, USA.
Roseann ZottThe Irving Institute for Clinical and Translational Medicine, Columbia University Medical Center, New York, NY, USA.
Serge CremersDepartments of Pathology & Cell Biology and Medicine, The Irving Institute for Clinical and Translational Medicine, Columbia University Medical Center, New York, NY, USA.
David M GolombosDepartment of Urology, Weill Cornell Medicine, New York, NY, USA.
Deli LiuDepartment of Urology, HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medical College, New York, New York, USA.
Juan Miguel MosqueraDepartment of Pathology and Laboratory Medicine, Englander Institute for Precision Medicine, Weill Cornell Medicine and New York-Presbyterian Hospital, New York, NY, USA.
Elahe A MostaghelClinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
Christopher E BarbieriDepartment of Urology, Sandra and Edward Meyer Cancer Center, Weill Cornell Medicine, New York, NY, USA.
Antonina MitrofanovaDepartment of Health Informatics, Rutgers School of Health Professions, Rutgers Biomedical and Health Sciences, Newark, NJ, USA. Electronic address: antonina.mitrofanova@rutgers.edu.
Cory Abate-ShenDepartments of Urology, Medicine, Pathology & Cell Biology, and Systems Biology, Institute of Cancer Genetics, Herbert Irving Comprehensive Cancer Center, Columbia University Medical Center, New York, NY, USA. Electronic address: cabateshen@columbia.edu.
Columbia University Irving Medical Center · USCornell University · USRutgers, The State University of New Jersey · USFred Hutch Cancer Center · USWeill Cornell Medicine · US

Funding

Tumor Biology and Microenvironment ProgramP30CA013696 · NCI · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI Anil K Rustgi · 1985 to 2026
$115.3M
Clinical and Translational Science AwardUL1TR001873 · NCATS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI REILLY, MUREDACH P · 2016 to 2025
$99.0M
TRANSCRIPTOME AND PROTEOME STRATIFICATION OF PROSTATE ADENOCARCINOMA PHENOTYPESP50CA097186 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI PETER S NELSON · 2002 to 2026
$58.1M
Clinical and Translational Science AwardUL1TR000040 · NCATS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI GINSBERG, HENRY N · 2012 to 2015
$26.2M
Roles for Nkx3.1 in Prostate Cancer InitiationP01CA154293 · NCI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI SHEN, MICHAEL M. · 2011 to 2015
$6.5M
Preclinical analyses of advanced prostate cancer in genetically-engineered miceR01CA173481 · NCI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Cory Abate-Shen · 2013 to 2026
$6.1M
Leadership Component in Chemoprevention: Mouse Models of Human Cancer ConsortiumU01CA141535 · NCI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI ABATE-SHEN, CORY · 2009 to 2013
$2.0M
Analysis of drug response in organoids and mouse modelsR01CA196662 · NCI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI ABATE-SHEN, CORY, SHEN, MICHAEL M. · 2016 to 2018
$1.8M
Genomic instability and DNA repair in a distinct molecular class of prostate cancK08CA187417 · NCI · WEILL MEDICAL COLL OF CORNELL UNIV · PI BARBIERI, CHRISTOPHER E · 2014 to 2018
$865k
NCATS NIH HHS UL1 TR000040NCATS NIH HHS UL1 TR001873NCI NIH HHS K08 CA187417NCI NIH HHS P01 CA154293NCI NIH HHS P30 CA013696NCI NIH HHS P50 CA097186NCI NIH HHS R01 CA173481NCI NIH HHS R01 CA196662NCI NIH HHS U01 CA141535
6 · The paper itself

Abstract

backgroundAlthough men on active surveillance for prostate cancer (PCa) may benefit from intervention with 5α-reductase inhibitors (5-ARIs), it has not been resolved whether 5-ARIs are effective for delaying disease progression and, if so, whether specific patients are more likely to benefit.

objectiveTo identify molecular features predictive of patient response to 5-ARIs. DESIGN, SETTING, AND

participantsNkx3.1 mutant mice, a model of early-stage PCa, were treated with the 5-ARI finasteride, and histopathological and molecular analyses were performed. Cross-species computational analyses were used to compare expression profiles for treated mice with those of patients who had received 5-ARIs before prostatectomy.

interventionFinasteride administered to Nkx3.1 mutant mice. 5-ARI-treated patient specimens obtained retrospectively. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS: Endpoints in mice included histopathology, immunohistochemistry, and molecular profiling. GraphPad Prism software, R-studio, and Matlab were used for statistical and data analyses. RESULTS AND LIMITATIONS: Finasteride treatment of Nkx3.1 mutant mice resulted in a significant reduction in prostatic intraepithelial neoplasia (PIN), as evident from histopathological and expression profiling analyses. Cross-species computational analysis comparing finasteride-treated mice with two independent 5-ARI-treated patient cohorts showed that reduced NKX3.1 expression is predictive of response to 5-ARI. A limitation of the study is that these retrospective human cohorts have relatively few patients with limited clinical outcome data. Future prospective clinical trials are needed to validate whether stratifying patients on the basis of NKX3.1 expression improves the benefit of 5-ARIs during active surveillance.

conclusionsThis co-clinical study implicates NKX3.1 status as a predictor of response to 5-ARIs, and suggests that molecular features, including NKX3.1 expression, may help to identify PCa patients most likely to benefit from 5-ARIs during active surveillance. PATIENT SUMMARY: The aim of precision cancer prevention is to tailor interventions on the basis of individualized patient characteristics. We propose that patients with low NKX3.1 expression are optimal candidates for intervention with 5α-reductase inhibitors as an adjunct to active surveillance.

Indexed as

Mutation5-alpha Reductase InhibitorsAgedAnimalsBiomarkers, TumorChemotherapy, AdjuvantClinical Decision-MakingDNA Mutational AnalysisDutasterideFinasterideHomeodomain ProteinsHumansMaleMice, KnockoutMiddle AgedNeoadjuvant Therapy5-alpha Reductase InhibitorsBiomarkers, TumorDutasterideFinasterideHomeodomain ProteinsNKX3-1 protein, humanNkx3-1 protein, mouseTranscription Factors5α-Reductase inhibitorsActive surveillanceChemopreventionDutasterideFinasterideNKX3.1Precision cancer preventionProstate cancer

Identifiers

PMID28385453
PMCPMC5600823
OpenAlexW2605056318

What OpenQuestion holds

Textmetadata
LicenceTDM
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 OpenQuestion graph.