Evidence map›Paper›PMID 29661807›Full record

ReviewCold Spring Harbor perspectives in medicine2019

Genetically Engineered Mouse Models of Prostate Cancer in the Postgenomic Era.

Juan M Arriaga, Cory Abate-Shen

Open access · bronzeAbstract readReview
In one paragraph

Review in Cold Spring Harbor perspectives in medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing 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

36 citing papers in PubMed, 54 citations in OpenAlex.

  1. Article
  2. Cellular cartography reveals mouse prostate organization and determinants of castration resistance.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  3. Article
  4. ATAD2 Drives Prostate Cancer Progression to Metastasis.Molecular cancer research : MCR · 2025
    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 at 1 institution in 1 country.

Juan M ArriagaDepartments of Urology, Medicine, Systems Biology, and Pathology and Cell Biology, Herbert Irving Comprehensive Cancer Center, Columbia University Medical Center, New York, New York 10032.
Cory Abate-ShenDepartments of Urology, Medicine, Systems Biology, and Pathology and Cell Biology, Herbert Irving Comprehensive Cancer Center, Columbia University Medical Center, New York, New York 10032.
Columbia University Irving Medical Center · US

Funding

Preclinical analyses of advanced prostate cancer in genetically-engineered miceR01CA173481 · NCI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Cory Abate-Shen · 2013 to 2026
$6.1M
Molecular mechanisms of prostate cancer metastasisR01CA183929 · NCI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI ABATE-SHEN, CORY · 2015 to 2025
$4.1M
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
NCI NIH HHS R01 CA173481NCI NIH HHS R01 CA183929NCI NIH HHS R01 CA196662
6 · The paper itself

Abstract

Recent genomic sequencing analyses have unveiled the spectrum of genomic alterations that occur in primary and advanced prostate cancer, raising the question of whether the corresponding genes are functionally relevant for prostate tumorigenesis, and whether such functions are associated with particular disease stages. In this review, we describe genetically engineered mouse models (GEMMs) of prostate cancer, focusing on those that model genomic alterations known to occur in human prostate cancer. We consider whether the phenotypes of GEMMs based on gain or loss of function of the relevant genes provide reliable counterparts to study the predicted consequences of the corresponding genomic alterations as occur in human prostate cancer, and we discuss exceptions in which the GEMMs do not fully emulate the expected phenotypes. Last, we highlight future directions for the generation of new GEMMs of prostate cancer and consider how we can use GEMMs most effectively to decipher the biological and molecular mechanisms of disease progression, as well as to tackle clinically relevant questions.

Indexed as

Disease Models, AnimalAdenocarcinomaAnimalsDisease ProgressionGenetic EngineeringHumansMaleMiceNeoplasm InvasivenessProstate-Specific AntigenProstatic NeoplasmsProstate-Specific Antigen

Identifiers

PMID29661807
PMCPMC6360869
OpenAlexW2799940881

What OpenQuestion holds

Textmetadata
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.