Evidence map›Paper›PMID 38735382›Full record

ReviewCancer letters2024

Diverse landscape of genetically engineered mouse models: Genomic and molecular insights into prostate cancer.

Jyoti B Kaushal, Simran Takkar, Surinder K Batra, Jawed A Siddiqui

Abstract readReview
In one paragraph

Review in Cancer letters, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Tumor-microenvironment-on-a-chip: the construction and application.Cell communication and signaling : CCS · 2024
    Review
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

4 authors.

Jyoti B KaushalDepartment of Biochemistry and Molecular Biology, University of Nebraska Medical Center, Omaha, NE-68198, USA.
Simran TakkarDepartment of Biochemistry and Molecular Biology, University of Nebraska Medical Center, Omaha, NE-68198, USA.
Surinder K BatraDepartment of Biochemistry and Molecular Biology, University of Nebraska Medical Center, Omaha, NE-68198, USA; Fred and Pamela Buffett Cancer Center, University of Nebraska Medical Center, Omaha, NE-68198, USA; Eppley Institute for Research in Cancer and Allied Diseases, University of Nebraska Medical Center, Omaha, NE-68198, USA. Electronic address: sbatra@unmc.edu.
Jawed A SiddiquiDepartment of Biochemistry and Molecular Biology, University of Nebraska Medical Center, Omaha, NE-68198, USA; Fred and Pamela Buffett Cancer Center, University of Nebraska Medical Center, Omaha, NE-68198, USA. Electronic address: jawed.siddiqui@unmc.edu.

Funding

MIC-1 and its functional partners in prostate cancer racial disparityU01CA185148 · NCI · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI BATRA, SURINDER K. · 2015 to 2019
$1.6M
NCI NIH HHS U01 CA185148
6 · The paper itself

Abstract

Prostate cancer (PCa) is a significant health concern for men worldwide and is particularly prevalent in the United States. It is a complex disease presenting different molecular subtypes and varying degrees of aggressiveness. Transgenic/genetically engineered mouse models (GEMMs) greatly enhanced our understanding of the intricate molecular processes that underlie PCa progression and have offered valuable insights into potential therapeutic targets for this disease. The integration of whole-exome and whole-genome sequencing, along with expression profiling, has played a pivotal role in advancing GEMMs by facilitating the identification of genetic alterations driving PCa development. This review focuses on genetically modified mice classified into the first and second generations of PCa models. We summarize whether models created by manipulating the function of specific genes replicate the consequences of genomic alterations observed in human PCa, including early and later disease stages. We discuss cases where GEMMs did not fully exhibit the expected human PCa phenotypes and possible causes of the failure. Here, we summarize the comprehensive understanding, recent advances, strengths and limitations of the GEMMs in advancing our insights into PCa, offering genetic and molecular perspectives for developing novel GEMM models.

Indexed as

Disease Models, AnimalMice, TransgenicProstatic NeoplasmsAnimalsGenetic EngineeringGenomicsHumansMaleMiceGEMMsGenesGenomic alterationsProstate cancerTransgenic mice

Identifiers

PMID38735382
PMCPMC11799897

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.