Evidence map›Paper›PMID 29651417›Full record

ReviewFrontiers in cell and developmental biology2018

Aging Mouse Models Reveal Complex Tumor-Microenvironment Interactions in Cancer Progression.

Hidetoshi Mori, Robert D Cardiff, Alexander D Borowsky

Abstract readReview
In one paragraph

Review in Frontiers in cell and developmental biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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

3 authors.

Hidetoshi MoriCenter for Comparative Medicine, University of California, Davis, Davis, CA, United States.
Robert D CardiffCenter for Comparative Medicine, University of California, Davis, Davis, CA, United States.
Alexander D BorowskyCenter for Comparative Medicine, University of California, Davis, Davis, CA, United States.

Funding

Elucidating the molecular and contextual basis for IDLE ultralow risk lesions and the tumor immune microenvironment of high risk in situ and invasive breast cancersU01CA196406 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI BOROWSKY, ALEXANDER D, ESSERMAN, LAURA J · 2015 to 2020
$5.8M
Translational Insights into Estrogen Receptor alpha-Positive Luminal Breast CanceU01CA141541 · NCI · WASHINGTON UNIVERSITY · PI CARDIFF, ROBERT D, SCHREIBER, ROBERT DAVID · 2009 to 2013
$3.8M
The Center for Translational Genomic PhenotypingU01CA141582 · NCI · UNIVERSITY OF CALIFORNIA AT DAVIS · PI CARDIFF, ROBERT D, CHERRY, SIMON R · 2009 to 2013
$3.5M
NCI NIH HHS U01 CA141541NCI NIH HHS U01 CA141582NCI NIH HHS U01 CA196406
6 · The paper itself

Abstract

Mouse models and genetically engineered mouse models (GEMM) are essential experimental tools for the understanding molecular mechanisms within complex biological systems. GEMM are especially useful for inferencing phenocopy information to genetic human diseases such as breast cancer. Human breast cancer modeling in mice most commonly employs mammary epithelial-specific promoters to investigate gene function(s) and, in particular, putative oncogenes. Models are specifically useful in the mammary epithelial cell in the context of the complete mammary gland environment. Gene targeted knockout mice including conditional targeting to specific mammary cells can reveal developmental defects in mammary organogenesis and demonstrate the importance of putative tumor suppressor genes. Some of these models demonstrate a non-traditional type of tumor suppression which involves interplay between the tumor susceptible cell and its host/environment. These GEMM help to reveal the processes of cancer progression beyond those intrinsic to cancer cells. Furthermore, the, analysis of mouse models requires appropriate consideration of mouse strain, background, and environmental factors. In this review, we compare aging-related factors in mouse models for breast cancer. We introduce databases of GEMM attributes and colony functional variations.

Indexed as

aginggene knockout micegenetically engineered mouse models (GEMMs)mammary tumorigenesismouse strain

Identifiers

PMID29651417
PMCPMC5884881

What OpenQuestion holds

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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.