Evidence map›Paper›PMID 33146844›Full record

ReviewJournal of mammary gland biology and neoplasia2020

Preclinical Models to Study Obesity and Breast Cancer in Females: Considerations, Caveats, and Tools.

Erin D Giles, Elizabeth A Wellberg

Abstract readReview
In one paragraph

Review in Journal of mammary gland biology and neoplasia, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Review
  9. Article
  10. Review
  11. Article
  12. The 'omics of obesity in B-cell acute lymphoblastic leukemia.Journal of the National Cancer Institute. Monographs · 2023
    Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Review
  19. Article
  20. 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

2 authors.

Erin D Giles *Department of Nutrition, Texas A&M University, College Station, TX, USA. egiles@tamu.edu.ORCID http://orcid.org/0000-0002-8677-2831
Elizabeth A Wellberg *Department of Pathology, University of Oklahoma Health Science Center, Stephenson Cancer Center, Harold Hamm Diabetes Center, Oklahoma City, OK, USA.ORCID http://orcid.org/0000-0001-7342-390X

Funding

PILOT STUDY--SUBSTRATE METABOLISM IN EXTREMELY LOW BIRTH WEIGHT INFANTSP30DK048520 · NIDDK · UNIVERSITY OF COLORADO DENVER · PI JANINE A HIGGINS · 1995 to 2026
$32.6M
Institutional Career Development CoreKL2TR002534 · NCATS · UNIVERSITY OF COLORADO DENVER · PI BURNHAM, ELLEN L · 2018 to 2022
$4.6M
Transdisciplinary Research in Energetics and Cancer (TREC) Training GrantR25CA203650 · NCI · YALE UNIVERSITY · PI IRWIN, MELINDA L · 2016 to 2025
$2.9M
Growth Factor Signaling in Obesity Associated Breast CancerR01CA241156 · NCI · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI WELLBERG, ELIZABETH · 2019 to 2023
$1.6M
A Narrowed Window for Targeting Metabolic Flexibility in Breast Cancer PreventionR01CA164166 · NCI · UNIVERSITY OF COLORADO DENVER · PI MACLEAN, PAUL S., SCHEDIN, PEPPER J · 2013 to 2017
$1.6M
Obesity associated inflammation and postmenopausal breast cancer.R00CA169430 · NCI · TEXAS A&M AGRILIFE RESEARCH · PI GILES, ERIN · 2016 to 2018
$722k
Obesity associated inflammation and postmenopausal breast cancer.K99CA169430 · NCI · UNIVERSITY OF COLORADO DENVER · PI GILES, ERIN · 2013 to 2014
$218k
NCATS NIH HHS KL2 TR002534NCI NIH HHS CA164166NCI NIH HHS CA169430NCI NIH HHS CA203650NCI NIH HHS CA241156NCI NIH HHS K99 CA169430NCI NIH HHS R00 CA169430NCI NIH HHS R01 CA164166NCI NIH HHS R01 CA241156NCI NIH HHS R25 CA203650NIDDK NIH HHS DK48520NIDDK NIH HHS P30 DK048520Susan G. Komen CCR17483321
6 · The paper itself

Abstract

Obesity increases the risk for breast cancer and is associated with poor outcomes for cancer patients. A variety of rodent models have been used to investigate these relationships; however, key differences in experimental approaches, as well as unique aspects of rodent physiology lead to variability in how these valuable models are implemented. We combine expertise in the development and implementation of preclinical models of obesity and breast cancer to disseminate effective practices for studies that integrate these fields. In this review, we share, based on our experience, key considerations for model selection, highlighting important technical nuances and tips for use of preclinical models in studies that integrate obesity with breast cancer risk and progression. We describe relevant mouse and rat paradigms, specifically highlighting differences in breast tumor subtypes, estrogen production, and strategies to manipulate hormone levels. We also outline options for diet composition and housing environments to promote obesity in female rodents. While we have applied our experience to understanding obesity-associated breast cancer, the experimental variables we incorporate have relevance to multiple fields that investigate women's health.

Indexed as

AdiposityAnimalsBreastBreast NeoplasmsCarcinogenesisCarcinogensCell Line, TumorDietary SugarsDiet, High-FatFemaleHumansMammary Glands, AnimalMammary Neoplasms, ExperimentalMenopauseMiceMice, TransgenicCarcinogensDietary SugarsAdipose tissueBreast cancerCarcinogenDietMenopauseObesityOvariectomyPreclinical modelThermoneutralityTumor subtype

Identifiers

PMID33146844
PMCPMC8197449

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.