Evidence map›Paper›PMID 32881124›Full record

ArticleNMR in biomedicine2020

Magnetic resonance angiography reveals increased arterial blood supply and tumorigenesis following high fat feeding in a mouse model of triple-negative breast cancer.

Devkumar Mustafi, Rebecca Valek, Michael Fitch, Victoria Werner, Xiaobing Fan, Erica Markiewicz, Sully Fernandez, Marta Zamora, Jeffrey Mueller, Olufunmilayo I Olopade and 3 more

Open access · greenAbstract read
In one paragraph

Article in NMR in biomedicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 39% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. 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

13 authors at 1 institution in 1 country.

Devkumar MustafiDepartment of Radiology, The University of Chicago, Chicago, Illinois, US.ORCID 0000-0001-7826-4485
Rebecca ValekDepartment of Radiology, The University of Chicago, Chicago, Illinois, US.
Michael FitchDepartment of Radiology, The University of Chicago, Chicago, Illinois, US.
Victoria WernerDepartment of Radiology, The University of Chicago, Chicago, Illinois, US.
Xiaobing FanDepartment of Radiology, The University of Chicago, Chicago, Illinois, US.
Erica MarkiewiczDepartment of Radiology, The University of Chicago, Chicago, Illinois, US.
Sully FernandezDepartment of Medicine, Section of Adult and Pediatric Endocrinology, Diabetes and Metabolism, The University of Chicago, Chicago, Illinois, US.
Marta ZamoraDepartment of Radiology, The University of Chicago, Chicago, Illinois, US.
Jeffrey MuellerDepartment of Pathology, The University of Chicago, Chicago, Illinois, US.
Olufunmilayo I OlopadeDepartment of Medicine, Section of Hematology and Oncology, The University of Chicago, Chicago, Illinois, US.
Suzanne D ConzenDepartment of Medicine, Section of Hematology and Oncology, The University of Chicago, Chicago, Illinois, US.
Matthew J BradyDepartment of Medicine, Section of Adult and Pediatric Endocrinology, Diabetes and Metabolism, The University of Chicago, Chicago, Illinois, US.
Gregory S KarczmarDepartment of Radiology, The University of Chicago, Chicago, Illinois, US.ORCID 0000-0002-2455-5858
University of Chicago · US

Funding

VIRAL ONCOLOGY CORE FACILITYP30CA014599 · NCI · UNIVERSITY OF CHICAGO · PI KUNLE ODUNSI · 1985 to 2026
$122.1M
Pilot and Feasibility ProgramP30DK020595 · NIDDK · UNIVERSITY OF CHICAGO · PI RONALD N COHEN · 2013 to 2026
$20.9M
Quantitative MRI for Predicting Response of Breast Cancer to Neoadjuvant TherapyU01CA142565 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI KARCZMAR, GREGORY S., NANDA, RITA · 2010 to 2019
$4.5M
UChicago Interdisciplinary Cancer Health Disparities SPOREP20CA233307 · NCI · UNIVERSITY OF CHICAGO · PI LINGEN, MARK W. · 2018 to 2020
$3.4M
Breast Cancer Screening with Quantitative Ultra-Fast DCEMRI and Clinical Risk AssessmentR01CA218700 · NCI · UNIVERSITY OF CHICAGO · PI KARCZMAR, GREGORY S. · 2017 to 2021
$3.0M
Assessment of Breast Cancer Risk with High Spectral and Spatial Resolution MRIR01CA167785 · NCI · UNIVERSITY OF CHICAGO · PI KARCZMAR, GREGORY S., NEWSTEAD, GILLIAN · 2013 to 2017
$2.4M
NCI NIH HHS P20 CA233307NCI NIH HHS P30 CA014599NCI NIH HHS R01 CA167785NCI NIH HHS R01 CA218700NCI NIH HHS U01 CA142565NIDDK NIH HHS P30 DK020595
6 · The paper itself

Abstract

Breast cancer is the second most commonly diagnosed malignancy among women globally. Past MRI studies have linked a high animal fat diet (HAFD) to increased mammary cancer risk in the SV40Tag mouse model of triple-negative breast cancer. Here, serial MRI examines tumor progression and measures the arterial blood volume feeding mammary glands in low fat diet (LFD) or HAFD fed mice. Virgin female C3(1)SV40Tag mice (n = 8), weaned at 3 weeks old, were assigned to an LFD (n = 4, 3.7 kcal/g, 17.2% kcal from vegetable oil) or an HAFD (n = 4, 5.3 kcal/g, 60% kcal from lard) group. From ages 8 to 12 weeks, weekly fast spin echo MR images and time-of-flight (TOF) MR angiography of inguinal mammary glands were acquired at 9.4 T. Following in vivo MRI, mice were sacrificed. Inguinal mammary glands were excised and fixed for ex vivo MRI and histology. Tumor, blood, and mammary gland volumes for each time point were measured from manually traced regions of interest; tumors were classified as invasive by histopathology-blinded observers. Our analysis confirmed a strong correlation between total tumor volume and blood volume in the mammary gland. Tumor growth rates from weeks 8-12 were twice as high in HAFD-fed mice (0.42 ± 0.14/week) as in LFD-fed mice (0.21 ± 0.03/week), p < 0.004. Mammary gland blood volume growth rate was 2.2 times higher in HAFD mice (0.29 ± 0.11/week) compared with LFD mice (0.13 ± 0.06/week), p < 0.02. The mammary gland growth rate of HAFD-fed mice (0.071 ± 0.011/week) was 2.7 times larger than that of LFD-fed mice (0.026 ± 0.009/week), p < 0.01. This is the first non-invasive, in vivo MRI study to demonstrate a strong correlation between an HAFD and increased cancer burden and blood volume in mammary cancer without using contrast agents, strengthening the evidence supporting the adverse effects of an HAFD on mammary cancer. These results support the potential future use of TOF angiography to evaluate vasculature of suspicious lesions.

Indexed as

Diet, High-FatFeeding BehaviorMagnetic Resonance AngiographyAnimalsArteriesCarcinogenesisDisease Models, AnimalFemaleImaging, Three-DimensionalMammary Glands, AnimalMammary Neoplasms, AnimalMiceNeoplasm InvasivenessOrgan SizeRegional Blood FlowTriple Negative Breast Neoplasmshigh animal fat diet (HAFD)mouse mammary cancersMR angiographyMRItriple-negative breast cancer (TNBC)

Identifiers

PMID32881124
PMCPMC8034829
OpenAlexW3047705963

What OpenQuestion holds

Textmetadata
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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.