Evidence map›Paper›PMID 36571406›Full record

ArticleJournal of visualized experiments : JoVE2022

X-Ray Visualization of Intraductal Ethanol-Based Ablative Treatment for Prevention of Breast Cancer in Rat Models.

Elizabeth Kenyon, Erin Zaluzec, Katherine Powell, Maximilian Volk, Shatadru Chakravarty, Jeremy Hix, Matti Kiupel, Erik M Shapiro, Lorenzo F Sempere

Open access · greenAbstract readVideo-Audio Media
In one paragraph

Article in Journal of visualized experiments : JoVE, 2022. 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
0.2field-weighted citation impact, top 53% 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

3 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Review
  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

9 authors at 1 institution in 1 country.

Elizabeth KenyonPrecision Health Program, Michigan State University; Department of Radiology, Michigan State University.
Erin ZaluzecPrecision Health Program, Michigan State University; Department of Pharmacology & Toxicology, Michigan State University.
Katherine PowellPrecision Health Program, Michigan State University; Department of Radiology, Michigan State University.
Maximilian VolkPrecision Health Program, Michigan State University; College of Osteopathic Medicine, Michigan State University.
Shatadru ChakravartyDepartment of Radiology, Michigan State University; TechInsights Inc.
Jeremy HixDepartment of Radiology, Michigan State University; IQ Advanced Molecular Imaging Facility, Michigan State University.
Matti KiupelVeterinary Diagnostic Laboratory, College of Veterinary Medicine, Michigan State University.
Erik M ShapiroDepartment of Radiology, Michigan State University.
Lorenzo F SemperePrecision Health Program, Michigan State University; Department of Radiology, Michigan State University; semperel@msu.edu.
Michigan State University · US

Funding

Radiopaque 3D printed tissue engineered scaffolds for nerve generationR01EB029418 · NIBIB · MICHIGAN STATE UNIVERSITY · PI Erik Shapiro · 2021 to 2026
$3.2M
Image-Guided Intraductal Ablative Procedure for Primary Prevention of Breast CancerR01CA258314 · NCI · MICHIGAN STATE UNIVERSITY · PI Lorenzo Sempere · 2022 to 2026
$2.8M
Chemical ablation of ductal tree for breast cancer preventionR21CA226579 · NCI · MICHIGAN STATE UNIVERSITY · PI SEMPERE, LORENZO · 2019 to 2020
$371k
NCI NIH HHS R01 CA258314NCI NIH HHS R21 CA226579NIBIB NIH HHS R01 EB029418
6 · The paper itself

Abstract

There are still a limited number of primary interventions for prevention of breast cancer. For women at a high risk of developing breast cancer, the most effective intervention is prophylactic mastectomy. This is a drastic surgical procedure in which the mammary epithelial cells that can give rise to breast cancer are completely removed along with the surrounding tissue. The goal of this protocol is to demonstrate the feasibility of a minimally invasive intraductal procedure that could become a new primary intervention for breast cancer prevention. This local procedure would preferentially ablate mammary epithelial cells before they can become malignant. Intraductal methods to deliver solutions directly to these epithelial cells in rodent models of breast cancer have been developed at Michigan State University and elsewhere. The rat mammary gland consists of a single ductal tree that has a simpler and more linear architecture compared to the human breast. However, chemically induced rat models of breast cancer offer valuable tools for proof-of-concept studies of new preventive interventions and scalability from mouse models to humans. Here, a procedure for intraductal delivery of an ethanol-based ablative solution containing tantalum oxide nanoparticles as X-ray contrast agent and ethyl cellulose as gelling agent into the rat mammary ductal tree is described. Delivery of aqueous reagents (e.g., cytotoxic compounds, siRNAs, AdCre) by intraductal injection has been described previously in mouse and rat models. This protocol description emphasizes methodological changes and steps that pertain uniquely to delivering an ablative solution, formulation consideration to minimize local and systemic side effects of the ablative solution, and X-ray imaging for in vivo assessment of ductal tree filling. Fluoroscopy and micro-CT techniques enable to determine the success of ablative solution delivery and the extent of ductal tree filling thanks to compatibility with the tantalum-containing contrast agent.

Indexed as

Breast NeoplasmsCarcinoma, Intraductal, NoninfiltratingAnimalsContrast MediaEthanolFemaleHumansMastectomyMiceRatsX-RaysContrast MediaEthanol

Identifiers

PMID36571406
PMCPMC9876732
OpenAlexW4312041902

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.