Monitoring Progression of Ductal Carcinoma In Situ Using Photoacoustics and Contrast-Enhanced Ultrasound.


Journal

Translational oncology
ISSN: 1936-5233
Titre abrégé: Transl Oncol
Pays: United States
ID NLM: 101472619

Informations de publication

Date de publication:
Jul 2019
Historique:
received: 24 04 2019
accepted: 28 04 2019
pubmed: 24 5 2019
medline: 24 5 2019
entrez: 24 5 2019
Statut: ppublish

Résumé

Breast cancer is the leading form of cancer in women, accounting for approximately 41,400 deaths in 2018. While a variety of risk factors have been identified, physical exercise has been linked to reducing both the risk and aggressiveness of breast cancer. Within breast cancer, ductal carcinoma in situ (DCIS) is a common finding. However, less than 25% of DCIS tumors actually progress into invasive breast cancer, resulting in overtreatment. This overtreatment is due to a lack of predictive precursors to assess aggressiveness and development of DCIS. We hypothesize that tissue oxygenation and perfusion measured by photoacoustic and contrast-enhanced ultrasound imaging, respectively, can predict DCIS aggressiveness. To test this, 20 FVB/NJ and 20 SV40Tag mice that genetically develop DCIS-like breast cancers were divided evenly into exercise and control groups and imaged over the course of 6 weeks. Tissue oxygenation was a predictive precursor to invasive breast cancer for FVB/NJ mice (P = 0.015) in the early stages of tumor development. Meanwhile, perfusion results were inconclusive (P > 0.2) as a marker for disease progression. Moreover, voluntary physical exercise resulted in lower weekly tumor growth and significantly improved median survival (P = 0.014).

Identifiants

pubmed: 31121489
pii: S1936-5233(19)30187-1
doi: 10.1016/j.tranon.2019.04.018
pmc: PMC6529783
pii:
doi:

Types de publication

Journal Article

Langues

eng

Pagination

973-980

Subventions

Organisme : NIH HHS
ID : S10 OD010408
Pays : United States

Informations de copyright

Copyright © 2019 The Authors. Published by Elsevier Inc. All rights reserved.

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Auteurs

Ryan Margolis (R)

Department of Radiology, Thomas Jefferson University, Philadelphia, PA 19107, USA.

Corinne Wessner (C)

Department of Radiology, Thomas Jefferson University, Philadelphia, PA 19107, USA.

Maria Stanczak (M)

Department of Radiology, Thomas Jefferson University, Philadelphia, PA 19107, USA.

Ji-Bin Liu (JB)

Department of Radiology, Thomas Jefferson University, Philadelphia, PA 19107, USA.

Jingzhi Li (J)

Department of Radiology, Thomas Jefferson University, Philadelphia, PA 19107, USA.

Kibo Nam (K)

Department of Radiology, Thomas Jefferson University, Philadelphia, PA 19107, USA.

Flemming Forsberg (F)

Department of Radiology, Thomas Jefferson University, Philadelphia, PA 19107, USA.

John R Eisenbrey (JR)

Department of Radiology, Thomas Jefferson University, Philadelphia, PA 19107, USA. Electronic address: john.eisenbrey@jefferson.edu.

Classifications MeSH