A Novel Preclinical Murine Model to Monitor Inflammatory Breast Cancer Tumor Growth and Lymphovascular Invasion

Author:

Rickard Ashlyn G.12ORCID,Sannareddy Dorababu S.3,Bennion Alexandra4,Patel Pranalee34,Sauer Scott J.3ORCID,Rouse Douglas C.5,Bouchal Samantha4,Liu Harrison2,Dewhirst Mark W.26,Palmer Gregory M.126,Devi Gayathri R.367

Affiliation:

1. Program of Medical Physics, Duke University, Durham, NC 27705, USA

2. Department of Radiation Oncology, Duke University School of Medicine, Durham, NC 27710, USA

3. Division of Surgical Sciences, Department of Surgery, Duke University School of Medicine, Durham, NC 27710, USA

4. Trinity College of Arts and Sciences, Duke University, Durham, NC 27705, USA

5. Division of Laboratory Animal Resources, Duke University School of Medicine, Durham, NC 27710, USA

6. Duke Inflammatory Breast Cancer Consortium, Duke Cancer Institute, Durham, NC 27710, USA

7. Program in Cancer Risk, Detection, and Interception, Duke Cancer Institute, Durham, NC 27710, USA

Abstract

Inflammatory breast cancer (IBC), an understudied and lethal breast cancer, is often misdiagnosed due to its unique presentation of diffuse tumor cell clusters in the skin and dermal lymphatics. Here, we describe a window chamber technique in combination with a novel transgenic mouse model that has red fluorescent lymphatics (ProxTom RFP Nu/Nu) to simulate IBC clinicopathological hallmarks. Various breast cancer cells stably transfected to express green or red fluorescent reporters were transplanted into mice bearing dorsal skinfold window chambers. Intravital fluorescence microscopy and the in vivo imaging system (IVIS) were used to serially quantify local tumor growth, motility, length density of lymph and blood vessels, and degree of tumor cell lymphatic invasion over 0–140 h. This short-term, longitudinal imaging time frame in studying transient or dynamic events of diffuse and collectively migrating tumor cells in the local environment and quantitative analysis of the tumor area, motility, and vessel characteristics can be expanded to investigate other cancer cell types exhibiting lymphovascular invasion, a key step in metastatic dissemination. It was found that these models were able to effectively track tumor cluster migration and dissemination, which is a hallmark of IBC clinically, and was recapitulated in these mouse models.

Funder

DOD-Breakthrough awards

American Cancer Society Mission Boost

The IBC Network Foundation

Duke Cancer Institute pilot funds

Duke SOM Bridge Funds

Duke Surgery Gardner Award

IBC Research Foundation

Duke Cancer Institute Optical Molecular Imaging and Analysis

Publisher

MDPI AG

Subject

Cancer Research,Oncology

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