<em>In Vivo</em> Imaging to Measure Spontaneous Lung Metastasis of Orthotopically-injected Breast Tumor Cells

Saahil Sanon; Paula D. Bos

doi:10.3791/64002

In Vivo Imaging to Measure Spontaneous Lung Metastasis of Orthotopically-injected Breast...

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Cancer Research

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JoVE Journal Cancer Research

In Vivo Imaging to Measure Spontaneous Lung Metastasis of Orthotopically-injected Breast Tumor Cells

In Vivo Imaging to Measure Spontaneous Lung Metastasis of Orthotopically-injected Breast Tumor Cells

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08:36 min

June 23, 2022

DOI: 10.3791/64002-v

Saahil Sanon¹, Paula D. Bos^1,2

¹Department of Pathology,Virginia Commonwealth University School of Medicine, ²Massey Cancer Center,Virginia Commonwealth University School of Medicine

Overview

This manuscript presents a methodology for establishing and monitoring spontaneous lung metastasis from orthotopically-injected breast tumors. The approach allows for intervention at various stages of the metastatic cascade.

Key Study Components

Area of Science

Neuroscience
Oncology
Metastasis Research

Background

Primary tumors have systemic effects that influence metastatic dissemination.
Current experimental metastasis assays often overlook these effects.
This model enables evaluation of spontaneous metastasis post-primary tumor removal.
Bioluminescence imaging is utilized for real-time monitoring of lung metastasis.

Purpose of Study

To provide a model for assessing the systemic effects of primary tumors on metastasis.
To evaluate pharmacological or genetic interventions in breast cancer.
To investigate specific signaling pathways involved in the metastatic process.

Methods Used

Orthotopic injection of breast tumors.
Surgical removal of primary tumors.
Bioluminescence imaging for monitoring metastasis.
Evaluation of interventions in the neoadjuvant setting.

Main Results

Establishment of a reliable model for studying lung metastasis.
Real-time monitoring of metastatic outgrowth.
Insights into the role of primary tumors in metastasis.
Potential for testing therapeutic strategies against breast cancer.

Conclusions

The model effectively simulates the metastatic cascade.
It provides a platform for evaluating interventions.
Further research can enhance understanding of metastatic mechanisms.

Frequently Asked Questions

What is the significance of this study?

This study provides a model to understand the systemic effects of primary tumors on metastasis, which is crucial for developing effective treatments.

How does bioluminescence imaging contribute to this research?

Bioluminescence imaging allows for real-time monitoring of lung metastasis, enhancing the ability to track tumor progression.

Can this model be used for other types of cancer?

While this study focuses on breast cancer, the methodology may be adaptable for other cancers with similar metastatic behaviors.

What interventions can be tested using this model?

Pharmacological and genetic interventions can be evaluated in the context of neoadjuvant therapy for breast cancer.

What are the implications of understanding the metastatic process?

Understanding the metastatic process can lead to better therapeutic strategies and improved patient outcomes in cancer treatment.

The manuscript describes a methodology for the establishment as well as longitudinal growth monitoring of spontaneous lung metastasis from orthotopically-injected breast tumors, amenable to intervention at all stages of the metastatic cascade.

The systemic effects of primary tumors are now recognized to play a significant role in the process of metastatic dissemination. However, this is often missed in experimental metastasis assays. This model aims to provide researchers with a way to evaluate this effect.

This protocol includes evaluation of spontaneous metastasis after the surgical removal of a primary tumor, which is clinically relevant. Mainly, it also takes advantage of bioluminescence imaging to monitor lung metastasis outgrowth in real time. This experimental setup can be extended to evaluate pharmacological or genetic interventions for breast cancer in the neoadjuvant setting, as well as the relevance of specific signaling pathways in the metastatic process.

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