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Updated: Jun 19, 2025
An Orthotopic Mouse Model of Spontaneous Breast Cancer Metastasis
Published on: August 14, 2016
A Novel Method for the Early Detection of Single Circulating, Metastatic and Self-Seeding Cancer Cells in Orthotopic
Muhammad Murad1, Yanjiang Chen1,2, Josephine Iaria1,2
1Department of Surgery, The Royal Melbourne Hospital, The University of Melbourne, 5th Floor Clinical Sciences Building, Parkville, VIC 3050, Australia.
Background:
Metastasis is the main cause of cancer-related deaths, but efficient targeted therapies against metastasis are still missing. Major gaps exist in our understanding of the metastatic cascade, as existing methods cannot combine sensitivity, robustness, and practicality to dissect cancer progression. Addressing this issue requires improved strategies to distinguish early metastatic colonization from metastatic outgrowth.
Methods:
Luciferase-labelled MDA-MB-231, MCF7, and 4T1 breast cancer cells were spiked into samples from tumour-naïve mice to establish the limit of detection for disseminated tumour cells. Luciferase-labelled breast cancer cells (±unlabelled cancer-associated fibroblasts; CAFs) were orthotopically implanted in immunocompromised mice. An ex vivo luciferase assay was used to quantify tumour cell dissemination.
Results:
In vitro luciferase assay confirmed a linear and positive correlation between cancer cell numbers and the bioluminescence detected at single cell level in blood, brain, lung, liver, and mammary fat pad samples. Remarkably, single luciferase-labelled cancer cells were detectable in all of these sites, as the bioluminescence quantified in the analysed samples was substantially higher than background levels. Ex vivo, circulating tumour cells, metastasis, and tumour self-seeding were detected in all samples from animals implanted with highly metastatic luciferase-labelled MDA-MB-231 cells. In turn, detection of poorly metastatic luciferase-labelled MCF7 cells was scarce but significantly enhanced upon co-implantation with CAFs as early as 20 days after the experiment was initiated.
Conclusions:
These results demonstrate the feasibility of using an ultrasensitive luciferase-based method to dissect the mechanisms of early metastatic colonization to improving the development of antimetastatic therapies.
Insights
This study introduces an ultrasensitive luciferase assay to detect single cancer cells, advancing the understanding of early metastasis. This method aids in developing targeted therapies against cancer spread and improving patient outcomes.
Area of Science:
- Oncology
- Biotechnology
- Cancer Research
Background:
- Metastasis is a leading cause of cancer mortality, yet effective targeted therapies remain elusive.
- Current methods lack the sensitivity, robustness, and practicality to fully understand the metastatic cascade.
- Distinguishing early metastatic colonization from outgrowth is crucial for developing antimetastatic strategies.
Purpose of the Study:
- To develop and validate an ultrasensitive method for detecting early-stage metastatic cancer cells.
- To improve the understanding of cancer cell dissemination and colonization mechanisms.
- To facilitate the development of novel antimetastatic therapies.
Main Methods:
- Utilized luciferase-labeled breast cancer cell lines (MDA-MB-231, MCF7, 4T1) spiked into various mouse tissues.
- Employed an ex vivo luciferase assay to quantify disseminated tumor cells and metastasis.
- Investigated the role of cancer-associated fibroblasts (CAFs) in enhancing tumor cell detection.
Main Results:
- Demonstrated a linear correlation between cancer cell number and bioluminescence at the single-cell level across multiple organs.
- Successfully detected single luciferase-labeled cancer cells in blood, brain, lung, liver, and mammary fat pad samples.
- Showcased the ability to detect circulating tumor cells, metastasis, and tumor self-seeding, with CAF co-implantation enhancing detection of poorly metastatic cells.
Conclusions:
- Validated an ultrasensitive luciferase-based assay for dissecting early metastatic colonization mechanisms.
- The method shows feasibility for improving the development of targeted antimetastatic therapies.
- Provides a sensitive tool for studying cancer progression and therapeutic resistance.
