Molecular Imaging Reveals a High Degree of Cross-Seeding of Spontaneous Metastases in a Novel Mouse Model of Synchronous Bilateral Breast Cancer
Purpose Synchronous bilateral breast cancer (SBBC) patients present with cancer in both breasts at the time of diagnosis or within a short time interval. They show higher rates of metastasis and lower overall survival compared to women with unilateral breast cancer. Here we established the first pre...
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Veröffentlicht in: | Molecular imaging and biology 2022-02, Vol.24 (1), p.104-114 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | Purpose
Synchronous bilateral breast cancer (SBBC) patients present with cancer in both breasts at the time of diagnosis or within a short time interval. They show higher rates of metastasis and lower overall survival compared to women with unilateral breast cancer. Here we established the first preclinical SBBC model and used molecular imaging to visualize the patterns of metastasis from each primary tumor.
Procedures
We engineered human breast cancer cells to express either Akaluc or Antares2 for bioluminescence imaging (BLI) and tdTomato or zsGreen for
ex vivo
fluorescence microscopy. Both cell populations were implanted into contralateral mammary fat pads of mice (
n
=10), and dual-BLI was performed weekly for up to day 29 (
n
=3), 38 (
n
=4), or 42 (
n
=3). Primary tumors and lungs were fixed, and
ex vivo
fluorescence microscopy was used to analyze the cellular makeup of micrometastases.
Results
Signal from both Antares2 and Akaluc was first detected in the lungs on day 28 and was present in 9 of 10 mice at endpoint. Ex vivo fluorescence microscopy of the lungs revealed that for mice sacrificed on day 38, a significant percentage of micrometastases were composed of cancer cells from both primary tumors (mean 37%; range 27 to 45%), while two mice sacrificed on day 42 showed percentages of 51% and 70%.
Conclusions
A high degree of metastatic cross-seeding of cancer cells derived from bilateral tumors may contribute to faster metastatic growth and intratumoral heterogeneity. We posit that our work will help understand treatment resistance and optimal planning of SBBC treatment. |
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ISSN: | 1536-1632 1860-2002 |
DOI: | 10.1007/s11307-021-01630-z |