| Literature DB >> 32046143 |
Vera Labitzky1, Anke Baranowsky2, Hanna Maar1, Sandra Hanika1, Sarah Starzonek1, Ann-Kristin Ahlers1, Katrin Stübke1, Eva J Koziolek1,3, Markus Heine1,4, Paula Schäfer5, Sabine Windhorst5, Manfred Jücker5, Kristoffer Riecken6, Michael Amling2, Thorsten Schinke2, Udo Schumacher1, Ursula Valentiner1, Tobias Lange1.
Abstract
The majority of cancer-related deaths are due to hematogenous metastases, and the bone marrow (BM) represents one of the most frequent metastatic sites. To study BM metastasis formation in vivo, the most efficient approach is based on intracardiac injection of human tumor cells into immunodeficient mice. However, such a procedure circumvents the early steps of the metastatic cascade. Here we describe the development of xenograft mouse models (balb/c rag2-/- and severe combined immunodeficient (SCID)), in which BM metastases are spontaneously derived from subcutaneous (s.c.) primary tumors (PTs). As verified by histology, the described methodology including ex vivo bioluminescence imaging (BLI) even enabled the detection of micrometastases in the BM. Furthermore, we established sublines from xenograft primary tumors (PTs) and corresponding BM (BM) metastases using LAN-1 neuroblastoma xenografts as a first example. In vitro "metastasis" assays (viability, proliferation, transmigration, invasion, colony formation) partially indicated pro-metastatic features of the LAN-1-BM compared to the LAN-1-PT subline. Unexpectedly, after s.c. re-injection into mice, LAN-1-BM xenografts developed spontaneous BM metastases less frequently than LAN-1-PT xenografts. This study provides a novel methodologic approach for modelling the spontaneous metastatic cascade of human BM metastasis formation in mice. Moreover, our data indicate that putative bone-metastatic features get rapidly lost upon routine cell culture.Entities:
Keywords: bioluminescence imaging; spontaneous bone marrow metastasis; xenograft mouse model
Year: 2020 PMID: 32046143 DOI: 10.3390/cancers12020385
Source DB: PubMed Journal: Cancers (Basel) ISSN: 2072-6694 Impact factor: 6.639