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Modeling Spontaneous Bone Metastasis Formation of Solid Human Tumor Xenografts in Mice.

Authors :
Labitzky, Vera
Baranowsky, Anke
Maar, Hanna
Hanika, Sandra
Starzonek, Sarah
Ahlers, Ann-Kristin
Stübke, Katrin
Koziolek, Eva J.
Heine, Markus
Schäfer, Paula
Windhorst, Sabine
Jücker, Manfred
Riecken, Kristoffer
Amling, Michael
Schinke, Thorsten
Schumacher, Udo
Valentiner, Ursula
Lange, Tobias
Source :
Cancers; Feb2020, Vol. 12 Issue 2, p385, 1p
Publication Year :
2020

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<superscript>-/-</superscript> 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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20726694
Volume :
12
Issue :
2
Database :
Complementary Index
Journal :
Cancers
Publication Type :
Academic Journal
Accession number :
142310150
Full Text :
https://doi.org/10.3390/cancers12020385