Cancer stem cells from human breast tumors are involved in spontaneous metastases in orthotopic mouse models

To examine the role of breast cancer stem cells (BCSCs) in metastasis, we generated human-in-mouse breast cancer orthotopic models using patient tumor specimens, labeled with optical reporter fusion genes. These models recapitulate human cancer features not captured with previous models, including s...

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Veröffentlicht in:Proceedings of the National Academy of Sciences - PNAS 2010-10, Vol.107 (42), p.18115-18120
Hauptverfasser: Liu, Huiping, Patel, Manishkumar R., Prescher, Jennifer A., Patsialou, Antonia, Qian, Dalong, Lin, Jiahui, Wen, Susanna, Chang, Ya-Fang, Bachmann, Michael H., Shimono, Yohei, Dalerba, Piero, Adorno, Maddalena, Lobo, Neethan, Bueno, Janet, Dirbas, Frederick M., Goswami, Sumanta, Somlo, George, Condeelis, John, Contag, Christopher H., Gambhir, Sanjiv Sam, Clarke, Michael F., Rowley, Janet D.
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Sprache:eng
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Zusammenfassung:To examine the role of breast cancer stem cells (BCSCs) in metastasis, we generated human-in-mouse breast cancer orthotopic models using patient tumor specimens, labeled with optical reporter fusion genes. These models recapitulate human cancer features not captured with previous models, including spontaneous metastasis in particular, and provide a useful platform for studies of breast tumor initiation and progression. With noninvasive imaging approaches, as few as 10 cells of stably labeled BCSCs could be tracked in vivo, enabling studies of early tumor growth and spontaneous metastasis. These advances in BCSC imaging revealed that CD44⁺ cells from both primary tumors and lung metastases are highly enriched for tumor-initiating cells. Our metastatic cancer models, combined with noninvasive imaging techniques, constitute an integrated approach that could be applied to dissect the molecular mechanisms underlying the dissemination of metastatic CSCs (MCSCs) and to explore therapeutic strategies targeting MCSCs in general or to evaluate individual patient tumor cells and predict response to therapy.
ISSN:0027-8424
1091-6490
DOI:10.1073/pnas.1006732107