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Tracking Tumor Colonization in Xenograft Mouse Models Using Accelerator Mass Spectrometry
Here we introduce an Accelerator Mass Spectrometry (AMS)-based high precision method for quantifying the number of cancer cells that initiate metastatic tumors, in xenograft mice. Quantification of (14)C per cell prior to injection into animals, and quantification of (14)C in whole organs allows us...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6178347/ https://www.ncbi.nlm.nih.gov/pubmed/30302019 http://dx.doi.org/10.1038/s41598-018-33368-0 |
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author | Hum, Nicholas R. Martin, Kelly A. Malfatti, Michael A. Haack, Kurt Buchholz, Bruce A. Loots, Gabriela G. |
author_facet | Hum, Nicholas R. Martin, Kelly A. Malfatti, Michael A. Haack, Kurt Buchholz, Bruce A. Loots, Gabriela G. |
author_sort | Hum, Nicholas R. |
collection | PubMed |
description | Here we introduce an Accelerator Mass Spectrometry (AMS)-based high precision method for quantifying the number of cancer cells that initiate metastatic tumors, in xenograft mice. Quantification of (14)C per cell prior to injection into animals, and quantification of (14)C in whole organs allows us to extrapolate the number of cancer cells available to initiate metastatic tumors. The (14)C labeling was optimized such that 1 cancer cell was detected among 1 million normal cells. We show that ~1–5% of human cancer cells injected into immunodeficient mice form subcutaneous tumors, and even fewer cells initiate metastatic tumors. Comparisons of metastatic site colonization between a highly metastatic (PC3) and a non-metastatic (LnCap) cell line showed that PC3 cells colonize target tissues in greater quantities at 2 weeks post-delivery, and by 12 weeks post-delivery no (14)C was detected in LnCap xenografts, suggesting that all metastatic cells were cleared. The (14)C-signal correlated with the presence and the severity of metastatic tumors. AMS measurements of (14)C-labeled cells provides a highly-sensitive, quantitative assay to experimentally evaluate metastasis and colonization of target tissues in xenograft mouse models. This approach can potentially be used to evaluate tumor aggressiveness and assist in making informed decisions regarding treatment. |
format | Online Article Text |
id | pubmed-6178347 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-61783472018-10-12 Tracking Tumor Colonization in Xenograft Mouse Models Using Accelerator Mass Spectrometry Hum, Nicholas R. Martin, Kelly A. Malfatti, Michael A. Haack, Kurt Buchholz, Bruce A. Loots, Gabriela G. Sci Rep Article Here we introduce an Accelerator Mass Spectrometry (AMS)-based high precision method for quantifying the number of cancer cells that initiate metastatic tumors, in xenograft mice. Quantification of (14)C per cell prior to injection into animals, and quantification of (14)C in whole organs allows us to extrapolate the number of cancer cells available to initiate metastatic tumors. The (14)C labeling was optimized such that 1 cancer cell was detected among 1 million normal cells. We show that ~1–5% of human cancer cells injected into immunodeficient mice form subcutaneous tumors, and even fewer cells initiate metastatic tumors. Comparisons of metastatic site colonization between a highly metastatic (PC3) and a non-metastatic (LnCap) cell line showed that PC3 cells colonize target tissues in greater quantities at 2 weeks post-delivery, and by 12 weeks post-delivery no (14)C was detected in LnCap xenografts, suggesting that all metastatic cells were cleared. The (14)C-signal correlated with the presence and the severity of metastatic tumors. AMS measurements of (14)C-labeled cells provides a highly-sensitive, quantitative assay to experimentally evaluate metastasis and colonization of target tissues in xenograft mouse models. This approach can potentially be used to evaluate tumor aggressiveness and assist in making informed decisions regarding treatment. Nature Publishing Group UK 2018-10-09 /pmc/articles/PMC6178347/ /pubmed/30302019 http://dx.doi.org/10.1038/s41598-018-33368-0 Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Hum, Nicholas R. Martin, Kelly A. Malfatti, Michael A. Haack, Kurt Buchholz, Bruce A. Loots, Gabriela G. Tracking Tumor Colonization in Xenograft Mouse Models Using Accelerator Mass Spectrometry |
title | Tracking Tumor Colonization in Xenograft Mouse Models Using Accelerator Mass Spectrometry |
title_full | Tracking Tumor Colonization in Xenograft Mouse Models Using Accelerator Mass Spectrometry |
title_fullStr | Tracking Tumor Colonization in Xenograft Mouse Models Using Accelerator Mass Spectrometry |
title_full_unstemmed | Tracking Tumor Colonization in Xenograft Mouse Models Using Accelerator Mass Spectrometry |
title_short | Tracking Tumor Colonization in Xenograft Mouse Models Using Accelerator Mass Spectrometry |
title_sort | tracking tumor colonization in xenograft mouse models using accelerator mass spectrometry |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6178347/ https://www.ncbi.nlm.nih.gov/pubmed/30302019 http://dx.doi.org/10.1038/s41598-018-33368-0 |
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