Practical Considerations in Studying Metastatic Lung Colonization in Osteosarcoma Using the Pulmonary Metastasis Assay
Open accessAbstract
The pulmonary metastasis assay (PuMA) is an ex vivo lung explant and closed cell culture system that permits researchers to study the biology of lung colonization in osteosarcoma (OS) by fluorescence microscopy. This article provides a detailed description of the protocol, and discusses examples of obtaining image data on metastatic growth using widefield or confocal fluorescence microscopy platforms. The flexibility of the PuMA model permits researchers to study not only the growth of OS cells in the lung microenvironment, but also to assess the effects of anti-metastatic therapeutics over time. Confocal microscopy allows for unprecedented, high-resolution imaging of OS cell interactions with the lung parenchyma. Moreover, when the PuMA model is combined with fluorescent dyes or fluorescent protein genetic reporters, researchers can study the lung microenvironment, cellular and subcellular structures, gene function, and promoter activity in metastatic OS cells. The PuMA model provides a new tool for osteosarcoma researchers to discover new metastasis biology and assess the activity of novel anti-metastatic, targeted therapies.
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Ex vivo culture methods permit investigation of tumour cells that grow within an intact lung environment.
“Ex vivo culture systems are useful to study tumour cells growing within an intact lung environment 214,215 .”
From Osteosarcoma (2022) · cites this paper as [215]
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Cites
NIH Image to ImageJ: 25 years of image analysis
Schneider, C. A., Rasband, W. S., & Eliceiri, K. W. (2012) · Nature Methods · doi:10.1038/nmeth.2089 · Cited by 64,638 · see citing works
Ondracek, G. (1972) · Journal of Nuclear Materials · doi:10.1016/0022-3115(72)90033-5 · Cited by 2,664 · see citing works
Khanna, C. (2004) · Carcinogenesis · doi:10.1093/carcin/bgh261 · Cited by 466 · see citing works
Cameron, M. D., Schmidt, E. E., Kerkvliet, N. I., Nadkarni, K. V., Morris, V. L., Groom, A. C., Chambers, A. F., & MacDonald, I. C. (2000) · PubMed · Cited by 400 · see citing works
Translational Activation of HIF1α by YB-1 Promotes Sarcoma Metastasis
El-Naggar, A. M., Veinotte, C. J., Cheng, H., Grünewald, T. G. P., Negri, G. L., Somasekharan, S. P., Corkery, D., Tirode, F., Mathers, J. A., Khan, D., et al. (2015) · Cancer Cell · doi:10.1016/j.ccell.2015.04.003 · Cited by 280 · see citing works
Self-citationYB-1 regulates stress granule formation and tumor progression by translationally activating G3BP1
Somasekharan, S. P., El-Naggar, A. M., Leprivier, G., Cheng, H., Hajee, S., Grünewald, T. G. P., Zhang, F., Ng, T., Delattre, O., Evdokimova, V. E., et al. (2015) · The Journal of Cell Biology · doi:10.1083/jcb.201411047 · Cited by 279 · see citing works
Self-citationTechnical considerations for studying cancer metastasis in vivo
Welch, D. R. (1997) · Clinical & Experimental Metastasis · doi:10.1023/a:1018477516367 · Cited by 192 · see citing works
Cancer spread and micrometastasis development: Quantitative approaches for in vivo models
MacDonald, I. C., Groom, A. C., & Chambers, A. F. (2002) · BioEssays · doi:10.1002/bies.10156 · Cited by 181 · see citing works
Toward a Drug Development Path That Targets Metastatic Progression in Osteosarcoma
Khanna, C., Fan, T. M., Gorlick, R., Helman, L. J., Kleinerman, E. S., Adamson, P. C., Houghton, P. J., Tap, W. D., Welch, D. R., Steeg, P. S., et al. (2014) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-13-2574 · Cited by 178 · see citing works
Self-citationA permanent window for the murine lung enables high-resolution imaging of cancer metastasis
Entenberg, D. R., Voiculescu, S. E., Guo, P., Borriello, L., Wang, Y., Karagiannis, G. S., Jones, J. G., Baccay, F., Oktay, M. H., & Condeelis, J. S. (2017) · Nature Methods · doi:10.1038/nmeth.4511 · Cited by 173 · see citing works
Positively selected enhancer elements endow osteosarcoma cells with metastatic competence
Morrow, J. J., Bayles, I., Funnell, A. P. W., Miller, T. E., Saiakhova, A., Lizardo, M. M., Bartels, C. F., Kapteijn, M. Y., Hung, S., Mendoza, A., et al. (2018) · Nature Medicine · doi:10.1038/nm.4475 · Cited by 161 · see citing works
Self-citationGuha, M., Srinivasan, S., Ruthel, G. T., Kashina, A., Carstens, R. P., Mendoza, A., Khanna, C., Winkle, T. V., & Avadhani, N. G. (2013) · Oncogene · doi:10.1038/onc.2013.467 · Cited by 154 · see citing works
Characterization of the metastatic phenotype of a panel of established osteosarcoma cells
Ren, L., Mendoza, A., Zhu, J., Briggs, J., Halsey, C., Hong, E. S., Burkett, S. S., Morrow, J. J., Lizardo, M. M., Osborne, T. S., et al. (2015) · Oncotarget · doi:10.18632/oncotarget.5177 · Cited by 119 · see citing works
Self-citationModeling metastasis biology and therapy in real time in the mouse lung
Mendoza, A., Hong, S.-H., Osborne, T., Khan, M. A., Campbell, K., Briggs, J., Eleswarapu, A., Buquo, L., Ren, L., Hewitt, S. M., et al. (2010) · Journal of Clinical Investigation · doi:10.1172/jci40252 · Cited by 92 · see citing works
Steeg, P. S. (2012) · Nature · doi:10.1038/485s58a · Cited by 82 · see citing works
Quantification of cancer cell extravasation in vivo
Kim, Y., Williams, K. C., Gavin, C. T., Jardine, E., Chambers, A. F., & Leong, H. S. (2016) · Nature Protocols · doi:10.1038/nprot.2016.050 · Cited by 72 · see citing works
Lizardo, M. M., Morrow, J. J., Miller, T. E., Hong, E. S., Ren, L., Mendoza, A., Halsey, C. H., Scacheri, P. C., Helman, L. J., & Khanna, C. (2016) · Neoplasia · doi:10.1016/j.neo.2016.09.001 · Cited by 50 · see citing works
Self-citationMetabolomics uncovers a link between inositol metabolism and osteosarcoma metastasis
Ren, L., Hong, E. S., Mendoza, A., Issaq, S. H., Hoang, C. T., Lizardo, M. M., LeBlanc, A. K., & Khanna, C. (2017) · Oncotarget · doi:10.18632/oncotarget.15872 · Cited by 46 · see citing works
Self-citationInvestigating Metastasis Using In Vitro Platforms
Pouliot, N., Pearson, H. B., & Burrows, A. D. (2013) · ORCA Online Research @Cardiff (Cardiff University) · Cited by 33 · see citing works
In vivo optical imaging of cancer metastasis using multiphoton microscopy: a short review.
Tanaka, K., Toiyama, Y., Okugawa, Y., Okigami, M., Inoue, Y., Uchida, K., Araki, T., Mohri, Y., Mizoguchi, A., & Kusunoki, M. (2014) · Europe PMC (PubMed Central) · Cited by 33 · see citing works
Apoptosis Resistance and PKC Signaling: Distinguishing Features of High and Low Metastatic Cells
Hong, S.-H., Ren, L., Mendoza, A., Eleswarapu, A. S., & Khanna, C. (2012) · Neoplasia · doi:10.1593/neo.111498 · Cited by 28 · see citing works
Morrow, J. J., Mendoza, A., Koyen, A., Lizardo, M. M., Ren, L., Waybright, T. J., Hansen, R. J., Gustafson, D. L., Zhou, M., Fan, T. M., et al. (2016) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-16-0326 · Cited by 27 · see citing works
Self-citationVarghese, H. J., MacKenzie, L. T., Groom, A. C., Ellis, C. G., Ryan, A. J., Macdonald, I. A., & Chambers, A. F. (2004) · Angiogenesis · doi:10.1007/s10456-004-1941-3 · Cited by 21 · see citing works
Multiphoton Laser Scanning Microscopy as a Tool for Xenopus Oocyte Research
Prouty, A. M., Wu, J. F., Lin, D., Camacho, P., & Lechleiter, J. D. (2006) · Methods in molecular biology · doi:10.1007/978-1-59745-000-3_7 · Cited by 8 · see citing works
Ex vivo Live Imaging of Lung Metastasis and Their Microenvironment
van den Bijgaart, R. J. E., Kong, N., Maynard, C., & Plaks, V. (2016) · Journal of Visualized Experiments · doi:10.3791/53741 · Cited by 6 · see citing works
Modeling metastasis biology and therapy in real time in the mouse lung
Mendoza, A., Hong, S.-H., Osborne, T. S., Khan, M., Campbell, K., Briggs, J., Eleswarapu, A. S., Buquo, L., Ren, L., Hewitt, S. M., et al. (2010) · Journal of Clinical Investigation · doi:10.1172/jci40252c1 · Cited by 6 · see citing works
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Beird, H. C., Bielack, S. S., Flanagan, A. M., Gill, J., Heymann, D., Janeway, K. A., Livingston, J. A., Roberts, R. D., Strauss, S. J., & Gorlick, R. (2022) · Nature Reviews Disease Primers · doi:10.1038/s41572-022-00409-y · Cited by 660 · see citing works
Roberts, R. D., Lizardo, M. M., Reed, D. R., Hingorani, P., Glover, J., Allen‐Rhoades, W., Fan, T., Khanna, C., Sweet‐Cordero, E. A., Cash, T., et al. (2019) · Cancer · doi:10.1002/cncr.32351 · Cited by 127 · see citing works
Self-citationFan, T. M., Roberts, R. D., & Lizardo, M. M. (2020) · Frontiers in Oncology · doi:10.3389/fonc.2020.00013 · Cited by 90 · see citing works
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Chen, X., Li, Y., Yao, T., & Jia, R. (2021) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2021.616551 · Cited by 77 · see citing works
Metastasis and cachexia: alongside in clinics, but not so in animal models
Tomasin, R., Martin, A. C. B. M., & Cominetti, M. R. (2019) · Journal of Cachexia Sarcopenia and Muscle · doi:10.1002/jcsm.12475 · Cited by 57 · see citing works
Rodrigues, J., Sarmento, B. F. C. C., & Pereira, C. L. (2022) · In vitro models · doi:10.1007/s44164-022-00008-x · Cited by 39 · see citing works
A Bifunctional PARP-HDAC Inhibitor with Activity in Ewing Sarcoma
Ramos, L., Truong, S., Zhai, B., Joshi, J., Ghaidi, F., Lizardo, M. M., Shyp, T., Kung, S. H. Y., Rezakhanlou, A. M., Oo, H. Z., et al. (2023) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-22-3897 · Cited by 30 · see citing works
Self-citationReddy, G. B., Kerr, D. L., Spasojević, I., Tovmasyan, A. G., Hsu, D. S., Brigman, B. E., Somarelli, J. A., Needham, D., & Eward, W. C. (2020) · Molecular Cancer Therapeutics · doi:10.1158/1535-7163.mct-19-0689 · Cited by 28 · see citing works
Pharmacologic Inhibition of EIF4A Blocks NRF2 Synthesis to Prevent Osteosarcoma Metastasis
Lizardo, M. M., Hughes, C. S., Huang, Y. Z., Shyp, T., Delaidelli, A., Zhang, H., Shaool, S. S., Renner, A. F., Burwag, F., Sayles, L. C., et al. (2024) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-24-1317 · Cited by 18 · see citing works
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Young, E. D., Strom, K. B., Tsue, A. F., Usset, J. L., MacPherson, S., McGuire, J. T., & Welch, D. R. (2018) · Clinical & Experimental Metastasis · doi:10.1007/s10585-018-9882-1 · Cited by 9 · see citing works
El-Naggar, A. M., Li, Y., Turgu, B., Ding, Y., Wei, L., Chen, S. Y., Trigo‐Gonzalez, G., Kalantari, F., Vallejos, R., Lynch, B. J., et al. (2025) · The Journal of Pathology · doi:10.1002/path.6433 · Cited by 8 · see citing works
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Scopim‐Ribeiro, R., Lizardo, M. M., Zhang, H., Dhez, A.-C., Hughes, C. S., & Sorensen, P. H. B. (2021) · Frontiers in Oncology · doi:10.3389/fonc.2021.645757 · Cited by 6 · see citing works
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Sunbul, F. S., Almuqbil, R. M., Zhang, H., Alhudaithi, S. S., Fernandez, M. E., Aldaqqa, R. R., Garcia, V. A., Robila, V., Halquist, M. S., Gordon, S. W., et al. (2025) · International Journal of Pharmaceutics · doi:10.1016/j.ijpharm.2025.125372 · Cited by 3 · see citing works
Needham, D. (2020) · Elsevier eBooks · doi:10.1016/b978-0-08-102983-1.00022-3 · Cited by 1 · see citing works
Young, E. D. (2018) · KU ScholarWorks (University of Kansas)
Gaspar, N. (2020) · Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature · doi:10.3410/f.736286746.793579340
Data from A Bifunctional PARP-HDAC Inhibitor with Activity in Ewing Sarcoma
Ramos, L., Truong, S., Zhai, B., Joshi, J., Ghaidi, F., Lizardo, M. M., Shyp, T., Kung, S. H. Y., Rezakhanlou, A. M., Oo, H. Z., et al. (2023) · doi:10.1158/1078-0432.c.6717743.v2
Self-citation
- Authors
- Lizardo, M. M., & Sorensen, P. H.
- Affiliations
- BC Cancer Agency (CA)
- Venue
- Journal of Visualized Experiments
- Publisher
- MyJove Corporation
- Published
- 2018-03-12
- Issue
- 133
- ISSN
- 1940-087X (ISSN-L)
- PMC
- PMC5931694
- OpenAlex
- W2794411119
- Cited by
- 19
- References
- 26
- Citations by year
- 2025: 2 · 2024: 2 · 2023: 2 · 2022: 2 · 2021: 2 · 2020: 4 · 2019: 3 · 2018: 2
- FWCI
- 1.03
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Journal of Visualized Experiments (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institutes of Health
- BC Cancer Agency
- National Cancer Institute
- Topics
- Health Sciences › Medicine › Oncology › Cancer Cells and Metastasis
- Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Sarcoma Diagnosis and Treatment
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Mechanisms of cancer metastasis
- Keywords
- osteosarcoma, lung colonization, metastasis biology, confocal fluorescence microscopy, lung microenvironment, fluorescent reporter genes
- MeSH terms
- Animals, Bone Neoplasms, Cell Communication, Female, Humans, Lung Neoplasms, Mice, Inbred BALB C, Neoplasm Metastasis, Osteosarcoma, Mice, SCID, Microscopy, Confocal, Cell Line, Tumor, Mice
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