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Three-dimensional microscopy of the tumor microenvironment in vivo using optical frequency domain imaging
Open accessAbstract
Intravital multiphoton microscopy has provided powerful mechanistic insights into health and disease and has become a common instrument in the modern biological laboratory. The requisite high numerical aperture and exogenous contrast agents that enable multiphoton microscopy, however, limit the ability to investigate substantial tissue volumes or to probe dynamic changes repeatedly over prolonged periods. Here we introduce optical frequency domain imaging (OFDI) as an intravital microscopy that circumvents the technical limitations of multiphoton microscopy and, as a result, provides unprecedented access to previously unexplored, crucial aspects of tissue biology. Using unique OFDI-based approaches and entirely intrinsic mechanisms of contrast, we present rapid and repeated measurements of tumor angiogenesis, lymphangiogenesis, tissue viability and both vascular and cellular responses to therapy, thereby demonstrating the potential of OFDI to facilitate the exploration of physiological and pathological processes and the evaluation of treatment strategies.
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Citations
Cites
Normalization of Tumor Vasculature: An Emerging Concept in Antiangiogenic Therapy
Jain, R. K. (2005) · Science · doi:10.1126/science.1104819 · Cited by 5,527 · cited 1×
“to the study of solid tumor biology in vivo has elucidated pathways and mechanisms of cancer progression and has led to new therapeutic strategie”
BackgroundSelf-citationTong, R. T., Boucher, Y., Kozin, S. V., Winkler, F., Hicklin, D. J., & Jain, R. K. (2004) · Cancer Research · doi:10.1158/0008-5472.can-04-0074 · Cited by 1,189
Self-citationCancer cells compress intratumour vessels
Padera, T. P., Stoll, B. R., Tooredman, J. B., Capen, D., Tomaso, E. D., & Jain, R. K. (2004) · Nature · doi:10.1038/427695a · Cited by 857
Self-citation
Cited by
Antiangiogenesis Strategies Revisited: From Starving Tumors to Alleviating Hypoxia
Jain, R. K. (2014) · Cancer Cell · doi:10.1016/j.ccell.2014.10.006 · Cited by 1,589
Self-citationNormalizing Tumor Microenvironment to Treat Cancer: Bench to Bedside to Biomarkers
Jain, R. K. (2013) · Journal of Clinical Oncology · doi:10.1200/jco.2012.46.3653 · Cited by 1,248
Self-citationTumor targeting via EPR: Strategies to enhance patient responses
Golombek, S. K., May, J.-N., Theek, B., Appold, L., Drude, N., Kiessling, F., & Lammers, T. (2018) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2018.07.007 · Cited by 1,262
Microtubules and resistance to tubulin-binding agents
Kavallaris, M. (2010) · Nature Reviews Cancer · doi:10.1038/nrc2803 · Cited by 1,120
The Role of Mechanical Forces in Tumor Growth and Therapy
Jain, R. K., Martin, J. D., & Stylianopoulos, T. (2014) · Annual Review of Biomedical Engineering · doi:10.1146/annurev-bioeng-071813-105259 · Cited by 1,044
Self-citationChauhan, V. P., Martin, J. D., Liu, H., Lacorre, D. A., Jain, S. R., Kozin, S. V., Stylianopoulos, T., Mousa, A. S., Han, X., Adstamongkonkul, P., et al. (2013) · Nature Communications · doi:10.1038/ncomms3516 · Cited by 1,031
Self-citationDelivery of Molecular and Nanoscale Medicine to Tumors: Transport Barriers and Strategies
Chauhan, V. P., Stylianopoulos, T., Boucher, Y., & Jain, R. K. (2011) · Annual Review of Chemical and Biomolecular Engineering · doi:10.1146/annurev-chembioeng-061010-114300 · Cited by 597
Self-citationPittet, M. J., & Weissleder, R. (2011) · Cell · doi:10.1016/j.cell.2011.11.004 · Cited by 466
Organ-on-a chip systems: microengineering to biomimic living systems
Zheng, F., Fu, F., Cheng, Y., Wang, C., Zhao, Y., & Gu, Z. (2016) · Small · doi:10.1002/smll.201503208 · Cited by 338
Peterson, T. E., Kirkpatrick, N. D., Huang, Y., Farrar, C. T., Marijt, K. A., Kloepper, J., Datta, M., Amoozgar, Z., Seano, G., Jung, K., et al. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1525349113 · Cited by 317
Self-citationRuan, S., Cao, X., Cun, X., Hu, G., Zhou, Y., Zhang, Y., Lu, L., He, Q., & Gao, H. (2015) · Biomaterials · doi:10.1016/j.biomaterials.2015.05.006 · Cited by 290
Molecular imaging of the tumor microenvironment
Zhou, Z., & Lu, Z.-R. (2017) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2016.07.012 · Cited by 253
Targeting vascular and leukocyte communication in angiogenesis, inflammation and fibrosis
Kreuger, J., & Phillipson, M. (2016) · Nature Reviews Drug Discovery · doi:10.1038/nrd.2015.2 · Cited by 160
Hydrogels to model 3D in vitro microenvironment of tumor vascularization
Song, H.-H. G., Park, K. M., & Gerecht, S. (2014) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2014.06.002 · Cited by 153
The Fluid Mechanics of Cancer and Its Therapy
Koumoutsakos, P., Pivkin, I., & Milde, F. (2013) · Annual Review of Fluid Mechanics · doi:10.1146/annurev-fluid-120710-101102 · Cited by 129
Goel, S., Gupta, N., Walcott, B. P., Snuderl, M., Kesler, C. T., Kirkpatrick, N. D., Heishi, T., Huang, Y., Martin, J. D., Ager, E., et al. (2013) · JNCI: Journal of the National Cancer Institute · doi:10.1093/jnci/djt164 · Cited by 117
Self-citationTumor-on-a-chip for integrating a 3D tumor microenvironment: chemical and mechanical factors
Wan, L., Neumann, C. A., & LeDuc, P. R. (2020) · Lab on a Chip · doi:10.1039/c9lc00550a · Cited by 120
Approaches to Improve EPR-Based Drug Delivery for Cancer Therapy and Diagnosis
Subhan, M. A., Parveen, F., Filipczak, N., Yalamarty, S. S. K., & Torchilin, V. P. (2023) · Journal of Personalized Medicine · doi:10.3390/jpm13030389 · Cited by 98
“As a result, vasculature remodeling utilizing a drug delivery system has been a prospective approach [88,89].”
BackgroundRamamonjisoa, N., & Ackerstaff, E. (2017) · Frontiers in Oncology · doi:10.3389/fonc.2017.00003 · Cited by 93
Intravital microscopy for real-time monitoring of drug delivery and nanobiological processes
Momoh, J., Kapsokalyvas, D., Vogt, M., Hak, S., Kiessling, F., van Zandvoort, M., Lammers, T., & Sofias, A. M. (2022) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2022.114528 · Cited by 33
SoRelle, E. D., Yecies, D. W., Liba, O., Bennett, F. C., Graef, C. M., Dutta, R., Mitra, S., Joubert, L.-M., Cheshier, S., Grant, G. A., et al. (2019) · ACS Nano · doi:10.1021/acsnano.9b02656 · Cited by 24
Metadata
- Authors
- Vakoc, B. J., Lanning, R. M., Tyrrell, J. A., Padera, T. P., Bartlett, L. A., Stylianopoulos, T., Munn, L. L., Tearney, G. J., Fukumura, D., Jain, R. K., & Bouma, B. E.
- Venue
- Nature Medicine
- Published
- 2009-09-13
- Volume
- 15
- Issue
- 10
- Pages
- 1219-1223
- ISSN
- 1078-8956 (ISSN-L)
- 1546-170X
- OpenAlex
- W1992560794
- Cited by
- 719
- References
- 3
- FWCI
- 29.89
- Type
- journal article
- Language
- en
- Open access
- green
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