Liposomal doxorubicin extravasation controlled by phenotype-specific transport properties of tumor microenvironment and vascular barrier
Open accessAbstract
Although nanotherapeutics can be advantageous over free chemotherapy, the benefits of drug vectors can vary from patient to patient based on differences in tumor microenvironments. Although systemic pharmacokinetics (PK) of drugs is considered as the major determinant of its efficacy in clinics, recent clinical and basic research indicates that tumor-based PK can provide better representation of therapeutic efficacy. Here, we have studied the role of the tumor extravascular tissue in the extravasation kinetics of doxorubicin (DOX), delivered by pegylated liposomes (PLD), to murine lung (3LL) and breast (4T1) tumors. We found that phenotypically different 3LL and 4T1 tumors shared the similar systemic PK, but DOX extravasation in the tumor extravascular tissue was substantially different. Liquid chromatography-mass spectrometry (LC-MS) measurements showed that DOX fluorescence imaged by fluorescence microscopy could be used as a marker to study tumor microenvironment PK, providing an excellent match to DOX kinetics in tumor tissues. Our results also suggest that therapeutic responses can be closely related to the interplay of concentration levels and exposure times in extravascular tissue of tumors. Finally, the computational model of capillary drug transport showed that internalization of drug vectors was critical and could lead to 2-3 orders of magnitude more efficient drug delivery into the extravascular tissue, compared to non-internalized localization of drug vectors, and explaining the differences in therapeutic efficacy between the 3LL and 4T1 tumors. These results show that drug transport and partitioning characteristics can be phenotype- and microenvironment-dependent and are highly important in drug delivery and therapeutic efficacy.
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Prior studies suggest that tumor permeability and nanoparticle size are critically important for nanoparticle drug distribution to tumors and resulting anticancer effects.
“This conclusion is consistent with the prior studies suggesting that the tumor permeability as the well as the size of the nanoparticles (including polymeric micelles of different type) are critically important for nanoparticle drug distribution to tumors and the resulting anticancer effects [36–38].”
From Co-delivery of Paclitaxel and Cisplatin in Poly(2-oxazoline) Polymeric Micelles: Implications for Drug Loading, Release, Pharmacokinetics and Outcome of Ovarian and Breast Cancer Treatments (2019) · cites this paper as [37]
The Concluding remarks (page not provided) say that transport properties of the tumor microenvironment and vascular barrier are critical to nanotherapeutic delivery and may help explain efficacy. The Drug transport model section says its model accounts for particle size, but the paper does not establish that nanoparticle size is critically important to tumor distribution or anticancer effects, nor does it examine polymeric micelles. (LLM, conf=0.85)
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Cites
Fiji: an open-source platform for biological-image analysis
Schindelin, J., Arganda-Carreras, I., Frise, E., Kaynig, V., Longair, M., Pietzsch, T., Preibisch, S., Rueden, C., Saalfeld, S., Schmid, B., et al. (2012) · Nature Methods · doi:10.1038/nmeth.2019 · Cited by 66,890 · see citing works
Abràmoff, M. D., Magalhães, P. J., & Ram, S. J. (2004) · Utrecht University Repository (Utrecht University) · Cited by 11,816 · see citing works
Nanocarriers as an emerging platform for cancer therapy
Peer, D., Karp, J. M., Hong, S., Farokhzad, O. C., Margalit, R., & Langer, R. (2007) · Nature Nanotechnology · doi:10.1038/nnano.2007.387 · Cited by 8,710 · see citing works
Tumor vascular permeability and the EPR effect in macromolecular therapeutics: a review
Maeda, H., Wu, J., Sawa, T., Matsumura, Y., & Hori, K. (2000) · Journal of Controlled Release · doi:10.1016/s0168-3659(99)00248-5 · Cited by 6,565 · see citing works
Cancer nanotechnology: opportunities and challenges
Ferrari, M. (2005) · Nature Reviews Cancer · doi:10.1038/nrc1566 · Cited by 4,558 · see citing works
Nanoparticle therapeutics: an emerging treatment modality for cancer
Davis, M. E., Chen, Z., & Shin, D. M. (2008) · Nature Reviews Drug Discovery · doi:10.1038/nrd2614 · Cited by 4,233 · see citing works
Drug penetration in solid tumours
Minchinton, A. I., & Tannock, I. F. (2006) · Nature reviews. Cancer · doi:10.1038/nrc1893 · Cited by 2,805 · see citing works
Pharmacokinetics of Pegylated Liposomal Doxorubicin
Gabizón, A., Shmeeda, H., & Barenholz, Y. (2003) · Clinical Pharmacokinetics · doi:10.2165/00003088-200342050-00002 · Cited by 1,639 · see citing works
Nanoparticle Delivery of Cancer Drugs
Wang, A. Z., Langer, R., & Farokhzad, O. C. (2011) · Annual Review of Medicine · doi:10.1146/annurev-med-040210-162544 · Cited by 1,575 · see citing works
Role of nanotechnology in targeted drug delivery and imaging: a concise review
Koo, O. M. Y., Rubinstein, I., & Önyüksel, H. (2005) · Nanomedicine Nanotechnology Biology and Medicine · doi:10.1016/j.nano.2005.06.004 · Cited by 718 · see citing works
Folate-mediated tumor cell targeting of liposome-entrapped doxorubicin in vitro
Lee, R. J., & Low, P. S. (1995) · Biochimica et Biophysica Acta (BBA) - Biomembranes · doi:10.1016/0005-2736(94)00235-h · Cited by 575 · see citing works
The distribution of the anticancer drug Doxorubicin in relation to blood vessels in solid tumors
Primeau, A. J., Rendon, A., Hedley, D., Lilge, L., & Tannock, I. F. (2005) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-05-1664 · Cited by 499 · see citing works
Intracellular pH and the control of multidrug resistance.
Simon, S. M., Roy, D., & Schindler, M. (1994) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.91.3.1128 · Cited by 278 · see citing works
Issues in Pharmacokinetics and Pharmacodynamics of Anti-Infective Agents: Distribution in Tissue
Müller, M., Peña, A. D., & Derendorf, H. (2004) · Antimicrobial Agents and Chemotherapy · doi:10.1128/aac.48.5.1441-1453.2004 · Cited by 268 · see citing works
Pegylated Liposomal Doxorubicin
Duggan, S. T., & Keating, G. M. (2011) · Drugs · doi:10.2165/11207510-000000000-00000 · Cited by 260 · see citing works
Ferrari, M. (2008) · Nature Nanotechnology · doi:10.1038/nnano.2008.46 · Cited by 217 · see citing works
Self-citationDeciphering the fluorescence signature of daunomycin and doxorubicin
Karukstis, K. K., Thompson, E. H. Z., Whiles, J. A., & Rosenfeld, R. J. (1998) · Biophysical Chemistry · doi:10.1016/s0301-4622(98)00150-1 · Cited by 212 · see citing works
Association of intratumoral pharmacokinetics of fluorouracil with clinical response
Presant, C. A., Wolf, W., Waluch, V., Wiseman, C., Kennedy, P., Blayney, D. W., Waluch, V., Wolf, W., Brechner, R. R., Presant, C. A., et al. (1994) · The Lancet · doi:10.1016/s0140-6736(94)92399-x · Cited by 161 · see citing works
Pathak, A. P., Schmainda, K. M., Ward, B. D., Linderman, J. R., Rebro, K. J., & Greene, A. S. (2001) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1252 · Cited by 133 · see citing works
Vaage, J., Donovan, D., Uster, P. S., & Working, P. (1997) · British Journal of Cancer · doi:10.1038/bjc.1997.84 · Cited by 104 · see citing works
Yokoi, K., Kojic, M., Milosevic, M., Tanei, T., Ferrari, M., & Ziemys, A. (2014) · Cancer Research · doi:10.1158/0008-5472.can-13-3494 · Cited by 95 · see citing works
Self-citationErlanson, M., Daniel-Szolgay, E., & Carlsson, J. (1992) · Cancer Chemotherapy and Pharmacology · doi:10.1007/bf00686002 · Cited by 77 · see citing works
Zhou, R., Mazurchuk, R., & Straubinger, R. M. (2002) · PubMed · Cited by 71 · see citing works
Blossey, H. C., Wander, H.-E., Köbberling, J., & Nagel, G. A. (1984) · Cancer · doi:10.1002/1097-0142(19840915)54:1+ · Cited by 71 · see citing works
Yokoi, K., Tanei, T., Godin, B., van de Ven, A. L., Hanibuchi, M., Matsunoki, A., Alexander, J. F., & Mauro Ferrari, B. (2013) · Cancer Letters · doi:10.1016/j.canlet.2013.11.015 · Cited by 64 · see citing works
Self-citationŽiemys, A., Kojić, M., Milošević, M., Kojić, N., Hussain, F., Mauro Ferrari, B., & Grattoni, A. (2011) · Journal of Computational Physics · doi:10.1016/j.jcp.2011.03.054 · Cited by 64 · see citing works
Yokoi, K., Godin, B., Oborn, C. J., Alexander, J. F., Liu, X., Fidler, I. J., & Mauro Ferrari, B. (2012) · Cancer Letters · doi:10.1016/j.canlet.2012.09.001 · Cited by 62 · see citing works
Self-citationRapoport, N. Y., & Pitina, L. (1998) · Journal of Pharmaceutical Sciences · doi:10.1021/js970271g · Cited by 33 · see citing works
Site selectivity of daunomycin
Roche, C. J., Thomson, J. A., & Crothers, D. M. (1994) · Biochemistry · doi:10.1021/bi00170a011 · Cited by 29 · see citing works
Žiemys, A., Klemm, S., Milošević, M., Yokoi, K., Mauro Ferrari, B., & Kojić, M. (2015) · Drug Delivery · doi:10.3109/10717544.2015.1022837 · Cited by 26 · see citing works
Self-citationPharmacokinetic studies in cancer chemotherapy: Usefulness in clinical practice
Freyer, G., Ligneau, B., Tranchand, B., Ardiet, C. J., Serre-Debeauvais, F., & Trillet-Lenoir, V. N. (1997) · Cancer Treatment Reviews · doi:10.1016/s0305-7372(97)90036-0 · Cited by 26 · see citing works
Kojić, M., Milošević, M., Simić, V., Koay, E. J., Kojić, N., Žiemys, A., & Mauro Ferrari, B. (2017) · Journal of the Serbian Society for Computational Mechanics · doi:10.24874/jsscm.2017.11.02.09 · Cited by 25 · see citing works
Kojić, M., Milošević, M., Kojić, N., Kim, K., Mauro Ferrari, B., & Žiemys, A. (2013) · Computer Methods in Applied Mechanics and Engineering · doi:10.1016/j.cma.2013.11.010 · Cited by 24 · see citing works
The impact of enzymatic degradation on the uptake of differently sized therapeutic molecules.
Erikson, A., Tufto, I., Bjønnum, A. B., Bruland, Ø. S., & Davies, C. D. L. (2008) · PubMed · Cited by 24 · see citing works
The role of payload hydrophobicity in nanotherapeutic pharmacokinetics.
Norvaisas, P., & Ziemys, A. (2014) · Journal of Pharmacy and Science · doi:10.1002/jps.23996 · Cited by 19 · see citing works
Kojić, M., Milošević, M., Kojić, M., Mauro Ferrari, B., & Ziemys, A. (2011) · SCIndeks · Cited by 14 · see citing works
Self-citationTransport in biological systems
Kojić, M., Ziemys, A., Milošević, M., Isailovic, V. M., Kojić, M., Rosic, M. A., Filipović, N., & Mauro Ferrari, B. (2011) · SCIndeks · Cited by 10 · see citing works
Self-citationWOLF, W., & Presant, C. A. (2004) · Clinical Pharmacology & Therapeutics · doi:10.1016/j.clpt.2004.08.012 · Cited by 9 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Xuan, L., Ju, Z., Skonieczna, M., Zhou, P., & Huang, R. (2023) · MedComm · doi:10.1002/mco2.327 · Cited by 865 · see citing works
Wan, X., Beaudoin, J. J., Vinod, N., Min, Y., Makita, N., Bludau, H., Jordan, R., Wang, A., Sokolsky, M., & Kabanov, A. V. (2019) · Biomaterials · doi:10.1016/j.biomaterials.2018.10.032 · Cited by 201 · see citing works
The new era of nanotechnology, an alternative to change cancer treatment
Jurj, A. M., Braicu, C., Pop, L., Tomuleasa, C., Gherman, C. D., & Berindan‐Neagoe, I. (2017) · Drug Design Development and Therapy · doi:10.2147/dddt.s142337 · Cited by 201 · see citing works
In vitromicrofluidic models of tumor microenvironment to screen transport of drugs and nanoparticles
Özçelikkale, A., Moon, H., Linnes, M. P., & Han, B. (2017) · Wiley Interdisciplinary Reviews Nanomedicine and Nanobiotechnology · doi:10.1002/wnan.1460 · Cited by 88 · see citing works
Luo, R., Li, Y., He, M., Zhang, H., Yuan, H., Johnson, M. T., Palmisano, M., Zhou, S. Y., & Sun, D. (2017) · International Journal of Pharmaceutics · doi:10.1016/j.ijpharm.2017.01.002 · Cited by 69 · see citing works
Translational considerations in nanomedicine: The oncology perspective
Gabizón, A., de Rosales, R. T. M., & La-Beck, N. M. (2020) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2020.05.012 · Cited by 62 · see citing works
Transport Barriers and Oncophysics in Cancer Treatment
Nizzero, S., Žiemys, A., & Mauro Ferrari, B. (2018) · Trends in cancer · doi:10.1016/j.trecan.2018.02.008 · Cited by 61 · see citing works
Su, Y., Gao, J., Dong, X., Wheeler, K. A., & Wang, Z. (2023) · ACS Nano · doi:10.1021/acsnano.3c02013 · Cited by 50 · see citing works
Application of bismuth sulfide based nanomaterials in cancer diagnosis and treatment
Yang, Z., Wang, L., Zhang, J., Liu, J., & Yu, X. (2023) · Nano Today · doi:10.1016/j.nantod.2023.101799 · Cited by 41 · see citing works
Evaluating Nanoparticles in Preclinical Research Using Microfluidic Systems
Zhu, D., Long, Q., Xu, Y., & Xing, J. (2019) · Micromachines · doi:10.3390/mi10060414 · Cited by 41 · see citing works
Shen, H., Sun, T., Hoang, H. H., Burchfield, J. S., Hamilton, G. F., Mittendorf, E. A., & Mauro Ferrari, B. (2017) · Seminars in Immunology · doi:10.1016/j.smim.2017.09.002 · Cited by 37 · see citing works
Chen, W., Yang, S.-D., Li, F., Li, J., Yuan, Z.-Q., Zhu, W.-J., Liu, Y., Zhou, X., Liu, C., & Zhang, X. (2016) · International Journal of Pharmaceutics · doi:10.1016/j.ijpharm.2016.07.060 · Cited by 34 · see citing works
Revisiting the outstanding questions in cancer nanomedicine with a future outlook
Sudheesh, M. S., Pavithran, K., & Sabitha, M. (2021) · Nanoscale Advances · doi:10.1039/d1na00810b · Cited by 24 · see citing works
Popilski, H., Feinshtein, V., Kleiman, S., Mattarei, A., Garofalo, M., Salmaso, S., & Stepensky, D. (2020) · International Journal of Pharmaceutics · doi:10.1016/j.ijpharm.2020.120012 · Cited by 18 · see citing works
Žiemys, A., Yokoi, K., Kai, M., Liu, Y. T., Kojić, M., Simić, V., Milošević, M., Holder, A. M., & Mauro Ferrari, B. (2018) · Journal of Controlled Release · doi:10.1016/j.jconrel.2018.10.014 · Cited by 14 · see citing works
Self-citationKojić, M., Milošević, M., Kojić, N., Koay, E. J., Fleming, J. B., Mauro Ferrari, B., & Žiemys, A. (2016) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2016.06.026 · Cited by 13 · see citing works
Tumor progression effects on drug vector access to tumor-associated capillary bed
Kiseliovas, V., Milošević, M., Kojić, M., Mažutis, L., Kai, M., Liu, Y. T., Yokoi, K., Mauro Ferrari, B., & Žiemys, A. (2017) · Journal of Controlled Release · doi:10.1016/j.jconrel.2017.05.031 · Cited by 12 · see citing works
Self-citationLi, Y. F., Zhang, C., Zhou, S. Y., He, M., Zhang, H., Chen, N., Li, F., Luan, X., Pai, M. P., Yuan, H., et al. (2018) · Clinical Pharmacology Advances and Applications · doi:10.2147/cpaa.s185449 · Cited by 12 · see citing works
Subasic, C. N., Kuilamu, E., Cowin, G., Minchin, R. F., & Kaminskas, L. M. (2021) · Journal of Controlled Release · doi:10.1016/j.jconrel.2021.07.006 · Cited by 11 · see citing works
Imaging of Nanoparticle Distribution to Assess Treatments That Alter Delivery
Blocker, S. J., & Shields, A. F. (2017) · Molecular Imaging and Biology · doi:10.1007/s11307-017-1142-2 · Cited by 10 · see citing works
Tumor Site-Dependent Transport Properties Determine Nanotherapeutics Delivery and Its Efficacy
Kai, M., Žiemys, A., Liu, Y. T., Kojić, M., Mauro Ferrari, B., & Yokoi, K. (2019) · Translational Oncology · doi:10.1016/j.tranon.2019.05.011 · Cited by 9 · see citing works
Self-citationSukumar, U. K., Telichko, A. V., Wang, H., Hyun, D., Johnson, E. G., Kent, M. S., Rebhun, R. B., Dahl, J., Culp, W. T. N., & Paulmurugan, R. (2020) · Advanced Therapeutics · doi:10.1002/adtp.202000120 · Cited by 9 · see citing works
Liposomal Doxorubicin In vitro and In vivo Assays in Non-small Cell Lung Cancer: A Systematic Review
Guerrero, P. R., Córdoba-Peláez, P., Ramos‐Bossini, A. J. L., Rivera‐Izquierdo, M., Mesas, C., Ortíz, R., Prados, J. C., & Perazzoli, G. (2023) · Current Drug Delivery · doi:10.2174/0115672018272162231116093143 · Cited by 8 · see citing works
In VitroL6 Irritation Assay Predicts Clinical Injection Site Reactions for Small Molecules
Willy, J. A., Schulte, N. E., Kreklau, E. L., Walgren, J., Renninger, M. L., & Baker, T. K. (2016) · Toxicological Sciences · doi:10.1093/toxsci/kfw050 · Cited by 6 · see citing works
Albumin Binds Doxorubicin via Self–Assembling Dyes as Specific Polymolecular Ligands
Jagusiak, A., Chłopaś, K., Zemanek, G., Kościk, I., Skorek, P., & Stopa, B. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms23095033 · Cited by 6 · see citing works
Besanjideh, M., Shamloo, A., & Hannani, S. K. (2022) · Journal of drug targeting · doi:10.1080/1061186x.2022.2119478 · Cited by 5 · see citing works
Liu, Y. T., Goel, S., Kai, M., Moran-Guerrero, J. A., Nguyen, T. U., Mai, J., Shen, H., Žiemys, A., & Yokoi, K. (2021) · Pharmaceutics · doi:10.3390/pharmaceutics13040530 · Cited by 4 · see citing works
Self-citationMultiscale models for transport and biodistribution of therapeutics in cancer
Žiemys, A., Kojić, M., Milošević, M., Schrefler, B. A., & Mauro Ferrari, B. (2018) · Computer-aided chemical engineering/Computer aided chemical engineering · doi:10.1016/b978-0-444-63964-6.00007-6 · Cited by 4 · see citing works
Abdo, F. K., Ahmed, F., Shaheen, M. A., & Mostafa, S. A. (2019) · The Egyptian Journal of Histology · doi:10.21608/ejh.2019.7015.1061 · Cited by 4 · see citing works
Translational Aspect of Cancer Nanomedicine: Present Status and Future Perspectives
Jameel, M., Fatma, H., & Siddique, H. R. (2024) · Springer eBooks · doi:10.1007/978-981-97-3545-7_14 · Cited by 2 · see citing works
Xu, Y., Zhang, Q., Qie, H., Gao, X., Gao, J., Feng, Z., & Wang, M. (2025) · Drug Design Development and Therapy · doi:10.2147/dddt.s542030 · Cited by 2 · see citing works
Amonkar, S. G., & Naik, A. V. (2026) · Pharmacological Research - Reports · doi:10.1016/j.prerep.2026.100075 · Cited by 1 · see citing works
Ramírez-Moncayo, C., Restuadi, R., Zhang, G., Marks, D., Ortega-Prieto, P., Doherty, E., Lambie, N., Whilding, C., Andrew, I., Montoya, A., et al. (2026) · Nature Communications · doi:10.1038/s41467-026-70558-1 · Cited by 1 · see citing works
Intelligent Drug Delivery Systems
Mirić, A. N., & Milivojević, N. N. (2023) · Lecture notes in networks and systems · doi:10.1007/978-3-031-29717-5_21 · Cited by 1 · see citing works
Kojić, M. (2016) · Journal of the Serbian Society for Computational Mechanics · doi:10.5937/jsscm1601005k
Multiscale hierarchical models for diffusion in composite media and tissue
Kojić, M., Milošević, M., & Žiemys, A. (2022) · Elsevier eBooks · doi:10.1016/b978-0-323-88472-3.00005-0
- Authors
- Yokoi, K., Chan, D., Kojic, M., Milosevic, M., Engler, D., Matsunami, R., Tanei, T., Saito, Y., Ferrari, M., & Ziemys, A.
- Affiliations
- Houston Methodist (US)
- Venue
- Journal of Controlled Release
- Publisher
- Elsevier BV
- Published
- 2015-11
- Volume
- 217
- Pages
- 293-299
- ISSN
- 0168-3659 (ISSN-L)
- PMC
- PMC4623952
- OpenAlex
- W1790076696
- Cited by
- 36
- References
- 38
- Citations by year
- 2026: 2 · 2025: 1 · 2024: 1 · 2023: 5 · 2022: 3 · 2021: 3 · 2020: 3 · 2019: 3 · 2018: 5 · 2017: 6 · 2016: 4
- FWCI
- 1.81
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Journal of Controlled Release (acceptedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- Houston Methodist Research Institute
- Serbian Ministry of Education and Science (174028)
- National Institutes of Health (U54CA143837, U54CA151668)
- Ernest Cockrell Jr. Distinguished Endowed Chair
- US Department of Defense (W81XWH-09-1-0212)
- Topics
- Physical Sciences › Materials Science › Biomaterials › Nanoparticle-Based Drug Delivery
- Health Sciences › Medicine › Oncology › Drug Transport and Resistance Mechanisms
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Extracellular vesicles in disease
- Keywords
- doxorubicin, PEGylated liposomes, tumor microenvironment, 4T1 breast tumor, drug partitioning, tumor phenotype, nanotherapeutics, drug delivery
- MeSH terms
- Animals, Antineoplastic Agents, Doxorubicin, Mice, Inbred BALB C, Mice, Inbred C57BL, Neoplasms, Phenotype, Polyethylene Glycols, Cell Line, Tumor, Tumor Microenvironment
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