@article{sykes_tailoring_2016,
	title = {Tailoring nanoparticle designs to target cancer based on tumor pathophysiology},
	volume = {113},
	copyright = {©  . http://www.pnas.org.myaccess.library.utoronto.ca/preview\_site/misc/userlicense.xhtml},
	issn = {0027-8424, 1091-6490},
	url = {http://www.pnas.org/content/113/9/E1142},
	doi = {10.1073/pnas.1521265113},
	abstract = {Nanoparticles can provide significant improvements in the diagnosis and treatment of cancer. How nanoparticle size, shape, and surface chemistry can affect their accumulation, retention, and penetration in tumors remains heavily investigated, because such findings provide guiding principles for engineering optimal nanosystems for tumor targeting. Currently, the experimental focus has been on particle design and not the biological system. Here, we varied tumor volume to determine whether cancer pathophysiology can influence tumor accumulation and penetration of different sized nanoparticles. Monte Carlo simulations were also used to model the process of nanoparticle accumulation. We discovered that changes in pathophysiology associated with tumor volume can selectively change tumor uptake of nanoparticles of varying size. We further determine that nanoparticle retention within tumors depends on the frequency of interaction of particles with the perivascular extracellular matrix for smaller nanoparticles, whereas transport of larger nanomaterials is dominated by Brownian motion. These results reveal that nanoparticles can potentially be personalized according to a patient’s disease state to achieve optimal diagnostic and therapeutic outcomes.},
	language = {en},
	number = {9},
	urldate = {2021-11-06},
	journal = {PNAS},
	author = {Sykes, Edward A. and Dai, Qin and Sarsons, Christopher D. and Chen, Juan and Rocheleau, Jonathan V. and Hwang, David M. and Zheng, Gang and Cramb, David T. and Rinker, Kristina D. and Chan, Warren C. W.},
	month = mar,
	year = {2016},
	pmid = {26884153},
	note = {Publisher: National Academy of Sciences
Section: PNAS Plus},
	keywords = {cancer, nano–bio interactions, nanoparticles, targeting, tumor},
	pages = {E1142--E1151},
	file = {Full Text PDF:files/1991/Sykes et al. - 2016 - Tailoring nanoparticle designs to target cancer ba.pdf:application/pdf;Snapshot:files/1993/E1142.html:text/html},
	url_Paper = {https://inbs.med.utoronto.ca/wp-content/uploads/2020/08/E1142.full_.pdf}
}

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How nanoparticle size, shape, and surface chemistry can affect their accumulation, retention, and penetration in tumors remains heavily investigated, because such findings provide guiding principles for engineering optimal nanosystems for tumor targeting. Currently, the experimental focus has been on particle design and not the biological system. Here, we varied tumor volume to determine whether cancer pathophysiology can influence tumor accumulation and penetration of different sized nanoparticles. Monte Carlo simulations were also used to model the process of nanoparticle accumulation. We discovered that changes in pathophysiology associated with tumor volume can selectively change tumor uptake of nanoparticles of varying size. We further determine that nanoparticle retention within tumors depends on the frequency of interaction of particles with the perivascular extracellular matrix for smaller nanoparticles, whereas transport of larger nanomaterials is dominated by Brownian motion. These results reveal that nanoparticles can potentially be personalized according to a patient’s disease state to achieve optimal diagnostic and therapeutic outcomes.","language":"en","number":"9","urldate":"2021-11-06","journal":"PNAS","author":[{"propositions":[],"lastnames":["Sykes"],"firstnames":["Edward","A."],"suffixes":[]},{"propositions":[],"lastnames":["Dai"],"firstnames":["Qin"],"suffixes":[]},{"propositions":[],"lastnames":["Sarsons"],"firstnames":["Christopher","D."],"suffixes":[]},{"propositions":[],"lastnames":["Chen"],"firstnames":["Juan"],"suffixes":[]},{"propositions":[],"lastnames":["Rocheleau"],"firstnames":["Jonathan","V."],"suffixes":[]},{"propositions":[],"lastnames":["Hwang"],"firstnames":["David","M."],"suffixes":[]},{"propositions":[],"lastnames":["Zheng"],"firstnames":["Gang"],"suffixes":[]},{"propositions":[],"lastnames":["Cramb"],"firstnames":["David","T."],"suffixes":[]},{"propositions":[],"lastnames":["Rinker"],"firstnames":["Kristina","D."],"suffixes":[]},{"propositions":[],"lastnames":["Chan"],"firstnames":["Warren","C.","W."],"suffixes":[]}],"month":"March","year":"2016","pmid":"26884153","note":"Publisher: National Academy of Sciences Section: PNAS Plus","keywords":"cancer, nano–bio interactions, nanoparticles, targeting, tumor","pages":"E1142–E1151","file":"Full Text PDF:files/1991/Sykes et al. - 2016 - Tailoring nanoparticle designs to target cancer ba.pdf:application/pdf;Snapshot:files/1993/E1142.html:text/html","url_paper":"https://inbs.med.utoronto.ca/wp-content/uploads/2020/08/E1142.full_.pdf","bibtex":"@article{sykes_tailoring_2016,\n\ttitle = {Tailoring nanoparticle designs to target cancer based on tumor pathophysiology},\n\tvolume = {113},\n\tcopyright = {© . http://www.pnas.org.myaccess.library.utoronto.ca/preview\\_site/misc/userlicense.xhtml},\n\tissn = {0027-8424, 1091-6490},\n\turl = {http://www.pnas.org/content/113/9/E1142},\n\tdoi = {10.1073/pnas.1521265113},\n\tabstract = {Nanoparticles can provide significant improvements in the diagnosis and treatment of cancer. How nanoparticle size, shape, and surface chemistry can affect their accumulation, retention, and penetration in tumors remains heavily investigated, because such findings provide guiding principles for engineering optimal nanosystems for tumor targeting. Currently, the experimental focus has been on particle design and not the biological system. Here, we varied tumor volume to determine whether cancer pathophysiology can influence tumor accumulation and penetration of different sized nanoparticles. Monte Carlo simulations were also used to model the process of nanoparticle accumulation. We discovered that changes in pathophysiology associated with tumor volume can selectively change tumor uptake of nanoparticles of varying size. We further determine that nanoparticle retention within tumors depends on the frequency of interaction of particles with the perivascular extracellular matrix for smaller nanoparticles, whereas transport of larger nanomaterials is dominated by Brownian motion. These results reveal that nanoparticles can potentially be personalized according to a patient’s disease state to achieve optimal diagnostic and therapeutic outcomes.},\n\tlanguage = {en},\n\tnumber = {9},\n\turldate = {2021-11-06},\n\tjournal = {PNAS},\n\tauthor = {Sykes, Edward A. and Dai, Qin and Sarsons, Christopher D. and Chen, Juan and Rocheleau, Jonathan V. and Hwang, David M. and Zheng, Gang and Cramb, David T. and Rinker, Kristina D. and Chan, Warren C. W.},\n\tmonth = mar,\n\tyear = {2016},\n\tpmid = {26884153},\n\tnote = {Publisher: National Academy of Sciences\nSection: PNAS Plus},\n\tkeywords = {cancer, nano–bio interactions, nanoparticles, targeting, tumor},\n\tpages = {E1142--E1151},\n\tfile = {Full Text PDF:files/1991/Sykes et al. - 2016 - Tailoring nanoparticle designs to target cancer ba.pdf:application/pdf;Snapshot:files/1993/E1142.html:text/html},\n\turl_Paper = {https://inbs.med.utoronto.ca/wp-content/uploads/2020/08/E1142.full_.pdf}\n}\n\n","author_short":["Sykes, E. A.","Dai, Q.","Sarsons, C. D.","Chen, J.","Rocheleau, J. V.","Hwang, D. M.","Zheng, G.","Cramb, D. T.","Rinker, K. D.","Chan, W. C. 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