Computational model of silica nanoparticle penetration into tumor spheroids: Effects of methoxy and carboxy PEG surface functionalization and hyperthermia. (24th June 2021)
- Record Type:
- Journal Article
- Title:
- Computational model of silica nanoparticle penetration into tumor spheroids: Effects of methoxy and carboxy PEG surface functionalization and hyperthermia. (24th June 2021)
- Main Title:
- Computational model of silica nanoparticle penetration into tumor spheroids: Effects of methoxy and carboxy PEG surface functionalization and hyperthermia
- Authors:
- Nagesetti, Abhignyan
Dulikravich, George S.
Orlande, Helcio R. B.
Colaco, Marcelo J.
McGoron, Anthony J. - Abstract:
- Abstract: Drug delivery to tumors suffers from poor solubility, specificity, diffusion through the tumor micro‐environment and nonoptimal interactions with components of the extracellular matrix and cell surface receptors. Nanoparticles and drug–polymer complexes address many of these problems. However, large size exasperates the problem of slow diffusion through the tumor. Three‐dimensional tumor spheroids are good models to evaluate approaches to mitigate these difficulties and aid in design strategies to improve the delivery of drugs to treat cancer effectively. Diffusion of drug carriers is highly dependent on cell uptake rate parameters (association/dissociation) and temperature. Hyperthermia increases molecular transport and is known to act synergistically with chemotherapy to improve treatment. This study presents a new inverse estimation approach based on Bayesian probability for estimating nanoparticle cell uptake rates from experiments. The parameters were combined with a finite element computational model of nanoparticle transport under hyperthermia conditions to explore its effect on tumor porosity, diffusion and particle binding (association and dissociation) at cell surfaces. Carboxy‐PEG‐silane (cPEGSi) nanoparticles showed higher cell uptake compared to methoxy‐PEG‐silane (mPEGSi) nanoparticles. Simulations were consistent with experimental results from Skov‐3 ovarian cancer spheroids. Amorphous silica (cPEGSi) nanoparticles (58 nm) concentrated at theAbstract: Drug delivery to tumors suffers from poor solubility, specificity, diffusion through the tumor micro‐environment and nonoptimal interactions with components of the extracellular matrix and cell surface receptors. Nanoparticles and drug–polymer complexes address many of these problems. However, large size exasperates the problem of slow diffusion through the tumor. Three‐dimensional tumor spheroids are good models to evaluate approaches to mitigate these difficulties and aid in design strategies to improve the delivery of drugs to treat cancer effectively. Diffusion of drug carriers is highly dependent on cell uptake rate parameters (association/dissociation) and temperature. Hyperthermia increases molecular transport and is known to act synergistically with chemotherapy to improve treatment. This study presents a new inverse estimation approach based on Bayesian probability for estimating nanoparticle cell uptake rates from experiments. The parameters were combined with a finite element computational model of nanoparticle transport under hyperthermia conditions to explore its effect on tumor porosity, diffusion and particle binding (association and dissociation) at cell surfaces. Carboxy‐PEG‐silane (cPEGSi) nanoparticles showed higher cell uptake compared to methoxy‐PEG‐silane (mPEGSi) nanoparticles. Simulations were consistent with experimental results from Skov‐3 ovarian cancer spheroids. Amorphous silica (cPEGSi) nanoparticles (58 nm) concentrated at the periphery of the tumor spheroids at 37°C but mild hyperthermia (43°C) increased nanoparticle penetration. Thus, hyperthermia may enhance cancer treatment by improving blood delivery to tumors, enhancing extravasation and penetration into tumors, trigger release of drug from the carrier at the tumor site and possibly lead to synergistic anti‐cancer activity with the drug. Abstract : Carboxy‐PEG‐silane functionalized silica nanoparticle transport through Skov‐3 ovarian tumor spheroids under normal temperature and hyperthermia conditions was modeled by (i) solving Fick's equation with reaction terms, (ii) modeling heat generation and thermal damage to cells, (iii) calculating changes in porosity of the spheroid and membrane rate constants, and (iv) iterating until the stopping criteria is reached. The model accurately predicted the experimentally observed increase in nanoparticle tumor penetration at 43°C compared to 37°C. … (more)
- Is Part Of:
- International journal for numerical methods in biomedical engineering. Volume 37:Number 8(2021)
- Journal:
- International journal for numerical methods in biomedical engineering
- Issue:
- Volume 37:Number 8(2021)
- Issue Display:
- Volume 37, Issue 8 (2021)
- Year:
- 2021
- Volume:
- 37
- Issue:
- 8
- Issue Sort Value:
- 2021-0037-0008-0000
- Page Start:
- n/a
- Page End:
- n/a
- Publication Date:
- 2021-06-24
- Subjects:
- chemotherapy -- confocal microscopy -- extracellular matrix -- finite element modeling -- Markov chain Monte Carlo -- nanomedicine
Biomedical engineering -- Periodicals
Imaging systems in medicine -- Periodicals
Numerical analysis -- Periodicals
Engineering mathematics -- Periodicals
610.28 - Journal URLs:
- http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)2040-7947 ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1002/cnm.3504 ↗
- Languages:
- English
- ISSNs:
- 2040-7939
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4542.403550
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 26832.xml