The DOI matches its Crossref record; 37 of the 37 references it cites were found in a registry or an index.
Hyaluronidase Embedded in Nanocarrier PEG Shell for Enhanced Tumor Penetration and Highly Efficient Antitumor Efficacy
Abstract
One of the major challenges in applying nanomedicines to cancer therapy is their low interstitial diffusion in solid tumors. Although the modification of nanocarrier surfaces with enzymes that degrade extracellular matrix is a promising strategy to improve nanocarrier diffusion in tumors, it remains challenging to apply this strategy in vivo via systemic administration of nanocarriers due to biological barriers, such as reduced blood circulation time of enzyme-modified nanocarriers, loss of enzyme function in vivo, and life-threatening side effects. Here, we report the conjugation of recombinant human hyaluronidase PH20 (rHuPH20), which degrades hyaluronic acid, on the surfaces of poly(lactic-co-glycolic acid)-b-polyethylene glycol (PLGA-PEG) nanoparticles followed by anchoring a relatively low density layer of PEG, which reduces the exposure of rHuPH20 for circumventing rHuPH20-mediated clearance. Despite the extremely short serum half-life of rHuPH20, our unique design maintains the function of rHuPH20 and avoids its effect on shortening nanocarrier blood circulation. We also show that rHuPH20 conjugated on nanoparticles is more efficient than free rHuPH20 in facilitating nanoparticle diffusion. The facile surface modification quadruples the accumulation of conventional PLGA-PEG nanoparticles in 4T1 syngeneic mouse breast tumors and enable their uniform tumor distribution. The rHuPH20-modified nanoparticles encapsulating doxorubicin efficiently inhibit the growth of aggressive 4T1 tumors under a low drug dose. Thus, our platform technology may be valuable to enhance the clinical efficacy of a broad range of drug nanocarriers. This study also provides a general strategy to modify nanoparticles with enzymes that otherwise may reduce nanoparticle circulation or lose function in the blood.
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Cites
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
Matsumura, Y., & Maeda, H. (1986) · PubMed · Cited by 6,781
Nanoparticles in cancer therapy and diagnosis
Brigger, I., Dubernet, C., & Couvreur, P. (2002) · Advanced Drug Delivery Reviews · doi:10.1016/s0169-409x(02)00044-3 · Cited by 3,039
Drug penetration in solid tumours
Minchinton, A. I., & Tannock, I. F. (2006) · Nature reviews. Cancer · doi:10.1038/nrc1893 · Cited by 2,805
Nanoparticles in Medicine: Therapeutic Applications and Developments
Zhang, L., Gu, F., Chan, J., Wang, A., Langer, R., & Farokhzad, O. (2008) · Clinical Pharmacology & Therapeutics · doi:10.1038/sj.clpt.6100400 · Cited by 2,657
Accumulation of sub-100 nm polymeric micelles in poorly permeable tumours depends on size
Cabral, H., Matsumoto, Y., Mizuno, K., Chen, Q., Murakami, M., Kimura, M., Terada, Y., Kano, M. R., Miyazono, K., Uesaka, M., et al. (2011) · Nature Nanotechnology · doi:10.1038/nnano.2011.166 · Cited by 2,429
Provenzano, P. P., Cuevas, C., Chang, A. E., Goel, V. K., Von Hoff, D. D., & Hingorani, S. R. (2012) · Cancer Cell · doi:10.1016/j.ccr.2012.01.007 · Cited by 2,195
O’Brien, M. E. R., Wigler, N., Inbar, M., Rosso, R., Grischke, E., Santoro, A., Catane, R., Kieback, D. G., Tomczak, P., Ackland, S. P., et al. (2004) · Annals of Oncology · doi:10.1093/annonc/mdh097 · Cited by 1,738
Formulation of functionalized PLGA-PEG Nanoparticles for in vivo targeted drug delivery
Cheng, J., Teply, B. A., Sherifi, I., Sung, J., Luther, G., Gu, F. X., Levy-Nissenbaum, E., Radovic-Moreno, A. F., Langer, R., & Farokhzad, O. C. (2007) · Biomaterials · doi:10.1016/j.biomaterials.2006.09.047 · Cited by 1,273
Hrkach, J., Von Hoff, D., Ali, M. M., Andrianova, E., Auer, J., Campbell, T., De Witt, D., Figa, M., Figueiredo, M., Horhota, A., et al. (2012) · Science Translational Medicine · doi:10.1126/scitranslmed.3003651 · Cited by 1,147
Cited by
Dai, Y., Xu, C., Sun, X., & Chen, X. (2017) · Chemical Society Reviews · doi:10.1039/c6cs00592f · Cited by 931
Nunes, A. S., Barros, A. S., Costa, E. C., Moreira, A. F., & Correia, I. J. (2019) · Biotechnology and Bioengineering · doi:10.1002/bit.26845 · Cited by 721
The Use of Alternative Strategies for Enhanced Nanoparticle Delivery to Solid Tumors
Izci, M., Maksoudian, C., Manshian, B. B., & Soenen, S. J. (2021) · Chemical Reviews · doi:10.1021/acs.chemrev.0c00779 · Cited by 506
Integrating Artificial Intelligence and Nanotechnology for Precision Cancer Medicine
Adir, O., Poley, M., Chen, G., Froim, S., Krinsky, N., Shklover, J., Shainsky‐Roitman, J., Lammers, T., & Schroeder, A. (2020) · Advanced Materials · doi:10.1002/adma.201901989 · Cited by 496
Jiang, Q., Liu, Y., Guo, R., Yao, X., Sung, S., Pang, Z., & Yang, W. (2019) · Biomaterials · doi:10.1016/j.biomaterials.2018.11.021 · Cited by 398
Metadata
- Authors
- Zhou, H., Fan, Z., Deng, J., Lemons, P. K., Arhontoulis, D. C., Bowne, W. B., & Cheng, H.
- Venue
- Nano Letters
- Publisher
- American Chemical Society (ACS)
- Published
- 2016-04-08
- Volume
- 16
- Issue
- 5
- Pages
- 3268-3277
- ISSN
- 1530-6984 (ISSN-L)
- 1530-6992
- OpenAlex
- W2326188833
- Cited by
- 293
- References
- 37
- FWCI
- 10.40
- Type
- journal article
- Language
- en
- Open access
- closed
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- The paper
- Zhou, H., Fan, Z., Deng, J., Lemons, P. K., Arhontoulis, D. C., Bowne, W. B., & Cheng, H. (2016). Hyaluronidase Embedded in Nanocarrier PEG Shell for Enhanced Tumor Penetration and Highly Efficient Antitumor Efficacy. Nano Letters. https://doi.org/10.1021/acs.nanolett.6b00820
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