Breaking Down the Barriers to Precision Cancer Nanomedicine
Abstract
Nanomedicine offers unique advantages in treating human cancers. However, physiological and pathological barriers within normal and disease tissues, which are highly variable among individuals, often hinder its effectiveness. The body possesses specific innate responses to nanoparticles (NPs), which when combined with unique pathophysiological signatures in the tumor microenvironment, can severely limit the utility of nanomedicine in the oncological setting. Furthermore, with the successes of cancer immunotherapies, understanding nanoimmune interactions and developing immune-smart cancer nanomedicine that can take advantage of the body's immune functions will increasingly become clinically relevant. Therefore, a better understanding of the important native and acquired biological processes that dictate the fate of nanomedicine is integral to developing more effective individualized platforms for treating cancer patients.
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Nanomaterial properties such as size, geometry, material composition and surface chemistry can greatly influence the interactions of the nanomaterials with biological systems.
“For example, nanomaterial properties such as size, geometry, material composition and surface chemistry can greatly influence the interactions of the nanomaterials with biological systems49,50.”
From How to design preclinical studies in nanomedicine and cell therapy to maximize the prospects of clinical translation (2018) · cites this paper as [50]
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Jobsri, J., Allen, A., Rajagopal, D., Shipton, M. J., Kanyuka, K., Lomonossoff, G. P., Ottensmeier, C. H. H., Diebold, S. S., Stevenson, F. K., & Savelyeva, N. (2015) · PLoS ONE · doi:10.1371/journal.pone.0118096 · Cited by 70 · see citing works
Raghnaill, M. N., Bramini, M., Dong, Y., Couraud, P., Romero, I. A., Weksler, B. B., Åberg, C., Salvati, A. L., Lynch, I., & Dawson, K. A. (2013) · The Analyst · doi:10.1039/c3an01621h · Cited by 44 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Engineering precision nanoparticles for drug delivery
Mitchell, M. J., Billingsley, M. M., Haley, R. M., Wechsler, M. E., Peppas, N. A., & Langer, R. (2021) · Nature Reviews Drug Discovery · doi:10.1038/s41573-020-0090-8 · Cited by 7,933 · see citing works
Targeting Tumor Microenvironment for Cancer Therapy
Roma-Rodrigues, C., Mendes, R., Baptista, P. V., & Fernandes, A. R. (2019) · International Journal of Molecular Sciences · doi:10.3390/ijms20040840 · Cited by 1,187 · see citing works
Engineering nano-drug biointerface to overcome biological barriers toward precision drug delivery
Waheed, S., Li, Z., Zhang, F., Chiarini, A., Armato, U., & Wu, J. (2022) · Journal of Nanobiotechnology · doi:10.1186/s12951-022-01605-4 · Cited by 259 · see citing works
Ioannidis, J. P. A., Kim, B. Y. S., & Trounson, A. (2018) · Nature Biomedical Engineering · doi:10.1038/s41551-018-0314-y · Cited by 175 · see citing works
Self-citationNeurotheranostics as Personalized Medicines
Kevadiya, B. D., Ottemann, B. M., Thomas, M. B., Mukadam, I., Nigam, S., McMillan, J., Gorantla, S., Bronich, T. K., Edagwa, B., & Gendelman, H. E. (2019) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2018.10.011 · Cited by 124 · see citing works
Sun, Y., Zhao, Y., Zhao, X., Lee, R. J., Teng, L., & Zhou, C. (2017) · Molecules · doi:10.3390/molecules22101724 · Cited by 56 · see citing works
Drug Delivery Based on Nanotechnology for Target Bone Disease
Yang, X., Chen, S., Liu, X., Yu, M., & Liu, X. (2019) · Current Drug Delivery · doi:10.2174/1567201816666190917123948 · Cited by 15 · see citing works
Sun, Q., Yang, W., Song, Z., Lu, H., Shang, W., Li, H., Yang, Z., Gao, W., Li, Y., Xu, Y., et al. (2024) · Journal of the American Chemical Society · doi:10.1021/jacs.4c11988 · Cited by 6 · see citing works
- Authors
- von Roemeling, C., Jiang, W., Chan, C. K., Weissman, I. L., & Kim, B. Y. S.
- Affiliations
- The University of Texas MD Anderson Cancer Center (US)
- Stanford Medicine (US)
- Mayo Clinic (US)
- Corresponding author
- Jiang, Wen
- Kim, Betty Y.S.
- Venue
- Trends in Biotechnology
- Publisher
- Elsevier BV
- Published
- 2017-02
- Volume
- 35
- Issue
- 2
- Pages
- 159-171
- ISSN
- 0167-7799 (ISSN-L)
- OpenAlex
- W2481327576
- Cited by
- 330
- References
- 98
- Citations by year
- 2026: 9 · 2025: 18 · 2024: 35 · 2023: 36 · 2022: 44 · 2021: 44 · 2020: 47 · 2019: 47 · 2018: 27 · 2017: 22
- FWCI
- 1.71
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Trends in biotechnology (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Physical Sciences › Materials Science › Biomaterials › Nanoparticle-Based Drug Delivery
- Physical Sciences › Engineering › Biomedical Engineering › Nanoplatforms for cancer theranostics
- Life Sciences › Immunology and Microbiology › Immunology › Immunotherapy and Immune Responses
- Keywords
- cancer nanomedicine, precision oncology, tumor microenvironment, cancer immunotherapy
- MeSH terms
- Animals, Humans, Immunity, Innate, Immunotherapy, Neoplasms, Nanoparticles, Precision Medicine
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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