Nanoparticle-based drug delivery <i>via</i> RBC-hitchhiking for the inhibition of lung metastases growth

Zelepukin, Ivan V.; Yaremenko, A. V.; Shipunova, Victoria O.; Babenyshev, Andrey V.; Balalaeva, Irina V.; Никитин, П. И.; Deyev, Sergey M.; Nikitin, Maxim P.

doi:10.1039/c8nr07730d

Cited by 146 publications

(130 citation statements)

References 62 publications

Supporting

Mentioning

128

Contrasting

Order By: Relevance

“…Here, we report an erythrocyte hitchhiking platform, ELeCt, consisting of drug-loaded biodegradable NPs assembled on erythrocytes for promoting chemotherapy for effective lung metastasis treatment. Excellent studies have shown NPs hitchhiking on erythrocytes to accumulate in lungs, including recently in metastatic lungs (35); however, the ability of such a mechanism to yield survival benefits has not been known. To that end, we successfully demonstrate the ability of ELeCt to slow down the progression and improve the survival in early-and late-stage experimental melanoma metastasis models, resembling early detection and mid-to-late detection clinical scenarios, respectively.…”

Section: Discussionmentioning

confidence: 99%

Erythrocyte leveraged chemotherapy (ELeCt): Nanoparticle assembly on erythrocyte surface to combat lung metastasis

et al. 2019

View full text Add to dashboard Cite

Despite being the mainstay of cancer treatment, chemotherapy has shown limited efficacy for the treatment of lung metastasis due to ineffective targeting and poor tumor accumulation. Here, we report a highly effective erythrocyte leveraged chemotherapy (ELeCt) platform, consisting of biodegradable drug nanoparticles assembled onto the surface of erythrocytes, to enable chemotherapy for lung metastasis treatment. The ELeCt platform significantly extended the circulation time of the drug nanoparticles and delivered 10-fold higher drug content to the lung compared with the free nanoparticles. In both the early- and late-stage melanoma lung metastasis models, the ELeCt platform enabled substantial inhibition of tumor growth that resulted in significant improvement of survival. Further, the ELeCt platform can be used to deliver numerous approved chemotherapeutic drugs. Together, the findings suggest that the ELeCt platform offers a versatile strategy to enable chemotherapy for effective lung metastasis treatment.

show abstract

Section: Discussionmentioning

confidence: 99%

Erythrocyte leveraged chemotherapy (ELeCt): Nanoparticle assembly on erythrocyte surface to combat lung metastasis

et al. 2019

View full text Add to dashboard Cite

show abstract

“…In this article, we used Faster R‐CNN for precise quantitative analysis of particle–cell interactions evaluated by the IFC. The developed method can be useful for improvement of the particle efficiency in targeted gene/drug delivery, hyperthermia, magnetic imaging, biosensing, development of smart materials, and other applications . For example, it is possible to determine precisely optimal particle concentration and quantity of carried drugs for reliable cancer cell targeting and killing.…”

Section: Discussionmentioning

confidence: 99%

Precise Quantitative Analysis of Cell Targeting by Particle‐Based Agents Using Imaging Flow Cytometry and Convolutional Neural Network

et al. 2019

View full text Add to dashboard Cite

Understanding the intricacies of particle–cell interactions is essential for many applications such as imaging, phototherapy, and drug/gene delivery, because it is the key to accurate control of the particle properties for the improvement of their therapeutic and diagnostic efficiency. Recently, high‐throughput methods have emerged for the detailed investigation of these interactions. For example, imaging flow cytometry (IFC) collects up to 60,000 images of cells per second (in 12 optical channels) and provides information about morphology and organelle localization in combination with fluorescence and side scatter intensity data. However, analysis of IFC data is extremely difficult to perform using conventional methods that calculate integral parameters or use mask‐based object recognition. Here, we show application of a convolutional neural network (CNN) for precise quantitative analysis of particle targeting of cells using IFC data. CNN provides high‐throughput object detection with almost human precision but avoids the subjective choice of image processing parameters that often leads to incorrect data interpretation. The method allows accurate counting of cell‐bound particles with reliable discrimination from the nonbound particles in the field of view. The proposed method expands capabilities of spot counting applications (such as organelle counting, quantification of cell–cell and cell–bacteria interactions) and is going to be useful not only for high‐throughput analysis of IFC data but also for other imaging techniques. © 2019 International Society for Advancement of Cytometry

show abstract

“…In particular DNA, due to its intrinsic biocompatible, nontoxic and stable properties has been extensively investigated for designing programmable, self-assembling nanostructures for various biomedical applications, such as drug delivery, cellular biosensors and in vivo imaging. In the last years, our laboratory has been involved in the characterization of the structure of truncated octahedral DNA nanocages in silico and in vitro [1][2][3][4][5][6][7] . DNA nanocages are composed by twelve double helices, each one connected to four single stranded linkers, and are fully covalently bound, making the structure highly stable also in biological fluids.…”

Section: Rpc 04mentioning

confidence: 99%

Selected Conference Abstracts from “The Regulation of Proteostasis in Cancer”

2020

Cell Death Discov.

View full text Add to dashboard Cite

Nanoparticle-based drug delivery via RBC-hitchhiking for the inhibition of lung metastases growth

Abstract: RBC-hitchhiking regime is shown without prolongation of nanoparticle blood circulation but with the record 120-fold boost of particle delivery to lungs. The approach is efficient for treatment of pulmonary metastases.

Cited by 146 publications

References 62 publications

Erythrocyte leveraged chemotherapy (ELeCt): Nanoparticle assembly on erythrocyte surface to combat lung metastasis

Erythrocyte leveraged chemotherapy (ELeCt): Nanoparticle assembly on erythrocyte surface to combat lung metastasis

Precise Quantitative Analysis of Cell Targeting by Particle‐Based Agents Using Imaging Flow Cytometry and Convolutional Neural Network

Selected Conference Abstracts from “The Regulation of Proteostasis in Cancer”

Contact Info

Product

Resources

About