BP neural network model for material distribution prediction based on variable amplitude anti-blocking screening DEM simulations

Immunotherapy has been emerging as a potent strategy for cancer treatment. However, undesirable therapeutic efficacy remains a challenge, including low drug loading, imprecise targeting, and non-specific releasing. The drug delivery systems of immunotherapy play a key role in improving therapeutic efficacy and reducing side effects. To address these concerns, functional DNA nanostructures-based materials have been explored to achieve high loading capability, precise targeting, and controllable releasing. This review focuses on the crucial issues of delivery system for cancer immunotherapy and the strategies to improve the delivery efficacy. Specifically, recent advances in DNA nanostructures-based materials that promote the therapeutic efficacy of cancer immunotherapy through rational DNA sequence design to regulate the spatial distribution of immunotherapeutics loading are reviewed. The strategies to enhance precise targeting ability basing on nucleic acid aptamers and further enable immune checkpoint inhibitions are presented. The recent progress on the controllable release of immunotherapeutics triggered by specific stimulus is discussed. In the end, we provide insights for the subsequent realization of applications of DNA nanostructures-based materials for cancer immunotherapy in the future.

Authors

Institutions

Publication Details

Journal
Nano Research
Published
2024-12-13
DOI
https://doi.org/10.26599/nr.2025.94907178
Citations
3
Primary Topic
RNA Interference and Gene Delivery
Type
article
Field-Weighted Citation Impact
0.70

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

BP neural network model for material distribution prediction based on variable amplitude anti-blocking screening DEM simulations

Dayong Yang, Rui Zhang, Tailing Xue
3 citations
Nano Research
RNA Interference and Gene Delivery
0.70
article

BP neural network model for material distribution prediction based on variable amplitude anti-blocking screening DEM simulations

Dayong Yang, Rui Zhang, Tailing Xue
article en
3 citations

Abstract

Immunotherapy has been emerging as a potent strategy for cancer treatment. However, undesirable therapeutic efficacy remains a challenge, including low drug loading, imprecise targeting, and non-specific releasing. The drug delivery systems of immunotherapy play a key role in improving therapeutic efficacy and reducing side effects. To address these concerns, functional DNA nanostructures-based materials have been explored to achieve high loading capability, precise targeting, and controllable releasing. This review focuses on the crucial issues of delivery system for cancer immunotherapy and the strategies to improve the delivery efficacy. Specifically, recent advances in DNA nanostructures-based materials that promote the therapeutic efficacy of cancer immunotherapy through rational DNA sequence design to regulate the spatial distribution of immunotherapeutics loading are reviewed. The strategies to enhance precise targeting ability basing on nucleic acid aptamers and further enable immune checkpoint inhibitions are presented. The recent progress on the controllable release of immunotherapeutics triggered by specific stimulus is discussed. In the end, we provide insights for the subsequent realization of applications of DNA nanostructures-based materials for cancer immunotherapy in the future.

Nano ResearchVol. 18(7)
Fudan University (CN)
National Natural Science Foundation of China, Fudan University
Good health and well-being
Openalex Percentile: Top 28%
RNA Interference and Gene Delivery
0.70
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.