Evidence map›Paper›PMID 39289401›Full record

ReviewNature communications2024

Transvascular transport of nanocarriers for tumor delivery.

Xin Li, Yong Hu, Xingcai Zhang, Xiangyang Shi, Wolfgang J Parak, Andrij Pich

Abstract readReview
In one paragraph

Review in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers.

0numbers the graph read from it
0cells of the map it votes in
57citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

57 citing papers in PubMed.

  1. Review
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  12. Highly Biomimetic Ectodermal Epithelial Organoids for Epithelial Barrier Stimulation Assays.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  13. Machine-Learning Microfluidic Minute-Scale Microorganism Metrics Monitoring(M6).Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Xin LiDWI-Leibniz-Institute for Interactive Materials, Aachen, 52056, Germany.ORCID http://orcid.org/0000-0002-7837-7874
Yong HuDepartment of Polymeric Materials, School of Materials Science and Engineering, Tongji University, Shanghai, 201804, China.ORCID http://orcid.org/0000-0003-1425-6093
Xingcai ZhangDepartment of Materials Science and Engineering, Stanford University, Stanford, CA, 94305, USA. xingcai@stanford.edu.ORCID http://orcid.org/0000-0001-7114-1095
Xiangyang ShiShanghai Engineering Research Center of Nano-Biomaterials and Regenerative Medicine, College of Biological Science and Medical Engineering, Donghua University, Shanghai, 201620, China.ORCID http://orcid.org/0000-0001-6785-6645
Wolfgang J ParakCenter for Hybrid Nanostructures (CHyN), University of Hamburg, Hamburg, 20607, Germany. wolfgang.parak@uni-hamburg.de.ORCID http://orcid.org/0000-0003-1672-6650
Andrij PichDWI-Leibniz-Institute for Interactive Materials, Aachen, 52056, Germany. pich@dwi.rwth-aachen.de.ORCID http://orcid.org/0000-0003-1825-7798

Funding

Deutsche Forschungsgemeinschaft (German Research Foundation) PA749/21-2Deutsche Forschungsgemeinschaft (German Research Foundation) PAK961
6 · The paper itself

Abstract

Nanocarriers (NCs) play a crucial role in delivering theranostic agents to tumors, making them a pivotal focus of research. However, the persistently low delivery efficiency of engineered NCs has been a significant challenge in the advancement of nanomedicine, stirring considerable debate. Transvascular transport is a critical pathway for NC delivery from vessels to tumors, yet a comprehensive understanding of the interactions between NCs and vascular systems remains elusive. In recent years, considerable efforts have been invested in elucidating the transvascular transport mechanisms of NCs, leading to promising advancements in tumor delivery and theranostics. In this context, we highlight various delivery mechanisms, including the enhanced permeability and retention effect, cooperative immune-driven effect, active transcytosis, and cell/bacteria-mediated delivery. Furthermore, we explore corresponding strategies aimed at enhancing transvascular transport of NCs for efficient tumor delivery. These approaches offer intriguing solutions spanning physicochemical, biological, and pharmacological domains to improve delivery and therapeutic outcomes. Additionally, we propose a forward-looking delivery framework that relies on advanced tumor/vessel models, high-throughput NC libraries, nano-bio interaction datasets, and artificial intelligence, which aims to guide the design of next-generation carriers and implementation strategies for optimized delivery.

Indexed as

Drug CarriersDrug Delivery SystemsNanoparticlesNeoplasmsAnimalsAntineoplastic AgentsBiological TransportHumansNanomedicineTheranostic NanomedicineTranscytosisAntineoplastic AgentsDrug Carriers

Identifiers

PMID39289401
PMCPMC11408679

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.