Evidence map›Paper›PMID 35858898›Full record

ReviewJournal of nanobiotechnology2022

Tumor-on-a-chip model for advancement of anti-cancer nano drug delivery system.

Chutong Tian, Shunzhe Zheng, Xinying Liu, Ken-Ichiro Kamei

Open access · goldAbstract readReview
In one paragraph

Review in Journal of nanobiotechnology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
6.2field-weighted citation impact, top 2% of its field
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

28 citing papers in PubMed, 78 citations in OpenAlex.

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  16. Translational Challenges in Cancer Nanotherapy.Advanced pharmaceutical bulletin · 2024
    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

4 authors at 1 institution in 1 country.

Chutong TianDepartment of Pharmaceutics, Wuya College of Innovation, Shenyang Pharmaceutical University, Shenyang, 110016, Liaoning, People's Republic of China.
Shunzhe ZhengDepartment of Pharmaceutics, Wuya College of Innovation, Shenyang Pharmaceutical University, Shenyang, 110016, Liaoning, People's Republic of China.
Xinying LiuDepartment of Pharmaceutics, Wuya College of Innovation, Shenyang Pharmaceutical University, Shenyang, 110016, Liaoning, People's Republic of China.
Ken-Ichiro KameiDepartment of Pharmaceutics, Wuya College of Innovation, Shenyang Pharmaceutical University, Shenyang, 110016, Liaoning, People's Republic of China. kamei.kenichiro.7r@kyoto-u.ac.jp.
Shenyang Pharmaceutical University · CN

Funding

Japan Society for the Promotion of Science JSPS; 21H01728Liaoning Provincial Department of Education program LJKZ0940Liaoning Revitalization Talents Program XLYC1902061National Natural Science Foundation of China 82104109
6 · The paper itself

Abstract

Despite explosive growth in the development of nano-drug delivery systems (NDDS) targeting tumors in the last few decades, clinical translation rates are low owing to the lack of efficient models for evaluating and predicting responses. Microfluidics-based tumor-on-a-chip (TOC) systems provide a promising approach to address these challenges. The integrated engineered platforms can recapitulate complex in vivo tumor features at a microscale level, such as the tumor microenvironment, three-dimensional tissue structure, and dynamic culture conditions, thus improving the correlation between results derived from preclinical and clinical trials in evaluating anticancer nanomedicines. The specific focus of this review is to describe recent advances in TOCs for the evaluation of nanomedicine, categorized into six sections based on the drug delivery process: circulation behavior after infusion, endothelial and matrix barriers, tumor uptake, therapeutic efficacy, safety, and resistance. We also discuss current issues and future directions for an end-use perspective of TOCs.

Indexed as

Nanoparticle Drug Delivery SystemNeoplasmsHumansLab-On-A-Chip DevicesMicrofluidicsNanomedicineTumor MicroenvironmentNanoparticle Drug Delivery SystemDrug delivery processMicrofluidic deviceNanomedicinesPreclinical predictionTumor-on-a-Chip

Identifiers

PMID35858898
PMCPMC9301849
OpenAlexW4286008684

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.