Evidence map›Paper›PMID 40693635›Full record

ReviewMacromolecular bioscience2025

Vascularized Tumor-on-a-Chip Model as a Platform for Studying Tumor-Microenvironment-Drug Interaction.

Hyelim Kim, Seung-Woo Cho, Hong Nam Kim

Abstract readReview
In one paragraph

Review in Macromolecular bioscience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
–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

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
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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

3 authors.

Hyelim KimDepartment of Biotechnology, Yonsei University, Seoul, Republic of Korea.
Seung-Woo ChoDepartment of Biotechnology, Yonsei University, Seoul, Republic of Korea.
Hong Nam KimBrain Science Institute, Korea Institute of Science and Technology (KIST), Seoul, Republic of Korea.ORCID 0000-0002-0329-0029

Funding

KIST Institutional Program 2E33712Korea-US Collaborative Research FundMinistry of Food and Drug Safety RS-2024-00332024Ministry of Health and Welfare RS-2024-00467213Ministry of Science and ICTNational Research Foundation of Korea RS-2024-00346657National Research Foundation of Korea RS-2024-00395393National Research Foundation of Korea RS-2024-00424551
6 · The paper itself

Abstract

As cancer-targeting technologies advance, robust platforms for evaluating drug delivery systems (DDS) under pathomimetic conditions are critically needed. Traditional models inadequately mimic human tumor microenvironment (TME) complexity due to interspecies variance, structural simplification, and static perfusion. Vascularized tumor-on-a-chip systems address these gaps by integrating perfusable vasculature with tumor-stroma dynamics in microfluidic environments, enabling dynamic 3D evaluation of drug transport kinetics and therapeutic efficacy. These advances significantly enhance preclinical-to-clinical translatability, though challenges remain in achieving long-term vascular stability and multi-tissue integration under physiological flow conditions. Herein, we summarize recent progress in vascularized tumor-on-a-chip technologies for assessing DDS performance and TME interactions. Finally, opportunities for precision oncology and integrative organ-level modeling are highlighted, underscoring the transformative potential of these platforms in next-generation cancer research.

Indexed as

Antineoplastic AgentsDrug Delivery SystemsLab-On-A-Chip DevicesModels, BiologicalNeoplasmsNeovascularization, PathologicTumor MicroenvironmentAnimalsHumansAntineoplastic Agentsdrug deliverymicrophysiological systemtumor microenvironmenttumor‐on‐a‐chip

Identifiers

PMID40693635
PMCPMC12530703

What Socratic 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 Socratic graph.