Evidence map›Paper›PMID 28952543›Full record

ReviewBioengineering (Basel, Switzerland)2017

Tumor Microenvironment on a Chip: The Progress and Future Perspective.

Jungho Ahn, Yoshitaka J Sei, Noo Li Jeon, YongTae Kim

Open access · goldAbstract readReview
In one paragraph

Review in Bioengineering (Basel, Switzerland), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
4.6field-weighted citation impact, top 5% 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

32 citing papers in PubMed, 70 citations in OpenAlex.

  1. Article
  2. Review
  3. Advanced Microfluidics for Single Cell-Based Cancer Research.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    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

4 authors at 2 institutions in 2 countries.

Jungho AhnGeorge W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA. ahnjungho0513@gmail.com.
Yoshitaka J SeiGeorge W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA. yoshi.john@gmail.com.
Noo Li JeonSchool of Mechanical and Aerospace Engineering, Seoul National University, Seoul 151-744, Korea. njeon@snu.ac.kr.
YongTae KimGeorge W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA. ytkim@gatech.edu.
Georgia Institute of Technology · USSeoul National University · KR

Funding

Research Training Program Plan on Cell and Tissue Engineering (CTEng)T32GM008433 · NIGMS · GEORGIA INSTITUTE OF TECHNOLOGY · PI GARCIA, ANDRES J · 1991 to 2021
$7.1M
NIGMS NIH HHS T32 GM008433
6 · The paper itself

Abstract

Tumors develop in intricate microenvironments required for their sustained growth, invasion, and metastasis. The tumor microenvironment plays a critical role in the malignant or drug resistant nature of tumors, becoming a promising therapeutic target. Microengineered physiological systems capable of mimicking tumor environments are one emerging platform that allows for quantitative and reproducible characterization of tumor responses with pathophysiological relevance. This review highlights the recent advancements of engineered tumor microenvironment systems that enable the unprecedented mechanistic examination of cancer progression and metastasis. We discuss the progress and future perspective of these microengineered biomimetic approaches for anticancer drug prescreening applications.

Indexed as

drug screeningin vitro disease modelsmicrofluidicsnanomedicineorgan-on-a-chiptumor microenvironment

Identifiers

PMID28952543
PMCPMC5615310
OpenAlexW2736644389

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.