Evidence map›Paper›PMID 30239130›Full record

ArticleSmall (Weinheim an der Bergstrasse, Germany)2018

Scalable Multiplexed Drug-Combination Screening Platforms Using 3D Microtumor Model for Precision Medicine.

Zhixiong Zhang, Yu-Chih Chen, Sumithra Urs, Lili Chen, Diane M Simeone, Euisik Yoon

Open access · bronzeAbstract read
In one paragraph

Article in Small (Weinheim an der Bergstrasse, Germany), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
–field-weighted citation impact, top 100% 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

23 citing papers in PubMed, 0 citations in OpenAlex.

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  13. Three-dimensionalNeural regeneration research · 2022
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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 at 1 institution in 2 countries.

Zhixiong ZhangDepartment of Electrical Engineering and Computer Science, University of Michigan, 1301 Beal Avenue, Ann Arbor, MI, 48109-2122, USA.ORCID 0000-0001-6542-7257
Yu-Chih ChenDepartment of Electrical Engineering and Computer Science, University of Michigan, 1301 Beal Avenue, Ann Arbor, MI, 48109-2122, USA.
Sumithra UrsUniversity of Michigan Health System, Ann Arbor, MI, 48109, USA.
Lili ChenDepartment of Electrical Engineering and Computer Science, University of Michigan, 1301 Beal Avenue, Ann Arbor, MI, 48109-2122, USA.
Diane M SimeoneUniversity of Michigan Health System, Ann Arbor, MI, 48109, USA.
Euisik YoonDepartment of Electrical Engineering and Computer Science, University of Michigan, 1301 Beal Avenue, Ann Arbor, MI, 48109-2122, USA.
University of Michigan · US

Funding

Single Cell to Spheres in High-Throughput Microfluidics for Cancer Drug ScreeningR21CA175857 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI YOON, EUISIK · 2013 to 2014
$333k
NCI NIH HHS R21 CA175857NIH HHS 1R21CA17585701NIH HHS 1R21CA195016
6 · The paper itself

Abstract

Cancer heterogeneity is a notorious hallmark of this disease, and it is desirable to tailor effective treatments for each individual patient. Drug combinations have been widely accepted in cancer treatment for better therapeutic efficacy as compared to a single compound. However, experimental complexity and cost grow exponentially with more target compounds under investigation. The primary challenge remains to efficiently perform a large-scale drug combination screening using a small number of patient primary samples for testing. Here, a scalable, easy-to-use, high-throughput drug combination screening scheme is reported, which has the potential of screening all possible pairwise drug combinations for arbitrary number of drugs with multiple logarithmic mixing ratios. A "Christmas tree mixer" structure is introduced to generate a logarithmic concentration mixing ratio between drug pairs, providing a large drug concentration range for screening. A three-layer structure design and special inlets arrangement facilitate simple drug loading process. As a proof of concept, an 8-drug combination chip is implemented, which is capable of screening 172 different treatment conditions over 1032 3D cancer spheroids on a single chip. Using both cancer cell lines and patient-derived cancer cells, effective drug combination screening is demonstrated for precision medicine.

Indexed as

Cell Line, TumorDrug Evaluation, PreclinicalDrug Screening Assays, AntitumorHumansMicrofluidicsPrecision MedicineSpheroids, Cellular3D spheroiddrug combinationhigh-throughput drug screeningmicrofluidicsprecision medicine

Identifiers

PMID30239130
PMCPMC11893218
OpenAlexW2625794057

What OpenQuestion holds

Textmetadata
LicenceTDM
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.