Evidence map›Paper›PMID 33077832›Full record

ArticleNature communications2020

Automated microfluidic platform for dynamic and combinatorial drug screening of tumor organoids.

Brooke Schuster, Michael Junkin, Sara Saheb Kashaf, Isabel Romero-Calvo, Kori Kirby, Jonathan Matthews, Christopher R Weber, Andrey Rzhetsky, Kevin P White, Savaş Tay

Open access · goldAbstract readEvaluation Study
In one paragraph

Article in Nature communications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 219 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
219citing papers in PubMed, 4 pooled it
17.4field-weighted citation impact, top 1% 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

219 citing papers in PubMed, 4 syntheses or guidelines pooled it, 386 citations in OpenAlex.

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  17. New developments and applications of human organoids.Nature reviews. Molecular cell biology · 2026
    Review
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159 more citing papers are in PubMed but not listed here.

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

10 authors at 1 institution in 2 countries.

Brooke SchusterPritzker School of Molecular Engineering, The University of Chicago, Chicago, IL, 60637, USA.ORCID 0000-0002-7070-6143
Michael JunkinPritzker School of Molecular Engineering, The University of Chicago, Chicago, IL, 60637, USA.ORCID 0000-0001-6368-4700
Sara Saheb KashafPritzker School of Molecular Engineering, The University of Chicago, Chicago, IL, 60637, USA.ORCID 0000-0003-1079-6009
Isabel Romero-CalvoInstitute for Genomics and Systems Biology, The University of Chicago, Chicago, IL, 60637, USA.
Kori KirbyInstitute for Genomics and Systems Biology, The University of Chicago, Chicago, IL, 60637, USA.
Jonathan MatthewsPritzker School of Molecular Engineering, The University of Chicago, Chicago, IL, 60637, USA.
Christopher R WeberDepartment of Pathology, The University of Chicago Medicine, Chicago, IL, 60637, USA.
Andrey RzhetskyInstitute for Genomics and Systems Biology, The University of Chicago, Chicago, IL, 60637, USA.ORCID 0000-0001-6959-7405
Kevin P WhiteInstitute for Genomics and Systems Biology, The University of Chicago, Chicago, IL, 60637, USA.
Savaş TayPritzker School of Molecular Engineering, The University of Chicago, Chicago, IL, 60637, USA. tays@uchicago.edu.ORCID 0000-0002-1912-6020
University of Chicago · US

Funding

ULTRASTRUCTURE AND CYTOMORPHOLOGY COREP30DK042086 · NIDDK · UNIVERSITY OF CHICAGO · PI CHANG, EUGENE B · 1990 to 2025
$29.8M
Ruth L. Kirschstein National Research Service Award (NRSA) Institutional Research Training Grant (Parent T32)T32HD007009 · NICHD · UNIVERSITY OF CHICAGO · PI NANCY B SCHWARTZ · 1985 to 2026
$13.0M
Ultra-Sensitive Multiplexed Quantification of Proteins Secreted from Single-Cells - Resubmission 01R01GM127527 · NIGMS · UNIVERSITY OF CHICAGO · PI TAY, SAVAS · 2019 to 2022
$1.6M
NICHD NIH HHS T32 HD007009NIDDK NIH HHS P30 DK042086NIGMS NIH HHS R01 GM127527
6 · The paper itself

Abstract

Three-dimensional (3D) cell culture technologies, such as organoids, are physiologically relevant models for basic and clinical applications. Automated microfluidics offers advantages in high-throughput and precision analysis of cells but is not yet compatible with organoids. Here, we present an automated, high-throughput, microfluidic 3D organoid culture and analysis system to facilitate preclinical research and personalized therapies. Our system provides combinatorial and dynamic drug treatments to hundreds of cultures and enables real-time analysis of organoids. We validate our system by performing individual, combinatorial, and sequential drug screens on human-derived pancreatic tumor organoids. We observe significant differences in the response of individual patient-based organoids to drug treatments and find that temporally-modified drug treatments can be more effective than constant-dose monotherapy or combination therapy in vitro. This integrated platform advances organoids models to screen and mirror real patient treatment courses with potential to facilitate treatment decisions for personalized therapy.

Indexed as

Antineoplastic AgentsAutomationCell Culture TechniquesDrug Screening Assays, AntitumorHumansMicrofluidicsOrganoidsPancreatic NeoplasmsAntineoplastic Agents

Identifiers

PMID33077832
PMCPMC7573629
OpenAlexW3092854160

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.