Evidence map›Paper›PMID 42919908›Full record

ArticleNature biomedical engineering2026

Gradient-driven microfluidic framework for the screening of ratiometric drug combinations towards precision oncology in paediatric leukaemia.

E Kendall Williams, Dan Y Zhang, Theodora T Alese, Ryan J Summers, Jamie O Musick, Sunita I Park, Reginald Tran, Melissa L Kemp, Christopher C Porter, Wilbur A Lam

Abstract read
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Article in Nature biomedical engineering, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

E Kendall Williams *Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, Georgia, USA.ORCID http://orcid.org/0000-0002-3400-2237
Dan Y Zhang *George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, Georgia, USA.
Theodora T AleseWallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, Georgia, USA.ORCID http://orcid.org/0009-0004-1412-6963
Ryan J SummersAflac Cancer and Blood Disorders Center of Children's Healthcare of Atlanta, Atlanta, Georgia, USA.ORCID http://orcid.org/0000-0002-3621-8664
Jamie O MusickAflac Cancer and Blood Disorders Center of Children's Healthcare of Atlanta, Atlanta, Georgia, USA.
Sunita I ParkWallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, Georgia, USA.
Reginald TranWallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, Georgia, USA.
Melissa L KempWallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, Georgia, USA.ORCID http://orcid.org/0000-0003-3781-8802
Christopher C PorterAflac Cancer and Blood Disorders Center of Children's Healthcare of Atlanta, Atlanta, Georgia, USA.ORCID http://orcid.org/0000-0001-8774-0180
Wilbur A LamWallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, Georgia, USA. wilbur.lam@emory.edu.ORCID http://orcid.org/0000-0002-0325-7990

Funding

National Science Foundation (NSF) 1937971
6 · The paper itself

Abstract

Improving outcomes for high-risk acute lymphoblastic leukaemia (ALL) patients requires increasingly personalized treatment strategies that leverage molecular and omics-based assays as well as functional screens. However, to date, only a few of these approaches are clinically actionable and easily adopted in clinical settings. To that end, we report a combination drug screening assay (GradientScreen) that correlates with clinical outcomes using standard paediatric ALL treatment protocols. This assay uses a microfluidic device to generate overlapping drug gradients and implements an analysis framework that characterizes drug synergy and efficacy in a ratiometric manner. Using partial least squares regression, we show that our combination response metrics correlate with both minimal residual disease (MRD) following initiation of treatment and later clinical end-points. Here, we further demonstrate that this system could be used to evaluate response to experimental therapeutic regimens in patients who did not respond to standard treatment. This assay can serve as a research-enabling tool for the field, with potential to integrate into clinical pathology workflows to identify difficult-to-treat ALL patients and screen for alternative treatment strategies at diagnosis.

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Registered trials

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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.