Evidence map›Paper›PMID 42138089›Full record

ArticleAdvanced healthcare materials2026

Functional Precision Oncology Approach Using Nanoliter Droplet Array for Drug Sensitivity Testing in Lung Cancer.

Maryam Salarian, Vicky L Schiling, Thomas Muley, Michael Allgäuer, Florian Eichhorn, Michael Meister, Marc A Schneider, Anna A Popova

Abstract read
In one paragraph

Article in Advanced healthcare materials, 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

8 authors.

Maryam SalarianInstitute of Biological and Chemical Systems-Functional Molecular Systems (IBCS-FMS), Karlsruhe Institute of Technology (KIT), Eggenstein-Leopoldshafen, Germany.
Vicky L SchilingInstitute of Biological and Chemical Systems-Functional Molecular Systems (IBCS-FMS), Karlsruhe Institute of Technology (KIT), Eggenstein-Leopoldshafen, Germany.
Thomas MuleyTranslational Research Unit (STF), Thoraxklinik at Heidelberg University Hospital, Heidelberg, Germany.
Michael AllgäuerInstitute of Pathology, Heidelberg University Hospital, Heidelberg, Germany.
Florian EichhornTranslational Lung Research Center Heidelberg (TLRC), Member of the German Center for Lung Research (DZL), Heidelberg, Germany.
Michael MeisterTranslational Research Unit (STF), Thoraxklinik at Heidelberg University Hospital, Heidelberg, Germany.
Marc A SchneiderTranslational Research Unit (STF), Thoraxklinik at Heidelberg University Hospital, Heidelberg, Germany.
Anna A PopovaInstitute of Biological and Chemical Systems-Functional Molecular Systems (IBCS-FMS), Karlsruhe Institute of Technology (KIT), Eggenstein-Leopoldshafen, Germany.ORCID https://orcid.org/0000-0001-7054-0609

Funding

German Center for Lung Research 82DZL00402Helmholtz Association of German Research Centres, Program "Materials Systems Engineering"Karlsruhe Institute of Technology, Programm Excellence University Project Future Fields Stage 2 "Screening Platform for Personalized Oncology (SPPO)"Ministerium für Wissenschaft, Forschung und Kunst Baden-Württemberg 7533-7-11.10-8
6 · The paper itself

Abstract

Functional precision oncology aims to support personalized cancer therapy by assessing drug sensitivity in patient-derived tumor cells ex vivo. However, conventional drug sensitivity and resistance testing (DSRT) platforms typically require large numbers of cells, limiting their applicability to surgically resected tumors and posing challenges for patients diagnosed at advanced stages, where only small biopsy samples are available. To address this limitation, we developed a miniaturized DSRT workflow based on a Droplet Microarray (DMA) chip, which comprises 672 hydrophilic spots separated by superhydrophobic borders and enables high-throughput screening in nanoliter volumes. Using 300 cells per 200-nL droplet, lung cancer cells freshly isolated from surgical specimens were tested against 12 compounds across five concentrations and five replicates (360 experimental conditions). This required approximately 120,000 cells total, including additional cells for handling and processing. The approach generated drug-specific dose-response profiles and variable IC

Indexed as

Antineoplastic AgentsLung NeoplasmsPrecision MedicineCell Line, TumorDrug Resistance, NeoplasmDrug Screening Assays, AntitumorHumansAntineoplastic Agentsdroplet microarraydrug sensitivity and resistance test (DSRT)functional precision oncologylung cancer

Identifiers

PMID42138089
PMCPMC13307630

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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.