Evidence map›Paper›PMID 37957280›Full record

ArticleCommunications biology2023

A fully 3D-printed versatile tumor-on-a-chip allows multi-drug screening and correlation with clinical outcomes for personalized medicine.

Eliana Steinberg, Roy Friedman, Yoel Goldstein, Nethanel Friedman, Ofer Beharier, Jonathan Abraham Demma, Gideon Zamir, Ayala Hubert, Ofra Benny

Abstract read
In one paragraph

Article in Communications biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed.

  1. Article
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  6. Article
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  8. Mechano-Organ-on-Chip for Cancer Research.International journal of molecular sciences · 2026
    Review
  9. Article
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  14. Article
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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

9 authors.

Eliana SteinbergThe Institute for Drug Research, The School of Pharmacy, Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem, Israel.
Roy FriedmanSchool of Computer Science and Engineering, Center for Interdisciplinary Data Research, The Hebrew University of Jerusalem, Jerusalem, Israel.ORCID 0000-0001-5061-4084
Yoel GoldsteinThe Institute for Drug Research, The School of Pharmacy, Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem, Israel.
Nethanel FriedmanThe Institute for Drug Research, The School of Pharmacy, Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem, Israel.
Ofer BeharierHadassah Medical Center and The Hebrew University of Jerusalem, Jerusalem, Israel.
Jonathan Abraham DemmaDepartment of General Surgery, Hadassah Medical Center and Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem, Israel.ORCID 0000-0003-3604-127X
Gideon ZamirDepartment of General Surgery, Hadassah Medical Center and Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem, Israel.
Ayala HubertOncology Department, Hadassah Medical Center, Jerusalem, Israel.
Ofra BennyThe Institute for Drug Research, The School of Pharmacy, Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem, Israel. ofra.benny@mail.huji.ac.il.ORCID 0000-0002-2468-5978

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Optimal clinical outcomes in cancer treatments could be achieved through the development of reliable, precise ex vivo tumor models that function as drug screening platforms for patient-targeted therapies. Microfluidic tumor-on-chip technology is emerging as a preferred tool since it enables the complex set-ups and recapitulation of the physiologically relevant physical microenvironment of tumors. In order to overcome the common hindrances encountered while using this technology, a fully 3D-printed device was developed that sustains patient-derived multicellular spheroids long enough to conduct multiple drug screening tests. This tool is both cost effective and possesses four necessary characteristics of effective microfluidic devices: transparency, biocompatibility, versatility, and sample accessibility. Compelling correlations which demonstrate a clinical proof of concept were found after testing and comparing different chemotherapies on tumor spheroids, derived from ten patients, to their clinical outcomes. This platform offers a potential solution for personalized medicine by functioning as a predictive drug-performance tool.

Indexed as

NeoplasmsPrecision MedicineDrug Evaluation, PreclinicalHumansLab-On-A-Chip DevicesPrinting, Three-DimensionalTumor Microenvironment

Identifiers

PMID37957280
PMCPMC10643569

What OpenQuestion holds

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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.