Evidence map›Paper›PMID 41339333›Full record

ArticleMicrosystems & nanoengineering2025

Spheromatrix: a paper-based platform for scalable 3D tumor model generation, cryopreservation, and high-throughput drug assessment.

Ayoub Glia, Muhammedin Deliorman, Pavithra Sukumar, Mohammad A Qasaimeh

Abstract read
In one paragraph

Article in Microsystems & nanoengineering, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

4 authors.

Ayoub GliaDivision of Engineering, New York University Abu Dhabi, P.O. Box 129188, Abu Dhabi, United Arab Emirates.ORCID http://orcid.org/0009-0005-0978-6497
Muhammedin Deliorman *Division of Engineering, New York University Abu Dhabi, P.O. Box 129188, Abu Dhabi, United Arab Emirates.
Pavithra Sukumar *Division of Engineering, New York University Abu Dhabi, P.O. Box 129188, Abu Dhabi, United Arab Emirates.
Mohammad A QasaimehDivision of Engineering, New York University Abu Dhabi, P.O. Box 129188, Abu Dhabi, United Arab Emirates. mohammad.qasaimeh@nyu.edu.ORCID http://orcid.org/0000-0003-1122-9698

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Three-dimensional in vitro tumor models are increasingly recognized for their value in preclinical oncology, offering enhanced physiological relevance compared to traditional two-dimensional cultures. These systems improve the reliability of drug response assessment and hold potential for advancing patient-specific treatment strategies. In this work, we introduce the Spheromatrix, a paper-based platform designed to support spheroid formation, long-term preservation, and parallelized drug evaluation. This scalable system maintains the viability, proliferation, and metabolic activity of tumor spheroids across a variety of cancer cell lines, including U87 glioblastoma. Importantly, it supports cryopreservation and subsequent re-culture, potentially enabling the generation of pre-formed, ready-to-use 3D tumor models. Drug testing on U87 spheroids revealed consistent cytotoxic effects of cisplatin and temozolomide (TMZ), both as single agents and in combination, before and after cryostorage. Combined treatment amplified cytotoxic outcomes, indicating a potentiating effect of cisplatin on TMZ-induced cell death. These results position the Spheromatrix as a practical and versatile platform for building 3D tumor model biobanks and addressing critical gaps in current model accessibility and reuse.

Identifiers

PMID41339333
PMCPMC12675647

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.