Evidence map›Paper›PMID 35551303›Full record

ArticleLab on a chip2022

Non-small cell lung carcinoma spheroid models in agarose microwells for drug response studies.

Qiyue Luan, Jeffrey H Becker, Celine Macaraniag, Malek G Massad, Jian Zhou, Takeshi Shimamura, Ian Papautsky

Abstract read
In one paragraph

Article in Lab on a chip, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
–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

24 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Soft Micromanipulation Robot for Real-Time Adaptive Multimodal Operation.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
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  18. Addressing Key Questions in Organoid Models: Who, Where, How, and Why?International journal of molecular sciences · 2023
    Review
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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

7 authors.

Qiyue LuanDepartment of Biomedical Engineering, University of Illinois Chicago, 851 S. Morgan Street, 218 SEO, Chicago, IL 60607, USA. papauts@uic.edu.
Jeffrey H BeckerDepartment of Surgery, University of Illinois Chicago, Chicago, IL 60612, USA.ORCID 0000-0001-7645-2466
Celine MacaraniagDepartment of Biomedical Engineering, University of Illinois Chicago, 851 S. Morgan Street, 218 SEO, Chicago, IL 60607, USA. papauts@uic.edu.
Malek G MassadDepartment of Surgery, University of Illinois Chicago, Chicago, IL 60612, USA.
Jian ZhouDepartment of Biomedical Engineering, University of Illinois Chicago, 851 S. Morgan Street, 218 SEO, Chicago, IL 60607, USA. papauts@uic.edu.ORCID 0000-0002-8676-8891
Takeshi ShimamuraDepartment of Surgery, University of Illinois Chicago, Chicago, IL 60612, USA.ORCID 0000-0002-5402-7204
Ian PapautskyDepartment of Biomedical Engineering, University of Illinois Chicago, 851 S. Morgan Street, 218 SEO, Chicago, IL 60607, USA. papauts@uic.edu.ORCID 0000-0002-1396-9625

Funding

Pilot Program CoreP30ES027792 · NIEHS · UNIVERSITY OF CHICAGO · PI Gokhan M. Mutlu, Gail S Prins · 2017 to 2026
$13.6M
Investigation of CXCR7 signaling in EGFR TKI resistant NSCLCR01CA230778 · NCI · UNIVERSITY OF ILLINOIS AT CHICAGO · PI SHIMAMURA, TAKESHI · 2019 to 2023
$1.9M
NCI NIH HHS R01 CA230778NIEHS NIH HHS P30 ES027792
6 · The paper itself

Abstract

There is a growing interest in developing personalized treatment strategies for each cancer patient, especially those with non-small cell lung carcinoma (NSCLC) which annually accounts for the majority of cancer related deaths in the US. Yet identifying the optimal NSCLC treatment strategy for each cancer patient is critical due to a multitude of mutations, some of which develop following initial therapy and can result in drug resistance. A key difficulty in developing personalized therapies in NSCLC is the lack of clinically relevant assay systems that are suitable to evaluate drug sensitivity using a minuscule amount of patient-derived material available following biopsies. Herein we leverage 3D printing to demonstrate a platform based on miniature microwells in agarose to culture cancer cell spheroids. The agarose wells were shaped by 3D printing molds with 1000 microwells with a U-shaped bottom. Three NSCLC cell lines (HCC4006, H1975 and A549) were used to demonstrate size uniformity, spheroid viability, biomarker expressions and drug response in 3D agarose microwells. Results show that our approach yielded spheroids of uniform size (coefficient of variation <22%) and high viability (>83% after 1 week-culture). Studies using epidermal growth factor receptor (EGFR) tyrosine kinase inhibitor (TKIs) drugs gefitinib and osimertinib showed clinically relevant responses. Based on the physical features, cell phenotypes, and responses to therapy of our spheroid models, we conclude that our platform is suitable for

Indexed as

Carcinoma, Non-Small-Cell LungLung NeoplasmsCell Line, TumorDrug EvaluationDrug Resistance, NeoplasmErbB ReceptorsHumansMutationProtein Kinase InhibitorsSepharoseErbB ReceptorsProtein Kinase InhibitorsSepharose

Identifiers

PMID35551303
PMCPMC10319040

What OpenQuestion holds

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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.