Evidence map›Paper›PMID 30958703›Full record

ArticleAssay and drug development technologies2019

Quantitative Size-Based Analysis of Tumor Spheroids and Responses to Therapeutics.

Pradip Shahi Thakuri, Megha Gupta, Madison Plaster, Hossein Tavana

Open access · greenAbstract read
In one paragraph

Article in Assay and drug development technologies, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed
1.8field-weighted citation impact, top 16% of its field
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

40 citing papers in PubMed, 57 citations in OpenAlex.

  1. Article
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  3. Metabolic starvation-induced cell swelling drives solid stress in tumors.bioRxiv : the preprint server for biology · 2026
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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

4 authors at 1 institution in 1 country.

Pradip Shahi Thakuri1 Department of Biomedical Engineering and The University of Akron, Akron, Ohio.
Megha Gupta2 Department of Arts and Sciences, The University of Akron, Akron, Ohio.
Madison Plaster1 Department of Biomedical Engineering and The University of Akron, Akron, Ohio.
Hossein Tavana1 Department of Biomedical Engineering and The University of Akron, Akron, Ohio.
University of Akron · US

Funding

Modeling Treatment-Induced Drug Resistance of Colon Cancer Cells and Treatment StrategiesR15CA216413 · NCI · UNIVERSITY OF AKRON · PI TAVANA, HOSSEIN · 2018 to 2019
$547k
NCI NIH HHS R15 CA216413
6 · The paper itself

Abstract

Drug resistance remains a major clinical problem despite advances in targeted therapies. In recent years, methods to culture cancer cells in three-dimensional (3D) environments to better mimic native tumors have gained increasing popularity. Nevertheless, unlike traditional two-dimensional (2D) cell cultures, analysis of 3D cultures is not straightforward. Most biochemical assays developed for 2D cultures have to be optimized for use with 3D cultures. We addressed this important problem by presenting a simple method of quantitative size-based analysis of growth and drug responses of 3D cultures of cancer cells as tumor spheroids. We used an aqueous two-phase system to form consistently sized tumor spheroids of colorectal cancer cells. Using spheroid images, we computed the size of spheroids over time and demonstrated that growth of spheroids from this analysis strongly correlates with that using a PrestoBlue biochemical assay optimized for 3D cultures. Next, we cyclically treated the tumor spheroids with a MEK inhibitor, trametinib, for 6-day periods with a recovery phase in between. This inhibitor was selected because of mutation of colon cancer cells in the MEK/ERK pathway. We used size measurements to evaluate the efficacy of trametinib and predict development of resistance of colon cancer cells during the cyclical treatment and recovery regimen. This size-based analysis closely matched the biochemical analysis of drug responses of spheroids. We performed molecular analysis and showed that resistance to trametinib emerged due to feedback activation of the PI3K/AKT signaling pathway. Therefore, we combined trametinib with a PI3K/AKT inhibitor, dactolisib, and demonstrated that size-based analysis of spheroids reliably allowed quantifying the effect of the combination treatment to prevent drug resistance. This study established that size measurements of spheroids can be used as a straightforward method for quantitative studies of drug responses of tumor spheroids and identifying drug combinations that block resistance.

Indexed as

Antineoplastic AgentsColorectal NeoplasmsDrug CombinationsDrug Resistance, NeoplasmHCT116 CellsHT29 CellsHumansImidazolesParticle SizePyridonesPyrimidinonesQuinolinesSpheroids, CellularTumor Cells, CulturedAntineoplastic AgentsdactolisibDrug CombinationsImidazolesPyridonesPyrimidinonesQuinolinestrametinibaqueous two-phase systemcombination treatmentdrug resistancesize-based analysistumor spheroid

Identifiers

PMID30958703
PMCPMC6599382
OpenAlexW2938388393

What OpenQuestion holds

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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.