Evidence map›Paper›PMID 30550927›Full record

ArticleTranslational oncology2019

Cyclical Treatment of Colorectal Tumor Spheroids Induces Resistance to MEK Inhibitors.

Pradip Shahi Thakuri, Gary D Luker, Hossein Tavana

Open access · goldAbstract read
In one paragraph

Article in Translational oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.3field-weighted citation impact, top 19% 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

14 citing papers in PubMed, 22 citations in OpenAlex.

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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

3 authors at 2 institutions in 1 country.

Pradip Shahi ThakuriDepartment of Biomedical Engineering, The University of Akron, Akron, OH 44325, USA.
Gary D LukerDepartment of Radiology, University of Michigan, Ann Arbor, MI 48105, USA; Department of Microbiology and Immunology, University of Michigan, Ann Arbor, MI 48105, USA; Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI 48105, USA.
Hossein TavanaDepartment of Biomedical Engineering, The University of Akron, Akron, OH 44325, USA. Electronic address: tavana@uakron.edu.
University of Akron · USUniversity of Michigan · 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

Adaptive drug resistance is a major obstacle to successful treatment of colorectal cancers. Physiologic tumor models of drug resistance are crucial to understand mechanisms of treatment failure and improve therapy by developing new therapeutics and treatment strategies. Using our aqueous two-phase system microtechnology, we developed colorectal tumor spheroids and periodically treated them with sub-lethal concentrations of three Mitogen Activated Kinase inhibitors (MEKi) used in clinical trials. We used long-term, periodic treatment and recovery of spheroids to mimic cycles of clinical chemotherapy and implemented a growth rate metric to quantitatively assess efficacy of the MEKi during treatment. Our results showed that efficacy of the MEKi significantly reduced with increased treatment cycles. Using a comprehensive molecular analysis, we established that resistance of colorectal tumor spheroids to the MEKi developed through activation of the PI3K/AKT/mTOR pathway. We also showed that other potential feedback mechanisms, such as STAT3 activation or amplified B-RAF, did not account for resistance to the MEKi. We combined each of the three MEKi with a PI3K/mTOR inhibitor and showed that the combination treatments synergistically blocked resistance to the MEKi. Importantly, and unlike the individual inhibitors, we demonstrated that synergistic concentrations of combinations of MEK and PI3K/mTOR inhibitors effectively inhibited growth of colorectal tumor spheroids in long-term treatments. This proof-of-concept study to model treatment-induced drug resistance of cancer cells using 3D cultures offers a unique approach to identify underlying molecular mechanisms and develop effective treatments.

Identifiers

PMID30550927
PMCPMC6299152
OpenAlexW2904569956

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.