Evidence map›Paper›PMID 32259061›Full record

ArticleACS pharmacology & translational science2019

Synergistic Inhibition of Kinase Pathways Overcomes Resistance of Colorectal Cancer Spheroids to Cyclic Targeted Therapies.

Pradip Shahi Thakuri, Megha Gupta, Ramila Joshi, Sunil Singh, Hossein Tavana

Open access · greenAbstract read
In one paragraph

Article in ACS pharmacology & translational science, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.6field-weighted citation impact, top 33% 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

9 citing papers in PubMed, 12 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

5 authors at 1 institution in 1 country.

Pradip Shahi ThakuriDepartment of Biomedical Engineering, The University of Akron, Akron, Ohio 44325, United States.
Megha GuptaDepartment of Arts and Sciences, The University of Akron, Akron, Ohio 44325, United States.
Ramila JoshiDepartment of Biomedical Engineering, The University of Akron, Akron, Ohio 44325, United States.
Sunil SinghDepartment of Biomedical Engineering, The University of Akron, Akron, Ohio 44325, United States.
Hossein TavanaDepartment of Biomedical Engineering, The University of Akron, Akron, Ohio 44325, United States.
University of Akron · US

Funding

A High Throughput Human Tumor Modeling Technology for Cancer Drug DiscoveryR33CA225549 · NCI · UNIVERSITY OF AKRON · PI LUKER, GARY D, TAVANA, HOSSEIN · 2019 to 2021
$1.4M
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 CA216413NCI NIH HHS R33 CA225549
6 · The paper itself

Abstract

Cancer cells often adapt to single-agent treatments with chemotherapeutics. Activation of alternative survival pathways is a major mechanism of drug resistance. A potential approach to block this feedback signaling is using combination treatments of a pair of drugs, although toxicity has been a limiting factor. Preclinical tumor models to identify mechanisms of drug resistance and determine low but effective combination doses are critical to effectively suppress tumor growth with reduced toxicity to patients. Using our aqueous two-phase system microtechnology, we developed colorectal tumor spheroids in high-throughput and evaluated resistance of cancer cells to three mitogen-activated protein kinase inhibitors (MAPKi) in long-term cyclic treatments. Our quantitative analysis showed that the efficacy of MAPKi significantly reduced over time, leading to an increase in proliferation of HCT116 colorectal cancer cells and growth of spheroids. We established that resistance was due to feedback activation of PI3K/AKT/mTOR pathway. Using high-throughput, dose-dependent combinations of each MAPKi and a PI3K/mTOR inhibitor, we identified low-dose, synergistic combinations that blocked resistance to MAPKi and effectively suppressed the growth of colorectal tumor spheroids in long-term treatments. Our approach to study drug resistance offers the potential to determine high priority treatments to test in animal models.

Identifiers

PMID32259061
PMCPMC7088992
OpenAlexW2962821080

What OpenQuestion holds

Textmetadata
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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.