Evidence map›Paper›PMID 27590512›Full record

ArticleOncotarget2016

Modeling of signaling crosstalk-mediated drug resistance and its implications on drug combination.

Xiaoqiang Sun, Jiguang Bao, Zhuhong You, Xing Chen, Jun Cui

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
4.0field-weighted citation impact, top 6% 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

31 citing papers in PubMed, 62 citations in OpenAlex.

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  12. Co-Targeting Plk1 and DNMT3a in Advanced Prostate Cancer.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2021
    Article
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  14. Anticancer drug synergy prediction in understudied tissues using transfer learning.Journal of the American Medical Informatics Association : JAMIA · 2021
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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 3 institutions in 1 country.

Xiaoqiang SunZhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, 510080, China.
Jiguang BaoSchool of Mathematical Sciences, Beijing Normal University, Beijing, 100875, China.
Zhuhong YouSchool of Computer Science and Technology, China University of Mining and Technology, Xuzhou, 221116, China.
Xing ChenSchool of Information and Electrical Engineering, China University of Mining and Technology, Xuzhou, Jiangsu, 221116, China.
Jun CuiSchool of Life Science, Sun Yat-Sen University, Guangzhou, 510275, China.
China University of Mining and Technology · CNSun Yat-sen University · CNBeijing Normal University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The efficacy of pharmacological perturbation to the signaling transduction network depends on the network topology. However, whether and how signaling dynamics mediated by crosstalk contributes to the drug resistance are not fully understood and remain to be systematically explored. In this study, motivated by a realistic signaling network linked by crosstalk between EGF/EGFR/Ras/MEK/ERK pathway and HGF/HGFR/PI3K/AKT pathway, we develop kinetic models for several small networks with typical crosstalk modules to investigate the role of the architecture of crosstalk in inducing drug resistance. Our results demonstrate that crosstalk inhibition diminishes the response of signaling output to the external stimuli. Moreover, we show that signaling crosstalk affects the relative sensitivity of drugs, and some types of crosstalk modules that could yield resistance to the targeted drugs were identified. Furthermore, we quantitatively evaluate the relative efficacy and synergism of drug combinations. For the modules that are resistant to the targeted drug, we identify drug targets that can not only increase the relative drug efficacy but also act synergistically. In addition, we analyze the role of the strength of crosstalk in switching a module between drug-sensitive and drug-resistant. Our study provides mechanistic insights into the signaling crosstalk-mediated mechanisms of drug resistance and provides implications for the design of synergistic drug combinations to reduce drug resistance.

Indexed as

Drug CombinationsDrug Resistance, NeoplasmSignal TransductionApoptosisCell Line, TumorComputational BiologyDrug SynergismExtracellular Signal-Regulated MAP KinasesHumansModels, BiologicalModels, StatisticalPhosphatidylinositol 3-KinasesPhosphorylationProtein Kinase InhibitorsProto-Oncogene Proteins c-aktSoftwareDrug CombinationsExtracellular Signal-Regulated MAP KinasesPhosphatidylinositol 3-KinasesProtein Kinase InhibitorsProto-Oncogene Proteins c-aktdrug combinationdrug resistancesignaling crosstalksynergism

Identifiers

PMID27590512
PMCPMC5325420
OpenAlexW2518259126

What OpenQuestion holds

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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.