Evidence map›Paper›PMID 28579741›Full record

ArticleCancer informatics2017

Time-Based Switching Control of Genetic Regulatory Networks: Toward Sequential Drug Intake for Cancer Therapy.

Wasiu Opeyemi Oduola, Xiangfang Li, Chang Duan, Lijun Qian, Fen Wu, Edward R Dougherty

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Cancer informatics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Wasiu Opeyemi OduolaDepartment of Electrical and Computer Engineering, Prairie View A&M University, Prairie View, TX, USA.
Xiangfang LiDepartment of Electrical and Computer Engineering, Prairie View A&M University, Prairie View, TX, USA.
Chang DuanDepartment of Mechanical Engineering, Prairie View A&M University, Prairie View, TX, USA.
Lijun QianDepartment of Electrical and Computer Engineering, Prairie View A&M University, Prairie View, TX, USA.
Fen WuDepartment of Mechanical and Aerospace Engineering, North Carolina State University, Raleigh, NC, USA.
Edward R DoughertyDepartment of Electrical & Computer Engineering, Texas A&M University, College Station, TX, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As cancer growth and development typically involves multiple genes and pathways, combination therapy has been touted as the standard of care in the treatment of cancer. However, drug toxicity becomes a major concern whenever a patient takes 2 or more drugs simultaneously at the maximum tolerable dosage. A potential solution would be administering the drugs in a sequential or alternating manner rather than concurrently. This study therefore examines the feasibility of such an approach from a switched system control perspective. Particularly, we study how genetic regulatory systems respond to sequential (switched) drug inputs using the time-based switching mechanism. The design of the time-driven drug switching function guarantees the stability of the genetic regulatory system and the repression of the diseased genes. Simulation results using proof-of-concept models and the proliferation and survival pathways with sequential drug inputs show the effectiveness of the proposed approach.

Indexed as

drug effect modelingGenetic regulatory networkswitched systems

Identifiers

PMID28579741
PMCPMC5431492

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.