Evidence map›Paper›PMID 23133538›Full record

ArticlePloS one2012

Modeling of tumor progression in NSCLC and intrinsic resistance to TKI in loss of PTEN expression.

Gholamreza Bidkhori, Ali Moeini, Ali Masoudi-Nejad

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
1.9field-weighted citation impact, top 15% 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

24 citing papers in PubMed, 38 citations in OpenAlex.

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  20. BioModels: Content, Features, Functionality, and Use.CPT: pharmacometrics & systems pharmacology · 2015
    Article
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 1 institution in 1 country.

Gholamreza BidkhoriLaboratory of Systems Biology and Bioinformatics, Institute of Biochemistry and Biophysics, University of Tehran, Tehran, Iran.
Ali Moeini
Ali Masoudi-Nejad
University of Tehran · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

EGFR signaling plays a very important role in NSCLC. It activates Ras/ERK, PI3K/Akt and STAT activation pathways. These are the main pathways for cell proliferation and survival. We have developed two mathematical models to relate to the different EGFR signaling in NSCLC and normal cells in the presence or absence of EGFR and PTEN mutations. The dynamics of downstream signaling pathways vary in the disease state and activation of some factors can be indicative of drug resistance. Our simulation denotes the effect of EGFR mutations and increased expression of certain factors in NSCLC EGFR signaling on each of the three pathways where levels of pERK, pSTAT and pAkt are increased. Over activation of ERK, Akt and STAT3 which are the main cell proliferation and survival factors act as promoting factors for tumor progression in NSCLC. In case of loss of PTEN, Akt activity level is considerably increased. Our simulation results show that in the presence of erlotinib, downstream factors i.e. pAkt, pSTAT3 and pERK are inhibited. However, in case of loss of PTEN expression in the presence of erlotinib, pAkt level would not decrease which demonstrates that these cells are resistant to erlotinib.

Indexed as

Gene Expression Regulation, EnzymologicGene Expression Regulation, NeoplasticCarcinoma, Non-Small-Cell LungComputer SimulationDrug Resistance, NeoplasmErbB ReceptorsErlotinib HydrochlorideExtracellular Signal-Regulated MAP KinasesHumansLung NeoplasmsModels, BiologicalModels, StatisticalProtein Kinase InhibitorsProtein-Tyrosine KinasesProto-Oncogene Proteins c-aktPTEN PhosphohydrolaseErbB ReceptorsErlotinib HydrochlorideExtracellular Signal-Regulated MAP KinasesProtein Kinase InhibitorsProtein-Tyrosine KinasesProto-Oncogene Proteins c-aktPTEN PhosphohydrolasePTEN protein, humanQuinazolinesSTAT3 protein, humanSTAT3 Transcription Factor

Identifiers

PMID23133538
PMCPMC3483873
OpenAlexW1970249833

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.