Evidence map›Paper›PMID 29237412›Full record

ArticleBMC cancer2017

Evaluation of epidermal growth factor receptor signaling effects in gastric cancer cell lines by detailed motility-focused phenotypic characterization linked with molecular analysis.

Simone Keller, Julia Kneissl, Verena Grabher-Meier, Stefan Heindl, Jan Hasenauer, Dieter Maier, Julian Mattes, Peter Winter, Birgit Luber

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.9field-weighted citation impact, top 12% 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

15 citing papers in PubMed, 29 citations in OpenAlex.

  1. Review
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  4. Anti-Tumor Effect of Heat-KilledInternational journal of molecular sciences · 2022
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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

9 authors at 6 institutions in 2 countries.

Simone KellerInstitut für Allgemeine Pathologie und Pathologische Anatomie, Technische Universität München, Klinikum rechts der Isar, Trogerstr. 18, 81675, München, Germany.
Julia KneisslInstitut für Allgemeine Pathologie und Pathologische Anatomie, Technische Universität München, Klinikum rechts der Isar, Trogerstr. 18, 81675, München, Germany.
Verena Grabher-MeierInstitut für Allgemeine Pathologie und Pathologische Anatomie, Technische Universität München, Klinikum rechts der Isar, Trogerstr. 18, 81675, München, Germany.
Stefan HeindlInstitut für Allgemeine Pathologie und Pathologische Anatomie, Technische Universität München, Klinikum rechts der Isar, Trogerstr. 18, 81675, München, Germany.
Jan HasenauerInstitute of Computational Biology, Helmholtz Zentrum München-German Research Center for Environmental Health, Ingolstädter Landstr. 1, 85764, Neuherberg, Germany.
Dieter MaierBiomax Informatics AG, Robert-Koch-Str. 2, 82152, Planegg, Germany.
Julian MattesKnowledge-Based Vision Systems, Software Competence Center Hagenberg GmbH, Softwarepark 21, 4232, Hagenberg, Austria.
Peter WinterGenXPro GmbH, Altenhöferallee 3, 60438, Frankfurt am Main, Germany.
Birgit LuberInstitut für Allgemeine Pathologie und Pathologische Anatomie, Technische Universität München, Klinikum rechts der Isar, Trogerstr. 18, 81675, München, Germany. birgit.luber@tum.de.
Technical University of Munich · DEMünchen Klinik · DEBiomax Informatics (Germany) · DEGenXPro (Germany) · DEHelmholtz Zentrum München · DESoftware Competence Center Hagenberg (Austria) · AT

Funding

Bundesministerium für Bildung und Forschung 01ZX1310ABundesministerium für Bildung und Forschung 0315423D
6 · The paper itself

Abstract

backgroundGastric cancers frequently overexpress the epidermal growth factor receptor (EGFR), which has been implicated in pathological processes including tumor cell motility, invasion and metastasis. Targeting EGFR with the inhibitory antibody cetuximab may affect the motile and invasive behavior of tumor cells. Here, we evaluated the effects of EGFR signaling in gastric cancer cell lines to link the phenotypic behavior of the cells with their molecular characteristics.

methodsPhenotypic effects were analyzed in four gastric cancer cell lines (AGS, Hs746T, LMSU and MKN1) by time-lapse microscopy and transwell invasion assay. Effects on EGFR signaling were detected using Western blot and proteome profiler analyses. A network was constructed linking EGFR signaling to the regulation of cellular motility.

resultsThe analysis of the effects of treatment with epidermal growth factor (EGF) and cetuximab revealed that only one cell line (MKN1) was sensitive to cetuximab treatment in all phenotypic assays, whereas the other cell lines were either not responsive (Hs746T, LMSU) or sensitive only in certain tests (AGS). Cetuximab inhibited EGFR, MAPK and AKT activity and associated components of the EGFR signaling pathway to different degrees in cetuximab-sensitive MKN1 cells. In contrast, no such changes were observed in Hs746T cells. Thus, the different phenotypic behaviors of the cells were linked to their molecular response to treatment. Genetic alterations had different associations with response to treatment: while PIK3CA mutations and KRAS mutation or amplification were not obstructive, the MET mutation was associated with non-response.

conclusionThese results identify components of the EGFR signaling network as important regulators of the phenotypic and molecular response to cetuximab treatment.

Indexed as

Antineoplastic Agents, ImmunologicalCell Line, TumorCell MovementCetuximabErbB ReceptorsHumansNeoplasm InvasivenessPhenotypePhosphorylationProteomeSignal TransductionStomach NeoplasmsAntineoplastic Agents, ImmunologicalCetuximabEGFR protein, humanErbB ReceptorsProteomeCetuximabEGFRGastric cancerInvasionMotility

Identifiers

PMID29237412
PMCPMC5729506
OpenAlexW2772366909

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.