Evidence map›Paper›PMID 22549044›Full record

ArticleBMC genomics2012

Gene expression signatures modulated by epidermal growth factor receptor activation and their relationship to cetuximab resistance in head and neck squamous cell carcinoma.

Elana J Fertig, Qing Ren, Haixia Cheng, Hiromitsu Hatakeyama, Adam P Dicker, Ulrich Rodeck, Michael Considine, Michael F Ochs, Christine H Chung

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.6field-weighted citation impact, top 18% 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

16 citing papers in PubMed, 30 citations in OpenAlex.

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  13. Capturing drug responses by quantitative promoter activity profiling.CPT: pharmacometrics & systems pharmacology · 2013
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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 4 institutions in 2 countries.

Elana J FertigDepartment of Oncology, Sidney Kimmel Comprehensive Cancer Center, School of Medicine, Johns Hopkins University, Baltimore, MD, USA. ejfertig@jhmi.edu
Qing Ren
Haixia Cheng
Hiromitsu Hatakeyama
Adam P Dicker
Ulrich Rodeck
Michael Considine
Michael F Ochs
Christine H Chung
Sidney Kimmel Comprehensive Cancer Center · USSidney Kimmel Cancer Center · USHokkaido University · JPJohns Hopkins University · US

Funding

Molecular signatures of HNSCC in response to targeted therapiesR01DE017982 · NIDCR · VANDERBILT UNIVERSITY · PI CHUNG, CHRISTINE H · 2007 to 2011
$1.9M
An Open-Source Algorithm Isolating Overlapping Signatures in Microarray DataR21LM009382 · NLM · JOHNS HOPKINS UNIVERSITY · PI OCHS, MICHAEL F · 2008 to 2009
$444k
Identifying Malignant Cell Signaling from Protein Interactions an Polyomic DataK25CA141053 · NCI · JOHNS HOPKINS UNIVERSITY · PI FERTIG, ELANA · 2010 to 2014
$419k
NCI NIH HHS K25 CA141053NCI NIH HHS K25 CA141053NIDCR NIH HHS R01 DE017982NLM NIH HHS R21 LM009382
6 · The paper itself

Abstract

backgroundAberrant activation of signaling pathways downstream of epidermal growth factor receptor (EGFR) has been hypothesized to be one of the mechanisms of cetuximab (a monoclonal antibody against EGFR) resistance in head and neck squamous cell carcinoma (HNSCC). To infer relevant and specific pathway activation downstream of EGFR from gene expression in HNSCC, we generated gene expression signatures using immortalized keratinocytes (HaCaT) subjected to ligand stimulation and transfected with EGFR, RELA/p65, or HRASVal12D.

resultsThe gene expression patterns that distinguished the HaCaT variants and conditions were inferred using the Markov chain Monte Carlo (MCMC) matrix factorization algorithm Coordinated Gene Activity in Pattern Sets (CoGAPS). This approach inferred gene expression signatures with greater relevance to cell signaling pathway activation than the expression signatures inferred with standard linear models. Furthermore, the pathway signature generated using HaCaT-HRASVal12D further associated with the cetuximab treatment response in isogenic cetuximab-sensitive (UMSCC1) and -resistant (1CC8) cell lines.

conclusionsOur data suggest that the CoGAPS algorithm can generate gene expression signatures that are pertinent to downstream effects of receptor signaling pathway activation and potentially be useful in modeling resistance mechanisms to targeted therapies.

Indexed as

AlgorithmsAntibodies, MonoclonalAntibodies, Monoclonal, HumanizedCarcinoma, Squamous CellCell Line, TumorCetuximabDrug Resistance, NeoplasmErbB ReceptorsHead and Neck NeoplasmsHumansKeratinocytesProtein BindingSignal TransductionAntibodies, MonoclonalAntibodies, Monoclonal, HumanizedCetuximabErbB Receptors

Identifiers

PMID22549044
PMCPMC3460736
OpenAlexW1982946814

What OpenQuestion holds

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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.