Evidence map›Paper›PMID 20426488›Full record

ArticleJournal of proteome research2010

Quantitative proteomics analysis reveals molecular networks regulated by epidermal growth factor receptor level in head and neck cancer.

Wei Yang, Quan Cai, Vivian W Y Lui, Patrick A Everley, Jayoung Kim, Neil Bhola, Kelly M Quesnelle, Bruce R Zetter, Hanno Steen, Michael R Freeman and 1 more

Abstract read
In one paragraph

Article in Journal of proteome research, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.2field-weighted citation impact, top 22% 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

13 citing papers in PubMed, 28 citations in OpenAlex.

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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

11 authors at 1 institution in 1 country.

Wei YangUrological Diseases Research Center, Department of Urology, Children's Hospital Boston, Boston, Massachusetts 02115, USA.
Quan Cai
Vivian W Y Lui
Patrick A Everley
Jayoung Kim
Neil Bhola
Kelly M Quesnelle
Bruce R Zetter
Hanno Steen
Michael R Freeman
Jennifer R Grandis
University of Pittsburgh · US

Funding

WILD TYPE P53-BASED ADJUVANT IMMUNOTHERAPY FOR SCCHNP50CA097190 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI CHRISTOPHER J. BAKKENIST · 2004 to 2026
$49.6M
STAT-Mediated TGFalpha EGFR Signaling in squamous cell carcinoma of head neckR01CA077308 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI GRANDIS, JENNIFER RUBIN · 1998 to 2018
$5.0M
GRPR Signaling in SCCHN: Integration with EGFRR01CA098372 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI GRANDIS, JENNIFER RUBIN · 2004 to 2017
$3.8M
Stat3 as a Therapeutic Target in Head and Neck CancerR01CA101840 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI GRANDIS, JENNIFER RUBIN · 2004 to 2008
$1.3M
Pathobiology of the Developing Cardiovascular SystemT32HL076115 · NHLBI · CHILDREN'S HOSPITAL BOSTON · PI FLEMING, MARK D · 2005 to 2009
$970k
NCI NIH HHS P50 CA097190NCI NIH HHS R01 CA077308NCI NIH HHS R01 CA098372NCI NIH HHS R01 CA101840NHLBI NIH HHS T32 HL076115
6 · The paper itself

Abstract

Epidermal growth factor receptor (EGFR) is overexpressed in up to 90% of head and neck cancer (HNC), where increased expression levels of EGFR correlate with poor prognosis. To date, EGFR expression levels have not predicted the clinical response to the EGFR-targeting therapies. Elucidation of the molecular mechanisms underlying anti-EGFR-induced antitumor effects may shed some light on the mechanisms of HNC resistance to EGFR-targeting therapeutics and provide novel targets for improving the treatment of HNC. Here, we conducted a quantitative proteomics analysis to determine the molecular networks regulated by EGFR levels in HNC by specifically knocking-down EGFR and employing stable isotope labeling with amino acids in cell culture (SILAC). Following data normalization to minimize systematic errors and Western blotting validation, 12 proteins (e.g., p21, stratifin, and maspin) and 24 proteins (e.g., cdc2 and MTA2) were found to be significantly upregulated or downregulated by EGFR knockdown, respectively. Bioinformatic analysis revealed that these proteins were mainly involved in long-chain fatty acid biosynthesis and beta-oxidation, cholesterol biosynthesis, cell proliferation, DNA replication, and apoptosis. Cell cycle analysis confirmed that G(2)/M phase progression was significantly inhibited by EGFR knockdown, a hypothesis generated from network modeling. Further investigation of these molecular networks may not only enhance our understanding of the antitumor mechanisms of EGFR targeting but also improve patient selection and provide novel targets for better therapeutics.

Indexed as

Blotting, WesternCell Cycle ProteinsCell Line, TumorCholesterolErbB ReceptorsFatty AcidsGene Knockdown TechniquesHead and Neck NeoplasmsHumansIsotope LabelingMetabolic Networks and PathwaysProteomeProteomicsReproducibility of ResultsRNA, Small InterferingSignal TransductionCell Cycle ProteinsCholesterolErbB ReceptorsFatty AcidsProteomeRNA, Small Interfering

Identifiers

PMID20426488
PMCPMC3149825
OpenAlexW2090875414

What OpenQuestion holds

Textmetadata
LicenceTDM
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.