Evidence map›Paper›PMID 23371912›Full record

ArticleMolecular pharmacology2013

A receptor tyrosine kinase network composed of fibroblast growth factor receptors, epidermal growth factor receptor, v-erb-b2 erythroblastic leukemia viral oncogene homolog 2, and hepatocyte growth factor receptor drives growth and survival of head and neck squamous carcinoma cell lines.

Katherine R Singleton, Jihye Kim, Trista K Hinz, Lindsay A Marek, Matias Casás-Selves, Clark Hatheway, Aik Choon Tan, James DeGregori, Lynn E Heasley

Open access · bronzeAbstract read
In one paragraph

Article in Molecular pharmacology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
3.0field-weighted citation impact, top 8% 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

21 citing papers in PubMed, 43 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

9 authors at 1 institution in 1 country.

Katherine R SingletonDepartment of Craniofacial Biology, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA. katherine.singleton@ucdenver.edu
Jihye Kim
Trista K Hinz
Lindsay A Marek
Matias Casás-Selves
Clark Hatheway
Aik Choon Tan
James DeGregori
Lynn E Heasley
University of Colorado Anschutz Medical Campus · US

Funding

University of Colorado Cancer Center Support Grant - Lung Cancer Patient-Derived Xenografts with Autologous Human Immune SystemsP30CA046934 · NCI · UNIVERSITY OF COLORADO DENVER · PI James V Degregori · 1988 to 2026
$117.0M
Colorado Clinical and Translational Sciences InstituteUL1TR001082 · NCATS · UNIVERSITY OF COLORADO DENVER · PI SOKOL, RONALD J. · 2013 to 2017
$48.0M
Tissue Bank and Biomarkers CoreP50CA058187 · NCI · UNIVERSITY OF COLORADO DENVER · PI MILLER, YORK E · 1992 to 2018
$43.8M
FGF-2 Autocrine Signaling in Lung CancerR01CA127105 · NCI · UNIVERSITY OF COLORADO DENVER · PI HEASLEY, LYNN E · 2008 to 2012
$1.6M
Rationally designed targeted therapeutic approaches for NSCLCR01CA157850 · NCI · UNIVERSITY OF COLORADO DENVER · PI DEGREGORI, JAMES V · 2011 to 2015
$1.5M
An FGFR1 oncogene driver pathway in head and neck cancerI01BX001994 · VA · VA EASTERN COLORADO HEALTH CARE SYSTEM · PI HEASLEY, LYNN E · 2014 to 2017
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BLRD VA I01 BX001994NCATS NIH HHS UL1 TR001082NCI NIH HHS P30 CA046934NCI NIH HHS P50 CA058187NCI NIH HHS R01 CA127105NCI NIH HHS R01-CA127105NCI NIH HHS R01 CA157850
6 · The paper itself

Abstract

Our laboratory has previously shown that some gefitinib-insensitive head and neck squamous cell carcinoma (HNSCC) cell lines exhibit dominant autocrine fibroblast growth factor receptor (FGFR) signaling. Herein, we deployed a whole-genome loss-of-function screen to identify genes whose knockdown potentiated the inhibitory effect of the FGFR inhibitor, AZ8010, in HNSCC cell lines. Three HNSCC cell lines expressing a genome-wide small hairpin RNA (shRNA) library were treated with AZ8010 and the abundance of shRNA sequences was assessed by deep sequencing. Under-represented shRNAs in treated cells are expected to target genes important for survival with AZ8010 treatment. Synthetic lethal hits were validated with specific inhibitors and independent shRNAs. We found that multiple alternate receptors provided protection from FGFR inhibition, including receptor tyrosine kinases (RTKs), v-erb-b2 erythroblastic leukemia viral oncogene homolog 2 (ERBB2), and hepatocyte growth factor receptor (MET). We showed that specific knockdown of either ERBB2 or MET in combination with FGFR inhibition led to increased inhibition of growth relative to FGFR tyrosine kinase inhibitor (TKI) treatment alone. These results were confirmed using specific small molecule inhibitors of either ERBB family members or MET. Moreover, the triple combination of FGFR, MET, and ERBB family inhibitors showed the largest inhibition of growth and induction of apoptosis compared with the double combinations. These results reveal a role for alternate RTKs in maintaining progrowth and survival signaling in HNSCC cells in the setting of FGFR inhibition. Thus, improved therapies for HNSCC patients could involve rationally designed combinations of TKIs targeting FGFR, ERBB family members, and MET.

Indexed as

Cell Line, TumorCell ProliferationCell SurvivalErb-b2 Receptor Tyrosine KinasesErbB ReceptorsGene Regulatory NetworksHead and Neck NeoplasmsHumansOncogene Proteins v-erbBProto-Oncogene Proteins c-metQuinazolinesReceptor Protein-Tyrosine KinasesReceptors, Fibroblast Growth FactorAZD 8931ERBB2 protein, humanErb-b2 Receptor Tyrosine KinasesErbB ReceptorsOncogene Proteins v-erbBProto-Oncogene Proteins c-metQuinazolinesReceptor Protein-Tyrosine KinasesReceptors, Fibroblast Growth Factor

Identifiers

PMID23371912
PMCPMC3608435
OpenAlexW2106263664

What OpenQuestion holds

Textmetadata
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.