Evidence map›Paper›PMID 23341773›Full record

ArticlePLoS genetics2013

Integrative genomics in combination with RNA interference identifies prognostic and functionally relevant gene targets for oral squamous cell carcinoma.

Chang Xu, Pei Wang, Yan Liu, Yuzheng Zhang, Wenhong Fan, Melissa P Upton, Pawadee Lohavanichbutr, John R Houck, David R Doody, Neal D Futran and 4 more

Open access · goldAbstract read
In one paragraph

Article in PLoS genetics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.9field-weighted citation impact, top 14% 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

14 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Observational
  10. Article
  11. Functional kinomics identifies candidate therapeutic targets in head and neck cancer.Clinical cancer research : an official journal of the American Association for Cancer Research · 2014
    Article
  12. Review
  13. Article
  14. Review
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

14 authors at 2 institutions in 1 country.

Chang XuDepartment of Otolaryngology-Head and Neck Surgery, University of Washington, Seattle, Washington, United States of America.
Pei Wang
Yan Liu
Yuzheng Zhang
Wenhong Fan
Melissa P Upton
Pawadee Lohavanichbutr
John R Houck
David R Doody
Neal D Futran
Lue Ping Zhao
Stephen M Schwartz
Chu Chen
Eduardo Méndez
Fred Hutch Cancer Center · USUniversity of Washington · US

Funding

INSTITUTE FOR TRANSLATIONAL HEALTH SCIENCE (UL1): BPCAUL1RR025014 · NCRR · UNIVERSITY OF WASHINGTON · PI DISIS, MARY L. · 2007 to 2011
$51.5M
Institute of Translational Health SciencesKL2TR000421 · NCATS · UNIVERSITY OF WASHINGTON · PI DISIS, MARY L. · 2012 to 2016
$12.6M
Institute for Translational Health Science (KL2)KL2RR025015 · NCRR · UNIVERSITY OF WASHINGTON · PI DISIS, MARY L. · 2007 to 2011
$9.3M
ORAL CANCER: MOLECULAR PROFILES &CLINICAL OUTCOMESR01CA095419 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI CHEN, CHU · 2003 to 2010
$6.1M
Statistical Methods for Integrative Analysis of Genomics and Proteomics DataR01GM082802 · NIGMS · FRED HUTCHINSON CANCER RESEARCH CENTER · PI WANG, PEI · 2008 to 2012
$1.4M
NCATS NIH HHS KL2 TR000421NCI NIH HHS R01 CA095419NCI NIH HHS R01CA095419NCRR NIH HHS 5KL2RR025015-03NCRR NIH HHS KL2 RR025015NCRR NIH HHS UL1 RR025014NCRR NIH HHS UL1RR025014NIGMS NIH HHS R01 GM082802
6 · The paper itself

Abstract

In oral squamous cell carcinoma (OSCC), metastasis to lymph nodes is associated with a 50% reduction in 5-year survival. To identify a metastatic gene set based on DNA copy number abnormalities (CNAs) of differentially expressed genes, we compared DNA and RNA of OSCC cells laser-microdissected from non-metastatic primary tumors (n = 17) with those from lymph node metastases (n = 20), using Affymetrix 250K Nsp single-nucleotide polymorphism (SNP) arrays and U133 Plus 2.0 arrays, respectively. With a false discovery rate (FDR)<5%, 1988 transcripts were found to be differentially expressed between primary and metastatic OSCC. Of these, 114 were found to have a significant correlation between DNA copy number and gene expression (FDR<0.01). Among these 114 correlated transcripts, the corresponding genomic regions of each of 95 transcripts had CNAs differences between primary and metastatic OSCC (FDR<0.01). Using an independent dataset of 133 patients, multivariable analysis showed that the OSCC-specific and overall mortality hazards ratio (HR) for patients carrying the 95-transcript signature were 4.75 (95% CI: 2.03-11.11) and 3.45 (95% CI: 1.84-6.50), respectively. To determine the degree by which these genes impact cell survival, we compared the growth of five OSCC cell lines before and after knockdown of over-amplified transcripts via a high-throughput siRNA-mediated screen. The expression-knockdown of 18 of the 26 genes tested showed a growth suppression ≥ 30% in at least one cell line (P<0.01). In particular, cell lines derived from late-stage OSCC were more sensitive to the knockdown of G3BP1 than cell lines derived from early-stage OSCC, and the growth suppression was likely caused by increase in apoptosis. Further investigation is warranted to examine the biological role of these genes in OSCC progression and their therapeutic potentials.

Indexed as

Carcinoma, Squamous CellLymphatic MetastasisLymph NodesMouth NeoplasmsPrognosisAgedFemaleGene Expression Regulation, NeoplasticGenomicsHumansMaleMiddle AgedNeoplasm StagingPolymorphism, Single NucleotideRNA, Small InterferingRNA, Small Interfering

Identifiers

PMID23341773
PMCPMC3547824
OpenAlexW1993093995

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.