Evidence map›Paper›PMID 22570652›Full record

ArticleJournal of oncology2012

Malignant and nonmalignant gene signatures in squamous head and neck cancer.

Maria J Worsham, Mei Lu, Kang Mei Chen, Josena K Stephen, Shaleta Havard, Vanessa P Schweitzer

Open access · hybridAbstract read
In one paragraph

Article in Journal of oncology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.0field-weighted citation impact, top 24% 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

10 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. The Mitochondrial GenesInternational journal of molecular sciences · 2018
    Article
  6. Article
  7. Article
  8. Gene expression profile analysis in response to α1,2-fucosyl transferase (FUT1) gene transfection in epithelial ovarian carcinoma cells.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2016
    Article
  9. Article
  10. Article
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

6 authors at 1 institution in 1 country.

Maria J WorshamDepartment of Otolaryngology-Head & Neck Surgery, Henry Ford Health System, Detroit, MI 48202, USA.
Mei Lu
Kang Mei Chen
Josena K Stephen
Shaleta Havard
Vanessa P Schweitzer
Henry Ford Health System · US

Funding

MOLECULAR MODELING OF DIAGNOSIS AND PROGNOSIS IN HNSCCR01DE015990 · NIDCR · HENRY FORD HEALTH SYSTEM · PI WORSHAM, MARIA J. · 2004 to 2009
$1.5M
NIDCR NIH HHS R01 DE015990
6 · The paper itself

Abstract

Genetic events specific to the pathogenesis of malignancy can offer clues to the tumorigenesis process. The objective of this study was to identify gene alterations that differentiate tumor and nontumor lesions in squamous head and neck cancer (HNSCC). DNA from 220 primary HNSCC with concurrently present tumor and nontumor lesions from the same patient was interrogated for genomic alterations of loss or gain of copy. Conditional logistic regression dealt with tumor and non-tumor records within a patient. Of 113 genes, 53 had univariate effects (P < 0.01), of which 16 genes remained in the multivariable model with P < 0.01. The model had a C-index (ROC) of 0.93. Loss of CDKN2B and gain of BCL6, FGF3, and PTP4A3 predicted tumor. Loss of BAK1 and CCND1 and gain of STCH predicted nontumor. This highly powered model assigned alterations in 16 genes specific for malignant versus nonmalignant lesions, supporting their contribution to the pathogenesis of HNSCC as well as their potential utility as relevant targets for further evaluation as markers of early detection and progression.

Identifiers

PMID22570652
PMCPMC3335248
OpenAlexW2013126763

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.