Evidence map›Paper›PMID 23950933›Full record

ArticlePloS one2013

Identification and validation of a multigene predictor of recurrence in primary laryngeal cancer.

Elena Fountzilas, Vassiliki Kotoula, Nikolaos Angouridakis, Ilias Karasmanis, Ralph M Wirtz, Anastasia G Eleftheraki, Elke Veltrup, Konstantinos Markou, Angelos Nikolaou, Dimitrios Pectasides and 1 more

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In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

52 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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.

Elena FountzilasDepartment of Medical Oncology, "Papageorgiou" Hospital, Aristotle University of Thessaloniki School of Medicine, Thessaloniki, Greece. elenafou@gmail.com
Vassiliki Kotoula
Nikolaos Angouridakis
Ilias Karasmanis
Ralph M Wirtz
Anastasia G Eleftheraki
Elke Veltrup
Konstantinos Markou
Angelos Nikolaou
Dimitrios Pectasides
George Fountzilas

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeLocal recurrence is the major manifestation of treatment failure in patients with operable laryngeal carcinoma. Established clinicopathological factors cannot sufficiently predict patients that are likely to recur after treatment. Additional tools are therefore required to accurately identify patients at high risk for recurrence. This study attempts to identify and independently validate gene expression models, prognostic of disease-free survival (DFS) in operable laryngeal cancer. MATERIALS AND

methodsUsing Affymetrix U133A Genechips, we profiled fresh-frozen tumor tissues from 66 patients with laryngeal cancer treated locally with surgery. We applied Cox regression proportional hazards modeling to identify multigene predictors of recurrence. Gene models were then validated in two independent cohorts of 54 and 187 patients (fresh-frozen and formalin-fixed tissue validation sets, respectively).

resultsWe focused on genes univariately associated with DFS (p<0.01) in the training set. Among several models comprising different numbers of genes, a 30-probe set model demonstrated optimal performance in both the training (log-rank, p<0.001) and 1(st) validation (p=0.010) sets. Specifically, in the 1(st) validation set, median DFS as predicted by the 30-probe set model, was 34 and 80 months for high- and low-risk patients, respectively. Hazard ratio (HR) for recurrence in the high-risk group was 3.87 (95% CI 1.28-11.73, Wald's p=0.017). Testing the expression of selected genes from the above model in the 2(nd) validation set, with qPCR, revealed significant associations of single markers, such as ACE2, FLOT1 and PRKD1, with patient DFS. High PRKD1 remained an unfavorable prognostic marker upon multivariate analysis (HR=2.00, 95% CI 1.28-3.14, p=0.002) along with positive nodal status.

conclusionsWe have established and validated gene models that can successfully stratify patients with laryngeal cancer, based on their risk for recurrence. It seems worthy to prospectively validate PRKD1 expression as a laryngeal cancer prognostic marker, for routine clinical applications.

Indexed as

Gene ExpressionAdultAgedAged, 80 and overAngiotensin-Converting Enzyme 2Biomarkers, TumorCarcinomaDisease-Free SurvivalFemaleGene Expression ProfilingHumansLaryngeal NeoplasmsLarynxLongitudinal StudiesMaleMembrane ProteinsACE2 protein, humanAngiotensin-Converting Enzyme 2Biomarkers, TumorflotillinsMembrane ProteinsPeptidyl-Dipeptidase AProtein Kinase Cprotein kinase D

Identifiers

PMID23950933
PMCPMC3739775

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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.