ArticleAnnals of oncology : official journal of the European Society for Medical Oncology2012
Identification and validation of gene expression models that predict clinical outcome in patients with early-stage laryngeal cancer.
Article in Annals of oncology : official journal of the European Society for Medical Oncology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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Who cites it
24 citing papers in PubMed.
- Single-cell Deciphering of the Progression Trajectories of the Tumor Ecosystem in Laryngeal Squamous Cell Carcinoma.International journal of biological sciences · 2026Article
- Integrative analysis identifiedTranslational cancer research · 2025Article
- A novel fumaric acid metabolism-related prognostic signature associated with prognosis and immune infiltration landscape in laryngeal squamous cell carcinoma.Translational cancer research · 2025Article
- Evaluation of GDF15 Significance as a Biomarker in Laryngeal Squamous Cell Carcinoma.Journal of clinical medicine · 2025Article
- Improving data interpretability with new differential sample variance gene set tests.BMC bioinformatics · 2025Article
- Global, regional, and national mortality of larynx cancer from 1990 to 2021: results from the global burden of disease study.World journal of surgical oncology · 2025Article
- Article
- Tumor-infiltrating immune cells and survival in head and neck squamous cell carcinoma: a retrospective computational study.Scientific reports · 2024Article
- Molecular characterization, immunocorrelation analysis, WGCNA analysis and machine learning modeling of genes associated with copper death subtypes of laryngeal cancer.Technology and health care : official journal of the European Society for Engineering and Medicine · 2024Article
- Transcriptional subtypes of glottic cancer characterized by differential activation of canonical oncogenic programming.Head & neck · 2023Article
- Transcriptomics and solid tumors: The next frontier in precision cancer medicine.Seminars in cancer biology · 2022Review
- Signature microRNAs and long noncoding RNAs in laryngeal cancer recurrence identified using a competing endogenous RNA network.Molecular medicine reports · 2019Article
- Carbonyl reductase 1 is a new target to improve the effect of radiotherapy on head and neck squamous cell carcinoma.Journal of experimental & clinical cancer research : CR · 2018Article
- Gene expression profiling to predict recurrence of advanced squamous cell carcinoma of the tongue: discovery and external validation.Oncotarget · 2017Article
- Gene Expression Signatures for Head and Neck Cancer Patient Stratification: Are Results Ready for Clinical Application?Current treatment options in oncology · 2017Review
- A 80-gene set potentially predicts the relapse in laryngeal carcinoma optimized by support vector machine.Cancer biomarkers : section A of Disease markers · 2017Article
- Identification of key target genes and pathways in laryngeal carcinoma.Oncology letters · 2016Article
- Virus-encoded microRNA contributes to the molecular profile of EBV-positive Burkitt lymphomas.Oncotarget · 2016Article
- Developing Robust Predictive Models for Head and Neck Cancer across Microarray and RNA-seq Data.ACM-BCB ... ... : the ... ACM Conference on Bioinformatics, Computational Biology and Biomedicine. ACM Conference on Bioinformatics, Computational Biology and Biomedicine · 2015Article
- Use of formalin-fixed paraffin-embedded samples for gene expression studies in breast cancer patients.PloS one · 2015Article
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11 authors.
Funding
Abstract
backgroundDespite improvement in therapeutic techniques, patients with early-stage laryngeal cancer still recur after treatment. Gene expression prognostic models could suggest which of these patients would be more appropriate for testing adjuvant strategies. MATERIALS AND
methodsExpression profiling using whole-genome DASL arrays was carried out on 56 formalin-fixed paraffin-embedded tumor samples of patients with early-stage laryngeal cancer. We split the samples into a training and a validation set. Using the supervised principal components survival analysis in the first cohort, we identified gene expression profiles that predict the risk of recurrence. These profiles were then validated in an independent cohort.
resultsGene models comprising different number of genes identified a subgroup of patients who were at high risk of recurrence. Of these, the best prognostic model distinguished between a high- and a low-risk group (log-rank P<0.005). The prognostic value of this model was reproduced in the validation cohort (median disease-free survival: 38 versus 161 months, log-rank P=0.018), hazard ratio=5.19 (95% confidence interval 1.14-23.57, P<0.05).
conclusionsWe have identified gene expression prognostic models that can refine the estimation of a patient's risk of recurrence. These findings, if further validated, should aid in patient stratification for testing adjuvant treatment strategies.
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