ArticlePloS one2013
Identification and validation of a multigene predictor of recurrence in primary laryngeal cancer.
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.
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Who cites it
52 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Loss of p53-DREAM-mediated repression of cell cycle genes as a driver of lymph node metastasis in head and neck cancer.Genome medicine · 2023Pooled it
- Development and Validation of an Immune-Related Prognostic Signature for Laryngeal Squamous Cell Carcinoma.Journal of clinical medicine · 2026Article
- PRECOG update: an augmented resource of clinical outcome associations with gene expression for adult, pediatric, and immunotherapy cohorts.Nucleic acids research · 2026Article
- CDCSI: a machine learning-based interpretable cell death and cellular senescence index for prognosis improvement, immune landscape characterization, and therapeutic response prediction in head and neck squamous cell carcinoma.Frontiers in immunology · 2026Article
- Single-cell Deciphering of the Progression Trajectories of the Tumor Ecosystem in Laryngeal Squamous Cell Carcinoma.International journal of biological sciences · 2026Article
- Characterization of PANoptosis-related expression pattern, prognosis and tumor microenvironment in head and neck squamous cell carcinoma.Discover oncology · 2025Article
- Integrative analysis identifiedTranslational cancer research · 2025Article
- Angiotensin‑converting enzyme 2 expression in human tumors: Implications for prognosis and therapy (Review).Oncology reports · 2025Review
- 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
- Mapping the Interactome of OSCC Prognostic-Associated Proteins NDRG1 and PGK1 Through Proximity Labeling Using TurboID.Journal of proteome research · 2025Article
- Prognostic and therapeutic insights from lactate metabolism and tumor immune microenvironment in head and neck squamous cell carcinoma.Discover oncology · 2025Article
- Transcriptomics-based exploration of ubiquitination-related biomarkers and potential molecular mechanisms in laryngeal squamous cell carcinoma.BMC medical genomics · 2025Article
- Multiple machine learning-based integrations of multi-omics data to identify molecular subtypes and construct a prognostic model for HNSCC.Hereditas · 2025Article
- Metabolic profiles in laryngeal cancer defined two distinct molecular subtypes with divergent prognoses.Frontiers in immunology · 2025Article
- Identification of a Lactate Accumulation Model to Explain the Heterogeneity in Prognosis, Immune Landscape, and Tumor Environment for HNSCC patients.Journal of Cancer · 2025Article
- Integrating immune multi-omics and machine learning to improve prognosis, immune landscape, and sensitivity to first- and second-line treatments for head and neck squamous cell carcinoma.Scientific reports · 2024Article
- NID1 promotes laryngeal cancer stemness via activating WNT pathway.Biology direct · 2024Article
- Characterization of macrophages in head and neck squamous cell carcinoma and development of MRG-based risk signature.Scientific reports · 2024Article
- Tumor-infiltrating immune cells and survival in head and neck squamous cell carcinoma: a retrospective computational study.Scientific reports · 2024Article
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Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
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