ArticleHead & neck2021
Development of a multiomics database for personalized prognostic forecasting in head and neck cancer: The Big Data to Decide EU Project.
Article in Head & neck, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed, 34 citations in OpenAlex.
- Development of a Clinical Assay to Guide Patient Therapy in HPV-Associated Head and Neck Cancer.Clinical cancer research : an official journal of the American Association for Cancer Research · 2026Article
- Personalized treatment in HPV+ oropharynx cancer using genomic adjusted radiation dose.The Journal of clinical investigation · 2025Observational
- Genomic adjusted radiation dose stratifies radiotherapy dosing based on tumor-specific sensitivity in HPV+ oropharyngeal cancer.The Journal of clinical investigation · 2025Article
- Personalization of Radiotherapy Dose in HPV Positive Oropharynx Cancer Using GARD.medRxiv : the preprint server for health sciences · 2025Article
- Interplay between MRI radiomics and immune gene expression signatures in oral squamous cell carcinoma.Scientific reports · 2025Article
- Ferroptosis-Related Gene Signatures: Prognostic Role in HPV-Positive Oropharyngeal Squamous Cell Carcinoma.Cancers · 2025Article
- LAT1 expression in head and neck cancer: a prognostic biomarker with potential relevance for BNCT.Frontiers in oncology · 2025Article
- Development and validation of a multimodal feature fusion-based model for predicting postoperative recurrence-free survival in locally advanced laryngeal squamous cell carcinoma.Frontiers in oncology · 2025Article
- MRI radiomics in head and neck cancer from reproducibility to combined approaches.Scientific reports · 2024Article
- The Use of Artificial Intelligence in Head and Neck Cancers: A Multidisciplinary Survey.Journal of personalized medicine · 2024Article
- Article
- MRI-based radiomic prognostic signature for locally advanced oral cavity squamous cell carcinoma: development, testing and comparison with genomic prognostic signatures.Biomarker research · 2023Article
- Radiomics in Hypopharyngeal Cancer Management: A State-of-the-Art Review.Biomedicines · 2023Review
- A multicenter randomized trial for quality of life evaluation by non-invasive intelligent tools during post-curative treatment follow-up for head and neck cancer: Clinical study protocol.Frontiers in oncology · 2023Article
- An MRI-based radiomics-clinical nomogram for the overall survival prediction in patients with hypopharyngeal squamous cell carcinoma: a multi-cohort study.European radiology · 2022Article
- Association of smoking status, duration and amount with the risk of head and neck cancer subtypes: a national population-based study.American journal of cancer research · 2022Article
- Article
- Review
- Development of a multiomics database for personalized prognostic forecasting in head and neck cancer: The Big Data to Decide EU Project.Head & neck · 2021Article
- Clinical Validity of a Prognostic Gene Expression Cluster-Based Model in Human Papillomavirus-Positive Oropharyngeal Carcinoma.JCO precision oncology · 2021Observational
Corrections and comments
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Authors and funding
28 authors at 15 institutions in 7 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundDespite advances in treatments, 30% to 50% of stage III-IV head and neck squamous cell carcinoma (HNSCC) patients relapse within 2 years after treatment. The Big Data to Decide (BD2Decide) project aimed to build a database for prognostic prediction modeling.
methodsStage III-IV HNSCC patients with locoregionally advanced HNSCC treated with curative intent (1537) were included. Whole transcriptomics and radiomics analyses were performed using pretreatment tumor samples and computed tomography/magnetic resonance imaging scans, respectively.
resultsThe entire cohort was composed of 71% male (1097)and 29% female (440): oral cavity (429, 28%), oropharynx (624, 41%), larynx (314, 20%), and hypopharynx (170, 11%); median follow-up 50.5 months. Transcriptomics and imaging data were available for 1284 (83%) and 1239 (80%) cases, respectively; 1047 (68%) patients shared both.
conclusionsThis annotated database represents the HNSCC largest available repository and will enable to develop/validate a decision support system integrating multiscale data to explore through classical and machine learning models their prognostic role.
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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.