Development of a multiomics database for personalized prognostic forecasting in head and neck cancer: The Big Data to Decide EU Project

Stefano Cavalieri*, Loris De Cecco, Ruud H. Brakenhoff, Mara Serena Serafini, Silvana Canevari, Silvia Rossi, Davide Lanfranco, Frank J. P. Hoebers, Frederik W. R. Wesseling, Simon Keek, Kathrin Scheckenbach, Davide Mattavelli, Thomas Hoffmann, Laura Lopez Perez, Giuseppe Fico, Marco Bologna, Irene Nauta, C. Rene Leemans, Annalisa Trama, Thomas KlauschJohannes Hans Berkhof, Vasilis Tountopoulos, Ron Shefi, Luca Mainardi, Franco Mercalli, Tito Poli, Lisa Licitra, BD2Decide Consortium

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

5 Citations (Web of Science)

Abstract

Background Despite 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.

Methods Stage 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.

Results The 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.

Conclusions This 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.

Original languageEnglish
Pages (from-to)601-612
Number of pages12
JournalHead and Neck-Journal for the Sciences and Specialties of the Head and Neck
Volume43
Issue number2
Early online date27 Oct 2020
DOIs
Publication statusPublished - Feb 2021

Keywords

  • big data
  • head and neck cancer
  • prognostic models
  • radiomics
  • transcriptomics
  • QUALITY-OF-LIFE
  • HUMAN-PAPILLOMAVIRUS
  • EUROPEAN-ORGANIZATION
  • OROPHARYNGEAL CANCER
  • CARCINOMA PATIENTS
  • SURVIVAL
  • VALIDATION
  • COMORBIDITY
  • PREDICTION
  • SIGNATURE

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