A prognostic multigene classifier for squamous cell carcinomas of the larynx

Valentina Mirisola, Renzo Mora, Alessia Isabella Esposito, Luca Guastini, Flavia Tabacchiera, Laura Paleari, Adriana Amaro, Giovanna Angelini, Massimo Dellepiane, Ulrich Pfeffer, Angelo Salami

Research output: Contribution to journalArticlepeer-review


Survival after diagnosis of laryngeal cancer has not improved over the last 20. years. Selection of patients for radio- and chemotherapy or surgery or follow-up strategies based on a prognostic classifier could improve survival without unduly extending radical surgery.We performed microarray gene expression analysis and developed a four-gene classifier for laryngeal cancer using Prediction Analysis of Microarray and leave-one-out cross validation. A four-gene classifier containing the non-coding gene H19, the histone HIST1H3F and the two small nucleolar RNAs, SNORA16A and SNORD14C was developed that assigns cases to low and high risk classes. The high risk class has a relative risk of 6.5 (CI = 1.817-23.258, Fisher exact test p

Original languageEnglish
Pages (from-to)37-46
Number of pages10
JournalCancer Letters
Issue number1
Publication statusPublished - Aug 1 2011


  • Gene expression profiling
  • Imprinting
  • Laryngeal cancer
  • Molecular classification

ASJC Scopus subject areas

  • Cancer Research
  • Oncology


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