A laboratory-based scoring system predicts early treatment in Rai 0 chronic lymphocytic leukemia

J.A. Cohen, F.M. Rossi, A. Zucchetto, R. Bomben, L. Terzi-Di-Bergamo, K.G. Rabe, M. Degan, A. Steffan, J. Polesel, E. Santinelli, I. Innocenti, G. Cutrona, G. D'Arena, G. Pozzato, F. Zaja, A. Chiarenza, D. Rossi, F. Di Raimondo, L. Laurenti, M. GentileF. Morabito, A. Neri, M. Ferrarini, C.D. Fegan, C.J. Pepper, G.D. Poeta, S.A. Parikh, N.E. Kay, V. Gattei

Research output: Contribution to journalArticle

Original languageEnglish
Pages (from-to)1613-1620
Number of pages8
Issue number6
Publication statusPublished - 2020


  • adult
  • aged
  • Article
  • cancer specific survival
  • chromosome 17
  • chronic lymphatic leukemia
  • cohort analysis
  • fluorescence in situ hybridization
  • gene expression
  • gene frequency
  • gene mutation
  • human
  • in situ hybridization
  • learning algorithm
  • leukocyte count
  • major clinical study
  • male
  • nuclear magnetic resonance imaging
  • observational study
  • overall survival
  • risk factor
  • RNA splicing
  • scoring system
  • sensitivity analysis
  • white matter

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