A prognostic model for survival in chronic lymphocytic leukaemia based on p53 expression

Francis J. Giles, B. Nebiyou Bekele, Susan O'Brien, Jorge E. Cortes, Srdan Verstovsek, Maria Balerdi, Marwan Yared, Xian Zhou, Hagop M. Kantarjian, Michael J. Keating, Peter Thall, Maher Albitar

Research output: Contribution to journalArticlepeer-review

23 Scopus citations


As the abnormal expression of p53 protein is prognostically significant in some human cancers, its significance in patients with B-cell chronic lymphocytic leukaemia (CLL) was assessed. Two investigators evaluated the percentage of bone marrow mononuclear cells that stained for p53, using biopsies stained with anti-p53 monoclonal antibody (DO-7), and graded the degree of staining (0, +, ++, +++). Samples from a cohort of 90 patients with CLL were studied (median age 60 years, range 30-89 years; 57 patients were (63%) previously untreated, 22 patients (24%) had received one or two prior regimens, 11 patients had received (12%) three to seven regimens. The overall percentage of cells positive for p53 staining was a median of 43 (range 1-88). No investigator effect was detected either in overall percentage cells rated p53 positive or on the degree of staining (Pearson's correlation coefficient 0.980, P-value <0.001). A Cox proportional hazards model showed that the percentage of ++ and +++ p53-positive cells correlated with various prognostic factors in CLL (P < 0.0001). A multivariate model incorporating prior therapy, Rai stage, beta2 microglobulin (β2M) and p53 expression showed that only the percentage of p53-positive cells and β2M were predictive of survival, and enabled the development of a highly predictive model of survival based on these two parameters.

Original languageEnglish (US)
Pages (from-to)578-585
Number of pages8
JournalBritish Journal of Haematology
Issue number4
StatePublished - May 2003
Externally publishedYes


  • Chronic lymphocytic leukaemia
  • Immunoperoxidase
  • Prognosis
  • Survival
  • p53

ASJC Scopus subject areas

  • Hematology


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