We present a laboratory-based prognostic calculator (designated CRO score) to risk stratify treatment-free survival in early stage (Rai 0) chronic lymphocytic leukemia developed using a training-validation model in a series of 1,879 cases from Italy, the United Kingdom and the United States. By means of regression analysis, we identified five prognostic variables with weighting as follows: deletion of the short arm of chromosome 17 and unmutated immunoglobulin heavy chain gene status, 2 points; deletion of the long arm of chromosome 11, trisomy of chromosome 12, and white blood cell count>32.0x103/microliter, 1 point. Low, intermediate and high-risk categories were established by recursive partitioning in a training cohort of 478 cases, and then validated in four independent cohorts of 144/395/540/322 cases, as well as in the composite validation cohort. Concordance indices were 0.75 in the training cohort and ranged from 0.63 to 0.74 in the four validation cohorts (0.69 in the composite validation cohort). These findings advocate potential application of our novel prognostic calculator to better stratify early-stage chronic lymphocytic leukemia, and aid case selection in risk-adapted treatment for early disease. Furthermore, they support immunocytogenetic analysis in Rai 0 chronic lymphocytic leukemia being performed at the time of diagnosis to aid prognosis and treatment, particularly in today's chemo-free era.

Cohen, J.a., Rossi, F.m., Zucchetto, A., Bomben, R., Terzi-di-Bergamo, L., Rabe, K.g., et al. (2019). A laboratory-based scoring system predicts early treatment in Rai 0 chronic lymphocytic leukemia. HAEMATOLOGICA, haematol.2019.228171 [10.3324/haematol.2019.228171].

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

Del Poeta, Giovanni;
2019-10-03

Abstract

We present a laboratory-based prognostic calculator (designated CRO score) to risk stratify treatment-free survival in early stage (Rai 0) chronic lymphocytic leukemia developed using a training-validation model in a series of 1,879 cases from Italy, the United Kingdom and the United States. By means of regression analysis, we identified five prognostic variables with weighting as follows: deletion of the short arm of chromosome 17 and unmutated immunoglobulin heavy chain gene status, 2 points; deletion of the long arm of chromosome 11, trisomy of chromosome 12, and white blood cell count>32.0x103/microliter, 1 point. Low, intermediate and high-risk categories were established by recursive partitioning in a training cohort of 478 cases, and then validated in four independent cohorts of 144/395/540/322 cases, as well as in the composite validation cohort. Concordance indices were 0.75 in the training cohort and ranged from 0.63 to 0.74 in the four validation cohorts (0.69 in the composite validation cohort). These findings advocate potential application of our novel prognostic calculator to better stratify early-stage chronic lymphocytic leukemia, and aid case selection in risk-adapted treatment for early disease. Furthermore, they support immunocytogenetic analysis in Rai 0 chronic lymphocytic leukemia being performed at the time of diagnosis to aid prognosis and treatment, particularly in today's chemo-free era.
3-ott-2019
Pubblicato
Rilevanza internazionale
Articolo
Esperti anonimi
Settore MED/15 - MALATTIE DEL SANGUE
English
Con Impact Factor ISI
Chronic Lymphocytic Leukemia; Cytogenetics and Molecular Genetics; Immunophenotyping
Cohen, J.a., Rossi, F.m., Zucchetto, A., Bomben, R., Terzi-di-Bergamo, L., Rabe, K.g., et al. (2019). A laboratory-based scoring system predicts early treatment in Rai 0 chronic lymphocytic leukemia. HAEMATOLOGICA, haematol.2019.228171 [10.3324/haematol.2019.228171].
Cohen, Ja; Rossi, Fm; Zucchetto, A; Bomben, R; Terzi-di-Bergamo, L; Rabe, Kg; Degan, M; Steffan, A; Polesel, J; Santinelli, E; Innocenti, I; Cutrona, G; D' Arena, G; Pozzato, G; Zaja, F; Chiarenza, A; Rossi, D; Di Raimondo, F; Laurenti, L; Gentile, M; Morabito, F; Neri, A; Ferrarini, M; Fegan, Cd; Pepper, Cj; Del Poeta, G; Parikh, Sa; Kay, Ne; Gattei, V
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2108/241248
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