Back to Search Start Over

Integrated mutational and cytogenetic analysis identifies new prognostic subgroups in chronic lymphocytic leukemia

Authors :
Rossi, D
Rasi, S
Spina, V
Bruscaggin, A
Monti, S
Ciardullo, C
Deambrogi, C
Khiabanian, H
Serra, R
Bertoni, F
Forconi, F
Laurenti, Luca
Marasca, R
Dal Bo, M
Rossi, Fm
Bulian, P
Nomdedeu, J
Del Poeta, G
Gattei, V
Pasqualucci, L
Rabadan, R
Foà, R
Dalla Favera, R
Gaidano, G.
Laurenti, Luca (ORCID:0000-0002-8327-1396)
Rossi, D
Rasi, S
Spina, V
Bruscaggin, A
Monti, S
Ciardullo, C
Deambrogi, C
Khiabanian, H
Serra, R
Bertoni, F
Forconi, F
Laurenti, Luca
Marasca, R
Dal Bo, M
Rossi, Fm
Bulian, P
Nomdedeu, J
Del Poeta, G
Gattei, V
Pasqualucci, L
Rabadan, R
Foà, R
Dalla Favera, R
Gaidano, G.
Laurenti, Luca (ORCID:0000-0002-8327-1396)
Publication Year :
2013

Abstract

The identification of new genetic lesions in chronic lymphocytic leukemia (CLL) prompts a comprehensive and dynamic prognostic algorithm including gene mutations and chromosomal abnormalities and their changes during clonal evolution. By integrating mutational and cytogenetic analysis in 1274 CLL samples and using both a training-validation and a time-dependent design, 4 CLL subgroups were hierarchically classified: (1) high-risk, harboring TP53 and/or BIRC3 abnormalities (10-year survival: 29%); (2) intermediate-risk, harboring NOTCH1 and/or SF3B1 mutations and/or del11q22-q23 (10-year survival: 37%); (3) low-risk, harboring +12 or a normal genetics (10-year survival: 57%); and (4) very low-risk, harboring del13q14 only, whose 10-year survival (69.3%) did not significantly differ from a matched general population. This integrated mutational and cytogenetic model independently predicted survival, improved CLL prognostication accuracy compared with FISH karyotype (P < .0001), and was externally validated in an independent CLL cohort. Clonal evolution from lower to higher risk implicated the emergence of NOTCH1, SF3B1, and BIRC3 abnormalities in addition to TP53 and 11q22-q23 lesions. By taking into account clonal evolution through time-dependent analysis, the genetic model maintained its prognostic relevance at any time from diagnosis. These findings may have relevant implications for the design of clinical trials aimed at assessing the use of mutational profiling to inform therapeutic decisions.

Details

Database :
OAIster
Notes :
English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1105015795
Document Type :
Electronic Resource