2013
DOI: 10.1182/blood-2012-09-458265
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Integrated mutational and cytogenetic analysis identifies new prognostic subgroups in chronic lymphocytic leukemia

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 trainingvalidation 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) intermedia… Show more

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Cited by 429 publications
(417 citation statements)
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“…The risk factors studied included those factors initially reported (Oscier et al , 2010), as well as other, more recently described, gene mutations (Oscier et al , 2013) (Table 4). The good risk factors associated with long survival mirror those identified by Rossi et al (2013) and, conversely, salvage treatment was ineffective in non‐responders to first‐line FC, two‐thirds of whom had a TP53 deletion (Fig 2D).…”
Section: Discussionsupporting
confidence: 75%
“…The risk factors studied included those factors initially reported (Oscier et al , 2010), as well as other, more recently described, gene mutations (Oscier et al , 2013) (Table 4). The good risk factors associated with long survival mirror those identified by Rossi et al (2013) and, conversely, salvage treatment was ineffective in non‐responders to first‐line FC, two‐thirds of whom had a TP53 deletion (Fig 2D).…”
Section: Discussionsupporting
confidence: 75%
“…Thus, dedicated prospective clinical studies are warranted to assess the biological and prognostic associations of ICN1 expression rather than NOTCH1 mutations in CLL alone, especially in the context of anti-CD20-based therapies. This analysis may allow further refinement of the recent mutation/cytogenetic hierarchical model of classification of patients with CLL in distinct risk classes (65). Finally, we propose that ICN1 expression may also represent a more reliable biomarker of NOTCH1 activation in the testing of prognostic criteria and therapeutics agents targeting NOTCH1 (28, 66).…”
Section: Notch1mentioning
confidence: 88%
“…CHD2 15 , MED12 16 , NFKBIE 17 , POT1 18 , RPS15 19 , SETD2 20 , XPO1 21 ). Though integration of molecular information has been proposed to improve classical risk stratification models [22][23][24][25] , a substantial proportion of patients with a dismal clinical course will not be captured by these algorithms, hence indicating a need to identify additional molecular markers of disease aggressiveness.…”
Section: Introductionmentioning
confidence: 99%