Using prognostic models in CLL to personalize approach to clinical care: Are we there yet?

Abstract:

:Four decades ago, two staging systems were developed to help stratify CLL into different prognostic categories. These systems, the Rai and the Binet staging, depended entirely on abnormal exam findings and evidence of anemia and thrombocytopenia. Better understanding of biologic, genetic, and molecular characteristics of CLL have contributed to better appreciating its clinical heterogeneity. New prognostic models, the GCLLSG prognostic index and the CLL-IPI, emerged. They incorporate biologic and genetic information related to CLL and are capable of predicting survival outcomes and cases anticipated to need therapy earlier in the disease course. Accordingly, these newer models are helping develop better informed surveillance strategies and ultimately tailor treatment intensity according to presence (or lack thereof) of certain prognostic markers. This represents a step towards personalizing care of CLL patients. We anticipate that as more prognostic factors continue to be identified, the GCLLSG prognostic index and CLL-IPI models will undergo further revisions.

journal_name

Blood Rev

journal_title

Blood reviews

authors

Mina A,Sandoval Sus J,Sleiman E,Pinilla-Ibarz J,Awan FT,Kharfan-Dabaja MA

doi

10.1016/j.blre.2017.10.003

subject

Has Abstract

pub_date

2018-03-01 00:00:00

pages

159-166

issue

2

eissn

0268-960X

issn

1532-1681

pii

S0268-960X(17)30053-X

journal_volume

32

pub_type

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