Risk scores predicting disease progression in early‐stage CLL: Comparative analysis and usefulness of IGHV subset #2 to improve their accuracy

Author:

Arguello‐Tomas Miguel1234ORCID,Mozas Pablo56ORCID,Albiol Nil56ORCID,López‐Esteban Miguel7,Sierra Jorge1234,Nomdedéu Josep123,Martinez‐Laperche Carolina78,Moga Esther123,Piñeyroa Juan A.56,Delgado Julio569,Osorio Santiago78,Moreno Carol1234

Affiliation:

1. Hospital de la Santa Creu I Sant Pau Barcelona Spain

2. Facultat Medicina Universitat Autònoma Barcelona Barcelona Spain

3. Institut de Recerca Sant Pau Barcelona Spain

4. Institut Josep Carreras Barcelona Spain

5. Hospital Clínic Barcelona Barcelona Spain

6. Institut Investigaciones Biomédicas August Pi i Sunyer Barcelona Spain

7. Hospital General Universitario Gregorio Marañón Madrid Spain

8. Instituto de Investigación Gregorio Marañón Madrid Spain

9. Universitat de Barcelona Barcelona Spain

Abstract

AbstractBackgroundOverall, the prognosis of patients with chronic lymphocytic leukemia (CLL) in the early phase of the disease (Rai 0, Binet A) is favorable; some patients never require therapy. However, some patients require intervention shortly after diagnosis. In the past decade, several risk scores (RS) have been developed to predict disease progression, yet some patients are misclassified. On the other hand, IGHV subset 2 (IGHV2) predicts poor outcomes.MethodsA retrospective and multicentric study was conducted to compare the accuracy of five different RS (IPS‐E, CR0, AIPS‐E, CLL‐IPI, and Barcelona‐Brno) to predict disease progression in 781 stage A previously untreated patients with CLL. As an exploratory analysis, it was further investigated whether the inclusion of the IGHV2 as a poor prognostic parameter improved the accuracy of RS.ResultsAll the scores identified a similar group of patients with CLL in early stage with low‐, intermediate‐, and high‐risk progression. Discrimination was high and similar in all RS (c‐index = 0.74–0.79, area under the curve = 0.7–0.75), as well as calibration (p = .98) and parsimony, although CLL‐IPI showed the best results (Akaike information criterion = 441). A total of 34.4% of patients were categorized within the same RS and concordance was at least moderate between RS.ConclusionMoreover, the results suggest that IGHV2 may improve the accuracy of RS.

Publisher

Wiley

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