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2930 A Comprehensive Progression Risk Score to Predict Treatment Free Survival for Early Stage Chronic Lymphocytic Leukemia Patients

CLL: Biology and Pathophysiology, excluding Therapy
Program: Oral and Poster Abstracts
Session: 641. CLL: Biology and Pathophysiology, excluding Therapy: Poster II
Sunday, December 6, 2015, 6:00 PM-8:00 PM
Hall A, Level 2 (Orange County Convention Center)

Massimo Gentile, MD1*, Tait D. Shanafelt, M.D.2, Giovanna Cutrona, PhD3*, Stefano Molica, MD4, Giovanni Tripepi, PhD5*, Isabel Alvarez6*, Francesca Romana Mauro, MD, PhD7*, Nicola Di Renzo8*, Francesco Di Raimondo9, Iolanda D. Vincelli10*, Katia Todoerti11*, Serena Matis, PhD12*, Caterina Musolino13*, Sonia Fabris, BSc14*, Ernesto Vigna15*, Luciano Levato, MD16*, Simona Zupo17*, Francesco Angrilli, MD18*, Ugo Consoli, MD19*, Gianluca Festini20*, Giuseppe Longo21*, Agostino Cortelezzi, MD22, Annalisa Arcari23*, Massimo Federico24, Donato Mannina, MD25*, Anna Grazia Recchia, PhD26*, Neil E. Kay, MD27, Manlio Ferrarini, MD28, Antonino Neri, Pr, MD29 and Fortunato Morabito, MD30*

1UOC Ematologia, Ospedale Annunziata, Cosenza, Italy
2Hematology, Mayo Clinic, Rochester, MN
3UO Molecular Patology, IRCCS San Martino-IST, Genoa, Italy
4Oncology/Hematology, Azienda Ospedaliera Pugliese-Ciaccio, Catanzaro, Italy
5Istituto di Biomedicina ed Immunologia Molecolare,, Consiglio Nazionale delle Ricerche,, Reggio Calabria, Italy
6Division of Haematology, Arcispedale S. Maria Nuova/IRCCS, Reggio Emilia, Italy, Reggio Emilia, Italy
7Department of Cellular Biotechnologies and Hematology, Sapienza University, Rome, Italy
8Hematology, Ospedale Vito Fazzi, Lecce, Italy
9Department of Clinical and Molecular Biomedicine, University of Catania, Catania, Italy
10Hematology Unit, AO di Reggio Calabria, Reggio Calabria, Italy
11Laboratory of Pre-clinical and Translational Research, IRCCS Rionero in Vulture, Rionero in Vulture, Italy
12Direzione Scientifica, IRCCS San Martino-IST, Genova, Italy
13Section of Hematology, A.O.U. Policlinico, Messina, Italy
14IRCCS Ca’ Granda Ospedale Maggiore Policlinico and University of Milan, MILAN, Italy
15Hematology Unit, A.O. of Cosenza, Cosenza, Italy, Cosenza, Italy
16Section of Hematology, A.O. Pugliese-Ciaccio, Catanzaro, Italy
17San Martino IST, IRCCS, Genova, Italy
18Hematology and BMT Center, Spirito Santo Hospital, Pescara, Italy
19Hematology-Oncology Division,, Garibaldi-Nesima Hospital of Catania, Catania, Italy
20Centro di Riferimento Ematologico-Seconda Medicina, Azianda Ospedaliera Universitaria, Trieste, Italy
21Ematologia, Ospedale San Vincenzo, Taormina, Italy
22Oncohematology Unit, University of Milan, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
23Department of Oncology and Hematology, G. da Saliceto Hospital, Piacenza, Italy
24Oncologia Medica, Università di Modena e Reggio Emilia, Modena, Italy
25Ospedale Papardo, Messina, Italy
26Unità di Ricerca Biotecnologica, Aprigliano (CS), Italy
27Division of Hematology, Mayo Clinic, Rochester, MN
28Scientific Direction, IRCCS San Martino-IST, Genova, Italy
29Department Medical Sciences, Hematology 1 CTMO, University of Milan, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
30Section of Hematology, A.O. L'Annunziata of Cosenza, Cosenza, Italy

Background: Over the last two decades several phenotypic, molecular, and chromosomal markers have been identified that are significantly associated with the prognosis of CLL patients. Therefore, clinicians managing CLL patients would benefit from a simplified prognostic index.

Methods: We analyzed prospectively collected data from 337 Binet A CLL patients enrolled in Italian the O-CLL1-GISL protocol with the aim of developing scores capable of predicting treatment free survival (TFS). Factors independently associated with TFS were included in the prognostic indexes. To account for differences in the magnitude of the association between the individual independent factors and TFS, we assigned a weighted risk score to each factor based on ranges of their corresponding hazard ratios (HRs) (i.e., 1 point for HR 1.1-1.9; 2 points for HR 2.0-2.9, etc.). The total risk score was then calculated by the sum of the ratings of each factor on individual basis. Risk groups were identified combining risk categories with a non-statistically different TFS.

Results: We developed two scores based on weighted multivariable models: the first included clinical and laboratory parameters [clinical score (c-score)], while the second was based on biological markers [biological score (b-score)] (Table 1). The c-score allowed to predict the TFS of patients through the combination of Rai stage, b2-microglobulin and absolute lymphocyte count (ALC), while the b-score predicted TFS by IGHV mutational status and CD38 expression. The c-score showed a C-statistic of 0.72, while the b-score was 0.67, although cases stratified according to the b-score showed a more specific mRNA/microRNA profile. When the two scores were forced in a multivariate analysis, both showed an independent predictive value on TFS with a similar HR, demonstrating their complementarity. Thus, we attempted to integrate the two scores performing a further multivariate analysis in which all parameters, significantly associated with TFS at univariate analysis, were tested (Table 1). ALC, Rai stage, b2-microglobulin together with IGHV mutational status, resulted independently associated with TFS. We constructed a weighted score [comprehensive score (co-score)], including all the above 4 variables, which allowed the identification of 3 different risk groups with significantly different TFS (Figure 1). The C-statistic of the g-score was 0.75, showing a better concordance than the other two scores. Moreover, its validity was externally validated in a series of 297 newly diagnosed Binet A CLL patients from the Mayo Clinic, USA.

Conclusions: Using this multistep process and external validation, we developed a score with high discriminatory power and predictive significance on the individual patient level.


Table 1. Univariate and multivariate Cox proportional Hazards Models

Variable

Univariate analysis

Multivariate analysis

Clinical model

Biological model

Comprehensive model

HR

(95% CI)

P

HR

(95% CI)

P

score

HR

(95% CI)

P

score

HR

(95% CI)

P

score

Age (years)

<60/≥60

1.12

(0.73-1.74)

0.59

-

-

-

-

-

-

-

-

-

Sex

Male/Female

0.93

(0.6-1.44)

0.93

-

-

-

-

-

-

-

-

-

Rai stage

0/I-II

2.30

(1.47-3.50)

<0.0001

2.13

(1.24-3.03)

0.004

0/2

-

-

-

1.76

(1.11-2.78)

0.015

0/1

ALC (109/L)

<10/≥10

3.43

(1.99-5.92)

<0.0001

2.91

(1.85-5.20)

<0.0001

0/2

-

-

-

2.70

(1.54-4.72)

0.001

0/2

b-2 microglobulin

normal/elevated

3.04

(1.96-4.70)

<0.0001

2.78

(1.79-4.30)

<0.0001

0/2

-

-

-

2.65

(1.66-4.21)

<0.0001

0/2

LDH

normal/elevated

1.25

(0.57-2.71)

0.57

-

-

-

-

-

-

-

-

-

CD38

negative/positive

3.22

(2.06-5.02)

<0.0001

-

-

-

2.11

(1.15-3.16)

0.02

0/2

1.40

(0.80-2.42)

0.24

-

ZAP-70

negative/positive

2.34

(1.51-3.61)

<0.0001

-

-

-

1.21

(0.70-2.16)

0.485

-

1.0

(0.98-1.01)

0.72

-

IGHV

mutated/unmutated

3.57

(2.32-5.50)

<0.0001

-

-

-

2.10

(1.12-3.90)

0.019

0/2

2.39

(1.27-4.50)

0.007

0/2

FISH risk

low+int/high

2.93

(1.46-5.90)

0.002

-

-

-

1.65

(0.76-3.34)

0.216

-

1.80

(0.84-3.88)

0.13

-

Abbreviations: ALC: absolute lymphocyte count; CI: confidential interval; HR: hazard ratio.


Figure 1. TFS according to comprehensive progression risk score.

Disclosures: Shanafelt: Cephalon: Research Funding ; Glaxo-Smith-Kline: Research Funding ; Genentech: Research Funding ; Hospira: Research Funding ; Celgene: Research Funding ; Jannsen: Research Funding ; Polyphenon E International: Research Funding ; Pharmacyclics: Research Funding . Kay: Genentech: Research Funding ; Celgene Corporation: Membership on an entity’s Board of Directors or advisory committees , Research Funding ; Gilead: Membership on an entity’s Board of Directors or advisory committees , Research Funding ; Hospira: Research Funding ; Tolero Pharma: Research Funding ; Pharmacyclics: Research Funding .

*signifies non-member of ASH