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  3. Prognostic Score and Cytogenetic Risk Classification for Chronic Lymphocytic Leukemia Patients: Center for International Blood and Marrow Transplant Research Report.
 

Prognostic Score and Cytogenetic Risk Classification for Chronic Lymphocytic Leukemia Patients: Center for International Blood and Marrow Transplant Research Report.

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BORIS DOI
10.7892/boris.133382
Publisher DOI
10.1158/1078-0432.CCR-18-3988
PubMed ID
31253630
Description
PURPOSE

To develop a prognostic model and cytogenetic risk classification for previously treated patients with chronic lymphocytic leukemia (CLL) undergoing reduced intensity conditioning (RIC) allogeneic hematopoietic cell transplantation (HCT).

EXPERIMENTAL DESIGN

We performed a retrospective analysis of outcomes of 606 patients with CLL who underwent RIC allogeneic HCT between 2008 and 2014 reported to the Center for International Blood and Marrow Transplant Research.

RESULTS

On the basis of multivariable models, disease status, comorbidity index, lymphocyte count, and white blood cell count at HCT were selected for the development of prognostic model. Using the prognostic score, we stratified patients into low-, intermediate-, high-, and very-high-risk [4-year progression-free survival (PFS) 58%, 42%, 33%, and 25%, respectively, P < 0.0001; 4-year overall survival (OS) 70%, 57%, 54%, and 38%, respectively, P < 0.0001]. We also evaluated karyotypic abnormalities together with del(17p) and found that del(17p) or ≥5 abnormalities showed inferior PFS. Using a multivariable model, we classified cytogenetic risk into low, intermediate, and high (P < 0.0001). When the prognostic score and cytogenetic risk were combined, patients with low prognostic score and low cytogenetic risk had prolonged PFS (61% at 4 years) and OS (75% at 4 years).

CONCLUSIONS

In this large cohort of patients with previously treated CLL who underwent RIC HCT, we developed a robust prognostic scoring system of HCT outcomes and a novel cytogenetic-based risk stratification system. These prognostic models can be used for counseling patients, comparing data across studies, and providing a benchmark for future interventions. For future study, we will further validate these models for patients receiving targeted therapies prior to HCT.
Date of Publication
2019-08-15
Publication Type
Article
Subject(s)
600 Technology > 610 Medicine & health
Language(s)
en
Contributor(s)
Kim, Haesook T
Ahn, Kwang Woo
Hu, Zhen-Huan
Davids, Matthew S
Volpe, Virginia O
Antin, Joseph H
Sorror, Mohamed L
Shadman, Mazyar
Press, Oliver
Pidala, Joseph
Hogan, William
Negrin, Robert
Devine, Steven
Uberti, Joseph
Agura, Edward
Nash, Richard
Mehta, Jayesh
McGuirk, Joseph
Forman, Stephen
Langston, Amelia
Giralt, Sergio A
Perales, Miguel-Angel
Battiwalla, Minoo
Hale, Gregory A
Gale, Robert Peter
Marks, David I
Hamadani, Mehdi
Ganguly, Sid
Bacher, Vera Ulrike
Universitätsklinik für Hämatologie und Hämatologisches Zentrallabor
Lazarus, Hillard
Reshef, Ran
Hildebrandt, Gerhard C
Inamoto, Yoshihiro
Cahn, Jean-Yves
Solh, Melhem
Kharfan-Dabaja, Mohamed A
Ghosh, Nilanjan
Saad, Ayman
Aljurf, Mahmoud
Schouten, Harry C
Hill, Brian T
Pawarode, Attaphol
Kindwall-Keller, Tamila
Saba, Nakhle
Copelan, Edward A
Nathan, Sunita
Beitinjaneh, Amer
Savani, Bipin N
Cerny, Jan
Grunwald, Michael R
Yared, Jean
Wirk, Baldeep M
Nishihori, Taiga
Chhabra, Saurabh
Olsson, Richard F
Bashey, Asad
Gergis, Usama
Popat, Uday
Sobecks, Ronald
Alyea, Edwin
Saber, Wael
Brown, Jennifer R
Additional Credits
Universitätsklinik für Hämatologie und Hämatologisches Zentrallabor
Series
Clinical cancer research
Publisher
American Association for Cancer Research
ISSN
1078-0432
Access(Rights)
restricted
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