Literature DB >> 23787395

Prediction of poor outcome in CLL patients following first-line treatment with fludarabine, cyclophosphamide and rituximab.

A M Fink, S Böttcher, M Ritgen, K Fischer, N Pflug, B Eichhorst, C-M Wendtner, D Winkler, A Bühler, T Zenz, P Staib, J Mayer, M Hensel, G Hopfinger, M Wenger, G Fingerle-Rowson, H Döhner, M Kneba, S Stilgenbauer, R Busch, M Hallek.   

Abstract

Entities:  

Mesh:

Substances:

Year:  2013        PMID: 23787395      PMCID: PMC3768112          DOI: 10.1038/leu.2013.190

Source DB:  PubMed          Journal:  Leukemia        ISSN: 0887-6924            Impact factor:   11.528


× No keyword cloud information.
Chemoimmunotherapies like the combination of fludarabine, cyclophosphamide, and rituximab (FCR) achieve response rates as high as 95% in patients with previously untreated chronic lymphocytic leukemia (CLL).[1] Further improvements in clinical outcome will therefore mainly depend on attaining more durable remissions in those responders who suffer an early relapse. In general, progression of disease within 24 months after intensive chemoimmunotherapy is regarded as unsatisfactory[2] and might be associated with a shortened overall survival (OS).[3] We therefore conducted this analysis to identify patients at high risk of early progression after FCR chemoimmunotherapy. The construction of a risk predictor for early relapse utilized the comprehensive set of molecular, genetic, clinical and minimal residual disease (MRD) data that were assessed within the CLL8 trial. This large randomized phase 3 study of the German CLL study group had compared FCR with fludarabine/cyclophosphamide (FC) treatment. Risk features were prospectively determined in CLL8 as described before.[1, 4, 5] In addition, TP53 mutations in exons 2–11 were analyzed by a resequencing chip with confirmatory Sanger sequencing. Risk features in the FCR arm of the CLL8 trial were distributed as expected for a cohort of fit patients requiring first-line treatment (Table 1). MRD quantification was scheduled only for German and Austrian patients per CLL8 protocol. Mainly because of lacking MRD assessments, the patients with sufficient data for risk classification (n=139) were a sub-population of the intention-to-treat (n=408) cohort. However, with the exception of a marginally higher frequency of an unmutated IGHV gene in former cohort (P=0.02), both patient groups did not differ significantly in any of the 14 baseline features assessed. Compared with previous publications of CLL8 results,[1, 4] data were analyzed for this investigation at a more mature median follow-up of 70 months and after 550 patients in the intention-to-treat population (n=817) had progressed or died. Fisher's exact and log-rank tests, respectively, were used to compare proportions of patients and time-dependent variables between patient cohorts. The two sided significance level was set at 0.05. The construction of the risk score additionally utilized published data on the prognostic significance of TP53 aberrations from other trials.[6, 7, 8, 9]
Table 1

Patient's characteristics and univariate association with PFS

 ITT population (n=408)Analysis set (n=139)Median PFS (months)Hazard rate (95% CI)P-value
Age⩾65 years31% (126/408)29% (40/139)55.21.12 (0.86–1.46)0.41
Male74% (303/408)78% (109/139)54.21.51 (1.12–2.04)0.007
ECOG 1/244% (174/395)47% (62/132)49.31.24 (0.97–1.60)0.09
B-symptoms41% (167/407)35% (49/139)56.00.92 (0.71–1.20)0.52
Binet C31% (126/407)32%(44/139)42.61.27 (0.97–1.65)0.08
IGHV unmutated64% (197/310)71% (95/134)41.82.67 (1.92–3.72)<0.001
Deletion (13q)a34% (105/311)34% (44/131)77.50.50 (036–0.70)<0.001
Deletion (11q)a26% (80/311)31% (41/131)46.71.68 (1.25–2.26)0.001
Trisomy 12a8% (24/311)8% (10/131)72.40.59 (0.34–1.01)0.051
Deletion (17p)a7% (22/311)5% (7/131)11.33.91 (2.39–6.40)<0.001
TP53 mutation10% (31/313)8% (11/133)15.43.17 (2.09–4.82)<0.001
Deletion (17p) and/or TP53 mutation11% (34/305)8% (11/133)15.43.32 (2.21–4.99)<0.001
s-β2m⩾3.5 mg/l33%(106/318)30% (40/134)43.31.50 (1.13–2.00)0.005
s-TK⩾10 U/l73% (232/318)78% (105/134)51.91.70 (1.21–2.39)0.002
MRD level⩾10−4 to<10−224% (35/143)22% (31/139)38.42.8 (1.8–4.6)b<0.001
MRD level ⩾10−213% (18/143)13% (18/139)11.720.0 (10.4–38.6)b<0.001
iwCLL CR44% (180/408)49% (68/139)69.30.54 (0.42–0.70)<0.001

Abbreviations: CI, confidence interval; CLL, chronic lymphocytic leukemia; CR, complete remission; ECOG, Eastern Cooperative Oncology Group; FCR, fludarabine, cyclophosphamide, and rituximab; ITT, intention-to-treat; MRD, minimal residual disease; PFS, progression free survival; s-β2m, β2-microglobulin; s-TK, serum levels of thymidine kinase.

Baseline characteristics and risks features of the CLL8 trial patients who received FCR are given for all patients in the intention-to-treat (ITT) population and in the subgroup of patients with sufficient data for risk classification according to the algorithm. Median PFS, hazard rates and significance of the association to PFS in univariate analysis are tabulated per risk feature. Hazard rates are computed in comparison with all other patients with available data on a particular risk feature, unless otherwise stated. MRD data are assessed in peripheral blood, 2 months after completion of therapy.

Chromosomal aberrations were assessed according to the Döhner hierarchical model.[15]

Compared with MRD levels<10−4 (MRD negativity according to iwCLL definition[10]).

In univariate analyses (Table 1), both high (⩾10−2) and intermediate (<10−2 but ⩾10−4) MRD levels, failure to achieve a complete remission according to iwCLL guidelines,[10] TP53 abnormalities (that is, TP53 mutations and/or deletions), absence of chromosomal deletion 13q, presence of deletion 11q, unmutated IGHV genes, elevated serum levels of thymidine kinase (s-TK) and β2-microglobulin (s-β2m), as well as male gender, were all significantly associated with shorter progression free survival (PFS) after FCR. Cox proportional hazard models were fitted in order to assess the independent prognostic significance of those covariates. After stepwise forward selection using data from 121 patients with information on all risk feature available, both high (hazard rate (HR) 29.8, P<0.001) and intermediate MRD levels (HR 3.4, P<0.001), an unmutated IGHV gene (HR 2.5, P=0.001) and male gender (HR 1.8, P=0.045) remained significantly associated with short PFS. We decided to base the novel risk predictor on MRD being the variable most closely associated with short PFS in multivariate analysis. High MRD levels as such described poor risk patients with a median PFS of 11.7 months only, comprising ∼13% of all patients. Patients with intermediate MRD levels (22% of all patients) progressed after a median of 38 months, thus including patients with both satisfactory and unsatisfactory outcome. We hypothesized that covariates which besides MRD levels independently predicted PFS in multivariate models (IGHV status, gender) might be able to subdivide this heterogeneous patient group. Patients with unmutated IGHV who attained intermediate MRD levels after FCR experienced a median PFS of 32 months compared with 45 months in patients with mutated IGHV gene (Figure 1a, HR 3.2, P=0.02). In contrast, gender was less potent to predict PFS in intermediate MRD level patients (Figure 1b, median PFS, 37 vs 44 months, HR 0.6, P=0.30). In summary, based on our data from the CLL8 trial, a short PFS after FCR can be expected in patients who either present with high MRD levels (⩾10−2) after therapy, or in those who attain intermediate MRD levels (< 10−2 but ⩾10−4) and carry an unmutated IGHV gene.
Figure 1

Combination of individual risk features to predict PFS and OS after FCR treatment. MRD levels are grouped as high (red curves, ⩾10−2), intermediate (blue curves, ⩾10−4 to<10−2) and low (green curves, <10−4) in (a, b). Patients classified as high and low risk by the algorithm are symbolized using green and blue curves, respectively, in (c, d). (a) PFS by MRD levels and IGHV status (n=135). For patients who attained intermediate MRD levels, a mutated IGHV (solid lines) was associated with longer PFS compared with patients with unmutated IGHV (dashed lines) status (HR 3.2, P=0.02, n=32). IGHV had a lesser impact on PFS in high-level MRD (HR 1.6, P=0.56, n=17) and low-level MRD patients (HR 1.9, P=0.046, n=86). (b) PFS by MRD levels in female (solid curves) and male (dashed curves) patients (total n=143), showing a marginally, but not significantly better outcome in women who achieved intermediate (n=35, HR 0.62 P=0.30,) and low-level MRD (n=90, HR 0.69, P=0.29), while no difference at all was detectable in high-level MRD patients (n=18, HR 1.2, P=0.8). (c) PFS in patients classified as high and low risk by the algorithm (HR 6.6, P<0.001). (d) OS in patients classified as high and low risk by the algorithm (HR 4.4, P<0.001).

TP53 abnormalities were besides high MRD levels, the risk features most strongly associated with poor outcome (median PFS 15 months) in univariate analysis (Table 1), warranting detailed analyses of this variable. There was a considerable but incomplete overlap between those two disadvantaged patient groups. Six out of the total 11 patients with TP53 abnormalities had high MRD levels of ⩾10−2 (median PFS 11 months, Supplementary Figure 2a), whereas three patients achieved intermediate MRD levels (median PFS 30 months). Two patients with either a TP53 mutation or deletion achieved an MRD-negative response (MRD levels<10−4). Thereof, one patient progressed after 54 months and the second one was censored at 69 months without progression. Patients who presented with intermediate MRD and carried a TP53 aberration showed a trend for shorter median PFS compared with patients without TP53 aberrations who achieved the same MRD levels (30 vs 40 months, P=0.42, Supplementary Figure 2a). The lack of significance likely reflects low patient numbers. These observations suggested that the risk of progression in patients with TP53 abnormalities differs by MRD status and that TP53 status might impact on median PFS in patients with intermediate MRD levels. The prognostic significance of MRD within the subgroup of patients with TP53 aberrations was recently also reported by the UK CLL206 investigators.[6] Nevertheless, compared with published data on patients without TP53 aberrations,[7] even MRD-negative patients with this genetic lesion experienced a relatively short PFS in that trial. This suggests that both TP53 aberrations and MRD response independently predict for PFS in CLL. All patients with a TP53 aberration in our analysis of CLL8 data carried an unmutated IGHV gene. However, previous reports had shown that ∼ 25% of all patients with TP53 aberrations expressed mutated IGHV genes.[7, 8, 9] The substantial proportion of patients carrying either one of the two risk features only, the well-reported adverse impact of TP53 aberrations, and the already existing iwCLL recommendation to assess this lesion before therapy motivated us to incorporate that feature into the risk score. In summary, we characterized patients at high risk for early progression as presenting with high MRD levels after therapy or attaining intermediate MRD levels plus carrying at least one of the adverse prognostic markers TP53 aberrations or unmutated IGHV status. Low risk for early progression was predicted by low MRD levels (<10−4) irrespective of any additional feature or intermediate MRD levels in patients who carried neither unmutated IGHV genes nor a TP53 aberration. Median PFS of the high-risk cohort that comprised ∼29% of all patients was 22 months compared with 68 months for low-risk patients (HR 6.6, P<0.0001, Figure 1c). High-risk patients had a median OS of 64 months only, whereas median OS was not reached in the low-risk group (HR 4.4, P<0.0001, Figure 1d). We next investigated the reliability of the proposed algorithm applying it to patients treated in the FC arm of the CLL8 trial (Supplementary Table 1). High-risk patients after FC achieved a median PFS of 29 months compared with 64 months for the low-risk patients (HR 4.21 95% CI 2.75–6.45; P<0.001, Supplementary Figure 1c) and an OS of 77 vs 90 months (HR 2.20 95% CI 1.20–4.03; P=0.01, Supplementary Figure 1d). These results suggest that the algorithm identifies poor risk patients not only after FCR, but similarly after FC treatment. Moreover, in an independent multivariate analysis (n=115), MRD again appeared as highly associated with PFS (high MRD levels, HR 18.8, P<0.005; intermediate MRD levels, HR 2.2, P=0.005). Additional prognostic markers with independent impact on PFS were IGHV status (HR 1.8, P=0.02) and TP53 aberrations (HR 2.9; P=0.002), thus corroborating the choice of variables for the risk predictor. While prognostic indices for time to first treatment and OS[11, 12] have been proposed before, only limited information exists to predict PFS after treatment. To the best of our knowledge, there is only one previous analysis from a randomized trial that established a multivariable predictor for the likelihood of progression after treatment.[13] The poor risk category of that model was confined to patients with a TP53 deletion (6% of all patients), whereas the poor risk group identified by our MRD based model comprises a substantially larger patient group (29% of all patients). Allogeneic stem cell transplantation remains the treatment of choice for the minority of eligible ultra-high-risk patients who carry a TP53 aberration.[14] The majority of high-risk patients identified by the novel algorithm, however, does not carry a TP53 aberration or might be ineligible for transplantation. We consider such patients at high risk of early progression ideal candidates for clinical trials testing the efficacy of novel maintenance strategies in this disadvantaged patient group.
  15 in total

1.  Prognostic factors identified three risk groups in the LRF CLL4 trial, independent of treatment allocation.

Authors:  David Oscier; Rachel Wade; Zadie Davis; Alison Morilla; Giles Best; Sue Richards; Monica Else; Estella Matutes; Daniel Catovsky
Journal:  Haematologica       Date:  2010-05-29       Impact factor: 9.941

2.  Addition of rituximab to fludarabine and cyclophosphamide in patients with chronic lymphocytic leukaemia: a randomised, open-label, phase 3 trial.

Authors:  M Hallek; K Fischer; G Fingerle-Rowson; A M Fink; R Busch; J Mayer; M Hensel; G Hopfinger; G Hess; U von Grünhagen; M Bergmann; J Catalano; P L Zinzani; F Caligaris-Cappio; J F Seymour; A Berrebi; U Jäger; B Cazin; M Trneny; A Westermann; C M Wendtner; B F Eichhorst; P Staib; A Bühler; D Winkler; T Zenz; S Böttcher; M Ritgen; M Mendila; M Kneba; H Döhner; S Stilgenbauer
Journal:  Lancet       Date:  2010-10-02       Impact factor: 79.321

3.  Genomic aberrations and survival in chronic lymphocytic leukemia.

Authors:  H Döhner; S Stilgenbauer; A Benner; E Leupolt; A Kröber; L Bullinger; K Döhner; M Bentz; P Lichter
Journal:  N Engl J Med       Date:  2000-12-28       Impact factor: 91.245

4.  Alemtuzumab in combination with methylprednisolone is a highly effective induction regimen for patients with chronic lymphocytic leukemia and deletion of TP53: final results of the national cancer research institute CLL206 trial.

Authors:  Andrew R Pettitt; Richard Jackson; Stacey Carruthers; James Dodd; Susanna Dodd; Melanie Oates; Gillian G Johnson; Anna Schuh; Estella Matutes; Claire E Dearden; Daniel Catovsky; John A Radford; Adrian Bloor; George A Follows; Stephen Devereux; Anton Kruger; Julie Blundell; Samir Agrawal; David Allsup; Stephen Proctor; Earnest Heartin; David Oscier; Terry J Hamblin; Andrew Rawstron; Peter Hillmen
Journal:  J Clin Oncol       Date:  2012-04-09       Impact factor: 44.544

5.  TP53 mutation and survival in chronic lymphocytic leukemia.

Authors:  Thorsten Zenz; Barbara Eichhorst; Raymonde Busch; Tina Denzel; Sonja Häbe; Dirk Winkler; Andreas Bühler; Jennifer Edelmann; Manuela Bergmann; Georg Hopfinger; Manfred Hensel; Michael Hallek; Hartmut Döhner; Stephan Stilgenbauer
Journal:  J Clin Oncol       Date:  2010-08-09       Impact factor: 44.544

6.  Validation of a new prognostic index for patients with chronic lymphocytic leukemia.

Authors:  Tait D Shanafelt; Greg Jenkins; Timothy G Call; Clive S Zent; Susan Slager; Deborah A Bowen; Susan Schwager; Curtis A Hanson; Diane F Jelinek; Neil E Kay
Journal:  Cancer       Date:  2009-01-15       Impact factor: 6.860

7.  Guidelines for the diagnosis and treatment of chronic lymphocytic leukemia: a report from the International Workshop on Chronic Lymphocytic Leukemia updating the National Cancer Institute-Working Group 1996 guidelines.

Authors:  Michael Hallek; Bruce D Cheson; Daniel Catovsky; Federico Caligaris-Cappio; Guillaume Dighiero; Hartmut Döhner; Peter Hillmen; Michael J Keating; Emili Montserrat; Kanti R Rai; Thomas J Kipps
Journal:  Blood       Date:  2008-01-23       Impact factor: 22.113

8.  Characteristics associated with important clinical end points in patients with chronic lymphocytic leukemia at initial treatment.

Authors:  William G Wierda; Susan O'Brien; Xuemei Wang; Stefan Faderl; Alessandra Ferrajoli; Kim-Anh Do; Guillermo Garcia-Manero; Jorge Cortes; Deborah Thomas; Charles Koller; Jan Burger; Susan Lerner; Hagop Kantarjian; Michael Keating
Journal:  J Clin Oncol       Date:  2009-02-17       Impact factor: 44.544

9.  Standardized MRD flow and ASO IGH RQ-PCR for MRD quantification in CLL patients after rituximab-containing immunochemotherapy: a comparative analysis.

Authors:  S Böttcher; S Stilgenbauer; R Busch; M Brüggemann; T Raff; C Pott; K Fischer; G Fingerle-Rowson; H Döhner; M Hallek; M Kneba; M Ritgen
Journal:  Leukemia       Date:  2009-07-30       Impact factor: 11.528

10.  The detection of TP53 mutations in chronic lymphocytic leukemia independently predicts rapid disease progression and is highly correlated with a complex aberrant karyotype.

Authors:  F Dicker; H Herholz; S Schnittger; A Nakao; N Patten; L Wu; W Kern; T Haferlach; C Haferlach
Journal:  Leukemia       Date:  2008-10-09       Impact factor: 11.528

View more
  10 in total

1.  Molecular prediction of durable remission after first-line fludarabine-cyclophosphamide-rituximab in chronic lymphocytic leukemia.

Authors:  Davide Rossi; Lodovico Terzi-di-Bergamo; Lorenzo De Paoli; Michaela Cerri; Guido Ghilardi; Annalisa Chiarenza; Pietro Bulian; Carlo Visco; Francesca R Mauro; Fortunato Morabito; Agostino Cortelezzi; Francesco Zaja; Francesco Forconi; Luca Laurenti; Ilaria Del Giudice; Massimo Gentile; Iolanda Vincelli; Marina Motta; Marta Coscia; Gian Matteo Rigolin; Alessandra Tedeschi; Antonino Neri; Roberto Marasca; Omar Perbellini; Carol Moreno; Giovanni Del Poeta; Massimo Massaia; Pier Luigi Zinzani; Marco Montillo; Antonio Cuneo; Valter Gattei; Robin Foà; Gianluca Gaidano
Journal:  Blood       Date:  2015-08-14       Impact factor: 22.113

Review 2.  Transplantation in chronic lymphocytic leukemia: does it still matter in the era of novel targeted therapies?

Authors:  Fabienne McClanahan; John Gribben
Journal:  Hematol Oncol Clin North Am       Date:  2014-09-26       Impact factor: 3.722

Review 3.  The role of combined fludarabine, cyclophosphamide and rituximab chemoimmunotherapy in chronic lymphocytic leukemia: current evidence and controversies.

Authors:  Alan P Skarbnik; Stefan Faderl
Journal:  Ther Adv Hematol       Date:  2016-12-01

Review 4.  Three newly approved drugs for chronic lymphocytic leukemia: incorporating ibrutinib, idelalisib, and obinutuzumab into clinical practice.

Authors:  David S Sanford; William G Wierda; Jan A Burger; Michael J Keating; Susan M O'Brien
Journal:  Clin Lymphoma Myeloma Leuk       Date:  2015-02-19

5.  Dynamic Risk Profiling Using Serial Tumor Biomarkers for Personalized Outcome Prediction.

Authors:  David M Kurtz; Mohammad S Esfahani; Florian Scherer; Joanne Soo; Michael C Jin; Chih Long Liu; Aaron M Newman; Ulrich Dührsen; Andreas Hüttmann; Olivier Casasnovas; Jason R Westin; Matthais Ritgen; Sebastian Böttcher; Anton W Langerak; Mark Roschewski; Wyndham H Wilson; Gianluca Gaidano; Davide Rossi; Jasmin Bahlo; Michael Hallek; Robert Tibshirani; Maximilian Diehn; Ash A Alizadeh
Journal:  Cell       Date:  2019-07-04       Impact factor: 41.582

6.  Modern treatment in chronic lymphocytic leukemia: impact on survival and efficacy in high-risk subgroups.

Authors:  Antonio Cuneo; Francesco Cavazzini; Maria Ciccone; Giulia Daghia; Olga Sofritti; Elena Saccenti; Massimo Negrini; Gian Matteo Rigolin
Journal:  Cancer Med       Date:  2014-03-19       Impact factor: 4.452

7.  Fludarabine and rituximab with escalating doses of lenalidomide followed by lenalidomide/rituximab maintenance in previously untreated chronic lymphocytic leukaemia (CLL): the REVLIRIT CLL-5 AGMT phase I/II study.

Authors:  Alexander Egle; Michael Steurer; Thomas Melchardt; Lukas Weiss; Franz Josef Gassner; Nadja Zaborsky; Roland Geisberger; Kemal Catakovic; Tanja Nicole Hartmann; Lisa Pleyer; Daniela Voskova; Josef Thaler; Alois Lang; Michael Girschikofsky; Andreas Petzer; Richard Greil
Journal:  Ann Hematol       Date:  2018-06-04       Impact factor: 3.673

8.  Combined analysis of IGHV mutations, telomere length and CD49d identifies long-term progression-free survivors in TP53 wild-type CLL treated with FCR-based therapies.

Authors:  Andrea G S Pepper; Antonella Zucchetto; Kevin Norris; Erika Tissino; Jerry Polesel; Zarni Soe; David Allsup; Anna Hockaday; Pei Loo Ow; Peter Hillmen; Andrew Rawstron; Daniel Catovsky; Pietro Bulian; Riccardo Bomben; Duncan M Baird; Christopher D Fegan; Valter Gattei; Chris Pepper
Journal:  Leukemia       Date:  2021-06-19       Impact factor: 11.528

Review 9.  Treatment Approaches to Chronic Lymphocytic Leukemia With High-Risk Molecular Features.

Authors:  Lina van der Straten; Paul J Hengeveld; Arnon P Kater; Anton W Langerak; Mark-David Levin
Journal:  Front Oncol       Date:  2021-12-09       Impact factor: 6.244

10.  Unmutated IGHV1-69 CLL Clone Displays a Distinct Gene Expression Profile by a Comparative qRT-PCR Assay.

Authors:  Selena Mimmi; Domenico Maisano; Vincenzo Dattilo; Massimo Gentile; Federico Chiurazzi; Alessandro D'Ambrosio; Annamaria Zimbo; Nancy Nisticò; Annamaria Aloisio; Eleonora Vecchio; Giuseppe Fiume; Enrico Iaccino; Ileana Quinto
Journal:  Biomedicines       Date:  2022-03-04
  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.