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. 2013 Jul 9;27(9):1949–1952. doi: 10.1038/leu.2013.190

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

A M Fink 1,14,*, S Böttcher 2,14, M Ritgen 2, K Fischer 1, N Pflug 1, B Eichhorst 1, C-M Wendtner 1,3, D Winkler 4, A Bühler 4, T Zenz 4,5,6, P Staib 7, J Mayer 8, M Hensel 5,6,9, G Hopfinger 10,11, M Wenger 12, G Fingerle-Rowson 1,12, H Döhner 4, M Kneba 2, S Stilgenbauer 4, R Busch 13, M Hallek 1
PMCID: PMC3768112  PMID: 23787395

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 unsatisfactory2 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 years 31% (126/408) 29% (40/139) 55.2 1.12 (0.86–1.46) 0.41
Male 74% (303/408) 78% (109/139) 54.2 1.51 (1.12–2.04) 0.007
ECOG 1/2 44% (174/395) 47% (62/132) 49.3 1.24 (0.97–1.60) 0.09
B-symptoms 41% (167/407) 35% (49/139) 56.0 0.92 (0.71–1.20) 0.52
Binet C 31% (126/407) 32%(44/139) 42.6 1.27 (0.97–1.65) 0.08
IGHV unmutated 64% (197/310) 71% (95/134) 41.8 2.67 (1.92–3.72) <0.001
Deletion (13q)a 34% (105/311) 34% (44/131) 77.5 0.50 (036–0.70) <0.001
Deletion (11q)a 26% (80/311) 31% (41/131) 46.7 1.68 (1.25–2.26) 0.001
Trisomy 12a 8% (24/311) 8% (10/131) 72.4 0.59 (0.34–1.01) 0.051
Deletion (17p)a 7% (22/311) 5% (7/131) 11.3 3.91 (2.39–6.40) <0.001
TP53 mutation 10% (31/313) 8% (11/133) 15.4 3.17 (2.09–4.82) <0.001
Deletion (17p) and/or TP53 mutation 11% (34/305) 8% (11/133) 15.4 3.32 (2.21–4.99) <0.001
s-β2m⩾3.5 mg/l 33%(106/318) 30% (40/134) 43.3 1.50 (1.13–2.00) 0.005
s-TK⩾10 U/l 73% (232/318) 78% (105/134) 51.9 1.70 (1.21–2.39) 0.002
MRD level⩾10−4 to<10−2 24% (35/143) 22% (31/139) 38.4 2.8 (1.8–4.6)b <0.001
MRD level ⩾10−2 13% (18/143) 13% (18/139) 11.7 20.0 (10.4–38.6)b <0.001
iwCLL CR 44% (180/408) 49% (68/139) 69.3 0.54 (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.

a

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

b

Compared with MRD levels<10−4 (MRD negativity according to iwCLL definition10).

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.

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 OS11, 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.

Acknowledgments

We are grateful to the patients who participated in the CLL8 trial and the physicians who treated them. We also thank Myriam Mendila, Stephan Zurfluh and Jamie Wingate for their excellent support during the conduct of this trial. We wish to thank Elke Harbst, Jamileh Hanani, Maike Starken, Lada Henseleit and Linda Falck for excellent technical assistance, as well as Anne Westermann for data handling. This work was supported by German Jose Carreras Leukemia Foundation (project R 06/03v).

Employment or leadership in F. Hoffmann-La Roche: MW, GFR; Consultant or advisory role in F. Hoffmann-La Roche: SS, CW, MK, MH; Stock Ownership in F. Hoffmann-La Roche: MW; Honoraria from F. Hoffmann-La Roche: SB, SS, TZ, DW, AB, BE, CW, PS, GH, MK, MH; Research funding from Hoffmann-La Roche: SB, MR, SS, CW, BE, MK, MH; Other remuneration (travel grants) from F. Hoffmann-La Roche: AMF, KF, PS, ; RB, DW, MHe and NP declare no conflict of interest.

Footnotes

Supplementary Information accompanies this paper on the Leukemia website (http://www.nature.com/leu)

Preliminary results were presented in part at the Annual meeting of the American Society of Hematology, San Diego, CA, USA, December 8–13, 2011.

Supplementary Material

Supplementary Information

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