Literature DB >> 26457986

The long-term outcome of patients in the LRF CLL4 trial: the effect of salvage treatment and biological markers in those surviving 10 years.

Monica Else1, Rachel Wade2, David Oscier3, Daniel Catovsky1.   

Abstract

With 10+ years follow-up in the Leukaemia Research Fund (LRF) CLL4 trial, we report the effect of salvage therapy, and the clinical/biological features of the 10-year survivors treated for chronic lymphocytic leukaemia (CLL). Overall survival (OS) was similar in the three randomized arms. With fludarabine-plus-cyclophosphamide (FC), progression-free survival (PFS) was significantly longer (P < 0.0001), but OS after progression significantly shorter, than in the chlorambucil or fludarabine arms (P < 0.0001). 614/777 patients progressed; 524 received second-line and 260 third-line therapy, with significantly better complete remission (CR) rates compared to first-line in the chlorambucil arm (7% vs. 13% after second-, 18% after third-line), but worse in the FC arm (38% vs. 15% after both second and third-line). OS 10 years after progression was better after a second-line CR versus a partial response (36% vs. 16%) and better with FC-based second-line therapy (including rituximab in 20%) or a stem cell transplant (28%) versus all other treatments (10%, P < 0.0001). The 176 (24%) 10-year survivors tended to be aged <70 years, with a "good risk" prognostic profile, stage A-progressive, achieving at least one CR, with a first-line PFS >3 years and receiving ≤2 lines of treatment. In conclusion, clinical/biological features and salvage treatments both influence the long-term outcome. Second-line therapies that induce a CR can improve OS in CLL patients.
© 2015 The Authors. British Journal of Haematology published by John Wiley & Sons Ltd.

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Keywords:  Chronic lymphocytic leukaemia, CLL; clinical trials; prognostic factors; salvage therapy; survival

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Year:  2015        PMID: 26457986      PMCID: PMC4832371          DOI: 10.1111/bjh.13824

Source DB:  PubMed          Journal:  Br J Haematol        ISSN: 0007-1048            Impact factor:   6.998


Long survival in patients with chronic lymphocytic leukaemia (CLL) who require treatment depends on a variety of factors, which include age, the absence of co‐morbidities, disease biology and the efficacy and toxicity of both initial and subsequent therapies. Over the last decade, clinical trials of first‐line therapy have demonstrated improved response rates and longer progression‐free survival (PFS) with the chemotherapy combination fludarabine plus cyclophosphamide (FC), and further improvements in response rates and PFS, as well as longer overall survival (OS), with the addition of rituximab to this combination (FCR) (Keating et al, 2005; Hallek et al, 2010; Böttcher et al, 2012). The most recent trials present the prospect of still better outcomes with the introduction of new effective treatments, including antibodies, BCL2 antagonists and BCR kinase inhibitors, given both in untreated and pre‐treated patients (Souers et al, 2013; Byrd et al, 2014; Furman et al, 2014; Goede et al, 2014). Despite the excitement generated by novel therapies, the longer‐term follow‐up available from the earlier chemotherapy and chemo‐immunotherapy trials provides an opportunity to explore the contribution of salvage therapies to long‐term outcomes. Few such studies have been published. Woyach et al (2011) reported on 104 patients randomly assigned to receive fludarabine with rituximab, either concurrently or sequentially, with a median follow‐up of 10 years (range 5½–11 years). Tam et al (2014) reported on 300 patients treated initially with FCR, with a median follow‐up of 12 years (range 6–14 years). The Leukaemia Research Fund (LRF) CLL4 trial randomized 777 patients to receive chlorambucil or fludarabine alone, or the combination FC, and showed no OS advantage for any of these first‐line treatments, even though a significantly better response rate and longer PFS were seen after FC (Catovsky et al, 2007). The trial now has more than 10 years follow‐up on all surviving patients (median 12 years, range 10–16 years) and, to our knowledge, this report is the largest and the longest‐term so far published from a randomized trial. It includes an analysis of how second‐ and third‐line treatments might have contributed to the similarity of the survival curves across the three randomized treatment arms. Moreover, while the baseline prognostic factors for patients with CLL have been well studied and documented in this trial (Oscier et al, 2010, 2013; Gonzalez et al, 2011, 2013), the biological and treatment factors associated with patients who survive 10 years or more have not been previously reported. We include here 176 such patients with baseline biological, cytogenetic and molecular data and documented treatment histories, allowing us to consider the characteristics of these long‐term survivors.

Patients and methods

In the LRF CLL4 trial, 777 patients were randomized between February 1999 and October 2004 to receive chlorambucil, fludarabine or FC. The patients were previously untreated, 191 (25%) having Binet stage A‐progressive disease, 352 (45%) stage B and 234 (30%) stage C. The male:female ratio was 3:1 and the median age was 65 years (range 35–86 years). Biological, cytogenetic and molecular markers were available and have been reported elsewhere, together with a description of the cut‐offs used to define positivity (Oscier et al, 2010, 2013). These markers were available at randomization only, not at relapse. Risk groups, which were evenly distributed across the three randomised arms, were initially identified as follows: poor risk – known TP53 deletion >10% (17p del by FISH); intermediate risk – without TP53 deletion (≤10%) and with at least one of: unmutated IGHV genes and/or IGHV3‐21 usage, 11q deletion, β‐2 microglobulin ≥4 mg/l; good risk – none of the above and mutated IGHV genes (Oscier et al, 2010). Since then, several newer prognostic markers have been investigated in this trial: TP53, SF3B1 and NOTCH1 mutations, and CLLU1 expression (Gonzalez et al, 2011, 2013; Oscier et al, 2013). After disease progression, a minority of trial patients (n = 84) were randomized to receive the results of an in‐vitro assay measuring drug resistance, which could be used by the treating physician to guide the choice of second‐line treatment. The results of this randomization have been previously reported (Matutes et al, 2013), but here we describe only the treatment given. All other second‐line and all third‐line and subsequent treatments were given according to the treating physician's choice. Clinical follow‐up, documenting patients' first, second and third‐line treatment history was to 31 October 2010. Follow‐up for OS only was to January 2015 for UK patients (median 11·8 years; range 10·2–15·9 years). The deaths of LRF CLL4 trial patients still resident in the UK were flagged and reported to the Clinical Trial Service Unit at Oxford. For 44 surviving patients resident outside the UK, OS was censored at 31 October 2010, the date these patients were last known to be alive. Thus for 733 patients survival data were available for a minimum of 10·2 years, allowing us to analyse the characteristics of the 10‐year survivors. Survival was estimated by the Kaplan‐Meier method and compared using the log‐rank test. OS was calculated from randomization to death from any cause. OS after progression was calculated from the date of documented disease progression after first‐line treatment to death from any cause. PFS was time from randomization to relapse needing further treatment, progression or death from any cause. For non‐response (NR) and progressive disease (PD), date of progression was when NR/PD was recorded. Second‐line PFS was calculated from the start of second‐line treatment. We calculated odds ratios (ORs) and 95% confidence intervals (CIs) as exp[(O−E)/Var ± 1·96/√Var], in which O is the observed events, E is the expected events, and Var is the variance. A plot of OS after progression by second‐line treatments was drawn to show the relative effect of these treatments within subgroups defined by randomized arm. Within each subgroup, the observed minus expected (O–E) number of events and its variance (Var) are given. Multivariate analyses were performed by means of stepwise generalized linear modelling. Values of P ≤ 0·05 (two sided) were considered significant. Analyses were performed using the STATISTICA software from StatSoft, a subsidiary of Dell Inc. (Bracknell, UK). The LRF CLL4 trial was registered (ISRCTN58585610) and approved by a UK multicentre research ethics committee. All patients provided written informed consent. The main trial endpoints have been previously reported (Catovsky et al, 2007).

Results

The patients' journey from first‐line randomization to the final follow‐up

At the last clinical follow‐up in 2010, at a median of 7·1 years since randomization (range 6·0–11·7 years), 4 patients were lost to follow‐up, while 56 (7%) remained in their first complete or partial remission (CR/PR) (Fig 1). The proportion of patients who remained in first remission was more than twice as high in the FC arm compared to the other two arms: FC 13% vs. chlorambucil 5% {odds ratio [OR] 2·86 (95% CI: 1·53–5·33), P = 0·001} or versus fludarabine 6% [OR 2·23 (1·09–4·58), P = 0·03] and higher in patients in CR (19%) than in PR (5%; P < 0·0001). The proportion of good, intermediate and poor risk (TP53‐deleted) patients remaining in remission was 17%, 3% and 0% respectively. No patients with SF3B1 or TP53 mutations remained in remission.
Figure 1

Treatment history of patients in the Leukaemia Research Fund (LRF) chronic lymphocytic leukaemia (CLL)4 trial. Consort diagram showing the treatment history of the 777 trial patients, from randomization until latest follow‐up (censored at 31 October 2010). CR, complete remission; PR, partial remission. *This number included 19% (n = 23) of all the trial patients who obtained a CR and 7% (n = 33) of those with a PR, including nodular PR.

Treatment history of patients in the Leukaemia Research Fund (LRF) chronic lymphocytic leukaemia (CLL)4 trial. Consort diagram showing the treatment history of the 777 trial patients, from randomization until latest follow‐up (censored at 31 October 2010). CR, complete remission; PR, partial remission. *This number included 19% (n = 23) of all the trial patients who obtained a CR and 7% (n = 33) of those with a PR, including nodular PR. There were 103 deaths (13%), without documented disease progression (Fig 1). The remaining 614 patients (79%) progressed, of whom 524 (67%) received a second line of treatment. While nearly three‐quarters of patients in the chlorambucil and fludarabine arms received second‐line treatment, only half of the patients in the FC arm did so. After further disease progression, 260 patients (33%) received one or more subsequent lines of treatment. Third‐line treatments were more frequently given to patients in the chlorambucil arm than in the fludarabine and FC arms. By January 2015, 596 deaths had been reported (81% of assessable patients). The proportion of deaths due to Richter syndrome was similar across the three randomized trial arms (5% both chlorambucil and fludarabine, 6% FC; P = 0·9). The primary cause of death, assessable in 580 patients, was recorded as being other than CLL or infection (mainly other cancers and cardiovascular) in 22% of deaths in the chlorambucil arm, 18% fludarabine and 25% FC (P = 0·4). At 10 years, OS from randomization was similar in all three randomized arms: 27% (95% CI: 22–31%) with chlorambucil, 27% (20–33%) with fludarabine and 25% (19–32%) with FC (Fig 2A). This was despite the significantly longer PFS with FC (median 40 months) versus chlorambucil {median 20 months; hazard ratio [HR] 0·53 (95% CI: 0·44–0·63), P < 0·0001} and versus fludarabine [median 24 months, HR 0·61 (0·50–0·76), P < 0·0001; Fig 2B]. In contrast, for the 614 patients whose disease progressed, OS after progression was correspondingly longer in both the chlorambucil arm [median 49 months, HR 0·56 (0·44–0·70), P < 0·0001] and the fludarabine arm [median 51 months, HR 0·57 (0·44–0·75), P = 0·0003], compared to FC (median 26 months; Fig 2C). At 10 years after progression, OS was 6% (0–13%) in the FC arm, 17% (12–21%) in the chlorambucil arm and 21% (14–28%) in the fludarabine arm (Fig 2C). When we analysed OS after progression in the non‐responders to first‐line treatment, the 11 patients who were non‐responsive to FC were mostly in the poor risk (TP53‐deleted) group and did particularly badly (Fig 2D).
Figure 2

Survival by first‐line randomized treatment. (A) Overall survival (OS) from randomization (n = 777). (B) 5‐year progression‐free survival from randomization (n = 777). (C) OS after progression in the 614 patients whose disease progressed. (D) OS after progression in non‐responders to first‐line treatment. Of the 109 non‐responders assessable for risk group, the following proportions were poor risk (‐deleted): chlorambucil 15%; fludarabine 17%; FC 67%. Chl, chlorambucil; Flu, fludarabine; FC, fludarabine with cyclophosphamide.

Survival by first‐line randomized treatment. (A) Overall survival (OS) from randomization (n = 777). (B) 5‐year progression‐free survival from randomization (n = 777). (C) OS after progression in the 614 patients whose disease progressed. (D) OS after progression in non‐responders to first‐line treatment. Of the 109 non‐responders assessable for risk group, the following proportions were poor risk (‐deleted): chlorambucil 15%; fludarabine 17%; FC 67%. Chl, chlorambucil; Flu, fludarabine; FC, fludarabine with cyclophosphamide.

The results of second‐ and third‐line (salvage) treatments

Second‐line and third‐line treatments included fludarabine as a single agent, FC‐based combination treatments, stem cell transplants (including both autografts and allografts), alemtuzumab, alkylators (mostly chlorambucil) and anthracyclines (mostly in combination with other agents), steroids and other miscellaneous agents (Table 1). Details of these treatments are given in the footnote to Table 1. In the FC‐based combinations, rituximab was included in the combination for 28 patients (20%) at second line and 22 patients (31%) at third line. Stem cell transplants (SCT) were only given to patients aged <65 years at randomization (median 54 years). Alemtuzumab was given to 26% of poor risk (TP53‐deleted) patients, but to only 3–4% of patients in the other two risk groups.
Table 1

Second and third‐line treatment types and complete response rates

TreatmentSecond lineThird line
Patients n (%)Complete response rate, %Patients n (%)Complete response rate, %
Fludarabine as a single agent138 (26)10e 38 (15)4e
FC‐based combinationsa 141 (27)2171 (27)21
Stem cell transplantb 17 (3)447 (3)83
Alemtuzumab29 (6)3828 (11)53
Alkylator or anthracyclinec 157 (30)567 (26)8
Steroids & other agentsd 42 (8)349 (19)7
TOTAL524 (100)260 (100)

FC – fludarabine with cyclophosphamide. Combinations included: FC, FC with mitoxantrone (FCM), FC with rituximab (FCR), FCMR; FR (1 patient); pentostatin+C (1 patient).

Included a total of 8 autografts and 16 allografts, with similar response rates.

Alkylators – mainly chlorambucil; anthracyclines – mainly CHOP (cyclophosphamide, vincristine, doxorubicin and prednisolone).

Steroids: high dose methylprednisolone, dexamethasone, prednisolone; other agents included rituximab alone (6 patients), radiotherapy (5 patients), ofatumumab (2 patients), BCL‐2 inhibitors (2 patients).

All complete responses after fludarabine as a single agent were in the chlorambucil arm.

Second and third‐line treatment types and complete response rates FCfludarabine with cyclophosphamide. Combinations included: FC, FC with mitoxantrone (FCM), FC with rituximab (FCR), FCMR; FR (1 patient); pentostatin+C (1 patient). Included a total of 8 autografts and 16 allografts, with similar response rates. Alkylators – mainly chlorambucil; anthracyclines – mainly CHOP (cyclophosphamide, vincristine, doxorubicin and prednisolone). Steroids: high dose methylprednisolone, dexamethasone, prednisolone; other agents included rituximab alone (6 patients), radiotherapy (5 patients), ofatumumab (2 patients), BCL‐2 inhibitors (2 patients). All complete responses after fludarabine as a single agent were in the chlorambucil arm. The best CR rates, at both second and third line, were seen with SCT, including both autografts and allografts, and alemtuzumab (Table 1). FC‐based combinations had CR rates in the middle range. After fludarabine as a second or third‐line single agent, CRs were infrequent and occurred only in the chlorambucil arm. CR rates were also low in the groups including alkylators, anthracyclines, steroids and other agents and were broadly similar, whether the treatments were given at second or third line. In the chlorambucil and fludarabine arms, the two thirds of patients who received salvage treatment (Fig 1) benefitted from improved CR rates with salvage treatment compared to the first‐line CR rates with the randomized treatment (Table 2). In the chlorambucil arm this improvement was significant both at second‐line (P = 0·03) and third‐line (P = 0·0007). In the FC arm, when compared to the high response rates seen with first‐line FC, with salvage treatment the CR rates were lower at second line (P = 0·0006) and third line (P = 0·02).
Table 2

Complete response rates after each line of treatment by first‐line randomized arm

PatientsComplete response rate: first‐line (randomized) treatment, %Complete response rates after the salvage treatments given
Second‐line, %Third‐line, %
Chlorambucil arm71318
Fludarabine arm151721
FC arm381515

FC, fludarabine with cyclophosphamide.

Complete response rates after each line of treatment by first‐line randomized arm FC, fludarabine with cyclophosphamide. Good second‐line responses were associated with better second‐line PFS (not shown) and better OS after progression (Fig 3A). At 10 years after progression 36% (95% CI: 21–51%) of patients who obtained a CR after second‐line treatment were still alive, compared to 16% (11–22%) of those who had a PR and 6% (1–11%) of non‐responders; {CR vs. PR: HR 0·61 [0·42–0·88], P = 0·003; PR vs. NR/PD: HR 0·30 (0·20–0·44), P < 0·0001}.
Figure 3

Survival by second‐line treatment. (A) Overall survival (OS) after progression by response to second‐line treatment (401 assessable patients). CR, complete response; PR, partial response; NR/PD, non‐response or progressive disease. (B) 5‐year second‐line progression‐free survival by second‐line treatment type (n = 524). SCT, stem‐cell transplant (6 autografts and 11 allografts); F, fludarabine; C, cyclophosphamide; FCcomb, fludarabine with cyclophosphamide based combinations; Al/Anth, alkylator/anthracycline; Alemtu, alemtuzumab. (C) OS after progression by FC‐based combination treatments or SCT versus all other treatments (n = 524).

Survival by second‐line treatment. (A) Overall survival (OS) after progression by response to second‐line treatment (401 assessable patients). CR, complete response; PR, partial response; NR/PD, non‐response or progressive disease. (B) 5‐year second‐line progression‐free survival by second‐line treatment type (n = 524). SCT, stem‐cell transplant (6 autografts and 11 allografts); F, fludarabine; C, cyclophosphamide; FCcomb, fludarabine with cyclophosphamide based combinations; Al/Anth, alkylator/anthracycline; Alemtu, alemtuzumab. (C) OS after progression by FC‐based combination treatments or SCT versus all other treatments (n = 524). Second‐line PFS was significantly better after FC‐based combinations and SCT than after any other form of salvage treatment (Fig 3B). At 5 years, second‐line PFS with FC‐based combinations and SCT grouped together was 29% (21–38) versus all other treatments 12% (8–15); HR 0·52 (0·42–0·65), P < 0·0001. Although alemtuzumab had good response rates, it had short PFS. We therefore combined FC‐based combinations/SCT, versus all other treatments, in the subsequent analyses. FC‐based combinations/SCT were used as second‐line treatments in an equal proportion of patients in the three randomized trial arms (28% chlorambucil, 33% fludarabine, 32% FC, P = 0·6). At 10 years after progression, OS was significantly better in the FC‐based combinations/SCT group [28% (21–36)] versus all other treatments {10% [7-14]; HR 0·64 (0·52‐0·79), P < 0·0001; Fig 3C}. This difference was particularly marked in patients who had received fludarabine, and especially FC, as their first‐line treatment (Fig 4).
Figure 4

A forest plot showing the relative effect of second‐line treatments on overall survival (OS) after progression within subgroups defined by randomized arm. The odds ratio (OR) is shown as a filled box, with a line indicating the 95% confidence interval (CI). The overall effect after stratification by randomized arm is shown as a diamond whose width indicates the 95% CI of the overall result. The result of the test for heterogeneity is displayed to indicate any evidence of a different effect. FC, fludarabine with cyclophosphamide; FC‐based/SCT, FC‐based combinations or stem cell transplant given as second‐line treatment; all others, all other second‐line treatments.

A forest plot showing the relative effect of second‐line treatments on overall survival (OS) after progression within subgroups defined by randomized arm. The odds ratio (OR) is shown as a filled box, with a line indicating the 95% confidence interval (CI). The overall effect after stratification by randomized arm is shown as a diamond whose width indicates the 95% CI of the overall result. The result of the test for heterogeneity is displayed to indicate any evidence of a different effect. FC, fludarabine with cyclophosphamide; FC‐based/SCT, FC‐based combinations or stem cell transplant given as second‐line treatment; all others, all other second‐line treatments. We investigated the effect of second‐line FC‐based combination treatments with (n = 28) or without (n = 113) rituximab and found that outcomes were better with rituximab: second‐line CR rate 36% (95% CI: 18–54%) vs. 18% (11–25%) respectively (P = 0·05); second‐line PFS at 5 years 38% (19–58%) vs. 25% (15–34%; P = 0·06); OS 10 years after progression 35% (16–54%) vs. 23% (14–32%; P = 0·3).

The characteristics of the 10‐year survivors (Table 3)

Of the 733 patients with long‐term follow‐up data, 176 patients (24%) survived 10 years from randomization, with an equal proportion in all three randomized trial arms. Women, younger patients and those with Binet disease stage A‐progressive or B were more likely to survive 10 years than men, older patients and those with stage C disease. Over half of the patients classified by prognostic markers as good risk survived 10 years, compared to none of the poor‐risk (TP53‐deleted) group. Patients whose first‐line PFS lasted more than 3 years were 3 times more likely to be 10‐year survivors than those with shorter PFS. Patients receiving no more than two lines of treatment were more likely than multiply treated patients to survive 10 years. Those who achieved at least one CR were more likely to survive 10 years than those who never achieved a CR, although it appeared not to be important whether the CR was in response to first, second or third‐line treatment. Patients who received second‐line treatment were twice as likely to survive 10 years if they received the more effective treatments (FC‐based combinations/SCT). In multivariate analysis (n = 514), the 10‐year survivors were more likely than those who died within 10 years to be aged <70 years, in the good risk group, to have had a long first‐line PFS (>3 years), have received not more than two lines of treatment, achieved at least one CR and to have stage A‐progressive disease. In the subset of patients (n = 355) who received second‐line treatment, treatment with FC‐based combinations/SCT was an independent predictor of 10‐year survival [OR 0·40 (0·21–0·76), P = 0·005]. Available laboratory markers significantly associated with 10‐year survival in univariate analysis were as follows: (i) markers included in the definition of the risk groups: IGHV mutated status; low beta‐2 microglobulin level; absence of deletions of 11q and TP53; and (ii) other markers: absence of mutations of TP53, NOTCH1 and SF3B1; low expression of CD38, Zap70 and CLLU1; and 13q deletion (Table 4). The first 4 markers listed in Table 4 were included in the main multivariate analysis (Table 3) as components of the risk group classification. Further multivariate models were constructed adding each of the other 7 significant variables in Table 4, separately, to the Table 3 variables, including risk group. In subsets including 446 and 361 patients respectively, low expression of CD38 [OR 0·44 (0·25–0·78), P = 0·005] and normal SF3B1 [OR 0·21 (0·07–0·67), P = 0·008] were each independent predictors of 10‐year survival, in addition to the variables that were significant in the main multivariate analysis. Inclusion of all variables simultaneously in a multivariate analysis has not been reported here due to a much reduced (n = 225) and significantly biased patient subset. Prognostic factor analysis, including all the data from the LRF CLL4 trial, is covered more broadly by the CLL International Prognostic Index project (Bahlo et al, 2015).
Table 4

Biological, cytogenetic and molecular characteristics of patients surviving 10 years or more from randomization

VariableNo. trial patients assessableSurvived 10 years (%) P‐valuec
IGHV mutation status (cut‐off 98%a)Mutated20587 (43)<0·0001
Unmutated32140 (12)
beta‐2 microglobulin (cut‐off 4 mg/la)Low286100 (35)<0·0001
High23326 (11)
11q deletionNo456127 (28)0·0002
Yes11613 (11)
TP53 deletion (cut‐off 10%a)No531138 (26)0·0007
Yes330 (0)
TP53 mutationNo482126 (26)0·0008
Yes401 (3)
NOTCH1 mutationNo417108 (26)0·03
Yes455 (11)
SF3B1 mutationNo360107 (30)0·0004
Yes737 (10)
CD38 expression (cut‐off 7%a)Negative19785 (43)<0·0001
Positive33047 (14)
Zap70 expression (cut‐off 10%a)Negative24179 (33)0·0004
Positive23343 (18)
CLLU1 expression (cut‐off RQ 40b)Low24579 (32)0·0001
High26646 (17)
13q deletionNo23040 (17)0·001
Yes342100 (29)
trisomy 12No481121 (25)0·4
Yes9119 (21)

See also Oscier et al (2010) and Oscier et al (2013) for multivariate analysis of molecular/laboratory prognostic factors in LRF CLL4.

RQ, real time relative quantification.

Oscier et al (2010).

Gonzalez et al (2013).

Chi‐squared test.

Table 3

Clinical characteristics of patients surviving 10 years or more from randomization

VariableTrial patients assessable n = 733a Survived 10 years n = 176 (24%a) P‐value & Odds ratiosc (95% CI)
UnivariateMultivariate n = 514
Randomized first‐line treatmentChlorambucil363a 87 (24 a) P = 1·0 Not significant
Fludarabine (F)184a 45 (24 a)1·03 (0·68–1·55)
F + cyclophosphamide186a 44 (24 a)0·98 (0·65–1·49)
GenderFemale19263 (33) 0·001 Not significant
Male541113 (21)0·54 (0·38–0·78)
Age group (years)<6023184 (36) <0·0001 <0·0001
60–6927370 (26)0·60 (0·41–0·88)0·42 (0·23–0·77)
70+22922 (10)0·19 (0·11–0·31)0·09 (0·04–0·21)
Disease stage (Binet)A progressive18157 (31) 0·03 0·0009
B32571 (22)0·61 (0·40–0·92)0·29 (0·15–0·56)
C22748 (21)0·58 (0·37–0·91)0·59 (0·30–1·14)
Risk groupb Good11261 (54) <0·0001 <0·0001
Intermediate36955 (15)0·13 (0·08–0·21)0·23 (0·13–0·39)
Poor330 (0)(Good versus intermediate/poor)
Length of first‐line PFSLong (>3 years)233107 (46) <0·0001 <0·0001
Short (<3 years)50069 (14)0·19 (0·13–0·27)0·26 (0·15–0·46)
No. of lines of treatment123572 (31) <0·0001 0·0005
225071 (28)0·90 (0·61–1·33)0·88 (0·47–1·66);
3 or more24833 (13)0·35 (0·22–0·55)0·25 (0·12–0·55)
Responses to treatmentCR (first‐line)11041 (37) 0·0001 0·04
CR (but not until 2nd/3rd‐line)6823 (34)0·86 (0·46–1·62)2·37 (0·88–6·39)
No CR555112 (20)0·43 (0·27–0·66)0·81 (0·40–1·62)
Second‐line treatmentFC‐based combinations/SCT14647 (32) <0·0001 Not includedd
All other treatments35257 (16)0·41 (0·26–0·64)

FC‐based combinations/SCT, combination treatments based on fludarabine with cyclophosphamide, or stem cell transplant (including autografts and allografts); CR, complete response; CI, confidence interval; PFS, progression‐free survival.

44 overseas patients, who had not reached 10‐year survival by the end of clinical follow‐up, are excluded from this analysis (see Methods section). Thus the percentages shown here do not correspond to those shown in Fig 2A, which include these 44 patients censored at the date of last known contact.

Poor risk – known TP53 deletion >10%; intermediate risk – without TP53 deletion (≤10%) and with at least one of: unmutated IGHV genes and/or IGHV3‐21 usage, 11q deletion, β‐2 microglobulin ≥4 mg/l; good risk – none of the above and mutated IGHV genes (Oscier et al, 2010).

The odds ratio for the reference category for each variable = 1·0. P‐values are shown in bold and correspond to tests for heterogeneity.

This variable was not included in the main multivariate analysis because it applied only to the sub‐group who received second‐line treatment.

Clinical characteristics of patients surviving 10 years or more from randomization FC‐based combinations/SCT, combination treatments based on fludarabine with cyclophosphamide, or stem cell transplant (including autografts and allografts); CR, complete response; CI, confidence interval; PFS, progression‐free survival. 44 overseas patients, who had not reached 10‐year survival by the end of clinical follow‐up, are excluded from this analysis (see Methods section). Thus the percentages shown here do not correspond to those shown in Fig 2A, which include these 44 patients censored at the date of last known contact. Poor risk – known TP53 deletion >10%; intermediate risk – without TP53 deletion (≤10%) and with at least one of: unmutated IGHV genes and/or IGHV3‐21 usage, 11q deletion, β‐2 microglobulin ≥4 mg/l; good risk – none of the above and mutated IGHV genes (Oscier et al, 2010). The odds ratio for the reference category for each variable = 1·0. P‐values are shown in bold and correspond to tests for heterogeneity. This variable was not included in the main multivariate analysis because it applied only to the sub‐group who received second‐line treatment. Biological, cytogenetic and molecular characteristics of patients surviving 10 years or more from randomization See also Oscier et al (2010) and Oscier et al (2013) for multivariate analysis of molecular/laboratory prognostic factors in LRF CLL4. RQ, real time relative quantification. Oscier et al (2010). Gonzalez et al (2013). Chi‐squared test.

Discussion

For patients with CLL requiring treatment and entered into a randomized clinical trial, the ensuing disease course is diverse, ranging from disease progression to first remissions lasting a decade or more. In this study we have focussed on the long‐term outcomes in the LRF CLL4 trial, examining the effect of salvage treatments on survival and identifying some of the characteristics associated with survival of 10 years or more. OS from randomization remained nearly identical in the three trial arms at every point throughout the years, in spite of the significantly longer first‐line PFS in the FC arm. Our main findings suggest that both favourable prognostic markers at randomization as well as effective salvage therapy contributed to 10‐year survival. The 24% of patients who survived 10 years differed in both their pre‐treatment characteristics and their response to salvage therapy compared to those with poorer outcomes. They were more likely to be younger (<70 years), to have stage A‐progressive rather than stage B or C disease and to have a good‐risk prognostic profile (Oscier et al, 2010). The risk factors studied included those factors initially reported (Oscier et al, 2010), as well as other, more recently described, gene mutations (Oscier et al, 2013) (Table 4). The good risk factors associated with long survival mirror those identified by Rossi et al (2013) and, conversely, salvage treatment was ineffective in non‐responders to first‐line FC, two‐thirds of whom had a TP53 deletion (Fig 2D). Ten‐year survival from randomization was also associated with longer first‐line PFS, receipt of no more than two lines of treatment, at least one CR in the patient's treatment history, and with the type of salvage treatment received. The importance of a long PFS and achieving a (clinical) CR are consistent with the findings both of Tam et al (2014), who showed that patients treated with FCR with a first‐line PFS longer than 3 years survive better in the long‐term than those with PFS <3 years, and also of the VISTA (Velcade® as Initial Standard Therapy in Multiple Myeloma) trial in multiple myeloma, in which a CR either after initial therapy or after relapse was equally associated with longer OS (Harousseau et al, 2010). Patients treated less intensively at first line, particularly with chlorambucil, had improved CR rates when treated at second and third line, and good responses to salvage treatment were associated with longer OS. Second‐line treatment with FC‐based combinations or SCT was given to a third of re‐treated patients in each arm and, when compared to all other salvage therapies, led to significantly improved OS after progression. Use of these more effective second‐line therapies was also a strong predictor of 10‐year survival (Table 3, Fig 3C). The inclusion of rituximab in FC‐based combinations was beneficial as part of the salvage therapy, consistent with previous studies on the use of FCR and FCMR (fludarabine, cyclophosphamide, mitoxantrone, rituximab) in relapsed CLL (Wierda et al, 2005; Robak et al, 2010; Hillmen et al, 2011; Tam et al, 2014). Interestingly, 19 of the 24 patients in this study who underwent SCT had an initial PFS shorter than 3 years. The curative potential of SCT for some patients has been well documented by data from the European Group for Blood and Marrow Transplantation registry, which showed 35% OS at 10 years (Van Gelder et al, 2014). The median age of patients was 55 years, similar to the SCT group in our own series (median 54 years). Use of the most effective salvage therapies, FC‐based combinations or SCT, was more important for long OS in patients who previously received fludarabine, and particularly FC, than in patients who initially received chlorambucil (Fig 4). This is likely to reflect the higher percentage of patients in the chlorambucil arm who received a more effective salvage therapy compared to their first‐line therapy (including, for example, single‐agent fludarabine), while the options for a more effective salvage therapy were fewer for patients relapsing after FC. The genomic landscape of patients before treatment is variable and often comprises a dominant clone together with one or more sub‐clones. Clonal evolution is more common after treatment than in untreated CLL (Landau et al, 2013) and small sub‐clones (e.g. TP53‐mutated sub‐clones not detected initially by conventional methods) can become predominant after relapse (Rossi et al, 2014; Sutton & Rosenquist, 2015). Further longitudinal genomic studies are required to determine whether therapies such as FC, which induce a powerful DNA damage response, select for small drug resistant clones that impair response to subsequent chemo or chemo‐immunotherapy (Rosenwald et al, 2004; Landau et al, 2013; Rossi et al, 2014). In summary, this study demonstrates the importance and clinical relevance of long‐term follow‐up in clinical trials of patients with CLL. It shows that even those patients who have received less effective initial treatments, such as chlorambucil, can be rescued with more effective salvage therapy, provided a good response can be achieved. We have confirmed the benefit of FC‐based combinations as salvage therapy, particularly those including rituximab, as already shown by others. We also confirm the value of SCT in a small group of younger individuals, especially those with short PFS after first‐line treatment. Long‐term survival was greatly influenced by well‐known clinical characteristics (age, stage, response, length of PFS) and by prognostic risk groups defined by laboratory and molecular markers. While it seems likely that the outlook for patients with CLL will be transformed by the use of novel agents, long‐term follow‐up in clinical trials which incorporate both established and novel biomarkers will continue to be needed to determine the true long‐term benefit of these agents. Our findings suggest that, as with the earlier generation of drugs used in this trial, the challenge with the newer antibodies, BCL2 antagonists and BCR kinase inhibitors will be to find treatments effective against the more resistant clones emerging after relapse, so that the initial strong performance seen with these agents can translate into improved OS compared to that of patients receiving the more established treatments. A CR obtained with second‐ or third‐line agents can prolong survival.

Author contributions

DC was the principal investigator and takes primary responsibility for the paper; ME performed the analyses; RW oversaw the preparation of the data and gave statistical advice and support; DO did the core research on prognostic factors in this trial; ME, DO and DC wrote the paper. The authors report no potential conflicts of interest.
  24 in total

1.  Obinutuzumab plus chlorambucil in patients with CLL and coexisting conditions.

Authors:  Valentin Goede; Kirsten Fischer; Raymonde Busch; Anja Engelke; Barbara Eichhorst; Clemens M Wendtner; Tatiana Chagorova; Javier de la Serna; Marie-Sarah Dilhuydy; Thomas Illmer; Stephen Opat; Carolyn J Owen; Olga Samoylova; Karl-Anton Kreuzer; Stephan Stilgenbauer; Hartmut Döhner; Anton W Langerak; Matthias Ritgen; Michael Kneba; Elina Asikanius; Kathryn Humphrey; Michael Wenger; Michael Hallek
Journal:  N Engl J Med       Date:  2014-01-08       Impact factor: 91.245

Review 2.  Deciphering the molecular landscape in chronic lymphocytic leukemia: time frame of disease evolution.

Authors:  Lesley-Ann Sutton; Richard Rosenquist
Journal:  Haematologica       Date:  2015-01       Impact factor: 9.941

3.  Integrated mutational and cytogenetic analysis identifies new prognostic subgroups in chronic lymphocytic leukemia.

Authors:  Davide Rossi; Silvia Rasi; Valeria Spina; Alessio Bruscaggin; Sara Monti; Carmela Ciardullo; Clara Deambrogi; Hossein Khiabanian; Roberto Serra; Francesco Bertoni; Francesco Forconi; Luca Laurenti; Roberto Marasca; Michele Dal-Bo; Francesca Maria Rossi; Pietro Bulian; Josep Nomdedeu; Giovanni Del Poeta; Valter Gattei; Laura Pasqualucci; Raul Rabadan; Robin Foà; Riccardo Dalla-Favera; Gianluca Gaidano
Journal:  Blood       Date:  2012-12-13       Impact factor: 22.113

4.  Clinical impact of small TP53 mutated subclones in chronic lymphocytic leukemia.

Authors:  Davide Rossi; Hossein Khiabanian; Valeria Spina; Carmela Ciardullo; Alessio Bruscaggin; Rosella Famà; Silvia Rasi; Sara Monti; Clara Deambrogi; Lorenzo De Paoli; Jiguang Wang; Valter Gattei; Anna Guarini; Robin Foà; Raul Rabadan; Gianluca Gaidano
Journal:  Blood       Date:  2014-02-05       Impact factor: 22.113

5.  Idelalisib and rituximab in relapsed chronic lymphocytic leukemia.

Authors:  Richard R Furman; Jeff P Sharman; Steven E Coutre; Bruce D Cheson; John M Pagel; Peter Hillmen; Jacqueline C Barrientos; Andrew D Zelenetz; Thomas J Kipps; Ian Flinn; Paolo Ghia; Herbert Eradat; Thomas Ervin; Nicole Lamanna; Bertrand Coiffier; Andrew R Pettitt; Shuo Ma; Stephan Stilgenbauer; Paula Cramer; Maria Aiello; Dave M Johnson; Langdon L Miller; Daniel Li; Thomas M Jahn; Roger D Dansey; Michael Hallek; Susan M O'Brien
Journal:  N Engl J Med       Date:  2014-01-22       Impact factor: 91.245

6.  Evolution and impact of subclonal mutations in chronic lymphocytic leukemia.

Authors:  Dan A Landau; Scott L Carter; Petar Stojanov; Aaron McKenna; Kristen Stevenson; Michael S Lawrence; Carrie Sougnez; Chip Stewart; Andrey Sivachenko; Lili Wang; Youzhong Wan; Wandi Zhang; Sachet A Shukla; Alexander Vartanov; Stacey M Fernandes; Gordon Saksena; Kristian Cibulskis; Bethany Tesar; Stacey Gabriel; Nir Hacohen; Matthew Meyerson; Eric S Lander; Donna Neuberg; Jennifer R Brown; Gad Getz; Catherine J Wu
Journal:  Cell       Date:  2013-02-14       Impact factor: 41.582

7.  Minimal residual disease quantification is an independent predictor of progression-free and overall survival in chronic lymphocytic leukemia: a multivariate analysis from the randomized GCLLSG CLL8 trial.

Authors:  Sebastian Böttcher; Matthias Ritgen; Kirsten Fischer; Stephan Stilgenbauer; Raymonde M Busch; Günter Fingerle-Rowson; Anna Maria Fink; Andreas Bühler; Thorsten Zenz; Michael Karl Wenger; Myriam Mendila; Clemens-Martin Wendtner; Barbara F Eichhorst; Hartmut Döhner; Michael J Hallek; Michael Kneba
Journal:  J Clin Oncol       Date:  2012-02-13       Impact factor: 44.544

8.  Long-term results of first salvage treatment in CLL patients treated initially with FCR (fludarabine, cyclophosphamide, rituximab).

Authors:  Constantine S Tam; Susan O'Brien; William Plunkett; William Wierda; Alessandra Ferrajoli; Xuemei Wang; Kim-Anh Do; Jorge Cortes; Issa Khouri; Hagop Kantarjian; Susan Lerner; Michael J Keating
Journal:  Blood       Date:  2014-10-03       Impact factor: 22.113

9.  Ibrutinib versus ofatumumab in previously treated chronic lymphoid leukemia.

Authors:  John C Byrd; Jennifer R Brown; Susan O'Brien; Jacqueline C Barrientos; Neil E Kay; Nishitha M Reddy; Steven Coutre; Constantine S Tam; Stephen P Mulligan; Ulrich Jaeger; Steve Devereux; Paul M Barr; Richard R Furman; Thomas J Kipps; Florence Cymbalista; Christopher Pocock; Patrick Thornton; Federico Caligaris-Cappio; Tadeusz Robak; Julio Delgado; Stephen J Schuster; Marco Montillo; Anna Schuh; Sven de Vos; Devinder Gill; Adrian Bloor; Claire Dearden; Carol Moreno; Jeffrey J Jones; Alvina D Chu; Maria Fardis; Jesse McGreivy; Fong Clow; Danelle F James; Peter Hillmen
Journal:  N Engl J Med       Date:  2014-05-31       Impact factor: 91.245

10.  The use of individualized tumor response testing in treatment selection: second randomization results from the LRF CLL4 trial and the predictive value of the test at trial entry.

Authors:  E Matutes; A G Bosanquet; R Wade; S M Richards; M Else; D Catovsky
Journal:  Leukemia       Date:  2012-07-19       Impact factor: 11.528

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  5 in total

Review 1.  On the architecture of translational research designed to control chronic lymphocytic leukemia.

Authors:  Michael Hallek
Journal:  Hematology Am Soc Hematol Educ Program       Date:  2018-11-30

Review 2.  Ofatumumab plus chlorambucil as a first-line therapy in less fit patients with chronic lymphocytic leukemia: analysis of COMPLEMENT1 and other monoclonal antibodies association data.

Authors:  Anna Maria Frustaci; Alessandra Tedeschi; Paola Picardi; Maddalena Mazzucchelli; Roberto Cairoli; Marco Montillo
Journal:  Ther Adv Hematol       Date:  2016-05-21

3.  Cost-effectiveness of ibrutinib as first-line therapy for chronic lymphocytic leukemia in older adults without deletion 17p.

Authors:  James I Barnes; Vasu Divi; Adrian Begaye; Russell Wong; Steven Coutre; Douglas K Owens; Jeremy D Goldhaber-Fiebert
Journal:  Blood Adv       Date:  2018-08-14

Review 4.  Prognostic Factors in the Era of Targeted Therapies in CLL.

Authors:  Prajwal Boddu; Alessandra Ferrajoli
Journal:  Curr Hematol Malig Rep       Date:  2018-04       Impact factor: 3.952

5.  A laboratory-based scoring system predicts early treatment in Rai 0 chronic lymphocytic leukemia.

Authors:  Jared A Cohen; Francesca Maria Rossi; Antonella Zucchetto; Riccardo Bomben; Lodovico Terzi-di-Bergamo; Kari G Rabe; Massimo Degan; Agostino Steffan; Jerry Polesel; Enrico Santinelli; Idanna Innocenti; Giovanna Cutrona; Giovanni D'Arena; Gabriele Pozzato; Francesco Zaja; Annalisa Chiarenza; Davide Rossi; Francesco Di Raimondo; Luca Laurenti; Massimo Gentile; Fortunato Morabito; Antonino Neri; Manlio Ferrarini; Christopher D Fegan; Christopher J Pepper; Giovanni Del Poeta; Sameer A Parikh; Neil E Kay; Valter Gattei
Journal:  Haematologica       Date:  2019-10-03       Impact factor: 9.941

  5 in total

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