Literature DB >> 20016529

Temporal changes in the incidence and pattern of central nervous system relapses in children with acute lymphoblastic leukaemia treated on four consecutive Medical Research Council trials, 1985-2001.

S Krishnan1, R Wade, A V Moorman, C Mitchell, S E Kinsey, T O B Eden, C Parker, A Vora, S Richards, V Saha.   

Abstract

Despite the success of contemporary treatment protocols in childhood acute lymphoblastic leukaemia (ALL), relapse within the central nervous system (CNS) remains a challenge. To better understand this phenomenon, we have analysed the changes in incidence and pattern of CNS relapses in 5564 children enrolled in four successive Medical Research Council-ALL trials between 1985 and 2001. Changes in the incidence and pattern of CNS relapses were examined and the relationship with patient characteristics was assessed. The factors affecting outcome after relapse were determined. Overall, relapses declined by 49%. Decreases occurred primarily in non-CNS and combined relapses with a progressive shift towards later (> or =30 months from diagnosis) relapses (P<0.0001). Although isolated CNS relapses declined, the proportional incidence and timing of relapse remained unchanged. Age and presenting white blood cell (WBC) count were risk factors for CNS relapse. On multivariate analysis, the time to relapse and the trial period influenced outcomes after relapse. Relapse trends differed within biological subtypes. In ETV6-RUNX1 ALL, relapse patterns mirrored overall trends whereas in high hyperdiploidy (HH) ALL, these seem to have plateaued over the latter two trial periods. Intensive systemic and intrathecal chemotherapy have decreased the overall CNS relapse rates and changed the patterns of recurrence. The heterogeneity of therapeutic response in the biological subtypes suggests room for further optimization using currently available chemotherapy.

Entities:  

Mesh:

Year:  2009        PMID: 20016529      PMCID: PMC2820451          DOI: 10.1038/leu.2009.264

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


Introduction

Over the last three decades, survival of children with acute lymphoblastic leukaemia (ALL) has improved from around 50%1 to nearer 80%.2 During the same period the outcome for those who relapse has remained poor.3-9 Relapses result when evolutionary pressures of frontline therapy favour emergence of a subclone from within the original blast population.10 The incidence and pattern of relapses thus vary according to protocols used. Irrespective of frontline treatment, relapsed ALL is characterised by two recurring features. The first is the critical prognostic impact of the duration of first remission (CR1).3,7-9,11 Patients who relapse within 18 months of initial diagnosis have a significantly worse outcome when compared to those with later relapses. The second is the predilection for relapse in extramedullary sites, particularly the central nervous system (CNS). At initial diagnosis, <2% of children have disease within the CNS. This can rise to 40% at first relapse.3,7,9 CNS relapses may occur isolated or in conjunction with marrow disease (combined relapse) - therapy outcomes appear to differ in these two groups. In a Children’s Oncology Group (COG) report of standard risk ALL relapses, overall survival was better in children with isolated extramedullary rather than combined relapse.8 The advent of sensitive molecular investigations has complicated the distinction between these two relapse categories. For instance, the Berlin-Frankfurt-Münster (BFM) group observed that ~80% of those with apparent isolated CNS relapse had molecular evidence of marrow disease. The numbers may be small and not adjusted for the duration of CR1 but the BFM observations also indicate a poorer outcome in extramedullary relapses with concomitant higher marrow tumour burden.12 We do not know why relapses occur in the CNS. Within the limitations of our understanding, modern ALL protocols are designed to limit CNS relapses. Over the last 3 decades in the UK and elsewhere, intrathecal chemotherapy has replaced cranial irradiation as CNS-directed prophylaxis for most children with ALL.13 Along with progressive intensification of systemic therapy, these measures have in general been successful and the overall incidence of CNS relapses has steadily declined.2 Nevertheless, CNS relapse remains a significant preventable and therapeutic challenge. What then has been the impact of modern therapies on the pattern of CNS relapses in childhood ALL? Have we reached the end of optimisation with conventional drugs or is there room for further refinement of existing therapy? To answer these questions we have analysed the trends in incidence and outcome of CNS relapses among children treated for ALL in the UK over a 17-year period spanning 4 trial eras. The 5-year event free survival (EFS) improved from around 60%14 to nearly 80%15 during this period.

Patients and Methods

Patients

All patients, treated on national protocols for childhood ALL between 1985 and 2001 and who experienced a relapse in the CNS, were included in these analyses. Patients with a non-CNS relapse (n-CNSr) were included for comparison. For purposes of this study, an isolated CNS relapse (i-CNSr) was defined as the presence of ≥5 white blood cells (WBC) per μl in cerebrospinal fluid with blasts identified on cytospin, or a biopsy-proven recurrence in the CNS or eye, in the absence of morphological disease in the bone marrow. A combined relapse (c-CNSr) was defined as the presence of CNS disease with ≥5% blasts in the bone marrow aspirate. Patients aged 1–9·99 years at presentation with diagnostic WBC counts <50×109/L were designated NCI (National Cancer Institute) Standard Risk; all other patients were classified as NCI High Risk. Relapses were categorised as very early, early or late based on time to relapse from first diagnosis, i.e. <18 months, 18–30 months or ≥30 months respectively.

Clinical Trials

The Medical Research Council (MRC) clinical trials that ran during this period have previously been reported and include chronologically, UKALLX,16 UKALLXI,17,18 and ALL97.15,19 A major amendment was made to ALL97 in 1999 and the second phase of this trial is analysed separately (ALL97/99).20 Salient relevant differences between the trials are outlined in Table 1 and in the Supplemental. For purposes of analyses, patients have been grouped according to category of relapse (i-CNSr, c-CNSr or n-CNSr), NCI risk group, time to relapse and immunophenotype.7 Analyses were censored to the annual follow-up of 30th April 2007 for UKALLX and UKALLXI and to 31st October 2007 for ALL97 and ALL97/99. The small numbers of patients lost to follow-up were censored at the date of last contact. Median follow-up from commencement of treatment for UKALLX is 18·6 (range 0·0–22·3) years, for UKALLXI is 13·0 (range 0·3–16·6) years, for ALL97 is 9·3 (range 3·5–10·8) years and for ALL97/99 is 6·6 (range 2·3–8·0) years.
Table 1

Details of MRC childhood ALL trials analysed in this study. Both five-year EFS and OS have improved with trials. The proportion of boys and girls, immunophenotype, CNS disease at diagnosis and NCI risk groups are comparable between trials. The age limit of eligibility increased from ALL97 onwards and as a result, a greater proportion of older children and slightly fewer younger children were recruited to ALL97 and ALL97/99 when compared with previous trials

UKALLXUKALLXIALL97ALL97/99
Time period1985–19901991–19971997–19991999–2001
Number enrolled16122090997 (151 on HR1)938
Number achieving CR1 (%)1573 (97·6%)2076 (99·3%)983 (98·6%)932 (99·4%)
*Survival rates (95% CI)5 year EFS (%)61·962·873·879·8
(59·5–64·3)(60·6–65·0)(71·1–76·5)(77·3–82·3)
5 year OS (%)77·484·683·588·0
(75·8–79.0)(83·3–85·9)(81·5–85·5)(86·2–89·8)
Age Eligibility (yrs)0–141–141–171–17
Age at diagnosis (yrs)<2163 (10%)157 (8%)76 (8%)63 (7%)
2–91212 (75%)1617 (77%)716 (72%)680 (72%)
≥10237 (15%)316 (15%)205 (20%)195 (21%)
WBC<50 × 109/l1270 (79%)1628 (78%)770 (77%)717 (76%)
≥50 × 109/l342 (21%)462 (22%)227 (23%)221 (24%)
ImmunophenotypeNon T-cell1397 (86%)1730 (83%)863 (86%)831 (88%)
T-cell139 (9%)206 (10%)118 (12%)92 (10%)
Unknown76 (5%)154 (7%)16 (2%)15 (2%)
CNS disease at diagnosisNo1583 (98·2%)2059 (98·5%)979 (98·2%)918 (97·9%)
Yes29 (1·8%)31 (1·5%)18 (1·8%)20 (2·1%)
InductionAnthracyclineYesNone post 1992NoFor IR and HR
SteroidPrednisolonePrednisoloneRandomisedRandomised
IntensificationIntensificationblocksRandomised, none, 1or 2 short blocksRandomised 2 or 3blocksRandomised 2 or 3 blocks2 BFM type delayedintensification blocks
Duration of treatment2 years2 years2 yearsFor boys, 3 years after 1998Girls: 2 yearsBoys: 3 years
CNS directed therapyRandomisedNoYesNoNo
Cranial irradiation18 Gy for allWBC ≥50×109/L:Initially as UKALL XIOnly for CNS disease
24 Gy or HD MTX(XRT = 39) and later
WBC <50×109/L:only for CNS disease
HD MTX or IT MTX
IV MTXNoHD MTXNoCapizzi for HR patients
Continuing ITMTXNoFor those withoutcranial irradiationYesYes
Deaths in CR171 (4·5%)42 (2·0%)34 (3·4%)36 (3·9%)
Second Malignant Neoplasms (Deaths)30 (18)16 (12)6 (2)5 (2)
Number of patients treated with different CNS-directed therapies in UKALL XI and ALL 97
WBC ≥50 × 109/ltreatment receivedXRT13339
HDMTX + ITMTX16093
Unknown173
**Very high risk15292
WBC ≥50 × 109/lrandomisedXRT186
HDMTX + ITMTX188
WBC <50 × 109/lrandomisedHDMTX + ITMTX754
ITMTX759

CR1 = first complete remission

CI = confidence intervals; EFS = Event Free Survival; OS = Overall Survival. Deaths in CR1 include deaths from second malignant neoplasms.

For ALL97/99, IR = Intermediate Risk, children aged ≥10 years or with a presenting WBC of ≥50 × 109/l; HR = High Risk, adverse cytogenetics [(t(9;22), MLL rearrangements near-haploid or hypodiploid karyotype] or slow early response to therapy. Steroid randomisation was dexamethasone (6·5 mg/m2) or prednisolone (40 mg/m2).

HD MTX = High dose intravenous methotrexate, 6–8 gm/m2; ITMTX = intrathecal methotrexate. Capizzi = escalating doses of intravenous methotrexate with timed L-Asparaginase during interim maintenance, XRT = Cranial irradiation.

Very high risk based on the Oxford hazard score33 or cytogenetics. In UKALLXI very high risk patients were recommended transplant and hence received total body irradiation rather than XRT or HDM. In ALL97, very high risk patients were treated on HR1.

Cytogenetic and molecular genetic characterisation

Diagnostic cytogenetics was performed at regional laboratories and karyotypes were confirmed centrally.21 Some UKALLXI patients treated after 1994 were screened for ETV6-RUNX1 fusion using reverse transcriptase polymerase chain reaction.18 Fluorescent in situ hybridization (FISH) analyses for ETV6-RUNX1 and other translocations became routine from the start of ALL97. High hyperdiploidy (HH) was characterised by karyotyping (51–65 chromosomes) or by centromere FISH (using the Multiprobe-I system or by detection of classic trisomies).22 Patients were classified as having an MLL rearrangement if an established 11q23/MLL translocation was seen on karyotyping or if a split signal pattern was observed using a breakapart MLL FISH probe.

Statistical Methods

Analyses of relapse excluded patients who died without attaining remission. Differences in clinical features, cytogenetics and proportions of relapses between patients enrolled on the distinct protocols were analysed by the chi-squared test. The long follow-up means that analyses using simple proportions are equivalent to competing risk cumulative incidence calculations. These proportions indicate the number of patients experiencing an event of interest given the level of competing events and, when added for the different relapse categories, provide the total relapse rate. Kaplan-Meier life tables were constructed for survival curves and trials were compared using the log-rank test. Patients were censored at events other than the one of interest. Secondary malignant neoplasms (SMNs) were included in EFS estimations (Table 1) and all post-SMN ALL relapses (overall, 3) were included in the analyses. Overall survival (OS) post relapse was defined as the time between first relapse and death from any cause. Univariate analyses using log-rank tests were performed to examine the significance of a number of variables in relation to risk of relapse and overall survival. Multivariate Cox regression analysis was used to determine factors independently associated with outcome. Both methods of analysis (proportions and Kaplan-Meier) provide different information and both have thus been presented.23 All p-values quoted are two-sided. Analyses were carried out using SAS statistical software, version 9·1 (SAS Institute Inc, Cary, NC, USA), and in-house programs.

Results

A total of 5637 children with ALL were enrolled in MRC clinical trials in childhood ALL throughout this 17-year period (1985–2001). 73 (1·3%) failed to achieve remission and are excluded from further analyses (Table 1). Of the 5564 evaluable patients, 1748 (31%) experienced relapse of whom 1168 (67%) were n-CNSr, 273 (16%) were c-CNSr and 307 (18%) were i-CNSr (Table 2). 93 (1·7%) had CNS disease at original diagnosis, of whom 27 subsequently relapsed.
Table 2

Number of relapses in each relapse category by trial. i-CNSr = isolated CNS relapse, c-CNSr = combined CNS relapse, n-CNSr = non-CNS relapse. Numbers in brackets represent proportions (equivalent to competing risk cumulative incidence) within each relapse category for all patients (top) and for all relapses [bottom in italics]. p-values are for heterogeneity between trials

UKALLX (n=1573)UKALLXI (n=2076)ALL97 (n=983)ALL97/99 (n=932)p value(heterogeneity)
All relapses558(35%)790(38%)238(24%)162(17%)<0·0001
i-CNSr104(7%)132(6%)44(5%)27(3%)0·0001
[19%][17%][18%][17%]0·8
c-CNSr67(4%)150(7%)43(4%)13(1%)<0·0001
[12%][19%][18%][8%]0·0001
n-CNSr387(25%)508(24%)151(15%)122(13%)<0·0001
[69%][64%][63%][75%]0·02

Change in incidence and pattern of CNS relapses with protocols

During this period, both EFS and OS have improved with significant declines in both CNS and non-CNS relapses (Figure 1A-C and Table 2). Among those who relapsed in the CNS, the proportion with c-CNSr has fallen (p = 0·0001) while the proportion of i-CNSr has remained relatively unchanged (p = 0·8) (Table 2).
Figure 1

Kaplan-Meier analysis of cumulative incidence of site-specific relapse censored for death in remission or alternative site of relapse. (A) i-CNSr (B) c-CNSr and (C) n-CNSr. p-values are for heterogeneity between trials.

Change in time to CNS relapse with protocols

Along with the decrease in relapse rates, the duration of CR1 prior to relapse has also changed (Table 3). As the lowest relapse rates were seen with ALL97/99, a comparison has been made between ALL97/99 and all previous trials. Among relapsing patients, while the proportion of very early relapses is similar for pre-ALL97/99 and ALL97/99, there has been a drop in the proportion of early relapses, and an increase in late relapses (p<0·0001). This change in the timing of relapse with trials is also seen in c-CNSr (p=0·01) and n-CNSr (p=0·0004), but not in i-CNSr (p=0·5).
Table 3

Changing trends in time to relapse from first diagnosis in children treated on MRC ALL protocols. A comparison is made between ALL97/99 and all other trials. Compared to earlier trials, c-CNSr and n-CNSr occur later in ALL97/99. The proportion and timing of i-CNSr remains unchanged. Numbers in brackets are percentages of total relapses in each category. p-values for heterogeneity between trials correspond to comparison of pre-ALL97/99 trials with ALL97/99

UKALLXUKALLXIALL97pre-ALL97/99ALL97/99p-value
Any relapse
Very Early (<18 mths)13914871358(23%)42(26%)<0·0001
Early (18–30 mths)18327855516(33%)25(15%)
Late (≥30 mths)236364112712(45%)95(59%)
Total 558 790 238 1586 162
i-CNSr
Very Early (<18 mths)425719118(42%)10(37%)0·5
Early (18–30 mths)485817123(44%)11(41%)
Late (≥30 mths)1417839(14%)6(22%)
Total 104 132 44 280 27
c-CNSr
Very Early (<18 mths)1318132(12%)4(31%)0·01
Early (18–30 mths)265915100(38%)0(0%)
Late (≥30 mths)287327128(49%)9(69%)
Total 67 150 43 260 13
n-CNSr
Very Early (<18 mths)847351208(20%)28(23%)0·0004
Early (18–30 mths)10916123293(28%)14(11%)
Late (≥30 mths)19427477545(52%)80(66%)
Total 387 508 151 1046 122

Factors influencing risk of CNS relapse

Table 4 shows the influence of risk factors on recurrence. Age, WBC count and NCI risk group were significant risk factors across all relapse categories. Unlike n-CNSr, gender was not a risk factor for CNS relapse. Immunophenotype influenced i-CNSr and n-CNSr but not c-CNSr. When analysed by trial, there were no differences in the effect of risk factors, with two exceptions (data not shown). First, the effect of gender on n-CNSr differed significantly by trial protocol (p(heterogeneity)=0·0001), with the greatest effect seen in the earlier trials. Second, while there was a suggestion that the effect of the T-cell immunophenotype on i-CNSr differed with trial (p(heterogeneity)=0·02), this was no longer observed when the less-than-robust data from UKALLX was excluded from the analyses (p=0·6).
Table 4

Log-rank analyses of variables influencing recurrence in each relapse category. O/E = Observed/Expected ratio

VariableNo.patientsi-CNSrc-CNSrn-CNSr
ObservedrelapsesO/Ep-valueObservedrelapsesO/Ep-valueObservedrelapsesO/Ep-value
SexMale31661801·10·31661·10·057861·2<0·0005
Female23981270·91070·93820·7
WBC (× 109/L)<5043401880·8<0·000051940·9<0·000058650·9<0·0005
≥5012241192·1791·73031·5
Age (years)<2452532·2<0·00005301·40·04680·7<0·00005
2–941782080·90·0006 (trend)1980·90·8 (trend)8280·9<0·00005 (trend)
10+934461·0451·22721·6
NCI riskStandard36551650·8<0·000051620·8<0·000056650·8<0·00005
High19091421·51111·45031·5
Immunophenotypenon T-cell47672571·00·022411·00·49611·0<0·00005
T-cell539351·5251·21381·6
We have sufficient data to analyse the pattern of relapses in the four main cytogenetic subtypes (Table 5). There was a significant decrease in relapse rates in ETV6-RUNX1 patients over successive protocols (p<0·0001). The change in pattern was similar to that observed for the whole group, i.e. a proportionate decrease in c-CNSr but not in i-CNSr with time. Patients with HH ALL also showed a significant decline in relapse rates (p<0·0001), primarily between UKALLXI and ALL97. Unlike in ETV6-RUNX1 patients, there was no apparent change in relapse pattern, with the proportion of i-CNSr and c-CNSr remaining essentially unchanged over the trials (Table 5). Although numbers were small, there were also suggestions of a decrease in relapse rates over time in those with MLL (p(trend)=0·009) and t(9;22) (p(trend)=0·05) rearrangements. A decline in i-CNSr was seen in t(9:22) disease, with none observed in the later trials. However increasingly with trials, patients with adverse cytogenetic subtypes received an allograft in CR1 and thus in ALL97 and ALL97/99 most patients with t(9;22) and MLL rearrangements would have been transplanted.24
Table 5

Changing trends in relapses in four cytogenetic subtypes over successive trials. The rise in incidence of translocation-associated leukaemias in the later trials reflects the use of FISH screening. The proportion of children in each cytogenetic group does not differ by trial, with the exception of MLL rearrangements (infants included in UKALLX but not in UKALLXI). The numbers screened represent the number of patients in each trial with available cytogenetic data. Numbers in brackets represent percentages of total relapses in each group

UKALLXUKALLXIALL97ALL97/99p-value
ETV6-RUNX1
ScreenedNo Data663764869
N (% of screened)131 (20%)175 (23%)194 (22%)0·3
Relapses37%17%9%<0·0001(trend<0·0001)
i-CNSr6 (19%)3 (10%)4 (24%)0·1
c-CNSr9 (12%)9 (30%)0
n-CNSr33 (69%)18 (60%)13 (76%)
HH
Screened5471656862792
N (% of screened)197 (36%)528 (32%)294 (34%)272 (34%)0·3
Relapses27%30%16%15%<0·0001(trend<0·0001)
i-CNSr13 (24%)26 (16%)9 (20%)8 (20%)0·6
c-CNSr6 (11%)31 (20%)8 (17%)4 (10%)
n-CNSr35 (65%)103 (64%)29 (63%)28 (70%)
t(9;22)
Screened5471656931903
N (% of screened)11 (2%)26 (2%)17 (2%)26 (3%)0·2
Relapses64%58%53%35%0·3(trend 0·05)
i-CNSr3 (43%)2 (13%)000·1
c-CNSr01 (7%)1 (11%)0
n-CNSr4 (57%)12 (80%)8 (89%)9 (100%)
MLL rearranged
Screened5471660932901
N (% of screened)15 (3%)23 (1%)14 (2%)24 (3%)0·04
Relapses60%65%50%25%0·03(trend 0·009)
i-CNSr2 (22%)002 (33%)0·2
c-CNSr03 (20%)2 (29%)1 (17%)
n-CNSr7 (78%)12 (80%)5 (71%)3 (50%)

Outcome following CNS relapse

Similar to the COG experience,8 the overall outcome was significantly better in patients with i-CNSr (p=0·04)(Supplemental). Supplementary Figure S1A-C shows differences in post-relapse OS in each relapse category by trial. There were excess relapses in UKALLXI (Table 2) but many patients were subsequently salvaged. Excluding UKALLXI, there is no significant difference in post-relapse OS for UKALLX, ALL97 and ALL97/99. The 5-year OS post c-CNSr in UKALLX and ALL97/99 are comparable. While OS post n-CNSr appeared to be better, and for i-CNSr worse in ALL97/99, when compared to UKALLX these differences are not statistically significant. The prognostic significance of a number of variables in relation to outcome post relapse is shown in Table 6. Univariate analyses showed that time to relapse, WBC count, adverse cytogenetics and NCI risk group were predictive of OS for all categories of relapse. As with n-CNSr, age and HH were predictive for OS in i-CNSr while immunophenotype and the ETV6-RUNX1 genotype significantly influenced post-relapse OS in c-CNSr. Multivariate analysis, after exclusion of cytogenetic subtypes due to small numbers and missing data, confirmed the independent prognostic impact of time to relapse on post-relapse OS in all three relapse categories. Additional factors independently and significantly associated with post-relapse OS were WBC count (i-CNSr and n-CNSr) and the blast immunophenotype (c-CNSr and n-CNSr).
Table 6

Log-rank analyses of factors influencing outcome in each category of relapse (incomplete data for cytogenetic subtypes). O/E = Observed/Expected ratio

VariablePost i-CNSrPost c-CNSrPost n-CNSr
No.patientsDeathsO/Ep-valueNo.patientsDeathsO/Ep-valueNo.patientsDeathsO/Ep-value
SexMale1801021·00·7166971·10·27864521·00·06
Female127711·0107540·93822301·1
WBC (× 109/L)<50188940·80·0009194950·80·00038654610·9<0·00005
≥50119791·479561·53032211·5
Age (years)<253391·60·00930181·20·568360·9<0·00005
2–92081090·9(0·04 trend)1981040·9(0·2 trend)8294500·9<0·00005 (trend)
10+46251·045291·32711961·6
NCI riskStandard165820·80·003162770·80·0016653250·7<0·00005
High142911·3111741·45033571·5
Immunophenotypenon T-cell2571421·00·42411270·9<0·000059615240·9<0·00005
T-cell35201·225212·81381172·4
Time to relapse<18 mths128831·30·000336312·8<0·000052362183·6<0·00005
18–30 mths134750·9(trend)100681·3(trend)3072261·3(trend)
≥30mths45150·5137520·66252380·5
ETV6-RUNX1No80451·00·673401·30·0023241841·10·002
Yes1360·81830·364240·6
t(9;22)No2171121·00·01190961·00·047574321·00·01
Yes553·8226·233241·7
HHNo161901·10·02138771·10·065693611·2<0·00005
Yes56230·749190·7195830·6
MLL rearrangedNo2181121·00·003187931·00·037684341·00·0001
Yes445·8653·127232·5
Besides time to relapse, multivariate analysis indicated that the trial period significantly influenced post-relapse OS across all relapse categories. The choice of steroid in frontline therapy has been reported to influence outcome.15 Overall, EFS was significantly higher with frontline dexamethasone treatment (Table 1), although within trials, this effect was observed in ALL97 and not in ALL97/99. However, frontline steroid therapy had no significant influence on OS in relapsed patients who were randomised to receive either prednisolone 40mg/m2 (n=280) or dexamethasone 6·5mg/m2 (n=120) in frontline protocols (p=0·4). This was equally true for post-relapse OS in each relapse category [p(heterogeneity)=0·2)] although numbers in these subgroups were small.

Transplantation

The proportion of patients treated with an allogeneic stem cell transplant (SCT) has decreased progressively with each trial (p<0·0001) as has the proportion of transplants carried out post relapse over time, p(trend)=0·0007 (Supplementary Table S1). There was no significant variation in the proportion of patients receiving a transplant post i-CNSr or n-CNSr over the study period. There was a decrease in SCT for those with c-CNSr (p=0·02), although numbers are small for ALL97/99. In patients transplanted post CNS relapse (i-CNSr or c-CNSr), two-year OS, defined from the date of transplant, was 46% (95% CI: 34%–58%) in UKALLX, 64% (56%–72%) in UKALLXI, 55% (40%–70%) in ALL97 and 65% (40%–90%) in ALL97/99. Comparison of outcome between patients treated with chemotherapy only and those treated with SCT has not been attempted due to the inherent bias in therapy selection.

Discussion

Our analyses confirm that current UK therapy for ALL is effective in preventing extramedullary relapses in most children. This does not adequately explain why the decline in CNS relapses is seen predominantly in combined relapses or the proportionately little change in the pattern of i-CNSr with progressive trials. Though UKALLXI investigated different CNS-directed therapies, the highest incidence of all relapses, and notably c-CNSr, were seen during this era. In UKALLX all children received cranial irradiation and an anthracycline during induction.16 In ALL97/99, anthracyclines were only given to NCI high risk patients or those with poor early response to therapy15,20 and radiotherapy was reserved for those with CNS disease at diagnosis. Nevertheless there is a significant decrease in relapse rates in all categories in ALL97/99. Thus CNS recurrence can largely be prevented without the use of high dose methotrexate or cranial irradiation. The more frequent use of intrathecal methotrexate is contributory, but as this was introduced in UKALLXI, it is not the sole factor. In ALL97 and ALL97/99, steroid therapy was randomised between prednisolone and dexamethasone. The latter is thought to have better penetration into the CNS. While significant improvements in EFS and in both CNS and non-CNS relapse rates were seen with dexamethasone, there was no difference in OS.15 Additionally, there was no significant heterogeneity of effect of the randomised steroid on outcome by trial. Thus other chemotherapeutic changes in ALL97/99 are primarily responsible for the improvement in outcome between ALL97 and ALL97/99. In ALL97/99, UKALLX/ALL97 intensification phases were replaced with BFM-type consolidation blocks, therapy was risk stratified and intrathecal therapy extended. The duration of therapy for boys was extended to 3 years, so that from 1998, most boys received 3 instead of 2 years of therapy. The additional randomisation of 6-mercaptopurine with 6-thioguanine (6-TG) found the latter to be protective against i-CNSr, but also hepatotoxic.19 Although synergy with dexamethasone is a possibility, neither 6-TG nor its active metabolites cross the blood brain barrier.19 Thus the evidence suggests that risk-stratified intensification of systemic therapy along with frequent intrathecal chemotherapy is the most successful approach to prevention of CNS relapse. A similar observation has been reported by COG in the CCG-1961 study. Children receiving early post induction intensification of therapy showed a significant decrease in n-CNSr and c-CNSr but not i-CNSr.25 Thus both intensification and more frequent intrathecal therapy appear to have played a role in the decline in CNS relapses. With multi-agent chemotherapy, it is difficult to identify the key responsible agent(s). The differential relapse trends in the cytogenetic subtypes offer room for speculation. In patients with ETV6-RUNX1, the incidence of relapses has progressively decreased with each successive protocol from UKALLXI onwards. Further decline in ETV6-RUNX1 associated relapses in ALL97/99 occurs primarily in the c-CNSr group. We have already commented on the fact that the improvement in outcome with ALL97/99 cannot be attributed to dexamethasone alone. ETV6-RUNX1 leukaemias are thought to benefit from intensive asparaginase therapy.26,27 UKALLXI and ALL97 used suboptimal doses of Erwinase. The improved outcome of ETV6-RUNX1 patients in ALL97/99 is probably related to the more effective use of E. coli asparaginase (Elspar®, Merck, USA) in this trial. The additional intensification of asparaginase therapy in ALL2003 is expected to further reduce ETV6-RUNX1 relapses. In HH ALL, a predilection for extramedullary relapses in patients treated on contemporary chemotherapy regimens has been reported from a single centre.28 Though relapses in HH patients halved in ALL97, ALL97/99 provided no apparent further benefit and overall, the proportion of i-CNSr and c-CNSr has remained the same over trials. HH ALLs are more likely to be responsive to intensive methotrexate regimens.28 In UKALLXI, high dose intravenous methotrexate (HDMTX) was found to be protective against i-CNSr.13 The relapse rate for HH is also lower in this protocol than that for ETV6-RUNX1. It is thus tempting to postulate that outcome in patients with HH may be further improved by the targeted reintroduction of HDMTX in future trials. Thus, there are still opportunities to biologically adapt current therapy to improve outcomes. Though the incidence of relapse has decreased with time, post-relapse outcomes have not improved. This suggests that by optimising treatment, we are now preventing relapses in those who were earlier cured with salvage therapy. Given our incomplete understanding of why CNS relapses occur and the paucity of new agents, the best therapeutic strategy remains unclear. The results of transplantation in children with i-CNSr relapses have been variable.7,8,11,30-32 In retrospect, a number of children who were transplanted for disease recurrence in earlier trials would have been cured by current chemotherapy. The standard approach for those who are not transplanted is chemoradiotherapy. However, there is little consensus on the dose, type and timing of CNS irradiation.2 Radiotherapy no longer has a role in preventing CNS relapses in frontline therapy. Is it really of benefit as a therapeutic adjunct to systemic chemotherapy in relapsed disease? This is a difficult question to answer as the small numbers and heterogeneity of disease preclude a randomised approach to this problem. At the moment the most effective strategy remains prevention of disease recurrence. Our analyses suggest that both the biological heterogeneity of the disease and combined systemic and intrathecal chemotherapy influence the incidence and pattern of CNS relapse. Thus further optimisation with currently available agents is possible and may further decrease CNS recurrence.

Supplementary Material

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

1.  Asparagine synthetase expression is linked with L-asparaginase resistance in TEL-AML1-negative but not TEL-AML1-positive pediatric acute lymphoblastic leukemia.

Authors:  Wendy A G Stams; Monique L den Boer; Amy Holleman; Inge M Appel; H Berna Beverloo; Elisabeth R van Wering; Gritta E Janka-Schaub; William E Evans; Rob Pieters
Journal:  Blood       Date:  2005-02-17       Impact factor: 22.113

2.  Hyperdiploid acute lymphoblastic leukemia with 51 to 65 chromosomes: a distinct biological entity with a marked propensity to undergo apoptosis.

Authors:  C Ito; M Kumagai; A Manabe; E Coustan-Smith; S C Raimondi; F G Behm; K G Murti; J E Rubnitz; C H Pui; D Campana
Journal:  Blood       Date:  1999-01-01       Impact factor: 22.113

3.  Long-term outcome in children with relapsed ALL by risk-stratified salvage therapy: results of trial acute lymphoblastic leukemia-relapse study of the Berlin-Frankfurt-Münster Group 87.

Authors:  Hagen Graf Einsiedel; Arend von Stackelberg; Reinhard Hartmann; Rüdiger Fengler; Martin Schrappe; Gritta Janka-Schaub; Georg Mann; Karel Hählen; Ulrich Göbel; Thomas Klingebiel; Wolf-Dieter Ludwig; Günter Henze
Journal:  J Clin Oncol       Date:  2005-11-01       Impact factor: 44.544

4.  Benefit of dexamethasone compared with prednisolone for childhood acute lymphoblastic leukaemia: results of the UK Medical Research Council ALL97 randomized trial.

Authors:  C D Mitchell; S M Richards; S E Kinsey; J Lilleyman; A Vora; T O B Eden
Journal:  Br J Haematol       Date:  2005-06       Impact factor: 6.998

5.  Allogeneic stem cell transplantation in children with acute lymphoblastic leukemia after isolated central nervous system relapse: our experiences and review of the literature.

Authors:  T Yoshihara; A Morimoto; H Kuroda; T Imamura; H Ishida; K Tsunamoto; M Naya; S Hibi; S Todo; S Imashuku
Journal:  Bone Marrow Transplant       Date:  2006-01       Impact factor: 5.483

6.  Prospective analysis of TEL/AML1-positive patients treated on Dana-Farber Cancer Institute Consortium Protocol 95-01.

Authors:  Mignon L Loh; Meredith A Goldwasser; Lewis B Silverman; Wing-Man Poon; Shashaank Vattikuti; Angelo Cardoso; Donna S Neuberg; Kevin M Shannon; Stephen E Sallan; D Gary Gilliland
Journal:  Blood       Date:  2006-02-21       Impact factor: 22.113

7.  Submicroscopic bone marrow involvement in isolated extramedullary relapses in childhood acute lymphoblastic leukemia: a more precise definition of "isolated" and its possible clinical implications, a collaborative study of the Resistant Disease Committee of the International BFM study group.

Authors:  Nikola Hagedorn; Cécile Acquaviva; Eva Fronkova; Arend von Stackelberg; Andrea Barth; Udo zur Stadt; André Schrauder; Jan Trka; Nathalie Gaspar; Karl Seeger; Günter Henze; Hélène Cavé; Cornelia Eckert
Journal:  Blood       Date:  2007-08-24       Impact factor: 22.113

8.  Early response to induction is predictive of survival in childhood Philadelphia chromosome positive acute lymphoblastic leukaemia: results of the Medical Research Council ALL 97 trial.

Authors:  Anindita Roy; Mike Bradburn; Anthony V Moorman; Julie Burrett; Sharon Love; Sally E Kinsey; Chris Mitchell; Ajay Vora; Tim Eden; John S Lilleyman; Ian Hann; Vaskar Saha
Journal:  Br J Haematol       Date:  2005-04       Impact factor: 6.998

9.  Toxicity and efficacy of 6-thioguanine versus 6-mercaptopurine in childhood lymphoblastic leukaemia: a randomised trial.

Authors:  Ajay Vora; Chris D Mitchell; Lynne Lennard; T O B Eden; Sally E Kinsey; John Lilleyman; Sue M Richards
Journal:  Lancet       Date:  2006-10-14       Impact factor: 79.321

10.  Outcome after first relapse in childhood acute lymphoblastic leukaemia - lessons from the United Kingdom R2 trial.

Authors:  Anindita Roy; Anna Cargill; S Love; Anthony V Moorman; Sara Stoneham; Anita Lim; Phil J Darbyshire; Donna Lancaster; Ian Hann; Tim Eden; Vaskar Saha
Journal:  Br J Haematol       Date:  2005-07       Impact factor: 6.998

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  18 in total

1.  Acute lymphoblastic leukemia of the central nervous system: on the role of PBX1.

Authors:  Ameera Alsadeq; Denis M Schewe
Journal:  Haematologica       Date:  2017-04       Impact factor: 9.941

2.  Central nervous system acute lymphoblastic leukemia: role of natural killer cells.

Authors:  Liron Frishman-Levy; Avishai Shemesh; Allan Bar-Sinai; Chao Ma; Zhenya Ni; Shahar Frenkel; Vera Muench; Hilke Bruckmueller; Christian Vokuhl; Klaus-Michael Debatin; Cornelia Eckert; Martin Stanulla; Martin Schrappe; Kerry S Campbell; Ron Loewenthal; Denis M Schewe; Jacob Hochman; Lueder H Meyer; Dan Kaufman; Gunnar Cario; Angel Porgador; Shai Izraeli
Journal:  Blood       Date:  2015-04-20       Impact factor: 22.113

3.  Neuromuscular impairments in adult survivors of childhood acute lymphoblastic leukemia: associations with physical performance and chemotherapy doses.

Authors:  Kirsten K Ness; Melissa M Hudson; Ching-Hon Pui; Daniel M Green; Kevin R Krull; Tseng T Huang; Leslie L Robison; E Brannon Morris
Journal:  Cancer       Date:  2011-07-15       Impact factor: 6.860

Review 4.  Flow Cytometric Detection of Malignant Blasts in Cerebrospinal Fluid: A Biomarker of Central Nervous System Involvement in Childhood Acute Lymphoblastic Leukemia.

Authors:  Maria Thastrup; Hanne Vibeke Marquart; Kjeld Schmiegelow
Journal:  Biomolecules       Date:  2022-06-09

5.  5T4 oncofetal antigen is expressed in high risk of relapse childhood pre-B acute lymphoblastic leukemia and is associated with a more invasive and chemotactic phenotype.

Authors:  F V Castro; O J McGinn; S Krishnan; G Marinov; J Li; A J Rutkowski; E Elkord; D J Burt; M Holland; R Vaghjiani; A Gallego; V Saha; P L Stern
Journal:  Leukemia       Date:  2012-01-23       Impact factor: 11.528

6.  Effect of mitoxantrone on outcome of children with first relapse of acute lymphoblastic leukaemia (ALL R3): an open-label randomised trial.

Authors:  Catriona Parker; Rachel Waters; Carly Leighton; Jeremy Hancock; Rosemary Sutton; Anthony V Moorman; Philip Ancliff; Mary Morgan; Ashish Masurekar; Nicholas Goulden; Nina Green; Tamas Révész; Philip Darbyshire; Sharon Love; Vaskar Saha
Journal:  Lancet       Date:  2010-12-03       Impact factor: 79.321

7.  Pharmacogenetics of the Central Nervous System-Toxicity and Relapse Affecting the CNS in Pediatric Acute Lymphoblastic Leukemia.

Authors:  Judit C Sági; András Gézsi; Bálint Egyed; Zsuzsanna Jakab; Noémi Benedek; Andishe Attarbaschi; Stefan Köhrer; Jakub Sipek; Lucie Winkowska; Marketa Zaliova; Stavroula Anastasopoulou; Benjamin Ole Wolthers; Susanna Ranta; Csaba Szalai; Gábor T Kovács; Ágnes F Semsei; Dániel J Erdélyi
Journal:  Cancers (Basel)       Date:  2021-05-12       Impact factor: 6.639

8.  Incidence and risk factors for central nervous system relapse in children and adolescents with acute lymphoblastic leukemia.

Authors:  Camila Silva Peres Cancela; Mitiko Murao; Marcos Borato Viana; Benigna Maria de Oliveira
Journal:  Rev Bras Hematol Hemoter       Date:  2012

9.  Late isolated central nervous system relapse in childhood B-cell acute lymphoblastic leukemia treated with intensified systemic therapy and delayed reduced dose cranial radiation: A report from the Children's Oncology Group study AALL02P2.

Authors:  Caroline Hastings; Yichen Chen; Meenakshi Devidas; A Kim Ritchey; Naomi J Winick; William L Carroll; Stephen P Hunger; Brent L Wood; Robert B Marcus; Julio C Barredo
Journal:  Pediatr Blood Cancer       Date:  2021-07-24       Impact factor: 3.838

10.  Integration of genetic and clinical risk factors improves prognostication in relapsed childhood B-cell precursor acute lymphoblastic leukemia.

Authors:  Julie A E Irving; Amir Enshaei; Catriona A Parker; Rosemary Sutton; Roland P Kuiper; Amy Erhorn; Lynne Minto; Nicola C Venn; Tamara Law; Jiangyan Yu; Claire Schwab; Rosanna Davies; Elizabeth Matheson; Alysia Davies; Edwin Sonneveld; Monique L den Boer; Sharon B Love; Christine J Harrison; Peter M Hoogerbrugge; Tamas Revesz; Vaskar Saha; Anthony V Moorman
Journal:  Blood       Date:  2016-05-26       Impact factor: 22.113

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