• Treatment intensification in patients with B-ALL with MRD ≥1% at day 19 of remission induction significantly enhances EFS.

  • Among patients with negative day 46 MRD, those who also had negative MRD at day 19 have particularly favorable treatment outcomes.

Abstract

We evaluated the prognostic and therapeutic significance of measurable residual disease (MRD) during remission induction in pediatric patients with acute lymphoblastic leukemia (ALL). In the Chinese Children Cancer Group ALL 2015 protocol, 7640 patients were categorized into low-, intermediate-, or high-risk groups based on clinical and genetic features. Final risk classification was determined by assessing MRD using flow cytometry on days 19 and 46 of remission induction with additional intensified chemotherapy for day 19 MRD ≥1%. Patients with B-ALL with negative MRD (<0.01%) on day 19 or day 46 had significantly better 5-year event-free survival (EFS) than those with MRD of between 0.01% and 0.99% who, in turn, had better EFS than patients with MRD of ≥1%. Provisional low-risk patients with day 19 MRD ≥1% but negative day 46 MRD who were reclassified as intermediate risk had a 5-year EFS that was comparable with that of low-risk patients with day 19 MRD of 0.3% to 0.99% and negative day 46 MRD (82.5% vs 83.0%) and better EFS than provisional low-risk patients with MRD on both days (83.0% vs 72.6%; P < .001). Similarly, patients with provisional intermediate-risk B-ALL with day 19 MRD ≥1% but negative day 46 MRD who received additional therapy had better 5-year EFS than those with day 19 MRD between 0.3% and 0.99% (70.7% vs 53.0%; P < .001). Among low-risk patients with negative day 46 MRD, those with negative day 19 MRD had superior EFS than those with positive day 19 MRD (91.7% vs 86.1%; P < .001). Optimal use of day 19 MRD could improve individualized treatment and outcomes. This trial was registered at www.chictr.org.cn as #ChiCTR-IPR-14005706.

1.
Pieters
R
,
Mullighan
CG
,
Hunger
SP
.
Advancing diagnostics and therapy to reach universal cure in childhood ALL
.
J Clin Oncol
.
2023
;
41
(
36
):
5579
-
5591
.
2.
Berry
DA
,
Zhou
S
,
Higley
H
, et al
.
Association of minimal residual disease with clinical outcome in pediatric and adult acute lymphoblastic leukemia: a meta-analysis
.
JAMA Oncol
.
2017
;
3
(
7
):
e170580
.
3.
Coustan-Smith
E
,
Behm
FG
,
Sanchez
J
, et al
.
Immunological detection of minimal residual disease in children with acute lymphoblastic leukaemia
.
Lancet
.
1998
;
351
(
9102
):
550
-
554
.
4.
Moorman
AV
,
Enshaei
A
,
Murdy
D
, et al
.
Integration of genetics and MRD to define low risk patients with B-cell precursor acute lymphoblastic leukaemia with intermediate MRD levels at the end of induction
.
Leukemia
.
2024
;
38
(
9
):
2023
-
2026
.
5.
Basso
G
,
Veltroni
M
,
Valsecchi
MG
, et al
.
Risk of relapse of childhood acute lymphoblastic leukemia is predicted by flow cytometric measurement of residual disease on day 15 bone marrow
.
J Clin Oncol
.
2009
;
27
(
31
):
5168
-
5174
.
6.
Borowitz
MJ
,
Wood
BL
,
Devidas
M
, et al
.
Prognostic significance of minimal residual disease in high risk B-ALL: a report from Children's Oncology Group study AALL0232
.
Blood
.
2015
;
126
(
8
):
964
-
971
.
7.
Vora
A
,
Goulden
N
,
Mitchell
C
, et al
.
Augmented post-remission therapy for a minimal residual disease-defined high-risk subgroup of children and young people with clinical standard-risk and intermediate-risk acute lymphoblastic leukaemia (UKALL 2003): a randomised controlled trial
.
Lancet Oncol
.
2014
;
15
(
8
):
809
-
818
.
8.
Pui
CH
,
Pei
D
,
Coustan-Smith
E
, et al
.
Clinical utility of sequential minimal residual disease measurements in the context of risk-based therapy in childhood acute lymphoblastic leukaemia: a prospective study
.
Lancet Oncol
.
2015
;
16
(
4
):
465
-
474
.
9.
Roberts
KG
,
Pei
D
,
Campana
D
, et al
.
Outcomes of children with BCR-ABL1-like acute lymphoblastic leukemia treated with risk-directed therapy based on the levels of minimal residual disease
.
J Clin Oncol
.
2014
;
32
(
27
):
3012
-
3020
.
10.
Pui
CH
,
Rebora
P
,
Schrappe
M
, et al
.
Outcome of children with hypodiploid acute lymphoblastic leukemia: a retrospective multinational study
.
J Clin Oncol
.
2019
;
37
(
10
):
770
-
779
.
11.
Stanulla
M
,
Dagdan
E
,
Zaliova
M
, et al
.
IKZF1plus defines a new minimal residual disease-dependent very-poor prognostic profile in pediatric B-cell precursor acute lymphoblastic leukemia
.
J Clin Oncol
.
2018
;
36
(
12
):
1240
-
1249
.
12.
Ariffin
H
,
Chiew
EKH
,
Oh
BLZ
, et al
.
Anthracycline-free protocol for favorable-risk childhood ALL: a noninferiority comparison between Malaysia-Singapore ALL 2003 and ALL 2010 studies
.
J Clin Oncol
.
2023
;
41
(
20
):
3642
-
3651
.
13.
Jeha
S
,
Pei
D
,
Choi
J
, et al
.
Improved CNS control of childhood acute lymphoblastic leukemia without cranial irradiation: St Jude total therapy study 16
.
J Clin Oncol
.
2019
;
37
(
35
):
3377
-
3391
.
14.
Schrappe
M
,
Valsecchi
MG
,
Bartram
CR
, et al
.
Late MRD response determines relapse risk overall and in subsets of childhood T-cell ALL: results of the AIEOP-BFM-ALL 2000 study
.
Blood
.
2011
;
118
(
8
):
2077
-
2084
.
15.
O'Connor
D
,
Enshaei
A
,
Bartram
J
, et al
.
Genotype-specific minimal residual disease interpretation improves stratification in pediatric acute lymphoblastic leukemia
.
J Clin Oncol
.
2018
;
36
(
1
):
34
-
43
.
16.
Pieters
R
,
de Groot-Kruseman
H
,
Van der Velden
V
, et al
.
Successful therapy reduction and intensification for childhood acute lymphoblastic leukemia based on minimal residual disease monitoring: study ALL10 from the Dutch Childhood Oncology Group
.
J Clin Oncol
.
2016
;
34
(
22
):
2591
-
2601
.
17.
Sidhom
I
,
Shaaban
K
,
Youssef
SH
, et al
.
Reduced-intensity therapy for pediatric lymphoblastic leukemia: impact of residual disease early in remission induction
.
Blood
.
2021
;
137
(
1
):
20
-
28
.
18.
Tang
J
,
Yu
J
,
Cai
J
, et al
.
Prognostic factors for CNS control in children with acute lymphoblastic leukemia treated without cranial irradiation
.
Blood
.
2021
;
138
(
4
):
331
-
343
.
19.
Kalbfleisch
J
,
Prentice
R
. The Statistical Analysis of Failure Time Data. 2nd ed.
Wiley-Interscience
;
2011
.
20.
Fine
JP
,
Gray
RJ
.
A proportional hazards model for the subdistribution of a competing risk
.
J Am Stat Assoc
.
1999
;
94
(
446
):
496
-
509
.
21.
Campbell
M
,
Kiss
C
,
Zimmermann
M
, et al
.
Childhood acute lymphoblastic leukemia: results of the randomized acute lymphoblastic leukemia intercontinental-Berlin-Frankfurt-Münster 2009 trial
.
J Clin Oncol
.
2023
;
41
(
19
):
3499
-
3511
.
22.
Conter
V
,
Valsecchi
MG
,
Cario
G
, et al
.
Four additional doses of PEG-L-asparaginase during the consolidation phase in the AIEOP-BFM ALL 2009 protocol do not improve outcome and increase toxicity in high-risk ALL: results of a randomized study
.
J Clin Oncol
.
2024
;
42
(
8
):
915
-
926
.
23.
Newman
H
,
Hunger
SP
.
Future of treatment of adolescents and young adults with ALL: a vision for collaboration and equity
.
J Clin Oncol
.
2024
;
42
(
6
):
665
-
674
.
24.
Purvis
K
,
Zhou
Y
,
Karol
SE
, et al
.
Outcomes in patients with ETV6::RUNX1 or high-hyperdiploid B-ALL treated in the St. Jude total therapy XV/XVI studies
.
Blood
.
2025
;
145
(
2
):
190
-
201
.
25.
Jeha
S
,
Choi
J
,
Roberts
KG
, et al
.
Clinical significance of novel subtypes of acute lymphoblastic leukemia in the context of minimal residual disease-directed therapy
.
Blood Cancer Discov
.
2021
;
2
(
4
):
326
-
337
.
26.
Svaton
M
,
Skotnicova
A
,
Reznickova
L
, et al
.
NGS better discriminates true MRD positivity for the risk stratification of childhood ALL treated on an MRD-based protocol
.
Blood
.
2023
;
141
(
5
):
529
-
533
.
27.
Wood
B
,
Wu
D
,
Crossley
B
, et al
.
Measurable residual disease detection by high-throughput sequencing improves risk stratification for pediatric B-ALL
.
Blood
.
2018
;
131
(
12
):
1350
-
1359
.
28.
Si Lim
SJ
,
Ford
JB
,
Hermiston
ML
.
How I treat newly diagnosed and refractory T-cell acute lymphoblastic lymphoma in children and young adults
.
Blood
.
2023
;
141
(
25
):
3019
-
3030
.
29.
Gocho
Y
,
Liu
J
,
Hu
J
, et al
.
Network-based systems pharmacology reveals heterogeneity in LCK and BCL2 signaling and therapeutic sensitivity of T-cell acute lymphoblastic leukemia
.
Nat Cancer
.
2021
;
2
(
3
):
284
-
299
.
30.
Yoshimura
S
,
Panetta
JC
,
Hu
J
, et al
.
Preclinical pharmacokinetic and pharmacodynamic evaluation of dasatinib and ponatinib for the treatment of T-cell acute lymphoblastic leukemia
.
Leukemia
.
2023
;
37
(
6
):
1194
-
1203
.
31.
Brady
SW
,
Roberts
KG
,
Gu
Z
, et al
.
The genomic landscape of pediatric acute lymphoblastic leukemia
.
Nat Genet
.
2022
;
54
(
9
):
1376
-
1389
.
32.
Lee
SHR
,
Yang
W
,
Gocho
Y
, et al
.
Pharmacotypes across the genomic landscape of pediatric acute lymphoblastic leukemia and impact on treatment response
.
Nat Med
.
2023
;
29
(
1
):
170
-
179
.
33.
Pölönen
P
,
Di Giacomo
D
,
Seffernick
AE
, et al
.
The genomic basis of childhood T-lineage acute lymphoblastic leukaemia
.
Nature
.
2024
;
632
(
8027
):
1082
-
1091
.
You do not currently have access to this content.
Sign in via your Institution