Literature DB >> 31729120

TP53 alterations in relapsed childhood acute lymphoblastic leukemia.

Chih-Hsiang Yu1, Wan-Ting Chang2, Shiann-Tarng Jou3, Tze-Kang Lin4,5, Ya-Hsuan Chang6, Chien-Yu Lin6, Kai-Hsin Lin3, Meng-Yao Lu3, Shu-Huey Chen7, Kang-Hsi Wu8, Shih-Chung Wang9, Hsiu-Hao Chang3, Yi-Ning Su5, Chia-Cheng Hung5, Dong-Tsamn Lin3,10, Hsuan-Yu Chen6, Yung-Li Yang3,10.   

Abstract

TP53 alterations are frequent relapse-acquired mutations in childhood acute lymphoblastic leukemia (ALL). The present study evaluated the clinical significance of relapsed childhood ALL in Taiwan. Diagnostic and/or relapsed bone marrow or peripheral blood was obtained from 111 children with relapsed ALL who were initially treated by using Taiwan Pediatric Oncology Group (TPOG) ALL protocols from January 1997 to May 2018. Mutations were detected by PCR and sequencing, as well as by multiplex ligation-dependent probe amplification to detect copy number alterations. Copy number and/or sequence alterations of TP53 were detected in 29% (28 of 98) and in 46% (6 of 13) of patients with relapsed B-cell and T-cell ALL, respectively. This incidence was much higher than that in several similar studies conducted in Caucasian populations. Seventy percent of all TP53 alterations were gained at relapse in 67 matched samples by back-tracking matched diagnostic samples. TP53 alterations were associated with lower 5-year event-free survival (EFS) and overall survival (OS) rates (P = .013 and P = .0002, respectively). Multivariate analysis confirmed the prognostic significance of TP53 alterations. Forty-five patients received hematopoietic stem-cell transplantations post-relapse. Patients with TP53 alterations (14/45) had inferior 5-year EFS and OS than patients without TP53 alterations after transplantation (P = .002 and P = .001, respectively). The significance of these TP53 alterations for patients who received transplantations was confirmed by multivariate analysis. In conclusion, TP53 alterations were enriched and useful as prognostic markers in relapsed childhood ALL.
© 2019 The Authors. Cancer Science published by John Wiley & Sons Australia, Ltd on behalf of Japanese Cancer Association.

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Keywords:  MLPA; TP53 alterations; Taiwan; relapse-acquired mutations; relapsed childhood ALL

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Substances:

Year:  2019        PMID: 31729120      PMCID: PMC6942420          DOI: 10.1111/cas.14238

Source DB:  PubMed          Journal:  Cancer Sci        ISSN: 1347-9032            Impact factor:   6.716


INTRODUCTION

Acute lymphoblastic leukemia (ALL) is the most common childhood malignancy, accounting for approximately 25% of childhood malignancies.1 Overall 5‐year event‐free survival (EFS) rate for this disease now exceeds 80% in developed countries;2, 3, 4 however, 10%‐20% of patients succumb to recurrences. The prognosis for relapsed ALL is dismal, even with aggressive salvage strategies.5 Thus, relapsed ALL remains a leading cause of cancer‐related deaths in children. Current comprehensive genome sequencing of triplicate diagnostic, remission, and relapsed samples from childhood ALL suggests that most relapsed patients have new, secondary genetic alterations or acquired lesions that likely occurred in a minor clone after the original diagnosis of ALL. One of the pathways enriched in recent relapse pair samples is TP53 mutations.6 TP53 mutations are infrequent (2%‐3%) at initial diagnosis and have not been found to be an important marker for prognosis or in the prediction of treatment response in most childhood ALL clinical trials.7, 8 However, TP53 alterations are frequently found in low‐hypodiploidy ALL, with a somatic mutation rate of up to 90%.9 The incidence of TP53 alterations is higher in relapsed childhood ALL samples than in diagnostic samples.10, 11 Back‐tracking studies showed that most TP53 genetic alterations were relapse‐specific,10 which was confirmed through whole exome sequencing.6 Numerous prognostic markers predict disease outcomes or relapse in newly diagnosed childhood ALL, especially B‐cell ALL.1, 3, 12, 13 TP53 alterations are important genetic events, but poor prognostic markers for relapsed childhood ALL in clinical trials.10, 11 After relapse, minimal residual disease measurements might be the only prognostic marker after reinduction of chemotherapy to predict survival after stem‐cell transplantation.14 TP53 relapse‐specific mutations were observed in approximately 10% of relapsed Caucasian patients.10, 11 However, there are currently few prognostic markers for relapsed patients that indicate a successful return to remission.5 The actual incidence of TP53 alterations in childhood ALL in Taiwan remains unknown. Therefore, we profiled the frequency of genetic alterations and impact of TP53 alterations on survival rate of relapsed childhood ALL patients treated with Taiwan Pediatric Oncology Group (TPOG) ALL protocols in a medical center in Taiwan.

MATERIALS AND METHODS

Patients and protocols

Bone marrow or peripheral blood samples taken at diagnosis, relapse, and/or clinical remission were available for 111 children with relapsed ALL; 98 with B‐cell ALL, and 13 with T‐cell ALL) from January 1997 to December 2015. These patients were enrolled in the TPOG ALL 93, ALL 97 very high risk (VHR), ALL 2002, or ALL 2013 protocols; details of these protocols have been published elsewhere.15 The TPOG ALL 2013 was modified from ALL 2002 by incorporating minimal residual disease (MRD) measurements to stratify treatment. After disease relapse, physicians used different protocols, including the Berlin Frankfurt Münster (BFM) relapse protocol, upgrade to TPOG VHR protocols or FLAG.5, 16, 17 This study was approved by the Institutional Review Board of National Taiwan University Hospital and all participants or their guardians provided written informed consent in accordance with the Declaration of Helsinki.

Genomic DNA extraction

Lymphoblasts were purified from bone marrow or peripheral blood specimens by the Ficoll‐Paque centrifugation method according to the manufacturer’s instructions (GE Healthcare). Genomic DNA was extracted from leukemic cells using standard phenol/chloroform‐based methods. Briefly, 1 million cells were lysed in 10 mmol/L Tris‐HCl, 10 mmol/L NaCl, 10 mmol/L EDTA, 20 μg proteinase K, and 0.5% SDS by incubating at 37°C for 16 hours. Total RNA was further removed by adding 500 μg PureLink RNase A (Invitrogen) and incubating for 10 minutes at 37°C. An equal volume of phenolchloroform‐isopropanol (25:24:1) was added to lysates and mixed by shaking vigorously, followed by centrifugation at 16 100 g at 4°C for 5 minutes. The upper aqueous phase was transferred to a fresh tube; genomic DNA was then precipitated by adding 2× volume −80°C 100% ethanol. The DNA pellet was washed with 75% ethanol and rehydrated with Tris‐EDTA buffer. Concentration of DNA was determined using a NanoDrop 1000 spectrophotometer (Thermo Fisher Scientific).

Mutation analysis of TP53

For TP53 (NG_017013) sequence analysis, coding regions were amplified using Phusion Hot Start II High‐Fidelity PCR Master Mix (Thermo Fisher Scientific). PCR was carried out as follows: 98°C for 30 seconds, then 38 cycles of 98°C for 30 seconds, annealing for 30 seconds and 72°C for 30 seconds, followed by a final extension at 72°C for 5 minutes. PCR products were confirmed using 2% agarose gel electrophoresis. We cleaned up the remaining PCR products by incubating with a reaction mixture of FastAP Thermosensitive Alkaline Phosphatase and exonuclease I (both Thermo Fisher Scientific) for 15 minutes at 37°C followed by 85°C for 15 minutes to inactivate the reaction. Sanger sequencing was done using an ABI 3730XL DNA analyzer (Applied Biosystems). The sequencing results aligned to the NCBI GenBank entry NM_000546 using SnapGene 4.1.3 software. Details of PCR, sequencing primers, and annealing temperatures are provided in Table S1.

Multiplex ligation‐dependent probe amplification

To detect structural alterations of TP53, multiplex ligation‐dependent probe amplification (MLPA) reactions were carried out according to the manufacturer’s instructions. The MRC‐Holland SALSA MLPA probe mix P056‐C1 kit (MRC Holland) was used. PCR fragments were separated by capillary electrophoresis on a Life Technologies 3500 genetic analyzer (Thermo Fisher Scientific). MLPA data were analyzed using Coffalyser.Net v.140721.1958 (MRC Holland). Relative copy numbers were determined after normalization of peaks against controls. Values between 0.75 and 1.3 were considered within the normal range. Values below 0.75 or above 1.3 implied a deletion or gain, respectively. Values below 0.25 indicated biallelic deletion.

Statistical analyses

Equality between categoric and continuous parameters was tested with the chi‐squared or Fisher’s exact tests. The Kaplan‐Meier method was used to estimate survival curves associated with TP53 alterations for relapsed ALL. The log‐rank test compared different survival curves between TP53 alterations and wild‐type ALL‐relapsed patients. EFS after first relapse was defined as the time from first relapse to any adverse events. OS was defined as time from diagnosis to death. Patients who did not suffer any adverse events within the follow‐up period were censored. EFS of patients with no response to chemotherapy (refractory), death, and second relapse in induction was set to 0. Statistical software SAS 9.4 (SAS Institute) was used for all data analysis. Univariate and multivariate Cox regression analyses were carried out to evaluate hazard ratios (HR) and 95% confidence intervals (CI) of risk factors. We inspected the associations between the presence of alterations and the value of clinical parameters. MRD was not included in the parameters, attributable to inadequate data. All tests were two‐sided, and values of P < .05 were considered significant.

RESULTS

Frequency and type of TP53 alterations in relapsed childhood ALL

Detailed clinical characteristics of the studied cohort are described in Table 1. To obtain the associations of TP53 alterations with different clinical, cytogenetic, and treatment parameters present at the time of relapse, these variables between patients with or without TP53 alterations and between TP53 alteration subgroups were compared statistically (Table 2). Hypodiploidy was enriched in TP53 alterations. However, there were more patients with KMT2A rearrangements and T‐cell ALL in relapsed cases with TP53 alterations than patients with ETV6RUNX1, hypodiploidy, and BCR‐ABL1.
Table 1

TP53 alterations in patients with first relapse of childhood acute lymphoblastic leukemia

Patient IDTypeMLPA results TP53 locus TP53 mutation by SangerExonCoding DNA positionBase changeCodon numberAA changeOrigin of alterationBMTOutcome
196BNDMissense5523G → A175R → HDiagnosisYesDeceased
331BNDMissense8800G → C267R → PRelapseNoDeceased
488TNDMissense7733G → A245G → SRelapseNoDeceased
549BNDMissense7725G → A242C → YRelapseYesDeceased
656BNDMissense7743G → A248R → QRelapseYesDeceased
306BNAMissense7743G → A248R → QSomaticNoDeceased
328BNAMissense8817C → T273R → COtherNoDeceased
438BNAInsertion8844‐8456nt insertion281‐282LV insertionRelapseYesDeceased
463BNAMissense5509C → T170T → MRelapseNoDeceased
508BNAMissense6583A → T195I → FGermlineNoDeceased
9001BNAMissense8844C → T282R → WOtherNoDeceased
85BND

Missense;

Missense

5;

8

527;

818

G → A;

G → A

176;

273

C → Y;

R → H

Relapse;

Relapse

YesDeceased
612BND

Missense;

Missense

7;

8

743;

799

G → A;

C → G

248;

267

R → Q;

R → G

Relapse;

Relapse

NoDeceased
682BND

Missense;

Missense

7;

8

743;

817

G → A;

C → T

248;

273

R → Q;

R → C

Relapse;

Relapse

YesDeceased
453TNAMissense7743G → C248R → PRelapseYesDeceased
522BNA

Missense;

Missense

5;

7

396;

743

G → T;

G → A

132;

248

K → N;

R → Q

Relapse;

Relapse

NoDeceased
9002BNAMissense7743G → A248R → QOtherNoDeceased
915TNA

Missense;

Missense;

Missense

5;

5;

7

404;

475;

731

G → A;

G → C;

G → C

135;

159;

244

C → Y;

A → P;

G → A

Somatic;

Somatic;

Somatic

YesDeceased
748BND

Missense;

Missense;

Missense

5;

8;

8

473;

791;

811

G → A;

T → G;

G → C

158;

264;

271

R → H;

L → R;

E → Q

Relapse;

Relapse;

Relapse

NoDeceased
353T11ND     RelapseNoDeceased
180B2‐11ND     OtherYesDeceased
657B2‐11ND     SomaticNoDeceased
753B2‐11ND     OtherNoDeceased
863B2‐11ND     OtherNoDeceased
368B2‐11ND     OtherYesDeceased
649B2‐11;10‐11ND     OtherYesDeceased
50B2‐11Missense7742C → T248R → WDiagnosisNoLiving
342T2‐11Missense7742C → T248R → WRelapseNoDeceased
630B2‐11Missense5524G → A175R → HRelapseYesDeceased
774B2‐11Frameshift1010221nt deletion341FrameshiftDiagnosisNoLiving
845B2‐11Nonsense5158G → A53W→*DiagnosisNoDeceased
641B2‐11Missense5482C → A161A → DRelapseYesDeceased
162B2‐11

Indels;

Indels

8;

8

818‐843;

821‐863

25nt deletion with 1nt insertion;

41nt deletion with 6nt insertion

274‐281;

274‐288

VCACPGRD deletion;

Frameshift

Somatic;

Somatic

YesDeceased
478T2‐11

Missense;

Nonsense

3;

4

91;

310

G → A;

C → T

31;

104

V → I;

Q→*

Relapse;

Germline

NoDeceased

Abbreviations: AA, amino acid; BMT, bone marrow transplantation; Indels, insertion with deletion; MLPA, multiplex ligation‐dependent probe amplification; NA, data not available; ND, not detected; nt, nucleotide.

Table 2

Clinical characteristics, genetics, and outcome of acute lymphoblastic leukemia relapsed patients with TP53 alterations

CharacteristicsAnalysis of patients with altered vs wild‐type TP53 Analysis of patients with mutated vs deleted vs mutated and deleted vs wild‐type TP53
Wild‐typeAlteration‐type P‐valueWild‐typeExclusive mutationExclusive deletionMutation and deletion P‐value
N%N%N%N%N%N%
All patients7710034100 771001910071008100 
Gender
Male4659.72264.7.6774659.71368.4342.9675.0.597
Female3140.31235.33140.3631.6457.1225.0
Age at relapse, years
<51215.58926.47.3881215.6421.1342.9225.511
≥5 and <102228.57926.472228.6736.8114.2112.5
≥104355.841647.064355.8842.1342.9562.5
Time to relapse
Very early3444.21955.9.0223444.21157.9457.1450.0.105
Early810.4823.5810.4526.3228.6112.5
Late3545.5720.63545.5315.8114.3337.5
ALL subtypes
T‐ALL79.09617.6.00579.09315.8114.3225.0.089
TCF3‐PBX1 11.312.911.315.300.000.0
11q2367.8720.667.8421.1114.3225.0
Hyperdiploidy56.512.956.515.300.000.0
BCR‐ABL1 56.500.056.500.000.000.0
ETV6‐RUNX1 67.825.967.8210.500.000.0
Hypodiploidy00.0411.800.015.3114.3225.0
Other4761.01338.24761.0736.8457.1225.0
BMT
None4659.72058.81.0004659.71157.9457.1562.51.000
BMT3140.31441.23140.3842.1342.9337.5

Abbreviations: ALL, acute lymphoblastic leukemia; BMT, bone marrow transplantation.

Time to relapse: very early, within 18 months from diagnosis to first relapse of ALL; early, between 18 months and 30 months from diagnosis to first relapse of ALL; late, more than 30 months from diagnosis to first relapse of ALL.

TP53 alterations in patients with first relapse of childhood acute lymphoblastic leukemia Missense; Missense 5; 8 527; 818 G → A; G → A 176; 273 C → Y; R → H Relapse; Relapse Missense; Missense 7; 8 743; 799 G → A; C → G 248; 267 R → Q; R → G Relapse; Relapse Missense; Missense 7; 8 743; 817 G → A; C → T 248; 273 R → Q; R → C Relapse; Relapse Missense; Missense 5; 7 396; 743 G → T; G → A 132; 248 K → N; R → Q Relapse; Relapse Missense; Missense; Missense 5; 5; 7 404; 475; 731 G → A; G → C; G → C 135; 159; 244 C → Y; A → P; G → A Somatic; Somatic; Somatic Missense; Missense; Missense 5; 8; 8 473; 791; 811 G → A; T → G; G → C 158; 264; 271 R → H; L → R; E → Q Relapse; Relapse; Relapse Indels; Indels 8; 8 818‐843; 821‐863 25nt deletion with 1nt insertion; 41nt deletion with 6nt insertion 274‐281; 274‐288 VCACPGRD deletion; Frameshift Somatic; Somatic Missense; Nonsense 3; 4 91; 310 G → A; C → T 31; 104 V → I; Q→* Relapse; Germline Abbreviations: AA, amino acid; BMT, bone marrow transplantation; Indels, insertion with deletion; MLPA, multiplex ligation‐dependent probe amplification; NA, data not available; ND, not detected; nt, nucleotide. Clinical characteristics, genetics, and outcome of acute lymphoblastic leukemia relapsed patients with TP53 alterations Abbreviations: ALL, acute lymphoblastic leukemia; BMT, bone marrow transplantation. Time to relapse: very early, within 18 months from diagnosis to first relapse of ALL; early, between 18 months and 30 months from diagnosis to first relapse of ALL; late, more than 30 months from diagnosis to first relapse of ALL. TP53 alterations were identified in 34 patients (31%). Within the B‐cell ALL relapse group, 28 patients (29%) had TP53 gene alterations: six (21%) had deletions in the absence of a mutation (referred to as an “exclusive deletion”), 16 (57%) had mutation(s) in the absence of a deletion (referred to as an “exclusive mutation”), and six (21%) had mutation(s) and deletion(s). In T‐cell ALL patients, TP53 alterations were identified in six patients (46%): three had an exclusive mutation, one had an exclusive deletion, and two had mutation(s) and a deletion (Figure 1A). TP53 P72R, a known polymorphism, exon 1 alterations, and intronic deletions were not evaluated in this study.
Figure 1

TP53 alterations in first relapse of childhood acute lymphoblastic leukemia (ALL). A, Frequency of TP53 alterations in patients with relapsed B‐cell and T‐cell ALL. B, Distribution of TP53 alterations detected by sequencing in relapsed B‐cell ALL and T‐cell ALL over TP53 coding regions. DNA‐binding domains involved in most TP53 sequence alterations. C, Retrospective copy number and sequence analysis of matched diagnostic and recurrent ALL samples from 67 patients with TP53 alterations at relapse. Bar chart shows the frequency of mutations at both stages of the disease

TP53 alterations in first relapse of childhood acute lymphoblastic leukemia (ALL). A, Frequency of TP53 alterations in patients with relapsed B‐cell and T‐cell ALL. B, Distribution of TP53 alterations detected by sequencing in relapsed B‐cell ALL and T‐cell ALL over TP53 coding regions. DNA‐binding domains involved in most TP53 sequence alterations. C, Retrospective copy number and sequence analysis of matched diagnostic and recurrent ALL samples from 67 patients with TP53 alterations at relapse. Bar chart shows the frequency of mutations at both stages of the disease TP53 alterations are summarized in Table 1. There were 25 missense mutations, four small indels, two exonic deletions, and deletion of the entire TP53 gene among them. No mutations were detected in the remaining coding region in patients with an exclusive TP53 deletion. The most frequent TP53 mutations were detected in the DNA‐binding domain (exons 5‐8) (Figure 1B). In morphological remission samples, we identified missense mutations in two patients (478 and 508). There were eight patients with more than one TP53 alteration. There were six patients with multiple mutations, six with single mutations and single deletions, and two with single deletions and multiple mutations.

TP53 alterations in matched diagnosis and relapsed patients

Diagnostic and relapse samples were available for 69 patients. Matched‐initial ALL samples were compared with those from relapsed patients with TP53 alterations to trace whether TP53 alterations were persistent or acquired between initial diagnosis and first relapse. Approximately 70% of all mutations and deletions (16 of 24) were relapse‐specific (Figure 1C). One patient acquired an exclusive deletion, seven patients acquired an exclusive mutation, and three patients acquired both a mutation and a deletion at relapse. Five patients had relapse‐specific mutations, but we lacked additional material to check for deletions of TP53. Seven patients had somatic mutations of the TP53 gene at first diagnosis. A single patient had both a mutation and a deletion at initial ALL diagnosis and acquired an additional mutation during relapse.

Relationships between TP53 alterations and clinical characteristics and survival rate

Five‐year EFS and OS were analyzed for patients with and without TP53 alterations. Five‐year EFS and OS were inferior in patients with TP53 alterations (P = .013 and P = .0002, respectively) after relapse (Figure 2). Of the 69 patients with paired samples, 5‐year EFS and OS were inferior in patients with TP53 alterations (P = .06 and P = .018, respectively) (Figure 3); the significance of TP53 alterations on the inferior survival of relapsed B‐cell ALL was similar (Figure S1). In T‐cell ALL, patients with TP53 alterations had inferior 5‐year EFS and OS, although the number of cases in this subgroup was small (Figure S2). Patients with TP53 alterations tended toward reinduction chemotherapy failure (Fisher’s exact test, P‐values .09 for the ALL cohort and .07 for the paired samples). Forty‐five patients received bone‐marrow transplantation as a rescue procedure; for them, TP53 alterations correlated with lower 5‐year EFS and OS (Figure 4).
Figure 2

Five‐year event‐free survival (EFS) and overall survival (OS) of relapsed acute lymphoblastic leukemia (ALL) with TP53 alterations. A, 5‐year EFS for relapsed ALL with TP53 wild‐type (WT) and TP53 alterations. B, 5‐year OS for relapsed ALL with TP53 WT and TP53 alterations

Figure 3

Five‐year event‐free survival (EFS) and overall survival (OS) of relapsed acute lymphoblastic leukemia (ALL) with TP53 alterations in 69 patients with paired samples. A, 5‐year EFS for relapsed ALL patients with TP53 wild‐type (WT) and TP53 alterations. B, 5‐year OS for relapsed ALL patients with TP53 WT and TP53 alterations

Figure 4

Comparison of bone marrow transplantation (BMT) therapy for 5‐year event‐free survival (EFS) and overall survival (OS) in relapsed acute lymphoblastic leukemia (ALL) patients with TP53 alterations. A, 5‐year EFS for relapsed ALL patients with TP53 wild‐type (WT) and TP53 alterations. B, 5‐year OS for relapsed ALL patients with TP53 WT and TP53 alterations

Five‐year event‐free survival (EFS) and overall survival (OS) of relapsed acute lymphoblastic leukemia (ALL) with TP53 alterations. A, 5‐year EFS for relapsed ALL with TP53 wild‐type (WT) and TP53 alterations. B, 5‐year OS for relapsed ALL with TP53 WT and TP53 alterations Five‐year event‐free survival (EFS) and overall survival (OS) of relapsed acute lymphoblastic leukemia (ALL) with TP53 alterations in 69 patients with paired samples. A, 5‐year EFS for relapsed ALL patients with TP53 wild‐type (WT) and TP53 alterations. B, 5‐year OS for relapsed ALL patients with TP53 WT and TP53 alterations Comparison of bone marrow transplantation (BMT) therapy for 5‐year event‐free survival (EFS) and overall survival (OS) in relapsed acute lymphoblastic leukemia (ALL) patients with TP53 alterations. A, 5‐year EFS for relapsed ALL patients with TP53 wild‐type (WT) and TP53 alterations. B, 5‐year OS for relapsed ALL patients with TP53 WT and TP53 alterations

Multivariate analysis

Cox univariate regression model identified TP53 alterations (HR = 1.7; 95% CI: 1.12‐2.58, P = .0130) and age at onset of <1 year (HR = 2.34; 95% CI: 1.19‐4.58, P = .014) as the strongest predictive factors for an unfavorable 5‐year‐EFS. Patients who received bone marrow transplantation (BMT) presented with better 5‐year EFS (HR = 0.49; 95% CI: 0.32‐0.73, P = .001) than those who did not (Table 3). Multivariate Cox regression analysis showed that TP53 alterations (HR = 1.52; 95% CI: 0.99‐2.31, P = .054) resulted in marginal statistical significance. However, age at onset of <1 year (HR = 2.74; 95% CI: 1.36‐5.52, P = .005) and BMT (HR = 0.46; 95% CI: 0.30‐0.70, P = .0003) were clinically significant (Table 3).
Table 3

Five‐year EFS and OS using univariate and multivariate survival analysis in relapsed pediatric ALL patients

 UnivariateMultivariate
HR95% CI P‐valueHR95% CI P‐value
5‐year EFS
TP53 alterations1.701.12‐2.58.0131.520.99‐2.31.054
Gender1.440.95‐2.17.0881.400.91‐2.14.127
Age (<1 y)2.341.19‐4.58.0142.741.36‐5.52.005
ALL type1.150.63‐2.10.6581.290.68‐2.44.430
BMT0.490.32‐0.73.0010.460.30‐0.70.0003
5‐year OS
TP53 alterations2.381.48‐3.84.00042.131.30‐3.47.003
Gender1.410.87‐2.29.1621.220.74‐2.00.438
Age (<1 y)4.072.02‐8.22<.00013.941.90‐8.15.0002
ALL type1.830.96‐3.48.0652.241.13‐4.46.021
BMT0.810.51‐1.30.3890.710.44‐1.16.173

Abbreviations: ALL, acute lymphoblastic leukemia; BMT, bone marrow transplantation; CI, confidence interval; EFS, event‐free survival; HR, hazard ratio; OS, overall survival. Mutation type (reference = TP53 wild‐type); Gender (reference = female); Age (reference = ≥1 y); ALL type (reference = T‐ALL).

Five‐year EFS and OS using univariate and multivariate survival analysis in relapsed pediatric ALL patients Abbreviations: ALL, acute lymphoblastic leukemia; BMT, bone marrow transplantation; CI, confidence interval; EFS, event‐free survival; HR, hazard ratio; OS, overall survival. Mutation type (reference = TP53 wild‐type); Gender (reference = female); Age (reference = ≥1 y); ALL type (reference = T‐ALL). TP53 alterations (HR = 2.38; 95% CI: 1.48‐3.84, P = .0004) and age at onset of <1 year (HR = 4.07; 95% CI: 2.02‐8.22, P < .0001) were the strongest predictive factors for an unfavorable 5‐year OS. Clinical significance was noted in patients with TP53 alterations (HR = 2.13; 95% CI: 1.30‐3.47, P = .003) and age at onset of <1 year (HR = 3.94; 95% CI: 1.90‐8.15, P = .0002; Table 3). Patients who received stem‐cell transplantation presented with a better 5‐year OS; however, this trend did not reach statistical significance. In patients who received BMT, TP53 alterations (HR = 2.93; 95% CI: 1.46‐5.87, P = .003) were identified as the strongest predictive factor for an unfavorable 5‐year EFS. TP53 alterations (HR = 2.88; 95% CI: 1.37‐6.07, P = .005) and age at onset of <1 year (HR = 3.05; 95% CI: 1.19‐7.79, P = .02) were clinically significant (Table S2).

DISCUSSION

Approximately 31% of relapsed childhood ALL cases harbor genetic alterations of TP53, and the TP53‐acquired alteration rate was 35% in sixty‐nine patients with diagnostic samples to backtrack mutations, which is higher than that observed in Caucasian populations. These alterations were associated with a higher rate of reinduction failure; most were relapse‐specific. The incidence of TP53 alterations has increased in relapsed childhood ALL over the incidence in diagnostic samples, which has been documented in several large clinical trials. Hof et al10 sequenced TP53 hot‐spot exons 5‐8 (DNA‐binding domain) and deletion status in 265 first‐relapsed childhood ALL patients, whereas Irving et al11 analyzed a larger cohort of relapsed childhood B‐cell ALL patients. These large international trials reported similar frequencies of TP53 alterations for relapsed B‐cell ALL, 11%‐12%. Richter‐Pechańska et al18 conducted another cohort study of relapsed T‐cell ALL patients, reporting that 13% of samples from relapsed T‐cell ALL patients harbored TP53 alterations; only 1.4% of the initial diagnostic samples had TP53 alterations. Our case number is approximately half of those of these recent studies; however, the results are similar to those of previous studies using small case numbers, irrespective of B‐cell or T‐cell ALL.19, 20, 21 The reason for the higher incidence of TP53 alterations in relapsed samples remains unknown, although we did not use next‐generation sequencing to target the sequences. TP53 alterations might be identified in other pediatric cancers, such as medulloblastoma, osteosarcoma, and rhabdomyosarcoma. However, this information is not available from Taiwanese patients; there are no reports of the incidence of somatic, acquired TP53 alterations or germline variants in childhood ALL or other pediatric malignancies. This is the first report of acquired somatic mutations in relapsed ALL patients in Taiwan. Given the much higher incidence of acquired TP53 alterations in childhood ALL, a larger clinical trial to detail the true somatic and germline variants of TP53 in other pediatric malignancies, particularly in relapsed samples, is worthy of investigation in Taiwan. The prognostic values of TP53 alterations have been documented in several large‐scale international clinical trials for relapsed childhood ALL. TP53 alterations are associated with nonresponse to chemotherapeutic treatment and poor EFS and OS.10 Most groups used time to relapse, relapse site, and cytogenetic alterations to define risk groups after recurrence.10 Patients with a TP53 alteration tended to have a very early relapse and should be classified and treated as high‐risk patients.11 Irrespective of the initial chemotherapy response, patients with TP53 alterations tend to have refractory disease, second relapses, and dismal outcomes. For relapsed T‐cell ALL, TP53 mutations were the best predictor of a second event in the cohort of Richter‐Pechańska.18 Almost all patients with TP53 alterations died of disease very soon after relapse, whereas patients without TP53 alterations survived. In this cohort, 47 patients received BMT; infant ALL patients apparently did not benefit from stem‐cell transplantation. Other treatment strategies might be indicated for this aggressive ALL.22, 23, 24 Our analyses suggest that somatic alteration of TP53 at relapse is a good predictor of transplantation outcomes. We identified two patients with TP53 mutations from remission samples, suggesting that these mutations were not somatic, but of germline origin. TP53 germline mutations are enriched in low‐hypodiploidy patients and are common in Li‐Fraumeni syndrome.9 TP53 germline mutations result in a poorer outcome than other common subtypes of childhood ALL, such as ETV6RUNX1 and hyperdiploidy. A recent study showed TP53 germline variants (not common mutations) also contribute to significant clinical outcomes.25 Excluding the low hypodiploidy subtype, which occurred in close relationship with TP53 germline mutations, children with TP53 pathogenic variants still experienced significantly worse outcomes than those without. There have also been studies investigating the significance of TP53 alterations in diagnostic ALL samples. Such alterations were profiled in B‐cell ALL by Forero‐Castro et al26 They reported that patients with TP53 alterations had lower 5‐year OS and EFS and higher relapse rates after multivariate analysis. In a study of 625 ALL patients by Stengel et al,27 overall TP53 mutation incidence was 16%, increasing with age. In addition to the low hypodiploidy subtype, TP53 mutations were also enriched in ALL with MYC rearrangements, recently classified as a subtype of B‐cell ALL.28 Stengel et al used next‐generation sequencing to profile the TP53 mutations. In addition to low hypodiploidy, high TP53 mutation loads also correlated with high hyperdiploidy and complex karyotypes. B‐cell ALL had a higher mutation load than T‐cell ALL. Median OS was significantly shorter for patients with TP53 mutations than for patients with wild‐type TP53.27 Although the clinical significance of diagnostic TP53 alterations requires validation in other childhood ALL clinical trials, TP53 alterations, including diagnostic, germline, and relapse alterations, might have clinical significance in childhood ALL and, therefore, warrant identification in future ALL clinical trials. Although TP53 alterations have clinical significance, it remains difficult to ablate poor clinical outcomes. Just as in other cancers, in childhood ALL, the most common TP53 missense mutations are detected in the DNA‐binding domain. This might result in accumulation of mutant p53 and poor therapy response, with inferior outcomes. Restoration of the wild‐type p53 protein or ablation of the mutant p53 protein might be a fruitful approach for targeting these TP53 alterations. In a preclinical patient‐derived TP53‐mutant ALL xenograft model by Demir et al, a small molecule, APR‐246, had a therapeutic effect and resulted in excellent leukemia‐free survival. Rebuilding tumor‐suppressive functions by targeting mutant p53 proteins seems to be a reasonable therapeutic strategy and is likely worth future clinical trials.29, 30 In conclusion, our findings indicate that TP53 alterations at relapse may be used as a molecular marker for therapeutic failure in relapsed pediatric ALL patients. The frequency of TP53 alterations at relapse in the present study was much higher than that reported in Caucasians. This finding shows the need for a larger prospective clinical trial in Taiwan. TP53 alterations may aid in future risk classification of children with relapsed ALL. Targeting of mutant p53 proteins might warrant further clinical trials as a treatment strategy.

CONFLICTS OF INTEREST

Authors declare no conflicts of interest for this article. Click here for additional data file. Click here for additional data file. Click here for additional data file. Click here for additional data file.
  31 in total

Review 1.  Pediatric acute lymphoblastic leukemia: where are we going and how do we get there?

Authors:  Ching-Hon Pui; Charles G Mullighan; William E Evans; Mary V Relling
Journal:  Blood       Date:  2012-06-22       Impact factor: 22.113

2.  Analysis of TP53 mutations in relapsed childhood acute lymphoblastic leukemia.

Authors:  J Gump; L McGavran; Q Wei; S P Hunger
Journal:  J Pediatr Hematol Oncol       Date:  2001-10       Impact factor: 1.289

3.  PAX5-driven subtypes of B-progenitor acute lymphoblastic leukemia.

Authors:  Zhaohui Gu; Michelle L Churchman; Kathryn G Roberts; Ian Moore; Xin Zhou; Joy Nakitandwe; Kohei Hagiwara; Stephane Pelletier; Sebastien Gingras; Hartmut Berns; Debbie Payne-Turner; Ashley Hill; Ilaria Iacobucci; Lei Shi; Stanley Pounds; Cheng Cheng; Deqing Pei; Chunxu Qu; Scott Newman; Meenakshi Devidas; Yunfeng Dai; Shalini C Reshmi; Julie Gastier-Foster; Elizabeth A Raetz; Michael J Borowitz; Brent L Wood; William L Carroll; Patrick A Zweidler-McKay; Karen R Rabin; Leonard A Mattano; Kelly W Maloney; Alessandro Rambaldi; Orietta Spinelli; Jerald P Radich; Mark D Minden; Jacob M Rowe; Selina Luger; Mark R Litzow; Martin S Tallman; Janis Racevskis; Yanming Zhang; Ravi Bhatia; Jessica Kohlschmidt; Krzysztof Mrózek; Clara D Bloomfield; Wendy Stock; Steven Kornblau; Hagop M Kantarjian; Marina Konopleva; Williams E Evans; Sima Jeha; Ching-Hon Pui; Jun Yang; Elisabeth Paietta; James R Downing; Mary V Relling; Jinghui Zhang; Mignon L Loh; Stephen P Hunger; Charles G Mullighan
Journal:  Nat Genet       Date:  2019-01-14       Impact factor: 38.330

4.  Clinical significance of p53 mutations in relapsed T-cell acute lymphoblastic leukemia.

Authors:  M B Diccianni; J Yu; M Hsiao; S Mukherjee; L E Shao; A L Yu
Journal:  Blood       Date:  1994-11-01       Impact factor: 22.113

Review 5.  Relapsed childhood acute lymphoblastic leukaemia.

Authors:  Deepa Bhojwani; Ching-Hon Pui
Journal:  Lancet Oncol       Date:  2013-05       Impact factor: 41.316

6.  Prognostic value of minimal residual disease quantification before allogeneic stem-cell transplantation in relapsed childhood acute lymphoblastic leukemia: the ALL-REZ BFM Study Group.

Authors:  Peter Bader; Hermann Kreyenberg; Günter H R Henze; Cornelia Eckert; Miriam Reising; Andre Willasch; Andrea Barth; Arndt Borkhardt; Christina Peters; Rupert Handgretinger; Karl-Walter Sykora; Wolfgang Holter; Hartmut Kabisch; Thomas Klingebiel; Arend von Stackelberg
Journal:  J Clin Oncol       Date:  2008-12-08       Impact factor: 44.544

7.  Rise and fall of subclones from diagnosis to relapse in pediatric B-acute lymphoblastic leukaemia.

Authors:  Xiaotu Ma; Michael Edmonson; Donald Yergeau; Donna M Muzny; Oliver A Hampton; Michael Rusch; Guangchun Song; John Easton; Richard C Harvey; David A Wheeler; Jing Ma; HarshaVardhan Doddapaneni; Bhavin Vadodaria; Gang Wu; Panduka Nagahawatte; William L Carroll; I-Ming Chen; Julie M Gastier-Foster; Mary V Relling; Malcolm A Smith; Meenakshi Devidas; Jaime M Guidry Auvil; James R Downing; Mignon L Loh; Cheryl L Willman; Daniela S Gerhard; Charles G Mullighan; Stephen P Hunger; Jinghui Zhang
Journal:  Nat Commun       Date:  2015-03-19       Impact factor: 14.919

8.  Mutations in TP53 and JAK2 are independent prognostic biomarkers in B-cell precursor acute lymphoblastic leukaemia.

Authors:  Maribel Forero-Castro; Cristina Robledo; Rocío Benito; Irene Bodega-Mayor; Inmaculada Rapado; María Hernández-Sánchez; María Abáigar; Jesús Maria Hernández-Sánchez; Miguel Quijada-Álamo; José María Sánchez-Pina; Mónica Sala-Valdés; Fernanda Araujo-Silva; Alexander Kohlmann; José Luis Fuster; Maryam Arefi; Natalia de Las Heras; Susana Riesco; Juan N Rodríguez; Lourdes Hermosín; Jordi Ribera; Mireia Camos Guijosa; Manuel Ramírez; Cristina Díaz de Heredia Rubio; Eva Barragán; Joaquín Martínez; José M Ribera; Elena Fernández-Ruiz; Jesús-María Hernández-Rivas
Journal:  Br J Cancer       Date:  2017-05-30       Impact factor: 7.640

9.  TP53 alterations in relapsed childhood acute lymphoblastic leukemia.

Authors:  Chih-Hsiang Yu; Wan-Ting Chang; Shiann-Tarng Jou; Tze-Kang Lin; Ya-Hsuan Chang; Chien-Yu Lin; Kai-Hsin Lin; Meng-Yao Lu; Shu-Huey Chen; Kang-Hsi Wu; Shih-Chung Wang; Hsiu-Hao Chang; Yi-Ning Su; Chia-Cheng Hung; Dong-Tsamn Lin; Hsuan-Yu Chen; Yung-Li Yang
Journal:  Cancer Sci       Date:  2019-12-05       Impact factor: 6.716

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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  8 in total

1.  Chemotherapy and mismatch repair deficiency cooperate to fuel TP53 mutagenesis and ALL relapse.

Authors:  Fan Yang; Samuel W Brady; Chao Tang; Huiying Sun; Lijuan Du; Malwine J Barz; Xiaotu Ma; Yao Chen; Houshun Fang; Xiaomeng Li; Pandurang Kolekar; Omkar Pathak; Jiaoyang Cai; Lixia Ding; Tianyi Wang; Arend von Stackelberg; Shuhong Shen; Cornelia Eckert; Jeffery M Klco; Hongzhuan Chen; Caiwen Duan; Yu Liu; Hui Li; Benshang Li; Renate Kirschner-Schwabe; Jinghui Zhang; Bin-Bing S Zhou
Journal:  Nat Cancer       Date:  2021-07-22

2.  MLPA and DNA index improve the molecular diagnosis of childhood B-cell acute lymphoblastic leukemia.

Authors:  Chih-Hsiang Yu; Tze-Kang Lin; Shiann-Tarng Jou; Chien-Yu Lin; Kai-Hsin Lin; Meng-Yao Lu; Shu-Huey Chen; Chao-Neng Cheng; Kang-Hsi Wu; Shih-Chung Wang; Hsiu-Hao Chang; Meng-Ju Li; Yu-Ling Ni; Yi-Ning Su; Dong-Tsamn Lin; Hsuan-Yu Chen; Christine J Harrison; Chia-Cheng Hung; Shu-Wha Lin; Yung-Li Yang
Journal:  Sci Rep       Date:  2020-07-13       Impact factor: 4.379

3.  TP53 alterations in relapsed childhood acute lymphoblastic leukemia.

Authors:  Chih-Hsiang Yu; Wan-Ting Chang; Shiann-Tarng Jou; Tze-Kang Lin; Ya-Hsuan Chang; Chien-Yu Lin; Kai-Hsin Lin; Meng-Yao Lu; Shu-Huey Chen; Kang-Hsi Wu; Shih-Chung Wang; Hsiu-Hao Chang; Yi-Ning Su; Chia-Cheng Hung; Dong-Tsamn Lin; Hsuan-Yu Chen; Yung-Li Yang
Journal:  Cancer Sci       Date:  2019-12-05       Impact factor: 6.716

4.  Targeted sequencing to identify genetic alterations and prognostic markers in pediatric T-cell acute lymphoblastic leukemia.

Authors:  Ya-Hsuan Chang; Chih-Hsiang Yu; Shiann-Tarng Jou; Chien-Yu Lin; Kai-Hsin Lin; Meng-Yao Lu; Kang-Hsi Wu; Hsiu-Hao Chang; Dong-Tsamn Lin; Shu-Wha Lin; Hsuan-Yu Chen; Yung-Li Yang
Journal:  Sci Rep       Date:  2021-01-12       Impact factor: 4.379

5.  [The role and research progress of NOTCH1 in T-cell acute lymphoblastic leukemia].

Authors:  S S Guo; J Q Mi; J Wang
Journal:  Zhonghua Xue Ye Xue Za Zhi       Date:  2021-02-14

6.  Prognostic Significance of Comprehensive Gene Mutations and Clinical Characteristics in Adult T-Cell Acute Lymphoblastic Leukemia Based on Next-Generation Sequencing.

Authors:  Hua Yin; Mei Hong; Jun Deng; Lan Yao; Chenjing Qian; Yao Teng; Tingting Li; Qiuling Wu
Journal:  Front Oncol       Date:  2022-02-24       Impact factor: 6.244

7.  Obesity as a Prognostic Factor of Central Nervous System Relapse in Children with Acute Lymphoblastic Leukemia: A Single-Centre Study and Literature Review.

Authors:  Guo-Qian He; Yi-Ling Dai; Ming-Yan Jiang; Ju Gao; Xia Guo
Journal:  Evid Based Complement Alternat Med       Date:  2022-03-21       Impact factor: 2.629

8.  Optimizing therapy in the modern age: differences in length of maintenance therapy in acute lymphoblastic leukemia.

Authors:  David T Teachey; Stephen P Hunger; Mignon L Loh
Journal:  Blood       Date:  2021-01-14       Impact factor: 22.113

  8 in total

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