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Cytogenomic characterization of pediatric T-cell acute lymphoblastic leukemia reveals TCR rearrangements as predictive factors for exceptional prognosis

Molecular Cytogenetics volume 17, Article number: 14 (2024) Cite this article

Abstract

Background

T-cell acute lymphoblastic leukemia (T-ALL) represents a rare and clinically and genetically heterogeneous disease that constitutes 10–15% of newly diagnosed pediatric ALL cases. Despite improved outcomes of these children, the survival rate after relapse is extremely poor. Moreover, the survivors must also endure the acute and long-term effects of intensive therapy. Although recent studies have identified a number of recurrent genomic aberrations in pediatric T-ALL, none of the changes is known to have prognostic significance. The aim of our study was to analyze the cytogenomic changes and their various combinations in bone marrow cells of children with T-ALL and to correlate our findings with the clinical features of the subjects and their treatment responses.

Results

We performed a retrospective and prospective comprehensive cytogenomic analysis of consecutive cohort of 66 children (46 boys and 20 girls) with T-ALL treated according to BFM-based protocols and centrally investigated cytogenetics and immunophenotypes. Using combinations of cytogenomic methods (conventional cytogenetics, FISH, mFISH/mBAND, arrayCGH/SNP and MLPA), we identified chromosomal aberrations in vast majority of patients (91%). The most frequent findings involved the deletion of CDKN2A/CDKN2B genes (71%), T-cell receptor (TCR) loci translocations (27%), and TLX3 gene rearrangements (23%). All chromosomal changes occurred in various combinations and were rarely found as a single abnormality. Children with aberrations of TCR loci had a significantly better event free (p = 0.0034) and overall survival (p = 0.0074), all these patients are living in the first complete remission. None of the abnormalities was an independent predictor of an increased risk of relapse.

Conclusions

We identified a subgroup of patients with TCR aberrations (both TRA/TRD and TRB), who had an excellent prognosis in our cohort with 5-year EFS and OS of 100%, regardless of the presence of other abnormality or the translocation partner. Our data suggest that escalation of treatment intensity, which may be considered in subsets of T-ALL is not needed for nonHR (non-high risk) patients with TCR aberrations.

Introduction

T-cell acute lymphoblastic leukemia (T-ALL) is a clinically and genetically heterogeneous disease that constitutes 10–15% of all newly diagnosed pediatric ALL cases [1, 2]. It is slightly more frequent in males than females [2] and is caused by the accumulation of genetic lesions that alter the mechanisms controlling normal T-cell proliferation, differentiation, and survival during thymocyte development [3,4,5].

Historically, the outcomes for children with T-ALL were inferior to those for children with B-cell acute lymphoblastic leukemia (B-ALL). However, the development of intensified T-ALL-focused protocols has significantly improved the outcomes of these children [6], with a 5-year overall survival rate exceeding 80% [1, 7, 8]. Despite the improved survival rates, ∼ 20% of patients relapse and die owing to acquired therapy resistance. The treatment of relapse is still clinically challenging [9,10,11], and current efforts are directed primarily toward early identification of high-risk children during treatment and the prevention of recurrent disease. Survivors also endure the acute and long-term effects of intensive toxic chemotherapy. Therefore, it is extremely important to identify those patients who might benefit from reduced-intensity chemotherapy [12].

The cytogenomic abnormalities in pediatric T-ALL are heterogeneous and diverse [1], and they are cryptic on the cytogenetic level in ∼ 50% of cases. The most frequent translocations involve the T-cell receptor (TCR) loci TRA/TRD (14q11) and TRB (7q34), leading to the overexpression of protooncogenes such as TLX1 (10q24), TAL1 (1p33), TAL2 (9q31), LMO1 (11p15.1), LMO2 (11p13), HOXA (7p15), and MYC (8q24). Other chromosomal aberrations lead to the formation of fusion genes encoding abnormal transcription factors. These include the del(1)(p32), t(5;14)(q35;q32), t(10;11)(p13;q14), and 9q34 rearrangements, resulting in SIL::TAL1, TLX3::BCL11B, PICALM::MLLT10, and NUP214::ABL1 fusions, respectively. Finally, deletions of tumor suppressor loci are commonly found in children with T-ALL, with the deletion of the 9p21 locus (CDKN2A/CDKN2B genes) most frequently observed.

Although multiple recurrent genomic aberrations have been identified, none independently predict the outcome of T-ALL and they are not used prospectively in risk stratification [4, 13,14,15,16,17]. Currently, the response to treatment, determined primarily by assessing the minimal residual disease (MRD), is the strongest predictor of outcome for patients with T-ALL [7, 18, 19]. However, most relapses occur in patients who would be predicted to do well based on a favorable MRD response [1], so the search for predictive genetic or clinical markers in pediatric T-ALL is ongoing. Therefore, the aim of our study was to analyze the cytogenomic changes and their various combinations in 66 children with T-ALL treated according to Berlin–Frankfurt–Münster (BFM)-based protocols, and to correlate our findings with the clinical features of the subjects and their treatment responses.

Materials and methods

Patients

The bone-marrow samples of consecutive 66 children with T-ALL and their centrally investigated cytogenetics and immunophenotypes were examined in 1996–2017. The clinical characteristics and outcomes of the patients are summarized in Table 1. The study group included 46 boys (69.7%) and 20 girls (30.3%) with a median age of 7.9 years (range 1.1–18.3 years), treated according to BFM-based protocols. Immunophenotypic data classified the patients into pre-T (n = 14), cortical-T (n = 28), mature-T (n = 19), and early-T groups (n = 2) based on the European Group for the Immunological Classification of Leukemia (EGIL) criteria [20]. White blood cell (WBC) counts were 3.9–765.1 × 109/L (median 73.5 × 109/L). Forty-two patients were classified as non-high risk (nonHR) and 21 as high risk (HR). Follow-up ranged from 0.3 to 298.6 months (median 86.4 months). Of the 66 patients, 48 are living in first remission (CR1; 45 patients) or second complete remission (CR2; three patients). Relapse occurred in 17 patients and 18 children died. Thirteen patients underwent allogeneic stem-cell transplantation (four of them are living in CR1, three in CR2, and six patients died). Four children developed secondary malignancy (two secondary AML, one secondary MDS, and one glioblastoma). Samples from all patients were analysed with conventional cytogenetic analyses at the time of diagnosis. Retrospective or prospective molecular cytogenomic methods (fluorescence in situ hybridization [FISH]/multicolor FISH [mFISH], multiplex ligation-dependent probe amplification [MLPA], array comparative genomic hybridization/single-nucleotide polymorphism [aCGH/SNP]) were also used to detect cryptic aberrations or complex chromosomal rearrangements. Informed consent for inclusion in the study was obtained from the patients’ parents or guardians.

Table 1 Clinical characteristics
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Conventional cytogenetics

Bone-marrow samples were cultured for 24 and/or 48 h in MarrowGrow Medium (Cytogen, GmbH, Wetzlar, Germany) without stimulation. Chromosomal preparations were made with standard techniques using colcemid, hypotonic treatment, fixation, and G-banding. Twenty metaphases were analyzed per patient, if available. Chromosomal aberrations were described according to the International System for Human Cytogenomic Nomenclature [21].

Molecular cytogenetics

To detect the most frequent known chromosomal changes, interphase FISH with commercially available locus-specific probes was used: CytoCell TCRAD Breakapart, CytoCell TCRB (TRB) Breakapart, CytoCell TLX3 Breakapart, and CytoCell TLX1 Breakapart probes (CytoCell, Cambridge, UK), Vysis LSI CDKN2A/CEP 9 FISH Probe Kit, and Vysis LSI BCR/ABL1 DC DF Translocation Probe (Abbott Molecular Diagnostics, Des Plaines, IL, US). At least 200 interphase nuclei were analyzed per probe.

An MLPA analysis with SALSA MLPA Probemix ALL-IKZF1 (MRC-Holland, Amsterdam, the Netherlands) was used to detect deletions and amplifications of the IKZF1, CDKN2A/CDKN2B, PAX5, ETV6, BTG1, and RB1 genes when fixed material was available for DNA isolation (50/66 cases).

Complex chromosomal rearrangements were confirmed with multicolor FISH and multicolor banding using 24XCyte and XCyte color kits and an ISIS computer analysis system (MetaSystems, Altlussheim, Germany). In some cases, the aCGH/SNP technique, with the Sure Print G3 Cancer CGH + SNP 4 × 180 K Microarray (Agilent Technologies, Santa Clara, CA, US), was used to detect copy number changes.

Statistical analysis

Differences in overall survival (OS) and event-free survival (EFS) were assessed using the Kaplan–Meier method and the Mantel–Cox test. EFS was calculated as the time between the date of diagnosis and the date of any event that was defined as “relapse” or “second neoplasm” or “death”, whichever occurred first. Cases with no event were censored at the date of the last follow-up. OS was measured from diagnosis to death or the last follow-up.

Results

Cytogenomic analyses

Samples of all 66 children were analyzed using conventional cytogenetic analyses. Informative karyotypic results were obtained in 58 (88%) cases, and 36 of these 58 subjects (62%) were cytogenetically abnormal. Structural aberrations were found in most of these patients, whereas numerical abnormalities were detected in only four cases. Tetraploidy was confirmed in two patients and complex karyotypes (including three or more aberrations) in seven cases.

Using FISH and other cytogenomic methods, chromosomal aberrations were detected in 60/66 (91%) patients. The most frequent aberrations were deletions of the CDKN2A gene (in 47 [71%] patients), rearrangements of TCR loci (TRA/TRD and/or TRB) in 16 (27%) children, and TLX3 gene rearrangements in 15 (23%) cases. Translocations involving the TRA/TRD locus were demonstrated in nine cases. In five of these patients, known recurrent chromosomal translocations were detected: t(8;14)(q24;q11), t(11;14)(p13;q11), t(1;14)(p32;q11), and t(10;14)(q24;q11)x2, involving the oncogenes MYC (8q24), LMO2 (11p13), TAL1 (1p32), and TLX1 (10q24), respectively. In the remaining four cases, the TRA/TRD rearrangements were cryptic. Of the five patients with rearrangements at the TRB locus, the partner chromosomes and oncogenes were identified in three cases: ins(1;7)(p32;q34q34), t(7;11)(q34;p13), and t(7;9)(q34;q32), affecting TAL1 (1p32), LMO2 (11p13), and TAL2 (9q31) gene, respectively. The simultaneous occurrence of TRA/TRD and TRB translocations was detected in two patients, in one of whom translocations t(1;7)(p32;q34) and t(11;14)(p13;q11) were found. In the second case, the TCR aberrations were part of a complex karyotype. The commonest fusion involving the TLX3 gene (BCL11B::TLX3), resulting from translocation t(5;14)(q35;q32), was detected in two patients. In the remaining 12 patients with a TLX3 gene rearrangement, the chromosomal partner was not identified because these aberrations were cryptic.

Other recurrent aberrations included deletions or amplifications involving the ABL1 (9q34) gene (8x), JAK2 (9p24) gene (5x), PAX5 (9p13) gene (4x), and ETV6 (12p13) gene (5x). In two of these cases, an isochromosome of the long arm of chromosome 9 was detected, leading to the loss of 9p and the amplification of 9q. Karyotype of this patient analyzed by cytogenomic methods is shown in Fig. 1. In one case, a large deletion of the short arm of chromosome 12 was detected with conventional cytogenetic methods. In the remaining patients, the rearrangements of these genes were cryptic. The most frequent aberrations and their types are summarized in Fig. 2.

Fig. 1
figure 1

Complex karyotype analyzed by mFISH (A), I-FISH: CytoCell TCRAD Breakapart Probe (B) and mBAND (C): 47,XY,+8,i(9)(q10),t(10;14)(q24;q11)

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Fig. 2
figure 2

Cytogenomic profiles

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All chromosomal changes occurred in various combinations and were rarely found as a single abnormality. However, TLX3 aberrations never appeared with rearrangements at TCR loci. Combinations of the most frequent aberrations are show in Fig. 3.

Fig. 3
figure 3

The Venn diagram showing combinations of the most frequent aberrations

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Clinical features and outcomes

The clinical characteristics of the patients, stratified according to the results of conventional cytogenetics and the most frequent chromosomal aberrations detected with cytogenomic methods, are summarized in Table 2. The level of MRD determined by IgH/TCR rearrangements with reverse transcription polymerase chain reaction (RT-PCR) is not shown as it was not available for all patients (MRD measurement using IgH/TCR rearrangements was not involved in older treatment protocols). There were no significant differences among the various cytogenetic subgroups and clinical factors such as sex, age, or WBC count. However, all children with rearrangements at TCR loci (TRA/TRD and TRB) were nonHR patients with cortical or mature immunophenotypes.

Table 2 Clinical data and outcomes according to the most frequent chromosomal aberrations
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The associations between EFS or OS and particular cytogenomic aberrations were analyzed. The patients were divided into three groups based on conventional karyotyping: normal karyotype, abnormal karyotype (one or two aberrations), or complex karyotype (three or more aberrations). There were no significant differences between the various cytogenetic subgroups in EFS or OS. According to the commonest chromosomal abnormalities found with cytogenomic methods (TCR loci rearrangements, CDKN2A deletions, and TLX3 translocations), the patients were stratified into group with or without the aberration. Significantly better EFS (p = 0.0034) and OS (p = 0.0074) were observed in children with TCR locus rearrangements (TRA/TRD and/or TRB), Fig. 4. There were no events in this group of patients. An analysis of CDKN2A deletions and TLX3 aberrations showed that neither EFS nor OS differed significantly in patients with and without these abnormalities (CDKN2A pEFS = 0.81 and CDKN2A pOS = 0.8; TLX3 pEFS = 0.46 and TLX3 pOS = 0.19). Because all patients with TCR rearrangements were nonHR, a separate survival analysis of these risk groups was performed. There was no significant difference in EFS between the HR and nonHR patients (p = 0.22). However, in the overall survival analysis, a difference was detected at the cut-off level for significance (p = 0.054).

Fig. 4
figure 4

Overall (A) and event free (B) survival of patients with (red) and without (green) TCR rearrangements

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Discussion

Recent studies of T-ALL biology based on contemporary cytogenomic assays have identified a number of recurrent lesions and clearly improved the characterization of pediatric T-ALL. However, these have altered neither risk stratification nor treatment because none of the identified changes is known to have prognostic significance under current treatment protocols [22, 23]. In the present study, we performed a comprehensive cytogenomic analysis of 66 children with T-ALL, and we correlated our findings with the clinical data and treatment responses. We identified the chromosomal alterations in the vast majority of patients (91%). As expected, the commonest findings involved the deletion of the CDKN2A/CDKN2B genes (71%), TCR locus translocations (27%), and TLX3 gene rearrangements (23%). Patients in our cohort with TCR aberrations, either TRA/TRD or TRB, had excellent prognoses (pEFS = 0.0034 and pOS = 0.0074, with 5-year OS 100%). The clinical characteristics of the patients were consistent with those of previous larger series, with a median age of 7.9 years, male predominance, and a median WBC count of 73.5 × 109/L [24].

The range of genetic abnormalities in pediatric T-ALL is diverse, and multiple oncogenes and tumor suppressor genes cooperate to alter the mechanisms controlling normal T-cell development. Despite this significant heterogeneity, most aberrations can be classified into two distinct categories. The first includes chromosomal translocations that arrest T-cell development at a specific maturation stage and are associated with a distinct gene expression signature. The second category includes deletions and mutations that affect signaling and/or cell-cycle pathways and are often present in combination with chromosomal translocations [4, 16, 25, 26].

The first group includes rearrangements that juxtapose TCR genes and protooncogenes that encode pivotal transcription factors. These aberrations are the main factors initiating the events in T-ALL carcinogenesis, whereas gene mutations and deletions are secondary and are important in clonal evolution and overt leukemia [24]. Consistent with previously published data [2, 24, 27], TCR rearrangements were the commonest chromosomal translocations in this series, detected in 27% of patients. The TRA/TRD and TRB genes were affected in nine and five patients, respectivelyA rare simultaneous occurrence of rearrangements at the TRA/TRD and TRB loci in one pathological clone was detected in two patients and both TCR genes targeted different T-cell oncogenes in these cases. Cauwelier et al. [28] have shown that as many as half of all TRB rearrangements and about one third of TRA/TRD rearrangements are not detected in karyotype analyses. Altogether, we did not detect the TCR aberrations with conventional karyotyping in seven patients. This could be explained by the distal localization of the breakpoint loci on the partner chromosomes (especially for the TRB rearrangements) or by the presence of complex karyotypes in these cases. We suggest that nonleukemic cells were cultivated in some patients because these aberrations were only detected in interphase nuclei. Given the published data, the prognostic significance of TCR rearrangements is generally unclear. However, according to some authors, the prognosis depends on translocation partner [29]. In most studies, aberrations involving the TLX1 and TAL1 genes were associated with favorable outcome [14, 29,30,31,32], while the prognosis of other TCR translocations was unknown [17, 32,33,34]. Nevertheless, according to Nordic Study [24] of 285 pediatric T-ALL cases, rare TCR aberrations including t(X;14)(p11;q11), t(X;7)(q22;q34), t(1;14)(p32;q11), ins(14;5)(q11;q? q?), inv(7)(p15q34), t(8;14)(q24;q11), t(7;11)(q34;p15) and t(12;14)(p13;q11), were associated with poor prognosis. Although we found two of these aberrations in our cohort, i.e. t(1;14)(p32;q11) and t(8;14)(q24;q11), all TCR rearrangements were associated with clinically favorable outcome (5-year OS of 100%) in this study.

The other common translocations included the TLX3 gene, a homeobox gene that is not expressed in normal T-cell development [33]. These aberrations occur in around 20–25% of T-ALL, and the TLX3 gene is aberrantly activated by various cryptic translocations, including t(5;14)(q35;q32), which juxtapose TLX3 with BCL11B, a gene expressed during T-cell maturation [25, 34, 35]. Consistent with these findings, we detected TLX3 gene aberrations in 23% of the patients and demonstrated t(5;14) in two of them. Some alternative TLX3 aberrations have been described involving the TRA/TRD locus [36]. However, in our cohort, no TLX3 rearrangements involving TCR loci were detected, confirming the very rare occurrence of this abnormality (˂1% of cases). Conflicting data have been reported about TLX3 rearrangements and prognosis. In some studies, patients with TLX3 aberrations had a poor prognosis, with 3-year survival rates of 45–50% [32, 37], whereas in other studies, TLX3 translocations were associated with an improved outcome or had no effect on the prognosis [5, 30, 38]. In our series, the 5-year EFS was 51.4%, which was the lowest EFS of all cytogenomic categories compared (see Table 2.). However, it did not differ significantly from that of patients without TLX3 rearrangements (p = 0.19). The data for TLX3-positive T-ALL leukemias are clearly variable, possibly due to differences in treatment protocols, the sizes of cohorts, or the presence of additional genetic abnormalities.

In agreement with other studies [17, 27, 39, 40], CDKN2A/CDKN2B deletions were the most frequent cytogenomic aberrations detected (in 71% of patients). These genes exert a tumor suppressor effect, and their inactivation leads to uncontrolled neoplastic proliferation. We detected homozygous (biallelic) deletionsin 30 of 47 patients. In the remaining 17 children, in whom the heterozygous (monoallelic) deletion was found, the inactivation of the second allele was probably by mutation or epigenetic silencing by hypermethylation of the promoter, as previously described [41, 42]. The prognostic value of the CDKN2A/CDKN2B gene deletion and its association with some clinical features are highly contentious. Some authors have described a significantly lower survival rate, older age at diagnosis, or higher WBC count in patients with this deletion. However, other studies as well as ours have reported that the prognosis of patients with this deletion is unclear [42,43,44]. These cases probably formed a heterogeneous group of patients, with a number of other chromosomal aberrations. Moreover, the deletion of these genes is not restricted to T-cell leukemia. Therefore, we assume that CDKN2A/CDKN2B aberrations reflect a general mechanism of cancer rather than a specific prognostic group of children with T-ALL.

A wide spectrum of deletions and amplifications of genes affecting crucial signaling pathways has already been described in pediatric T-ALL [13]. We detected the gain of the ABL1 gene in eight patients. Surprisingly, we detected no ABL1::NUP214 fusion in our cohort, which is described in ∼ 5% of T-ALL patients [45]. However, the assessment of ABL1 rearrangements in pediatric T-ALL is important because treatment with tyrosine kinase inhibitors is possible [22, 45]. We identified deletions of the transcription factor genes ETV6 and PAX5 in five and four patients, respectively. Although these genes are involved primarily in B-cell proliferation and differentiation, consistent with other studies, we suggest that the loss of their functions also plays a significant role in T-ALL [7, 46]. Advances in next-generation sequencing (NGS) have identified mutations in several genes that also play a significant role in the pathogenesis of T-ALL and could be used for stratifying patients with this rare and genetically heterogeneous disease. In particular, the mutational status of PI3K, NOTCH, FBXW7, PTEN, KRAS and RAS genes is likely to be of prognostic significance and could update risk classification [15, 17, 47, 48]. Although sequencing data are not available in this retrospective study, integrating comprehensive genomic testing, including chromosomal aberrations and mutational profiles, is important for future research studies and subsequent risk stratification and tailoring of treatment options. We detected cytogenomic aberrations in the vast majority of children in our cohort and showed that they occurred more often in various combinations than individually, confirming the multistep process of T-ALL pathogenesis. It is assumed that chromosomal aberrations initiate the process of carcinogenesis, but without accompanying copy number changes, they are not responsible for the formation of leukemic cells [13]. In our cohort, all changes occurred in various combinations, although TLX3 rearrangements never occurred with TCR locus abnormalities. This corresponded to the different survival rates of patients with these two aberrations in our study. By contrast, the CDKN2A gene was deleted in all patients with PAX5 and JAK2 gene deletions, which is consistent with other studies that have shown the statistically significant co-occurrence of these deletions [7, 49, 50].

Conclusion

In conclusion, we have demonstrated that pediatric T-ALL represents a rare and highly genetically heterogeneous disease. Although the outcomes of these children have improved significantly in recent decades, the survival rate after relapse is still extremely poor. Moreover, the survivors must also endure the acute and long-term effects of intensive toxic chemotherapy. Because there is no reliable biomarker to identify these groups of patients at the time of diagnosis, we used comprehensive cytogenomic techniques to analyze bone marrow samples of 66 children with T-ALL. In almost all patients, we found a number of genetic aberrations that occurred in various combinations. However, none of these abnormalities was an independent predictor of an increased risk of relapse. Nevertheless, we identified a subgroup of patients with TCR aberrations (both TRA/TRD and TRB), who had an excellent prognosis in our cohort (5-year OS of 100%). We hypothesize that escalation of treatment intensity, which may be considered in subsets of T-ALL is not needed for nonHR patients with TCR aberrations.

Data availability

No datasets were generated or analysed during the current study.

References

  1. Raetz EA, Teachey DT. T-cell acute lymphoblastic leukemia. Hematol Am Soc Hematol Educ Program. 2016;2016(1):580–8.

    Article  Google Scholar 

  2. Chiaretti S, Gianfelici V, O’Brien SM, Mullighan CG. Advances in the Genetics and Therapy of Acute Lymphoblastic Leukemia. Am Soc Clin Oncol Educ Book. 2016;35:e314–22.

    Article  PubMed  Google Scholar 

  3. Girardi T, Vicente C, Cools J, De Keersmaecker K. The genetics and molecular biology of T-ALL. Blood. 2017;129(9):1113–23.

    Article  CAS  PubMed  Google Scholar 

  4. Hefazi M, Litzow MR. Recent advances in the Biology and Treatment of T Cell Acute Lymphoblastic Leukemia. Curr Hematol Malig Rep. 2018;13(4):265–74.

    Article  PubMed  Google Scholar 

  5. Van Vlierberghe P, Pieters R, Beverloo HB, Meijerink JP. Molecular-genetic insights in paediatric T-cell acute lymphoblastic leukaemia. Br J Haematol. 2008;143(2):153–68.

    Article  PubMed  Google Scholar 

  6. Teachey DT, O’Connor D. How I treat newly diagnosed T-cell acute lymphoblastic leukemia and T-cell lymphoblastic lymphoma in children. Blood. 2020;135(3):159–66.

    Article  PubMed  PubMed Central  Google Scholar 

  7. Lejman M, Włodarczyk M, Styka B, et al. Advantages and limitations of SNP array in the Molecular characterization of Pediatric T-Cell Acute Lymphoblastic Leukemia. Front Oncol. 2020;10:1184. Published 2020 Jul 17.

    Article  PubMed  PubMed Central  Google Scholar 

  8. Winter SS, Dunsmore KP, Devidas M, et al. Improved survival for children and young adults with T-Lineage Acute Lymphoblastic Leukemia: results from the children’s Oncology Group AALL0434 methotrexate randomization [published correction appears in J Clin Oncol. 2019;37(9):761]. J Clin Oncol. 2018;36(29):2926–34.

  9. Pui CH, Pei D, Cheng C, et al. Treatment response and outcome of children with T-cell acute lymphoblastic leukemia expressing the gamma-delta T-cell receptor. Oncoimmunology. 2019;8(8):1599637. Published 2019 May 17.

    Article  PubMed  PubMed Central  Google Scholar 

  10. Eckert C, Parker C, Moorman AV, et al. Risk factors and outcomes in children with high-risk B-cell precursor and T-cell relapsed acute lymphoblastic leukaemia: combined analysis of ALLR3 and ALL-REZ BFM 2002 clinical trials. Eur J Cancer. 2021;151:175–89.

    Article  CAS  PubMed  Google Scholar 

  11. Hunger SP, Raetz EA. How I treat relapsed acute lymphoblastic leukemia in the pediatric population. Blood. 2020;136(16):1803–12.

    Article  CAS  PubMed  Google Scholar 

  12. Schwab C, Harrison CJ. Advances in B-cell precursor Acute Lymphoblastic Leukemia Genomics. Hemasphere. 2018;2(4):e53.

    Article  PubMed  PubMed Central  Google Scholar 

  13. Mroczek A, Zawitkowska J, Kowalczyk J, Lejman M. Comprehensive Overview of Gene rearrangements in childhood T-Cell Acute Lymphoblastic Leukaemia. Int J Mol Sci. 2021;22(2):808.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  14. Olshanskaya Y, Kazakova A, Tsaur G, et al. Clinical significance of cytogenetic changes in childhood T-cell acute lymphoblastic leukemia: results of the multicenter group Moscow-Berlin (MB). Leuk Lymphoma. 2019;60(2):426–32.

    Article  CAS  PubMed  Google Scholar 

  15. Burns MA, Place AE, Stevenson KE, et al. Identification of prognostic factors in childhood T-cell acute lymphoblastic leukemia: results from DFCI ALL Consortium protocols 05 – 001 and 11 – 001 [published correction appears in Pediatr Blood Cancer. 2021;68(3):e28885]. Pediatr Blood Cancer. 2021;68(1):e28719.

  16. Teachey DT, Pui CH. Comparative features and outcomes between paediatric T-cell and B-cell acute lymphoblastic leukaemia. Lancet Oncol. 2019;20(3):e142–54.

    Article  PubMed  PubMed Central  Google Scholar 

  17. Liu Y, Easton J, Shao Y, et al. The genomic landscape of pediatric and young adult T-lineage acute lymphoblastic leukemia. Nat Genet. 2017;49(8):1211–8.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  18. 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):2077–84.

    Article  CAS  PubMed  Google Scholar 

  19. Karrman K, Johansson B. Pediatric T-cell acute lymphoblastic leukemia. Genes Chromosomes Cancer. 2017;56(2):89–116.

    Article  CAS  PubMed  Google Scholar 

  20. Bene MC, Castoldi G, Knapp W, et al. Proposals for the immunological classification of acute leukemias. European Group for the Immunological Characterization of Leukemias (EGIL). Leukemia. 1995;9(10):1783–6.

    CAS  PubMed  Google Scholar 

  21. McGowan-Jordan J, Hastings RJ, Moore S, editors. ISCN 2020: an International System for Human Cytogenomic nomenclature. Basel: Karger; 2020.

    Google Scholar 

  22. Peterson JF, Pitel BA, Smoley SA, et al. Detection of a cryptic NUP214/ABL1 gene fusion by mate-pair sequencing (MPseq) in a newly diagnosed case of pediatric T-lymphoblastic leukemia. Cold Spring Harb Mol Case Stud. 2019;5(2):a003533. Published 2019 Apr 1.

    Article  PubMed  PubMed Central  Google Scholar 

  23. Taylor J, Xiao W, Abdel-Wahab O. Diagnosis and classification of hematologic malignancies on the basis of genetics. Blood. 2017;130(4):410–23.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  24. Karrman K, Forestier E, Heyman M, et al. Clinical and cytogenetic features of a population-based consecutive series of 285 pediatric T-cell acute lymphoblastic leukemias: rare T-cell receptor gene rearrangements are associated with poor outcome. Genes Chromosomes Cancer. 2009;48(9):795–805.

    Article  CAS  PubMed  Google Scholar 

  25. Patrick K, Vora A. Update on biology and treatment of T-cell acute lymphoblastic leukaemia. Curr Opin Pediatr. 2015;27(1):44–9.

    Article  CAS  PubMed  Google Scholar 

  26. Belver L, Ferrando A. The genetics and mechanisms of T cell acute lymphoblastic leukaemia. Nat Rev Cancer. 2016;16(8):494–507.

    Article  CAS  PubMed  Google Scholar 

  27. Graux C, Cools J, Michaux L, Vandenberghe P, Hagemeijer A. Cytogenetics and molecular genetics of T-cell acute lymphoblastic leukemia: from thymocyte to lymphoblast. Leukemia. 2006;20(9):1496–510.

    Article  CAS  PubMed  Google Scholar 

  28. Cauwelier B, Cavé H, Gervais C, et al. Clinical, cytogenetic and molecular characteristics of 14 T-ALL patients carrying the TCRbeta-HOXA rearrangement: a study of the Groupe Francophone De Cytogénétique Hématologique. Leukemia. 2007;21(1):121–8. https://doi.org/10.1038/sj.leu.2404410.

    Article  CAS  PubMed  Google Scholar 

  29. Szczepański T, Harrison CJ, van Dongen JJ. Genetic aberrations in paediatric acute leukaemias and implications for management of patients. Lancet Oncol. 2010;11(9):880–9.

    Article  PubMed  Google Scholar 

  30. Cavé H, Suciu S, Preudhomme C, et al. Clinical significance of HOX11L2 expression linked to t(5;14)(q35;q32), of HOX11 expression, and of SIL-TAL fusion in childhood T-cell malignancies: results of EORTC studies 58881 and 58951. Blood. 2004;103(2):442–50.

    Article  PubMed  Google Scholar 

  31. Bergeron J, Clappier E, Radford I, et al. Prognostic and oncogenic relevance of TLX1/HOX11 expression level in T-ALLs. Blood. 2007;110(7):2324–30.

    Article  CAS  PubMed  Google Scholar 

  32. van Grotel M, Meijerink JP, Beverloo HB, et al. The outcome of molecular-cytogenetic subgroups in pediatric T-cell acute lymphoblastic leukemia: a retrospective study of patients treated according to DCOG or COALL protocols. Haematologica. 2006;91(9):1212–21.

    PubMed  Google Scholar 

  33. Van Vlierberghe P, Homminga I, Zuurbier L, et al. Cooperative genetic defects in TLX3 rearranged pediatric T-ALL. Leukemia. 2008;22(4):762–70.

    Article  PubMed  Google Scholar 

  34. Meijerink JP, den Boer ML, Pieters R. New genetic abnormalities and treatment response in acute lymphoblastic leukemia. Semin Hematol. 2009;46(1):16–23.

    Article  PubMed  Google Scholar 

  35. Bernard OA, Busson-LeConiat M, Ballerini P, et al. A new recurrent and specific cryptic translocation, t(5;14)(q35;q32), is associated with expression of the Hox11L2 gene in T acute lymphoblastic leukemia. Leukemia. 2001;15(10):1495–504.

    Article  CAS  PubMed  Google Scholar 

  36. Hansen-Hagge TE, Schäfer M, Kiyoi H, et al. Disruption of the RanBP17/Hox11L2 region by recombination with the TCRdelta locus in acute lymphoblastic leukemias with t(5;14)(q34;q11). Leukemia. 2002;16(11):2205–12.

    Article  CAS  PubMed  Google Scholar 

  37. Ballerini P, Landman-Parker J, Cayuela JM, et al. Impact of genotype on survival of children with T-cell acute lymphoblastic leukemia treated according to the French protocol FRALLE-93: the effect of TLX3/HOX11L2 gene expression on outcome. Haematologica. 2008;93(11):1658–65.

    Article  PubMed  Google Scholar 

  38. Attarbaschi A, Pisecker M, Inthal A, et al. Prognostic relevance of TLX3 (HOX11L2) expression in childhood T-cell acute lymphoblastic leukaemia treated with Berlin-Frankfurt-Münster (BFM) protocols containing early and late re-intensification elements. Br J Haematol. 2010;148(2):293–300.

    Article  CAS  PubMed  Google Scholar 

  39. Richter-Pechańska P, Kunz JB, Hof J, et al. Identification of a genetically defined ultra-high-risk group in relapsed pediatric T-lymphoblastic leukemia. Blood Cancer J. 2017;7(2):e523. Published 2017 Feb 3.

    Article  PubMed  PubMed Central  Google Scholar 

  40. La Starza R, Pierini V, Pierini T, et al. Design of a comprehensive fluorescence in situ hybridization assay for genetic classification of T-Cell Acute Lymphoblastic Leukemia. J Mol Diagn. 2020;22(5):629–39.

    Article  PubMed  Google Scholar 

  41. Herman JG, Jen J, Merlo A, Baylin SB. Hypermethylation-associated inactivation indicates a tumor suppressor role for p15INK4B. Cancer Res. 1996;56(4):722–7.

    CAS  PubMed  Google Scholar 

  42. Agarwal M, Bakhshi S, Dwivedi SN, Kabra M, Shukla R, Seth R. Cyclin dependent kinase inhibitor 2A/B gene deletions are markers of poor prognosis in Indian children with acute lymphoblastic leukemia. Pediatr Blood Cancer. 2018;65(6):e27001.

    Article  PubMed  Google Scholar 

  43. Karrman K, Castor A, Behrendtz M, et al. Deep sequencing and SNP array analyses of pediatric T-cell acute lymphoblastic leukemia reveal NOTCH1 mutations in minor subclones and a high incidence of uniparental isodisomies affecting CDKN2A. J Hematol Oncol. 2015;8:42. Published 2015 Apr 24.

    Article  PubMed  PubMed Central  Google Scholar 

  44. Genescà E, Lazarenkov A, Morgades M, et al. Frequency and clinical impact of CDKN2A/ARF/CDKN2B gene deletions as assessed by in-depth genetic analyses in adult T cell acute lymphoblastic leukemia. J Hematol Oncol. 2018;11(1):96. Published 2018 Jul 24.

    Article  PubMed  PubMed Central  Google Scholar 

  45. Graux C, Stevens-Kroef M, Lafage M, et al. Heterogeneous patterns of amplification of the NUP214-ABL1 fusion gene in T-cell acute lymphoblastic leukemia. Leukemia. 2009;23(1):125–33.

    Article  CAS  PubMed  Google Scholar 

  46. Jung M, Schieck M, Hofmann W, et al. Frequency and prognostic impact of PAX5 p.P80R in pediatric acute lymphoblastic leukemia patients treated on an AIEOP-BFM acute lymphoblastic leukemia protocol. Genes Chromosomes Cancer. 2020;59(11):667–71.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  47. Fogelstrand L, Staffas A, Wasslavik C, et al. Prognostic implications of mutations in NOTCH1 and FBXW7 in childhood T-ALL treated according to NOPHO ALL-1992 and ALL-2000 protocols. Pediatr Blood Cancer. 2014;61(3):424–30.

    Article  CAS  PubMed  Google Scholar 

  48. Paganin M, Grillo MF, Silvestri D, et al. The presence of mutated and deleted PTEN is associated with an increased risk of relapse in childhood T cell acute lymphoblastic leukaemia treated with AIEOP-BFM ALL protocols. Br J Haematol. 2018;182(5):705–11.

    Article  CAS  PubMed  Google Scholar 

  49. Den Boer ML, van Slegtenhorst M, De Menezes RX, et al. A subtype of childhood acute lymphoblastic leukaemia with poor treatment outcome: a genome-wide classification study. Lancet Oncol. 2009;10(2):125–34.

    Article  Google Scholar 

  50. Mullighan CG, Goorha S, Radtke I, et al. Genome-wide analysis of genetic alterations in acute lymphoblastic leukaemia. Nature. 2007;446(7137):758–64.

    Article  CAS  PubMed  Google Scholar 

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Acknowledgements

The authors thank to MSc. Nikola Sejgunova and Tatiana Aghova, Ph.D. for performing the statistical analysis. The manuscript was edited by Stallard Scientific Editing.

Funding

This work was supported by MH CZ-DRO-VFN64165 given by the Czech Ministry of Health.

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Authors and Affiliations

  1. Center of Oncocytogenomics, Institute of Medical Biochemistry and Laboratory Diagnostics, General University Hospital in Prague and First Faculty of Medicine, Charles University in Prague, Prague, Czech Republic

    Libuse Lizcova, Eva Prihodova, Lenka Pavlistova, Karla Svobodova & Zuzana Zemanova

  2. CLIP - Childhood Leukaemia Investigation Prague, Department of Paediatric Haematology and Oncology, Second Faculty of Medicine, Charles University, Prague and University Hospital Motol, Prague, Czech Republic

    Ester Mejstrikova, Ondrej Hrusak & Pavla Luknarova

  3. Department of Paediatric Haematology and Oncology, Second Faculty of Medicine, Charles University, Prague and University Hospital Motol, Prague, Czech Republic

    Iveta Janotova, Lucie Sramkova & Jan Stary

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  1. Libuse Lizcova
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Contributions

L.L. designed the study, performed and analyzed FISH and MLPA results, interpreted the data and wrote the manuscript; E.M., L.P., K.S. performed and interpreted FISH or aCGH/SNP data; E.M., O.H., P.L. performed flow cytometry analysis; I.J. provided the patient data; L.S., J.S. treated the patients and provided the patient data; Z.Z. senior author, managed the project and raised funds, designed the study, provided critical assessment of the study, performed and interpreted the mFISH/mBAND analyses, and revised the manuscript. All authors have read and approved the final manuscript.

Corresponding author

Correspondence to Libuse Lizcova.

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Ethics approval and consent to participate

The written consent was obtained from all patients´ parents or guardians in the study in accordance with the Declaration of Helsinki and the ethical standards of the local ethic committees.

Consent for publication

A large part of tests was conducted for diagnostic purposes (patients´ parents or guardians gave written informed consent for diagnostic genetic examination at the time of testing and for further using of specimen as scientific research material).

Competing interests

The authors declare no competing interests.

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Lizcova, L., Prihodova, E., Pavlistova, L. et al. Cytogenomic characterization of pediatric T-cell acute lymphoblastic leukemia reveals TCR rearrangements as predictive factors for exceptional prognosis. Mol Cytogenet 17, 14 (2024). https://doi.org/10.1186/s13039-024-00682-4

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Keywords

Molecular Cytogenetics

ISSN: 1755-8166