Literature DB >> 35992882

Prognostic significance of copy number variation in B-cell acute lymphoblastic leukemia.

Yang Song1, Qiuyun Fang1, Yingchang Mi1.   

Abstract

Copy number variations (CNVs) are widespread in both pediatric and adult cases of B-cell acute lymphoblastic leukemia (B-ALL); however, their clinical significance remains unclear. This review primarily discusses the most prevalent CNVs in B-ALL to elucidate their clinical value and further personalized management of this population. The discovery of the molecular mechanism of gene deletion and the development of targeted drugs will further enhance the clinical prognosis of B-ALL.
Copyright © 2022 Song, Fang and Mi.

Entities:  

Keywords:  CDKN2A/2B deletion; IKZF1 deletion; PAX5 deletion; acute lymphoblastic leukemia; copy number variation; gene deletion; prognosis

Year:  2022        PMID: 35992882      PMCID: PMC9386345          DOI: 10.3389/fonc.2022.981036

Source DB:  PubMed          Journal:  Front Oncol        ISSN: 2234-943X            Impact factor:   5.738


Introduction

B cell acute lymphoblastic leukemia (B-ALL) is a heterogeneous and invasive hematological malignancy with the accretion of genetic lesions (1, 2). Recent research has comprehensively investigated the genetic landscape of both adult and pediatric B-ALL (3–5). Over 90% of pediatric patients with B-ALL can attain complete remission (CR), 20% relapse, and 10% remain incurable (6). The conventional approach for pediatric B-ALL remission-induction chemotherapy drugs mainly consists of glucocorticoid, vincristine, asparaginase and/or anthracycline (7). With the first course of induction therapy administration for 4-6 weeks, the CR rate population of pediatric B-ALL may reach 98% (7). The genomic pattern of adult B-ALL might differ from pediatric cases, accompanied by more devastating clinical outcomes (8). However, chances of newly emerged drugs, chimeric antigen receptor T cell therapy, and hematopoietic stem cell transplantation (HSCT) improved the clinical response of specific subtypes of B-ALL patients remarkably (9–12). Nevertheless, 40% of adult patients with B-ALL relapsed at a median duration of 13 months (28 days to 12 years) (13). In this population, around 30%-40% of relapsed and refractory B-ALL cases can attain complete remission by first salvage chemotherapy. Besides, the long-term survival, that is, the 5-year survival rate, of patients with B-ALL remains at 20% only (14, 15). Hence, it is imperative to find a novel biomarker that could help determine the characteristics and prognosis of newly diagnosed B-ALL (16, 17). Copy number variations (CNV; a.k.a. copy number aberrations [CNAs]) are a specific type of genetic abnormality with a high incidence in B-ALL (1, 14, 18), ranging from 1 Kb to less than 5 Mb (19). CNVs denote the deletion, insertion, replication, and multipoint variants of DNA fragments. Previously, the initial cognition of CNV was found in healthy people and correlated with neuropsychiatric disorders. Today, CNV is broadly recognized as a major cause of various solid tumors (20) and acute myeloid leukemia (21). This review primarily focuses on the CNV biomarker analysis in B-ALL and their prognostic significance.

CNV detection method

As CNVs are challenging to detect by karyotype analysis, fluorescence in situ hybridization (FISH), and PCR amplification; besides, their research and application are limited to some extent (22, 23). Indeed, FISH is traditionally used in CNV research but is limited to the imbalance design of both satisfying multi-genes location and the FISH gene-specific probes. With the advent of various sequencing technologies, array-based CNV analysis was commonly used for detecting genomic DNA fragments. For example, CNV can be recognized by array comparative genomic hybridization and single-nucleotide polymorphism arrays; however, the high cost and complex process of these techniques hinder their widespread use in clinical practice. In 2002, Schouten established multiplex ligation-dependent probe amplification (MLPA) assay to analyze the CNV spectrum; this technology is a fast and reliable gene CNV detection method that can detect the copy number changes of 45 gene probes simultaneously with high specificity and at a low cost (24). Kiss R et al. (25) proposed the digital MLPA-based approach based on the next-generation sequencing technology to detect hundreds of exon-positions CNV panels at the same time. The next-generation sequencing method can simultaneously detect sequence variation of a single base, insertion, or deletion of short fragments and CNV (19). To date, many studies have investigated various software projects to examine copy number changes (26). Zhou B et al. (23) compared different sequencing depths (1×, 3×, and 5× coverages) using whole-genome sequencing by different sequencing libraries (short/3 kb/5 kb); they recommended that the gold standard for CNV detection was under the large library and low sequencing depth. Optical genome mapping is a new whole-genome sequencing method in which each DNA molecule is linearized and unfolded by nano-microfluidic CHIP with high-resolution fluorescence imaging (27, 28). All structural variations and CNVs can be detected by providing original DNA information for downstream applications of genomics. Unlike other traditional cytogenetic methods, optical genome mapping has a full coverage of all types of mutations, detects small tumor-related mutations, and has high consistency in detecting hematological malignancies–related chromosomal and DNA abnormalities. In addition, LüHMANN JL et al. (29) established that optical genome mapping was superior to any other traditional method in the area of detecting the classical gene deletions (e.g., IKZF1) and gene losses that were previously undetected (e.g., SETD2). Owing to the insensitivity of whole-genome sequencing hybridization and capture, the reads captured in an exon fragment vary markedly from sample to sample. Thus, new technologies emerged gradually, such as noninvasive prenatal testing technology, which could detect CNVs in tumor circulating free DNA of 7 MB size with >95% sensitivity and specificity (30). Reportedly, RNA-seq is limited to detect CNVs in ALL as a result of mismatching B-allele frequency. BAŘINKA et.al (31). developed a robust tool RNAseqCNV package based on the normalized gene expression and minor allele frequency to classify arm-level CNVs. In addition, InferCNV was applied widely to identify large-scale chromosomal CNVs in tumor single-cell RNA sequencing (scRNA-seq) data. The basic idea is to compare the gene expression of each tumor cell with the average expression or “normal” reference cell gene expression in the whole genome to determine its expression intensity (32). However, the genomic location of specific CNVs is not available to precisely classify tumor and normal cells copy number spectrum. Considering the critical need for distinguishing normal cell types from malignant cells in the tumor microenvironment, copy number karyotype of tuments (CopyKAT), as an integrated Bayesian segmentation method, was developed to estimate the CNV spectrum, with an average genome resolution of 5 MB from the reading depth of high-throughput scRNA-seq data (33).

CNV prevalence in B-ALL

CNVs are frequently detected in B-ALL with considerable heterogeneity distribution (34). Overall, about 40%–49% of B-ALL carried gene CNVs that regulate early B-line cell differentiation and development-related genes (e.g., PAX5, IKZF1, and EBF1) and about 60% carry deletions of cell-cycle regulatory genes (e.g., CDKN2A/B and RB1) (5, 14). Broadly, CNVs occurred in 65% of pediatric B-ALL cases (35). summarizes the incidence of common CNVs (including IKZF1, CDKN2A/B, and PAX5 genes) detected using MLPA from multiple cohorts (5, 18, 36–46); these occurred in the order of IKZF1, CDKN2A/B, and PAX5. In adult B-ALL cases, deletions of these genes were markedly enriched in the Philadelphia chromosome-positive (Ph+) B-ALL group than in the Ph− B-ALL group (82.4% vs. 58.7%, P<0.01) ( 18). Furthermore, Ribera J et al. (47) detected CNAs of 12 genetic regions in 142 adolescents and adults with de-novo precursor B-ALL using MLPA; CDKN2A/B deletion occurred in 59/142 (42%) cases, while IKZF1 deletion occurred in 49/142 (35%) cases.
Table 1

CNVs in frequent genes in different B-ALL cohort.

Author/GroupSubtypePatient numberB-ALL statusIKZF1N (%)CDKN2A/2B N (%)PAX5IKZF1 plus(%)No Del(%)Reference
N (%)
PediatricsALL IC-BFM 2009Whole series88ND16(18.2%)23(26.1%)(30.7%)(12.5%)(35%)(18)
(25%)
UKALL14Whole series437ND170(38.9%)162(37.1%)93(21.2%)167(38%)(36)
MIGICCL studyWhole series63ND17(27%)20(31.7%)10(15.9%)25(39.7%)(37)
18(28.6%)
Hamadeh L et al.Whole series3239ND12%30%20%42%(38)
NOPHO protocolsPh-116ND19(16%)47(41%)40 (35%)(39)
Gupta SK et al.Ph- 320ND47(14.7%)103(32.2%)82(25.6%)32(10%)141(44%)(40)
AdultPfeifer H et al.Ph+97ND72(74%)41(42%)39(40%)(41)
GIMEMA protocolsPh+116ND97(84%)30(32%)43(36.2%)45(46.4%)(42)
Chiaretti S et al.Ph+60ND84.6%33.3%38.5%21%(43)
Fang Q et al.Ph+85ND65.9%28.2%27.1%30.5%17.6%(5)
Ph-126ND20.6%42.1%23.8%15.08%41.3%
Dirse V et al.Whole series66ND4(6%)19(29%)4(6%)(44)
18(27%)
Roberts KG et al.Ph like165ND120(73%)84(51%)62(38%)14%(45)
GIMEMA LAL1913Non-Ph like48ND12(25%)23(47.9%)11(22.9%)7(14.6%)(46)
Ph like22ND14(63.6%)7(31.8%)7(31.8%)10(45.5%)

Annotation: ND, newly diagnosis.

CNVs in frequent genes in different B-ALL cohort. Annotation: ND, newly diagnosis. Nevertheless, the research on CNV clones in relapsed B-ALL is limited. Despite being the preferred and widely used method for detecting CNVs in the related literature, MLPA might not be able to detect CNVs in samples presenting a low leukemia burden (carried <25% CNV clone). Moreover, CNVs in relapsed B-ALL remain unclear owing to limited paired B-ALL (newly diagnosed and relapsed) samples. The CNVs of relapsed B-ALL evolved from the diagnosis for examining specific gene content and clone size. By comparing the first-relapsed B-ALL to the newly diagnosed stage. RIBERA J et al. (48) established that CDKN2A/B, PAX5, and IKZF1 deletions were more frequent at relapse. Mullighan CG et al. (49) performed the genome-wide CNV and LOH analyses on matched diagnostic and relapse bone marrow samples from 61 pediatric patients with ALL, and identified a mean of 10.8 somatic CNV per B-ALL case and 7.1 CNVs per T-ALL case at diagnosis. In addition, they observed a significant increase in the mean number of CNVs per case in relapsed B-ALL samples (10.8 at diagnosis vs. 14.0 at relapse, P = 0.0005); however, no significant changes were observed in the lesion frequency in T-ALL. The majority (88.5%) of relapse samples harbored at least some of the CNAs present in the matched diagnosis sample, suggesting a common clonal origin, although 91.8% of samples showed a change in the pattern of CNVs from diagnosis to relapse. Of these cases, 34% acquired new CNVs, 12% exhibited loss of lesions present at diagnosis, and 46% both acquired new lesions and lost lesions present at diagnosis. Moreover, Ribera (48) compared CNVs at diagnosis and relapse, observing the trend to acquire homozygous CDKN2A/B deletions and a considerable increase in CNVs from diagnosis to the first relapse. Besides, evolution from an ancestral clone was the main pattern of clonal evolution. When focusing on the acquired CNVs in relapsed clones, gene alterations mostly correlated with proliferation and drug resistance.

Clinical significance of recurrent CNV genes in B-ALL

IKZF1 gene deletions

The Ikaros Zinc Finger 1 (IKZF1) gene, located at 7p12.2, encodes 519 amino acids by 8 full-length exons (50). Exons are essential for Ikaros gene functions, except for exon 1 (which does not participate in transcription) and exons 2, 3, and 7 (undetermined significance). IKZF1 deletions in both coding and noncoding regions might interfere with the gene activity and promote B-ALL progression through specific targets. For example, EBF1, MSH2, and MCL1 genes, as the target genes of IKZF1, play a vital role in affecting B-cell differentiation (EBF1 gene), DNA repair (MSH2 gene), and anti-apoptosis (MCL1 gene). The primary functions of the IKZF1 gene include B-cell differentiation blocking, metabolic reprogramming, leukemia microenvironment adhesion, disease relapse, and drug resistance (51). Increasing evidence indicated that IKZF1 deletions mediate cellular drug resistance and relapse. For example, Rogers et.al (52) established that the IKZF1 deletion was resistant to dexamethasone, asparaginase, and daunorubicin by upregulating the JAK/STAT pathway. In addition, the IKZF1 deletion affects sensitivity to cytarabine by downregulating the SAMHD1 pathway (52); STEEGHS et. al (14) suggested that the loss of IKZF1 caused prednisolone resistance by elevating intracellular ATP and glucose levels, whereas drug sensitivity was recovered by inhibition of glycolysis. Moreover, IKZF1 deletion events, accompanied by CREBBP deletion or mutation, were common in relapsed pediatric B-ALL patients, which could correlate with the selective pressure of chemotherapeutic drugs on tumor cells (8). Notably, IKZF1 gene deletions comprise localized large fragment deletions, single exon deletions, and other nonlocalized deletions, among which localized large fragment deletions are the most common. The loss of IKZF1 can be separated depending on its functional effect. While IK1–IK3 is considered a functional subtype, other subtypes are dominant-negative isoforms (DN isoforms), that is, functional defect subtype. In addition, IK6, often located in the cytoplasm, is a functional defect subtype with the complete loss of N-terminal zinc finger structure due to exon 4–7 deletion. IK6 functions as DN effects by isolating normal cytoplasmic proteins (53). Loss-of-function was designated as the total allelic inactivation. The loss of haploid dysfunction due to exon 2 deletion can decrease the Ikaros protein level. Some studies reported IKZF1 deletions in around 15% of pediatric B-ALL cases and 30%–40% of adult B-ALL cases (40, 54). Perhaps, IKZF1 deletions in pediatric B-ALL are a hallmark of high-risk stratification and relapse independently carried by 70% of high-risk pediatric B-ALL (45, 55, 56). In adult B-ALL, IKZF1 deletions were detected about 70% of Ph+ B-ALL cases (4, 5), around 15%–30% of Ph− B-ALL (53), and 40% of Ph-like B-ALL cases (13). In a study, IKZF1 deletions were mostly enriched in the adult Ph+ B-ALL group than in the Ph− B-ALL group (65.9% vs. 20.6%, P < 0.01) (5). Ribera reported that IKZF1 deletions were more prevalent in Ph+ B-ALL (52%) and correlated with advanced age and high white blood cell count (47, 57). Another study reported that IKZF1 deletions correlated with the CALF2 gene overexpression (P = 0.001), particularly in DN isoforms (P = 0.006), regardless of age (54). Furthermore, IKZF1 deletions with CRLF2 overexpression indicated a poor prognosis in both adult and pediatric B-ALL patients (54). The prognostic impact of IKZF1 alterations in B-ALL remains debatable (58). Kobitzsch (53) reported that loss-of-function not DN intragenic IKZF1 deletions correlated with an adverse prognosis in adult BCR-ABL-negative ABL. Yeoh AEJ et al. (59) compared the 5-year cumulative incidence of relapse (CIR) of Malaysia–Singapore MS2003 (n = 507) and MS2010 (n = 316) of pediatric B-ALL; the findings revealed that the loss of IKZF1 strongly correlated with a higher 5-year CIR (20.5% vs. 8.0%, P = 0.01) in MS2003. However, the treatment of IKZF1 deletion patients was intensified in MS2010, and the 5-year CIR presented no more significant difference in pediatric Ph− B-ALL (11.4% vs. 4.4%, P = 0.09). In addition, Ribera reported that IKZF1 deletions conferred a higher relapse incidence (40% vs. 58%, P = 0.048) and worse 5-year overall survival (OS; 29% vs. 50%, P = 0.023) than IKZF1 undeleted in Ph− B-ALL (47). Zhang W et al. (58) conducted a meta-analysis of the correlation between IKZF1 deletion and survival; IKZF1 lesions could independently predict unfavorable OS (hazard ratio [HR] 1.60, 95% confidence interval [CI] 1.25–2.06) and event-free survival (EFS; HR 1.67, 95% CI: 1.28–2.17) in Ph− B-ALL. In the EsPhALL cohort (pediatric BCR-ABL1-positive), IKZF1 deletions correlated with an unfavorable prognosis (4-year Disease Free Survival [DFS] of 51.9% ± 8.8% for IKZF1-deleted vs. 78.6% ± 13.9% for IKZF1 wild-type; P = 0.03). The massive analysis of IKZF1-loss patients demonstrated that it played a crucial role in Ph-like B-ALL. In ALL-BFM protocols, IKZF1 deletions acted as an independent risk factor, with the lower 5-year EFS than wild-type IKZF1 (0.69% vs. 0.85%, P < 0.0001) (51). Furthermore, IKZF1 deletions in Ph-like B-ALL multivariate models could precast EFS and OS (60, 61). The response of early chemotherapy induction in patients with IKZF1 deletions was disappointing over the whole series. Several studies established that patients with IKZF1 lesions exhibited a high minimal residual disease (MRD) level (51, 60, 62). Reportedly, these patients could benefit more from intensive/alternate therapy than standard ones (4). Reportedly, the combination of vincristine and steroids in patients with IKZF1 deletions during maintenance treatment could be an effective and reasonable approach to prevent relapse. Dhédin N et al. (63) demonstrated that patients with IKZF1 deletions were likely to benefit from allogeneic HSCT (allo-HSCT) in terms of EFS (HR 0.42, 95% CI: 0.18–1.07, P = 0.025) and OS (HR 0.35, 95% CI: 0.16–0.75, P = 0.007), compared with non-IKZF1 alteration groups in adult Ph− B-ALL populations. However, whether the poor prognosis of IKZF1 overcame by stem cell transplantation warrants further investigation.

CDKN2A/CDKN2B gene deletion

Cyclin-dependent kinase inhibitor 2A/B (CDKN2A/B) is a common deletion in pediatric and adult B-ALL CNV profiles (1, 57, 64), as well as a major proposition of E2A-PBX1–positive B-ALL, but limited in MLL-rearranged patients (P = 0.005) (65). CDKN2A/B deletion is the major suppressor gene CNV in chromosome 9p21 (66). Compared with children, the CDKN2A/B incidence rate is marginally higher in adults (P = 0.002) (67). Moreover, 24.6% (14/57) of Ph-like patients present with enriched biallelic loss of CDKN2A/B (68). Reportedly, this lesion was highly representative of high white blood cell count, older age at initial diagnosis, and often accompanied by IKZF1 deletions (called I&C) (36, 69). Remarkably, clones with CDKN2A/B deletions detected in the initial diagnosis always persisted in relapse cases. Furthermore, CDKN2A/B presented a notable increase in the CNVs of relapse B-ALL (48). In some studies, pediatric B-ALL patients with CDKN2A/B deletions exhibited a trend of shorter relapse time and EFS (35, 67), although the OS rate remains debatable. Kathiravan et. al (35) indicated that the 28-month EFS of CDKN2A/B lesions in ICICLE (Indian adaption of UKMRC2007 protocol) was notably decreased (42% vs. 90%, P = 0.0004) compared with non-CDKN2A/B deletions. Moreover, Braun M et al. (69) proved that CDKN2A deletions decreased the RFS significantly (HR 2.21, P = 0.028). No evidence indicates that loss of CDKN2A/B affected the prognosis in pediatric EORTC trials (70). Conversely, Feng J et al. (71) suggested that CDKN2A/B deletions inferred the 3-year EFS rate (69.8% vs. 89.2%, P = 0.000) and 3-year OS rate (89.4% vs. 94.7%, P = 0.037). The frequency of adult CDKN2A/B deletions in the Ph-B-ALL group was much higher than in the Ph+ B-ALL group (39.7% vs. 24.7%, P = 0.041) (5). The prognostic value of CDKN2A/B in adults has been debated previously (35, 41, 44). Most studies emphasized that CDKN2A/B did not affect EFS and OS of adult patients with B-ALL. Only a few studies emphasized that CDKN2A/B adversely affected adult patients with B-ALL. Fang et. al (72). reported that CDKN2A/B is the vital relapsing and inferior prognostic marker for adult Ph− B-ALL (2-year OS: 38.2% vs. 80.3%, P = 0.002; 2-year RFS: 44% vs. 88.9%, P = 0.006). Messina M et al. (73) enrolled B-ALL-negative patients for BCR-ABL1 (Ph− B-ALL) population, including children, adolescents, and adults; the CDKN2A/B/RB1 deletion was reported as the negative prognostic factor (HR 2.12, P = 0.048) regardless of age. Pfeifer H et al. (41) suggested that CDKN2A/B deletions played an independent prognostic role in predicting the risk of relapse (DFS HR 2.621, P = 0.0054) and OS (HR 2.162, P = 0.014) in the adult Ph+ B-ALL population. Moreover, Dirse et. al (44). reported that CDKN2A/B decreased the EFS (multivariate HR 2.607, P = 0.034) in the whole series of adult B-ALL.

PAX5 gene deletion

The transcription factor paired box domain gene 5 (PAX5) was considered to regulate B-cell lineage differentiation and contribute to leukemogenesis in B-ALL (74, 75). PAX5 acts on the downstream transcription factors E2A and EBF1 and is crucial for B-line differentiation (76). In PAX5-deficient mice, the development of B cells in the bone marrow was blocked in the early Pro-B stage (77). The alterations of PAX5 comprise partial exon deletion on chromosome 9 (14%) and amplification of exon 2 or 5, resulting in frameshift mutation (7%). PAX5 deletions might increase genetic instability. Consequently, the probability of a secondary strike markedly increases and induces the recurrence and development of leukemia. In a study, PAX5 deletions decreased leukemia cell viability by inducing apoptotic cell death using a new ribozyme-derived isotype-specific knockdown system in the B-ALL cell model (77). Furthermore, transplantation experiments and exhaustive sequencing validated that PAX5 deletion made it sensitive to malignant transformation by forming an abnormal progenitor cell population (78). As shown in , PAX5 deletions occurred in 15.9%–31.7% of pediatric Ph− B-ALL, 33% of pediatric Ph+ B-ALL (14), 27.1%–40% of adult Ph+ B-ALL, and 22.9%–23.8% of adult Ph-B-ALL (31.8%–38% Ph-like ALL) cases. No statistical difference has been reported between adult Ph− B-ALL and Ph+ B-ALL (27.1% vs. 27.8%, P = 0.549) cases (5). Most PAX5 deletions coexisted with CDKN2A/B deletions (83.3% of children and 100.0% of adults) and were commonly deleted in ETV6-RUNX1 B-ALL. The prognostic significance of PAX5 deletions in adult B-ALL also remains debatable. BHANDARI P et al. (64) claimed that PAX5 deletions were unsuitable for an independent prognostic marker for predicting prognosis because of no significant influence of RFS among B-ALL subgroups (P = 0.6839). Moreover, Iacobucci I et al. (79) reported no correlation between PAX5 deletions and OS (P = 0.3294) or DFS (P = 0.9249) in adult Ph+ B-ALL. In contrast, FEDULLO AL et al. (42) suggested that adult Ph+ B-ALL with PAX5 deletions showed shortened DFS (24.9% vs. 43.3%; P = 0.026). In pediatric B-ALL groups, the prognosis of PAX5 deletion was strongly dependent on IKZF1 codeletion (61, 80). However, no significant prognostic correlation was observed in PAX5 deletions alone in children (74). In other words, the PAX5 -loss group presented no relapsing risk after excluding IKZF1 deletions. Indeed, double deletion of PAX5 and IKZF1 was improved by treatment intensification in MS2010, with 0% 5-year CIR than 80.0% in MS2003 (P = 0.05).

Prognostic relevance of integrated CNV profiling

Extensive research integrated gene CNV profile into pediatric B-ALL risk stratification (17). Moorman AV et al. (34) identified an 8-gene CNV panel, including IKZF1, CDKN2A/B, PAR1, BTG1, EBF1, PAX5, ETV6, and RB1, for stratifying the pediatric B-ALL risk level known as the UKALL-CNV classifier (). This tool has robust decision-making ability in intermediate-risk cytogenetics subgroups and even patients with different leukemia protocols baseline (37, 38). Besides, the UKALL-CNV classifier can refine the established cytogenetic risk groups.
Table 2

Current stratification classifier of pediatric B-ALL CNV profile.

ClassifierGroupContentSurvival
Moorman risk criteria (UKALL2003) (34)CNV Good Risk (CNV-GR)Isolated allelic losses of ETV6, PAX5, BTG1ETV6 deletions with a single additional loss of BTG1, PAX5, CDKN2A/B; Absence of any deletion of IKZF1/CDKN2A/B/PAX5/ETV6/BTG1/EBF1/RB1/PAR1. MIGICCL Study (37)DFS (82% vs. 33% vs. 38%, p <0.0001)OS (65% vs. 5% vs. 44%, P = 0.005)
CNV Poor Risk (CNV-PR)Any single deletion in IKZF1, RB1, PAR1 or EBF1; the combined loss of IKZF1/PAX5/CDKN2A/B.
CNV Intermediate Risk (CNV-IR)Patients with none of those and/or another alteration profile.
Hamadeh L et al. (38)Gen-VGRCyto-GR+ CNV-GREFS (91% vs. 81% vs. 73% vs. 54%, P < 0.001)
Gen-GRCyto-IR+CNV-GR; Cyto- GR+ CNV- IR
Gen-IRCyto-IR+CNV-IR/CNV-PR; Cyto-GR+CNV-PR
Gen-PRCyto-HR, regardless of CNV
IKZF1 plus (STANULLA M et al.)IKZF1plus present IKZF1 deletion + any deletion of CDKN2A, CDKN2B, PAX5 or PAR1(score IKplus1)5-year EFS (53 ± 6% vs. 79 ± 5%, P < 0.001)
(81)IKZF1plus absentIKZF1plus absent (score IKplus0)Adult GIMEMA LAL2116 protocol (82)DFS (84.5% vs. 54.5%, P = 0.026)Adult GIMEMA LAL1509 protocol (43)DFS (0% vs. 60% P = 0.0008);OS (20% vs. 69.5%, P = 0.0068)
MRplus(40)Good-riskMRplus0= score M0 + score IKplus0Post-induction remission response(90.7% vs. 77.8% vs. 73.9%, p = 0.004)
Intermediate- riskMRplus1= scoreM1+score IKplus0EFS (56% vs. 34% vs. 19%, p < 0.001)
Poor-riskMRplus2= score M1+ score IKplus1
Moorman Revised(UKALL14)(36)Very high risk (VHR)CK, HoTr or JAK-STAT abnormalitiesOSVHR vs. SR 27% vs.64%, P<0.001 HR vs. SR 45% vs.64%, P = 0.013 TKA vs. SR 57% vs. 64%, P = 0.107
High risk(HR) KMT2A fusions (KMT2A-AFF1) EFS
Standard risk(SR)BCR-ABL1 and ABL class fusionVHR vs. SR 23% vs.58%, P<0.001 HR vs. SR 37% vs.58%, P = 0.008 TKA vs. SR 47% vs. 58%, P = 0.005
Tyrosine kinase activating(TKA)All other patients

Annotation: Cyto-GR includes ETV6-RUNX1 and high hyperdiploidy (51-65 chromosomes); Cyto-PR includes t(9;22)(q34;q11.2)/BCR-ABL1, MLL translocations, near haploidy (<30 chromosomes), low hypodiploidy (30-39 chromosomes), intrachromosomal amplification of chromosome 21 (iAMP21), or t(17;19)(q23;p13)/HLF-TCF3; Cyto-IR includes all other cases with abnormal or normal cytogenetics.

VER, very early relapsed; HR, Hazard Ratio.

The definition of CNV-GR, CNV-IR and CNV-PR was equal to the Moorman risk criteria content respectively. Gen-VGR, Gene very good risk; Gen-GR, gene good risk; Gen-IR, gene. Cyto GR, cytogenetic good risk; Cyto IR, cytogenetic intermediate risk; Cyto PR, cytogenetic poor risk.

The definition of score M0 in MRplus refers to the Low genetic risk in Moorman risk criteria score. Score M1 refers to the High genetic risk and Intermediate genetic risk in Moorman risk criteria score.

The definition of score IKplus0 and IKplus1 in MRplus refers to the IKZF1 plus absent and IKZF1 plus absent respectively. In Moorman Revised UKALL14, HoTr, low hypodiploidy/near triploidy; CK, complex karyotype ≥5 chromosomal abnormalities.

Current stratification classifier of pediatric B-ALL CNV profile. Annotation: Cyto-GR includes ETV6-RUNX1 and high hyperdiploidy (51-65 chromosomes); Cyto-PR includes t(9;22)(q34;q11.2)/BCR-ABL1, MLL translocations, near haploidy (<30 chromosomes), low hypodiploidy (30-39 chromosomes), intrachromosomal amplification of chromosome 21 (iAMP21), or t(17;19)(q23;p13)/HLF-TCF3; Cyto-IR includes all other cases with abnormal or normal cytogenetics. VER, very early relapsed; HR, Hazard Ratio. The definition of CNV-GR, CNV-IR and CNV-PR was equal to the Moorman risk criteria content respectively. Gen-VGR, Gene very good risk; Gen-GR, gene good risk; Gen-IR, gene. Cyto GR, cytogenetic good risk; Cyto IR, cytogenetic intermediate risk; Cyto PR, cytogenetic poor risk. The definition of score M0 in MRplus refers to the Low genetic risk in Moorman risk criteria score. Score M1 refers to the High genetic risk and Intermediate genetic risk in Moorman risk criteria score. The definition of score IKplus0 and IKplus1 in MRplus refers to the IKZF1 plus absent and IKZF1 plus absent respectively. In Moorman Revised UKALL14, HoTr, low hypodiploidy/near triploidy; CK, complex karyotype ≥5 chromosomal abnormalities. Based on the Moorman’s criteria, Gupta SK et al. (83) subgrouped the MRD-negative intermediate-risk pediatric Ph− B-ALL into two subgroups with different EFS (77% vs. 38%, P = 0.045) and OS (90% vs. 30%, P = 0.037), whereas the criteria had no classifying power in MRD-positive groups (OS 75% vs. 57%, P = 0.293). A total of 3239 pediatric B-ALL cases were applied to validate the UKALL classifier (38). By integrating CNV and cytogenetic data, Hamadeh revised the overall genetic classification by defining four risk groups with distinct EFS rates (P < 0.001)—very good (91%), good (81%), intermediate (73%), and poor (54%). Stanulla M et al. (81) proposed a very-poor prognostic subtype defined as IKZF1 plus subtype: IKZF1 occurred with additional mutations, containing CDKN2A, CDKN2B, PAX5, or PAR1 deletions simultaneously but without ERG deletions (). Besides, the IKZF1 plus 5-year EFS rate in pediatrics was 53% ± 6% compared with 79% ± 5% in adults (P < 0.001). In adult Ph+ B-ALL, IKZF1 plus negatively affected the survival outcome than IKZF1 alone (DFS: 43.3% vs. 24.9%, P = 0.026; OS: 62.6% vs. 40.2%, P = 0.02)  (42). Reportedly, IKZF1 plus patients had been under similar conditions in the GIMEMA LAL2116 cohort (DFS: 84.5% vs. 54.5%, P = 0.026) and GIMEMA LAL1509 protocol (DFS: 0% vs. 60%, P = 0.0008; OS: 20% vs. 69.5%, P = 0.0068) (43, 82). However, the prognostic significance of IKZF1 plus in adult Ph+ B-ALL was not detected (5). Likewise, Chiaretti S et al. (46) reported no statistical correlation between IKZF1 plus in adult Ph-like B-ALL (HR 1.869, 95% CI: 0.49–6.67, P = 0.339). In addition, GUPTA SK et al. (40) proposed the “MRplus” risk score system by integrating IKZF1 plus and the UKALL-CNV classifier subtyping to better classify pediatric Ph− B-ALL prognosis. The 0, 1, 2 groups defined by MR plus system markedly discriminated postinduction remission response and 4-year OS (). Considering the primary chromosomal abnormalities significantly correlate with the CNV frequency, Moorman AV et al. (36) revised the stratification by adding cytogenetic risk factors, like KMT2A fusions, complex karyotype and low hypodiploidy/near-triploidy. The new risk system could predict the 3-year OS (64% vs. 47%; HR 1.65 95% CI: 1.27–2.12, P < 0.001).

Future perspectives

Many studies have proved that CNV is a common molecular abnormality in the development of B-ALL (48). Current evidence suggests that the CNV pattern of adult and pediatric B-ALL has a different cytogenetic abnormality and pathological significances. Moreover, growing evidence indicates that high number and diverse CNVs observed are acquired in the process of disease relapsing (37). This study mainly discussed the clinical significance of the CNV spectrum, which has been well recognized in patients with B-ALL. Among them, IKZF1, CDKN2A/B, and PAX5 are the leading prevalent gene alterations in B-ALL (47). Moreover, these CNVs in Ph-like and Ph+ B-ALL remain equally frequent (68). However, some research of gene prognostic value is inconsistent, which could be because of difference in enrolled patients and treatment regimen. Undoubtedly, CNVs guided the risk of relapsing and survival outcome of both pediatric and adult B-ALL (84). Intensive chemotherapy combined with allo-HSCT is expected to overcome the adverse impact of CNVs. Perhaps, the combination of intensive chemotherapy and allo-HSCT could overcome the adverse impact of CNVs. Typically, the risk stratification of B-ALL based on the CNV profiles is largely limited to the pediatric population (36). Currently, the IKZF1 plus and UKALL-CNV classifier are broadly promoted in the adult B-ALL classification (5, 37, 43). Considering the different cytogenetic patterns of adults and children, the risk system in adults warrants revision in future. With the new exploration of new targets of rearrangement in B-ALL (e.g., DUX4, ZNF384, and MEF2D), the survival risk stratification system will be consistently updated in the future. Besides, further research will help identify new prognostic indicators and potential therapeutic targets. In conclusion, this review characterizes B-ALL–related copy number events, which is valuable for precise patient subgroup stratification. In addition, this study provides insights into the new immunotherapy-based approaches and tailored treatment strategies for patients with B-ALL. Nevertheless, additional multicenter survival data will be needed for further verification in the future.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Author contributions

YS drafted the manuscript. QF and YM revised the manuscript. All authors read and approved the final manuscript.

Funding

Basic Scientific Research Project of National Universities (332021059).

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
  84 in total

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Authors:  Jason H Rogers; Rohit Gupta; Jaime M Reyes; Michael C Gundry; Geraldo Medrano; Anna Guzman; Rogelio Aguilar; Shannon E Conneely; Tidie Song; Cade Johnson; Sean Barnes; Carlo D D Cristobal; Kristen Kurtz; Lorenzo Brunetti; Margaret A Goodell; Rachel E Rau
Journal:  Blood Adv       Date:  2021-10-12

3.  IKZF1 deletion is an independent prognostic marker in childhood B-cell precursor acute lymphoblastic leukemia, and distinguishes patients benefiting from pulses during maintenance therapy: results of the EORTC Children's Leukemia Group study 58951.

Authors:  E Clappier; N Grardel; M Bakkus; J Rapion; B De Moerloose; P Kastner; A Caye; J Vivent; V Costa; A Ferster; P Lutz; F Mazingue; F Millot; D Plantaz; G Plat; E Plouvier; M Poirée; N Sirvent; A Uyttebroeck; K Yakouben; S Girard; N Dastugue; S Suciu; Y Benoit; Y Bertrand; H Cavé
Journal:  Leukemia       Date:  2015-06-08       Impact factor: 11.528

4.  Tisagenlecleucel in Children and Young Adults with B-Cell Lymphoblastic Leukemia.

Authors:  Shannon L Maude; Theodore W Laetsch; Jochen Buechner; Susana Rives; Michael Boyer; Henrique Bittencourt; Peter Bader; Michael R Verneris; Heather E Stefanski; Gary D Myers; Muna Qayed; Barbara De Moerloose; Hidefumi Hiramatsu; Krysta Schlis; Kara L Davis; Paul L Martin; Eneida R Nemecek; Gregory A Yanik; Christina Peters; Andre Baruchel; Nicolas Boissel; Francoise Mechinaud; Adriana Balduzzi; Joerg Krueger; Carl H June; Bruce L Levine; Patricia Wood; Tetiana Taran; Mimi Leung; Karen T Mueller; Yiyun Zhang; Kapildeb Sen; David Lebwohl; Michael A Pulsipher; Stephan A Grupp
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5.  A novel integrated cytogenetic and genomic classification refines risk stratification in pediatric acute lymphoblastic leukemia.

Authors:  Anthony V Moorman; Amir Enshaei; Claire Schwab; Rachel Wade; Lucy Chilton; Alannah Elliott; Stacey Richardson; Jeremy Hancock; Sally E Kinsey; Christopher D Mitchell; Nicholas Goulden; Ajay Vora; Christine J Harrison
Journal:  Blood       Date:  2014-06-23       Impact factor: 22.113

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Journal:  Blood Adv       Date:  2021-09-14

7.  Assessment of circulating copy number variant detection for cancer screening.

Authors:  Bhuvan Molparia; Eshaan Nichani; Ali Torkamani
Journal:  PLoS One       Date:  2017-07-07       Impact factor: 3.240

8.  RNAseqCNV: analysis of large-scale copy number variations from RNA-seq data.

Authors:  Jan Bařinka; Zunsong Hu; Lu Wang; David A Wheeler; Delaram Rahbarinia; Clay McLeod; Zhaohui Gu; Charles G Mullighan
Journal:  Leukemia       Date:  2022-03-29       Impact factor: 12.883

Review 9.  Pediatric acute lymphoblastic leukemia.

Authors:  Hiroto Inaba; Charles G Mullighan
Journal:  Haematologica       Date:  2020-11-01       Impact factor: 9.941

10.  Optimizing the diagnostic workflow for acute lymphoblastic leukemia by optical genome mapping.

Authors:  Katrina Rack; Jolien De Bie; Geneviève Ameye; Olga Gielen; Sofie Demeyer; Jan Cools; Kim De Keersmaecker; Joris R Vermeesch; Johan Maertens; Heidi Segers; Lucienne Michaux; Barbara Dewaele
Journal:  Am J Hematol       Date:  2022-03-09       Impact factor: 13.265

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