Literature DB >> 34788984

Genetic and genomic analysis of acute lymphoblastic leukemia in older adults reveals a distinct profile of abnormalities: analysis of 210 patients from the UKALL14 and UKALL60+ clinical trials.

Thomas Creasey1, Emilio Barretta2, Sarra L Ryan2, Ellie Butler2, Amy A Kirkwood3, Daniel Leongamornlert4, Elli Papaemmanuil5, Pip Patrick3, Laura Clifton-Hadley3, Bela Patel6, Tobias Menne7, Andrew K McMillan8, Christine J Harrison2, Clare J Rowntree9, Nick Morley10, David I Marks11, Adele K Fielding12, Anthony V Moorman13.   

Abstract

Despite being predominantly a childhood disease, the incidence of acute lymphoblastic leukemia (ALL) has a second peak in adults aged 60 years and over. These older adults fare extremely poorly with existing treatment strategies and very few studies have undertaken a comprehensive genetic and genomic characterization to improve prognosis in this age group. We performed cytogenetic, single nucleotide polymorphism (SNP) array and next-generation sequencing (NGS) analyses on samples from 210 patients aged ≥60 years from the UKALL14 and UKALL60+ clinical trials. BCR-ABL1-positive disease was present in 26% (55/210) of patients, followed by low hypodiploidy/near triploidy in 13% (28/210). Cytogenetically cryptic rearrangements in CRLF2, ZNF384 and MEF2D were detected in 5%, 1% and <1% of patients, respectively. Copy number abnormalities were common and deletions in ALL driver genes were seen in 77% of cases. IKZF1 deletion was present in 51% (40/78) of samples tested and the IKZF1plus profile was identified in over a third (28/77) of cases of B-cell precursor ALL. The genetic good-risk abnormalities high hyperdiploidy (n=2), ETV6-RUNX1 (no cases) and ERG deletion (no cases) were exceptionally rare in this cohort. RAS pathway mutations were seen in 17% (4/23) of screened samples. KDM6A abnormalities, including biallelic deletions, were discovered in 5% (4/78) of SNP arrays and 9% (2/23) of NGS samples, and represent novel, potentially therapeutically actionable lesions using EZH2 inhibitors. Outcome remained poor with 5-year event-free and overall survival rates of 17% and 24%, respectively, across the cohort, indicating a need for novel therapeutic strategies.

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Year:  2022        PMID: 34788984      PMCID: PMC9425332          DOI: 10.3324/haematol.2021.279177

Source DB:  PubMed          Journal:  Haematologica        ISSN: 0390-6078            Impact factor:   11.047


Introduction

Acute lymphoblastic leukemia (ALL) presents most commonly in early childhood.[1] However, the disease has a bimodal incidence with a second smaller peak in adults aged 60 years old and over.[2] Optimal care of these older adults (≥60 years) remains an area of unmet clinical need. Although they account for only 30-35% of diagnoses each year in adults, around 60% of disease-related deaths occur within this age group, and they are the only ALL patients not to have benefitted from the stepwise improvements in prognosis driven through successive clinical trials in children and younger adults.[2,3] Primary chromosomal abnormalities are one of the hallmarks of ALL and greatly influence treatment decisions and prognosis.[4,5] Although BCR-ABL1 is well recognized as the most common genetic subgroup in adult ALL,[5] to date, only limited biological characterization of older patients beyond the conventionally defined risk groups has been performed. One recent study provided a comprehensive genomic profile of 1,988 subjects with B-cell precursor (BCP)-ALL using a combination of transcriptome, whole genome and exome sequencing and identified 23 genetic subtypes.[6] Despite this impressive cohort, only 103 patients aged 60 years and over at diagnosis were included. Such efforts focused on older individuals are needed to improve prognostication and to identify novel therapeutic targets.[7,8] A proportion of patients do not harbor a cytogenetically visible disease-defining lesion, but have a gene expression profile similar to that of BCR-ABL1-positive disease (Ph-like/BCR-ABL-like ALL).[9,10] Approximately 50% of children and young adults with this entity have cytogen-etically-cryptic IGH-CRLF2 or P2RY8-CRLF2 rearrangements, which activate JAK-STAT signaling.[11,12] Other recurrent gene rearrangements include ABL-class fusions (affecting ABL1, ABL2, PDGFRB or CSF1R) in 9-13% of Phlike cases and the JAK-STAT pathway activating rearrangements of JAK2 or EPOR in 7-10% and 3-6% of patients, respectively.[11,12] To date, most studies have focused on pediatric and young adult (<60 years) cohorts,[11,13] although one study found the Ph-like signature in 24% of older BCP-ALL patients in a restricted subgroup lacking large scale aneuploidy.[12] Separately, ZNF384 and MEF2D rearrangements have been reported in 2-6% of pediatric BCP-ALL cases, and form distinct clinical entities.[14,15] Focal copy number abnormalities (CNA) frequently target genes that are involved in B-cell development or cell cycle regulation These secondary abnormalities drive transformation of a pre-leukemic clone into overt disease and include deletions of EBF1 on 5q33.3, IKZF1 on 7p12.2, CDKN2A and CDKN2B on 9p21.3, PAX5 on 9p13.2, ETV6 on 12p13.2, BTG1 on 12q21.33 and RB1 on 13q14.2.[16] Importantly, particular combinations of CNA have an impact on prognosis.[17-19] The IKZF1plus profile is based on the co-occurrence of IKZF1 deletion with deletions of CDKN2A, CDKN2B, PAX5 or the pseudoautosomal region 1 (PAR1) on Xp22.33/Yp11.31 (resulting in P2RY8-CRLF2 fusion) in the absence of ERG deletion.[17] This copy number profile is associated with a significantly poorer outcome in childhood ALL patients, highlighting the prognostic importance of large-scale copy number analyses. To date, profiling the genetic and genomic landscape of ALL has been primarily restricted to younger patients with few analyses focused on older individuals. Here, we applied cytogenetic, copy number and next-generation sequencing (NGS) techniques to investigate whether the primary and secondary genetic abnormalities of ALL in older adults are distinct from those encountered in their younger counterparts. We additionally sought to identify novel druggable targets, a particular priority for such patients because of the high toxicity and low success rates of traditional chemotherapeutic approaches in this group.[20]

Methods

Patients and samples

Patients aged 60 years and over were identified for genetic profiling studies from two large UK-wide multicenter clinical trials (UKALL14 and UKALL60+). The UKALL14 study is registered as NCT01085617 (h ttps://www.clinicaltrials.gov/ct2/show/NCT01085617), and the UKALL60+ study is registered as NCT01616238 https://clinicaltrials.gov/ct2/show/NCT01616238) (Online Supplementary Methods). Baseline cytogenetic analyses, typically consisting of a diagnostic karyotype and fluorescence in situ hybridization (FISH) for BCR-ABL1 fusion and KMT2A translocations, were performed in accredited diagnostic genetic laboratories throughout the UK and then centrally reviewed and entered into the Leukaemia Research Cytogenetics Group database. The study was approved by the institutional review board of each treatment center and all patients gave written informed consent for data collection and genetic studies as specified by the trials’ protocols.

Detection of primary genetic subgroups

Diagnostic karyotype and FISH results from the regional genetic centers were first examined and patients were coded into one of six subgroups: BCR-ABL1, TCF3-PBX1, KMT2A fusions, high hyperdiploidy (51-65 chromosomes), low hypodiploidy/near triploidy (HoTr) (30-39 or 60-78 chromosomes) or T-cell ALL (T-ALL). Reverse transcriptase polymerase chain reaction analysis was performed to identify the presence of Bcr-Abl p190, p210 and p230 oncoproteins in BCR-ABL1-positive cases. Next, all BCP-ALL cases lacking a primary chromosomal abnormality, hereafter termed B-other ALL, were identified. B-other cases with available fixed cell samples were further investigated by the Leukaemia Research Cytogenetics Group to determine the occurrence of cytogenetically cryptic abnormalities using dual color break-apart FISH probes for CRLF2, PDGFRB/CSF1R, ABL2, IGH, ZNF384, MEF2D (Cytocell, Cambridge, UK) and JAK2 (Kreatech Diagnostics, Amsterdam, the Netherlands). Separately, multiplex ligation-dependent probe amplification (MLPA) using the IKZF1-P335 kit (MRC Holland, the Netherlands) was performed on cases with available DNA as previously described[21] and permitted the detection of the P2RY8-CRLF2 fusion that occurs through PAR1 deletion on Xp22.33/Yp11.31.

Copy number analysis

Single nucleotide polymorphism (SNP) arrays were performed on DNA extracted from diagnostic bone marrow samples obtained at trial enrolment. SNP arrays were performed at the Newcastle Genomics Centre, Newcastle-upon-Tyne Hospitals NHS Foundation Trust using the Affymetrix Cytoscan HD (Affymetrix, Santa Clara, CA, USA) or Illumina CytoSNP 850k (Illumina, San Diego, CA, USA) arrays according to the manufacturers’ protocols. Deletions in IKZF1, CDKN2A, CDKN2B, PAX5, RB1, ETV6, EBF1 and BTG1 (‘driver genes’) were specifically identified from the SNP array results, with loss of any part of the gene considered significant. All arm-level and focal CNA were then examined to detect recurrent abnormalities.

Next-generation sequencing

Separately, targeted NGS analyses were performed on selected samples using a custom SureSelect XT2 target enrichment kit (Agilent, Santa Clara, CA, USA). Samples were selected based on availability of DNA and the presence of CNA by SNP array. The capture library was designed to target either the coding regions or full sequence of 44 genes that are well known to be implicated in ALL (Online Supplementary Table S1). Libraries were prepared in accordance with the manufacturer’s protocol and sequenced on the NextSeq 550 (Illumina, San Diego, CA, USA) using 100 bp paired-end chemistry (Online Supplementary Methods).

Survival analysis

Survival analysis was restricted to patients enrolled in UKALL14 because all these patients received similar intensive treatment with curative intent.[22] Patients were grouped according to primary chromosomal abnormalities as described previously.[23] Briefly, patients with complex karyotypes, HoTr or JAK-STAT activating rearrangements were classed as very high risk; patients with any KMT2A fusions were classed as high risk; patients with BCR-ABL1 and other kinase-activating fusions were classed as having tyrosine kinase-activating (TKA) abnormalities; all other BCP-ALL patients were classed as standard risk; and TALL patients were analyzed separately. All P-values were two-sided and, because of multiple testing, values <0.01 were considered statistically significant. All analyses were performed using Intercooled Stata (StataCorp, College Station, TX, USA) and R version 3.4.3 ().

Results

Patients’ demographics and baseline cytogenetics

We identified a total of 210 patients aged ≥60 years from the UKALL14 (n=95) and UKALL60+ (n=115) clinical trials. The median age of the patients was 64 years (range, 60-83) and 24% (n=50) were over 70 years at diagnosis. The male:female ratio was 1:1. In total, 90% (n=189) had confirmed BCP-ALL and 5% (n=11) had T-cell disease. The remaining 5% (n=10) did not have a diagnostic immunophenotype centrally recorded. Numbers of patients decreased with advancing age but no significant difference was seen in the genetic subgroups represented in different age groups (P=0.47) (Figure 1A, B). The most prevalent abnormality was BCR-ABL1, present in 28% (55/200) of evaluable patients. Of these, the p210, p190 and p230 isoforms were present in 40% (22/55), 33% (18/55) and <1% (1/55) of patients, respectively. Two patients had both p190 and p210 isoforms identified and the Bcr-Abl isoform was unknown in the remaining 22% (12/55) patients. Low hypodiploidy/near triploidy (HoTr) was the second most prevalent primary chromosomal abnormality and was identified in 14% (28/200) of patients (Online Supplementary Table S2) and KMT2A-v rearrangements were discovered in a further 6% (12/200) of patients. Of the patients with BCP-ALL, 47% (88/189) did not have a primary chromosomal abnormality identified by routine cytogenetic and FISH analyses performed in regional cytogenetic centers (B-other ALL).
Figure 1.

Distribution of primary chromosomal abnormalities by age groups across 210 adults aged ≥60 years. Primary genetic abnormalities shown by 5-year age groups, displayed by number (A) and proportion of cases (B) in each age group. Frequency of final genetic subgroups is shown following screening of B-other acute lymphoblastic leukemia cases for gene rearrangements (C). HoTr: low hypodiploidy/near triploidy; HeH: high hyperdiploidy; T-cell: T-cell acute lymphoblastic leukemia; Bother: B-cell precursor acute lymphoblastic leukemia in which no primary chromosomal abnormality was identified.

Among the 11 patients with T-ALL, TLX1 (n=1) and TLX3 (n=1) rearrangements were identified. The other nine patients either had no rearrangements identified (n=5) or were not tested (n=4). Individual patients’ demographic, clinical and genetic data are shown in Online Supplementary Table S3.

Gene rearrangements in patients with B-other acute lymphoblastic leukemia

Patients with B-other ALL included those with normal (n=21), failed (n=25) or complex karyotypes (n=5). Patients with dic(9;12) (n=2), IGH translocation (n=5) or other non-subgroup-defining chromosomal abnormalities (n=30) were also included in the B-other category. Fixed cell samples were available for 74% (65/88) of B-other patients and gene rearrangements were identified in 21% (19/65) (Table 2). Not all samples could be screened for all abnormalities due to lack of availability of material for multiple FISH experiments.
Table 2.

Frequency of individual deletions in known driver genes split by BCR-ABL1 status. Significant differences identified in rate of IKZF1, ETV6 and RB1 deletions between BCR-ABL1-positive (BCR-ABL+) and BCR-ABL1 negative (BCR-ABL1-) cases.

CRLF2 rearrangements were identified in 17% (8/48) of successfully screened cases. The CRLF2 rearrangement partners were IGH (n=5), P2RY8 (n=2) and unknown (n=1). Two additional patients had P2RY8-CRLF2 fusion identified by MLPA, through the presence of PAR1 deletion (Table 1). IGH translocations were present in 26% (14/53) of B-other samples tested. Of these, five cases accounted for patients with IGH-CRLF2 translocations detailed above, and three cases had separate primary genetic abnormalities identified (one ZNF384 translocation and two P2RY8-CRLF2 fusions). In the remaining six samples, the IGH partners were CEBPA (n=1), CEBPD (n=1), CEBPE (n=1), BCL2 (n=1) and unknown (n=2). ZNF384 and MEF2D rearrangements were each identified in 8% (3/40) and 3% (1/39) of screened B-other cases, respectively.
Table 1.

Clinical and outcome data for all B-other patients with gene rearrangements detected by fluorescence in situ hybridization or multiplex ligation-dependent probe amplification.

In total, CRLF2, IGH, and ZNF384 rearrangements were present in 5%, 3% and 1% of the complete patient cohort, respectively (Figure 1C). No variant ABL1 (0/83), PDGFRB (0/56), JAK2 (0/53) or ABL2 (0/52) rearrangements were detected.

Copy number alterations

SNP arrays were performed on diagnostic bone marrow samples from 78 of the 210 patients (49 from UKALL14 and 29 from UKALL60+) using the Illumina CytoSNP 850k (n=51) and Affymetrix Cytoscan HD (n=27) arrays. The SNP array cohort was reasonably representative of the whole cohort of patients, although BCR-ABL1-positive patients were slightly over-represented (Online Supplementary Table S4). Deletions were more frequent than gains in all cytogenetic subgroups apart from high hyperdiploidy. Following the exclusion of probable constitutional copy number variations, as described in the Online Supplementary Methods, a median of seven deletions (range, 0-52) and one gain (range, 0-29) were seen per patient sample. In the 68/78 patients without a primary ploidy shift (defined as HoTr and high hyperdiploidy), large deletions on 9p were the most prevalent arm-level CNA, seen in 22% (15/68) of cases (Figure 2, Online Supplementary Table S5). An additional copy of the Philadelphia chromosome was present in 12% (8/68) of patients (26% of BCR-ABL1-positive cases) and 1q gains and monosomy 7 were each present in 10% (7/68) of samples.
Figure 2.

Complete copy number profile based on single nucleotide polymorphism array results from all 78 patients included in the single nucleotide polymorphism array cohort. Only copy number alterations present in at least three patients' samples are displayed. HoTr: low hypodiploidy/near triploidy; HeH: high hyperdiploidy; T-ALL: T-cell acute lymphoblastic leukemia; B-other: B-cell precursor acute lymphoblastic leukemia in which no primary chromosomal abnormality was identified.

Of the CNA in known driver genes, IKZF1 deletions were the most frequent abnormality, present in 51% (40/78) of cases. These were focal intragenic deletions in 19 cases, most commonly involving exons 4-7 (n=11) or exons 2-7 (n=4). Rarer IKZF1 deletions involved exons 4-8 (n=2), exons 2-8 (n=1) and one patient had biallelic IKZF1 loss involving exons 2-7 and 2-8. Focal IKZF1 deletions were almost exclusively seen in patients with BCR-ABL1 (n=13) or CRLF2 rearrangements (n=5) (Online Supplementary Table S6). In the remaining cases, IKZF1 loss resulted from monosomy 7 (n=16) or del(7p) (n=5) (Figure 2, Online Supplementary Table S6). The pattern of gene deletions varied by BCR-ABL1 status with a higher frequency of IKZF1 deletion in BCR-ABL1-positive ALL, as previously described,[24] and a higher frequency of ETV6 and RB1 deletions in BCR-ABL1-negative ALL (Table 2). Most deletions were heterozygous with the exception of CDKN2A/B which were homozygous in 50% of cases. Clinical and outcome data for all B-other patients with gene rearrangements detected by fluorescence in situ hybridization or multiplex ligation-dependent probe amplification. Distribution of primary chromosomal abnormalities by age groups across 210 adults aged ≥60 years. Primary genetic abnormalities shown by 5-year age groups, displayed by number (A) and proportion of cases (B) in each age group. Frequency of final genetic subgroups is shown following screening of B-other acute lymphoblastic leukemia cases for gene rearrangements (C). HoTr: low hypodiploidy/near triploidy; HeH: high hyperdiploidy; T-cell: T-cell acute lymphoblastic leukemia; Bother: B-cell precursor acute lymphoblastic leukemia in which no primary chromosomal abnormality was identified. In total, 23% (18/78) of patients had no deletions in driver genes, 18% (14/78) had one deletion, 18% (14/78) had two deletions, 23% (18/78) had three deletions and 18% (14/78) had four or more gene deletions (Online Supplementary Figure S1). IKZF1 deletions in particular co-occurred with other gene deletions much more commonly than in isolation (46% vs. 5%). The IKZF1plus profile[17] was present in 36% (28/77) of the BCP-ALL samples, specifically in BCR-ABL1-positive (n=13), B-other (n=8) and HoTr (n=7) patients. We detected recurrent focal CNA in several other genes, which to date have not been defined in the pathogenesis of ALL. Focal deletions in LEMD3 on 12q14.3 and KDM6A on Xp11.3 were seen in 6% (5/78) and 5% (4/78) of cases, respectively. Demographic, genetic and outcome features of affected cases are shown in Table 3. LEMD3 deletions ranged from 11-32kb in size (Online Supplementary Table S7 and Online Supplementary Figure S2), although they were confined to intron 2 of the gene in three of these. KDM6A deletions ranged from 56-316 kb in size and were homozygous or hemizygous in three of the four cases (Online Supplementary Table S7). Deletion breakpoints for all LEMD3 and KDM6A deletions were visually confirmed in IGV in the cases analyzed by NGS.
Table 3.

Demographic, clinical and outcome data of all cases with focal LEMD3 or KDM6A deletions.

Mutational landscape

Twenty-three patients’ samples covering all major genetic subgroups (Online Supplementary Table S3) were successfully sequenced using the 44-gene targeted panel. Across these samples, 25 single nucleotide variants and eight indels were identified (Figure 3). At least one gene in the NGS panel was mutated in 74% (17/23) of patients. Pathogenic mutations in the RAS signaling pathway were identified in 17% (4/23) of cases. KRAS p.G12D and KRAS p.R68W variants were seen in patients with KMT2A and EP300-ZNF384 rearrangements, respectively. NRAS p.G12S and p.G12D were present in one B-other case and one patient with unidentified genetic subgroup, respectively. With the exception of the KRAS p.R68W variant, all RAS pathway mutations are reported in the COSMIC database.[25]
Figure 3.

Mutations detected by the 44-gene next-generation sequencing panel in 23 patients. Only patients’ samples with at least one mutation are displayed (n=17). In total, 24 single nucleotide variants, seven frameshift insertions and one frameshift deletion were identified. Two genes had both single nucleotide variants and indels within the same case (“multi-hit”). HoTr: low hypodiploidy/near triploidy; T-ALL: T-cell acute lymphoblastic leukemia; B-other: B-cell precursor acute lymphoblastic leukemia in which no primary chromosomal abnormality was identified.

Complete copy number profile based on single nucleotide polymorphism array results from all 78 patients included in the single nucleotide polymorphism array cohort. Only copy number alterations present in at least three patients' samples are displayed. HoTr: low hypodiploidy/near triploidy; HeH: high hyperdiploidy; T-ALL: T-cell acute lymphoblastic leukemia; B-other: B-cell precursor acute lymphoblastic leukemia in which no primary chromosomal abnormality was identified. Frequency of individual deletions in known driver genes split by BCR-ABL1 status. Significant differences identified in rate of IKZF1, ETV6 and RB1 deletions between BCR-ABL1-positive (BCR-ABL+) and BCR-ABL1 negative (BCR-ABL1-) cases. Two patients’ samples with HoTr were included. Consistent with the underlying chromosomal abnormality, a pathogenic TP53 variant (TP53 p.R282W) was detected in one of these.[26,27] Two indels in NF1 and an FLT3 missense variant (FLT3 p.V194M) were also seen, the latter being reported as a tolerated passenger mutation in acute myeloid leukemia.[28] Known pathogenic variants were also seen in JAK2 (JAK2 p.R683T in a patient with IGH-CRLF2), CREBBP (CREBBP p.L1499Q in a patient with IGH-BCL2), and CSF1R (CSF1R p.V32G in a patient with P2RY8-CRLF2). Additionally, previously unreported KDM6A mutations were discovered in two BCR-ABL1-positive patients (KDM6A p.Y215H and p.K987Q). We also investigated whether mutations associated with clonal hematopoiesis of indeterminate potential (CHIP) (most commonly affecting DNMT3A, TET2 and ASXL1) were present in older adults with ALL.[29,30] These are found in 10% of adults over the age of 65 years without hematologic diseases, but are associated with an increased risk of subsequently developing myelodysplastic syndrome or acute myeloid leukemia.[30] Overall, these were discovered in only 13% (3/23) of cases with single variants in each of DNMT3A, TET2 and ASXL1. Demographic, clinical and outcome data of all cases with focal LEMD3 or KDM6A deletions. Mutations detected by the 44-gene next-generation sequencing panel in 23 patients. Only patients’ samples with at least one mutation are displayed (n=17). In total, 24 single nucleotide variants, seven frameshift insertions and one frameshift deletion were identified. Two genes had both single nucleotide variants and indels within the same case (“multi-hit”). HoTr: low hypodiploidy/near triploidy; T-ALL: T-cell acute lymphoblastic leukemia; B-other: B-cell precursor acute lymphoblastic leukemia in which no primary chromosomal abnormality was identified. KDM6A deletions identified by single nucleotide polymorphism (SNP) array in four patients’ samples (A). Each bar represents a probe on the SNP array. Red colors indicate negative log2 ratio (copy number loss), blue colors represent positive log2 ratio (copy number gain), and white represents no copy number change. Homozygous KDM6A deletion in patient 25437, demonstrating two slightly distinct KDM6A deletions measuring 110 kb and 87 kb, and resulting in biallelic loss of exons 3-6 (B). Small gain also noted following segment of homozygous deletion. KDM6A protein plot displaying two mutations detected by next-generation sequencing (C).

KDM6A alterations

Overall KDM6A was disrupted in six cases, with focal deletions in 5% (4/78) of SNP array samples (Table 3) and mutations in 9% (2/23) of NGS samples (Figure 3). Interestingly, the deletions resulted in homozygous or hemizygous KDM6A loss in three of the four cases (Figure 4A, Online Supplementary Table S7). Biallelic KDM6A deletions were seen in the two female patients with HoTr ALL, albeit by two different mechanisms. By cytogenetics and SNP array, patient #29407 had lost one copy of chromosome X and had a focal KDM6A deletion in the remaining homologue. In comparison, patient #25437 had two focal but subtly distinct intragenic KDM6A microdeletions on each X chromosome (Figure 4B). As KDM6A is not in a pseudoautosomal region, the male patient (#28011) had a deletion affecting the only KDM6A allele, resulting in hemizygous loss. The KDM6A mutations detected by NGS were present in exons 8 (KDM6A p.Y215H) and 20 (KDM6A p.K987Q) (Figure 5C) and are not reported in the literature although the SIFT[31] and Polyphen[32] in silico prediction tools describe deleterious and probably damaging consequences, respectively, consistent with loss of function. Patients with KDM6A deletions had a poor outcome and all four affected patients died 5-18 months after diagnosis (Table 2). Similarly, the two patients with KDM6A mutations both died within 2 months of diagnosis.
Figure 4.

KDM6A deletions identified by single nucleotide polymorphism (SNP) array in four patients’ samples (A). Each bar represents a probe on the SNP array. Red colors indicate negative log2 ratio (copy number loss), blue colors represent positive log2 ratio (copy number gain), and white represents no copy number change. Homozygous KDM6A deletion in patient 25437, demonstrating two slightly distinct KDM6A deletions measuring 110 kb and 87 kb, and resulting in biallelic loss of exons 3-6 (B). Small gain also noted following segment of homozygous deletion. KDM6A protein plot displaying two mutations detected by next-generation sequencing (C).

Figure 5.

Overall survival and event-free survival for 95 adults aged .60 years recruited into the UKALL14 study. Overall survival (A) and event-free survival (B) for all patients combined; overall survival (C) and event-free survival (D) split by genetic risk group with very high risk and high risk combined into a single group. Patients with complex karyotypes, low hypodiploidy/near triploidy or CRLF2 rearrangements were classed as very high risk; patients with any KMT2A fusions were classed as high risk; patients with BCR-ABL1 and other kinase-activating fusions were classed as tyrosine kinase-activating abnormalities (all BCR-ABL1-positive in this study); all other patients with B-cell precursor acute lymphoblastic leukemia were classed as standard risk (SR). Patients with SR or BCR-ABL1 had improved overall survival (P=0.001) and event-free survival (P=0.002) compared to patients with high or very high risk disease.

Patients’ outcome by genetic subtype

Outcome data were available for analysis for all 95 UKALL14 patients. Five-year event-free survival and overall survival rates were 17% and 24%, respectively (Figure 5, Online Supplementary Table S8). Even though the outcome of these older patients was poor there was evidence that tumor genetics remained a strong risk factor (Figure 5), as we have previously demonstrated for younger adults.[23] Patients with standard-risk genetics had the best outcome with 84% entering remission and 5-year event-free and overall survival rates of 28% and 41%, respectively. In comparison, over a third of patients with very high-risk genetics did not go into remission and all 28 patients with genetic high-risk or very high-risk disease died within 5 years of diagnosis. Overall survival and event-free survival for 95 adults aged .60 years recruited into the UKALL14 study. Overall survival (A) and event-free survival (B) for all patients combined; overall survival (C) and event-free survival (D) split by genetic risk group with very high risk and high risk combined into a single group. Patients with complex karyotypes, low hypodiploidy/near triploidy or CRLF2 rearrangements were classed as very high risk; patients with any KMT2A fusions were classed as high risk; patients with BCR-ABL1 and other kinase-activating fusions were classed as tyrosine kinase-activating abnormalities (all BCR-ABL1-positive in this study); all other patients with B-cell precursor acute lymphoblastic leukemia were classed as standard risk (SR). Patients with SR or BCR-ABL1 had improved overall survival (P=0.001) and event-free survival (P=0.002) compared to patients with high or very high risk disease. Regarding patients with B-other ALL with gene rearrangements identified, all three patients with ZNF384-rearranged ALL survived more than 2 years from diagnosis whereas six out of eight of those with CRLF2 rearrangements and four out of six with IGH translocations (excluding CRLF2 partners) died within 2 years (Table 1). Of the 40 patients with IKZF1 deletions, no significant difference in outcome was identified between those with focal deletions of exons 4-7 (generating the dominant negative IK6 isoform)[33] compared with patients with other IKZF1 deletions (Online Supplementary Table S9).

Discussion

To our knowledge, our study provides the largest genetic and genomic characterization to date of older adults with ALL. The landscape of primary chromosomal abnormalities and CNA is distinct from that observed in children and younger adults. T-ALL was only seen in 5% of cases, which is less than half the rate seen in younger adults.[34] Overall, a quarter of patients had BCR-ABL1-positive ALL, although the frequency of this did not increase further over the age of 60 years. This corroborates the findings from a large analysis of three German Multicenter study group for adult ALL (GMALL) trials in which the proportion of BCR-ABL1-positive cases reached a plateau after 45 years of age.[35] In comparison, our study highlights that HoTr becomes more common with advancing age, such that it is encountered in <2% of childhood patients,[36] 4-9% of adults aged 25-60,[23] rising to around 15% of adults aged 60 years and over in our cohort. Other high-risk cytogenetic subgroups, specifically KMT2A fusions and complex karyotypes were present in 6% and 3% of patients, respectively, which are similar rates to those seen in younger adults.[5,23] We found a lower frequency of CRLF2 rearrangements than found in two USA studies that included older adults.[12,37] This could be related to the higher prevalence of Hispanic ancestry in the USA, and the associated inheritance of GATA3 risk alleles, which confer an elevated risk of CRLF2-rearranged ALL.[38] In comparison to younger patients, ABL-class fusions were notably absent in our cohort. Other studies have similarly identified very low frequencies of ABL-class fusions in older individuals. Indeed, only two cases were identified in 103 adults aged 60 years or over in a recent large USA study.[6] Data from the GMALL group similarly demonstrated a rapid decrease in the frequency of Ph-like ALL in older age groups.[39] Although we limited our survival analysis to UKALL14 patients, we highlight that prognosis remains very poor in older adults with ALL (Figure 5). However, consistent with recent studies, patients with ZNF384 rearrangements seemed to have a favorable outcome.[23] CNA in key genes recurrently disrupted in ALL were discovered in the majority of patients. IKZF1 loss was present in over half of all cases tested by SNP array, occurring in 68% of BCR-ABL1-positive and 40% of BCR-ABL1-negative ALL. The high rate of IKZF1 loss in BCR-ABL1-positive ALL is consistent with much of the published literature.[24,40] However, the frequency of IKZF1 deletion in the older patients with BCR-ABL1-negative ALL was double that reported in younger adults (40% vs. 19%).[41] This discrepancy is at least in part driven by the increased frequency of low hypodiploid cases, as these usually only retain one copy of chromosome 7. However, IKZF1 deletions were still encountered in 36% (10/28) of B-other cases. Deletions in other key driver genes in BCP-ALL (CDKN2A/B, PAX5, RB1, ETV6 and EBF1) were also encountered more frequently than in younger patients.[23] The high-risk IKZF1 copy number profile was identified in over a third of patients, although its prognostic impact in older adults still needs to be elucidated. Interestingly, no focal ERG deletions, which are associated with a favorable outcome, were detected.[42] Overall, these data confirm that all genetic biomarkers typically associated with a good prognosis, namely ETV6-RUNX1 fusion, high hyperdiploidy and ERG deletions are exceedingly rare in older adults with ALL, contributing to the adverse outcomes of this population of patients. By virtue of the techniques used, we recognize that we were not able to identify certain novel subgroups, such as the recently described PAX5-driven subtypes[6] or DUX4 rearrangements, although the latter are associated with ERG deletions in the majority of cases.[43] Importantly, our study highlighted therapeutically actionable targets that would merit further investigation in older adults. We identified KDM6A deletions and mutations in 5% (4/78) and 9% (2/23) of screened patients, respectively. KDM6A (also known as UTX) on Xp11.3 is an H3K27me3 demethylase, involved in epigenetic regulation through repression of PRC2/EZH2 activity. Recurrent KDM6A mutations have been identified in T-ALL, and have been shown to have gender-specific tumor suppressor effects.[44] KDM6A escapes X-inactivation in females and therefore retains biallelic expression. Hence, loss of tumor suppressor function through KDM6A abnormalities disproportionately affects males and has been postulated to explain the skewed gender distribution of T-ALL. To our knowledge, our study is the first to demonstrate KDM6A disruption in a significant proportion of older adults with ALL, most of whom had B-cell disease. Most interestingly, we have highlighted homozygous KDM6A deletions in female patients, and no evidence of skewed gender distribution. Loss of KDM6A function, resulting in EZH2 overactivity, has been shown to play an important pathogenic role in urothelial bladder cancer[45] and functional analyses have demonstrated susceptibility of KDM6A-null cell lines to the Food and Drug Administration-approved EZH2 inhibitor tazemetostat.[45] Our findings therefore identify a proportion of patients who may respond to EZH2 inhibition, a treatment as yet untested in ALL. We also discovered recurrent small focal intragenic deletions in LEMD3 in 6% (5/78) of cases. LEMD3 regulates bone morphogenic protein and transforming growth factor b signaling and to date has not been implicated in cancer.[46] The significance of these deletions remains speculative, particularly as some were confined to introns. Recurrent RAS pathway mutations were identified in almost one fifth of patients (4/23), all of whom had BCR-ABL1-negative ALL. These activate RAS signaling and are potentially therapeutically actionable through MEK inhibition (e.g., with selumetinib). Older adults with ALL fare extremely poorly with current chemotherapeutic approaches. Various studies have demonstrated the disproportionate treatment toxicities experienced by this group of patients, leading to treatment omissions or delays.[20] Our analysis confirms the additional challenges posed by the high proportion of poor-risk genetic subgroups. Moving forward, the comprehensive identification of druggable targets such as KDM6A abnormalities, JAK-STAT-activating rearrangements or RAS pathway mutations presents an opportunity to expand therapeutic options, likely to most benefit this patient population. As a paradigm, significant progress has been made in the management of BCR-ABL1-positive disease through these approaches, culminating in a promising chemotherapy-free protocol.[47] Further dedicated clinical trials that include comprehensive genomic profiling of older adults, combined with targeted treatments and/or immunotherapy and a reduction in the traditional chemotherapy backbone will be key to improving the dismal outcome of these patients.
  46 in total

1.  Deregulation of DUX4 and ERG in acute lymphoblastic leukemia.

Authors:  Jinghui Zhang; Kelly McCastlain; Hiroki Yoshihara; Beisi Xu; Yunchao Chang; Michelle L Churchman; Gang Wu; Yongjin Li; Lei Wei; Ilaria Iacobucci; Yu Liu; Chunxu Qu; Ji Wen; Michael Edmonson; Debbie Payne-Turner; Kerstin B Kaufmann; Shin-Ichiro Takayanagi; Erno Wienholds; Esmé Waanders; Panagiotis Ntziachristos; Sofia Bakogianni; Jingjing Wang; Iannis Aifantis; Kathryn G Roberts; Jing Ma; Guangchun Song; John Easton; Heather L Mulder; Xiang Chen; Scott Newman; Xiaotu Ma; Michael Rusch; Pankaj Gupta; Kristy Boggs; Bhavin Vadodaria; James Dalton; Yanling Liu; Marcus L Valentine; Li Ding; Charles Lu; Robert S Fulton; Lucinda Fulton; Yashodhan Tabib; Kerri Ochoa; Meenakshi Devidas; Deqing Pei; Cheng Cheng; Jun Yang; William E Evans; Mary V Relling; Ching-Hon Pui; Sima Jeha; Richard C Harvey; I-Ming L Chen; Cheryl L Willman; Guido Marcucci; Clara D Bloomfield; Jessica Kohlschmidt; Krzysztof Mrózek; Elisabeth Paietta; Martin S Tallman; Wendy Stock; Matthew C Foster; Janis Racevskis; Jacob M Rowe; Selina Luger; Steven M Kornblau; Sheila A Shurtleff; Susana C Raimondi; Elaine R Mardis; Richard K Wilson; John E Dick; Stephen P Hunger; Mignon L Loh; James R Downing; Charles G Mullighan
Journal:  Nat Genet       Date:  2016-10-24       Impact factor: 38.330

2.  IKZF1plus Defines a New Minimal Residual Disease-Dependent Very-Poor Prognostic Profile in Pediatric B-Cell Precursor Acute Lymphoblastic Leukemia.

Authors:  Martin Stanulla; Elif Dagdan; Marketa Zaliova; Anja Möricke; Chiara Palmi; Giovanni Cazzaniga; Cornelia Eckert; Geertruy Te Kronnie; Jean-Pierre Bourquin; Beat Bornhauser; Rolf Koehler; Claus R Bartram; Wolf-Dieter Ludwig; Kirsten Bleckmann; Stefanie Groeneveld-Krentz; Denis Schewe; Stefanie V Junk; Laura Hinze; Norman Klein; Christian P Kratz; Andrea Biondi; Arndt Borkhardt; Andreas Kulozik; Martina U Muckenthaler; Giuseppe Basso; Maria Grazia Valsecchi; Shai Izraeli; Britt-Sabina Petersen; Andre Franke; Petra Dörge; Doris Steinemann; Oskar A Haas; Renate Panzer-Grümayer; Hélène Cavé; Richard S Houlston; Gunnar Cario; Martin Schrappe; Martin Zimmermann
Journal:  J Clin Oncol       Date:  2018-03-02       Impact factor: 44.544

3.  Prognostic effect of chromosomal abnormalities in childhood B-cell precursor acute lymphoblastic leukaemia: results from the UK Medical Research Council ALL97/99 randomised trial.

Authors:  Anthony V Moorman; Hannah M Ensor; Sue M Richards; Lucy Chilton; Claire Schwab; Sally E Kinsey; Ajay Vora; Chris D Mitchell; Christine J Harrison
Journal:  Lancet Oncol       Date:  2010-04-19       Impact factor: 41.316

4.  Improved survival in adult patients with acute lymphoblastic leukemia in the Netherlands: a population-based study on treatment, trial participation and survival.

Authors:  A G Dinmohamed; A Szabó; M van der Mark; O Visser; P Sonneveld; J J Cornelissen; M Jongen-Lavrencic; A W Rijneveld
Journal:  Leukemia       Date:  2015-08-19       Impact factor: 11.528

5.  Dasatinib-Blinatumomab for Ph-Positive Acute Lymphoblastic Leukemia in Adults.

Authors:  Robin Foà; Renato Bassan; Antonella Vitale; Loredana Elia; Alfonso Piciocchi; Maria-Cristina Puzzolo; Martina Canichella; Piera Viero; Felicetto Ferrara; Monia Lunghi; Francesco Fabbiano; Massimiliano Bonifacio; Nicola Fracchiolla; Paolo Di Bartolomeo; Alessandra Mancino; Maria-Stefania De Propris; Marco Vignetti; Anna Guarini; Alessandro Rambaldi; Sabina Chiaretti
Journal:  N Engl J Med       Date:  2020-10-22       Impact factor: 91.245

6.  BCR-ABL1 lymphoblastic leukaemia is characterized by the deletion of Ikaros.

Authors:  Charles G Mullighan; Christopher B Miller; Ina Radtke; Letha A Phillips; James Dalton; Jing Ma; Deborah White; Timothy P Hughes; Michelle M Le Beau; Ching-Hon Pui; Mary V Relling; Sheila A Shurtleff; James R Downing
Journal:  Nature       Date:  2008-04-13       Impact factor: 49.962

7.  Inherited GATA3 variants are associated with Ph-like childhood acute lymphoblastic leukemia and risk of relapse.

Authors:  Virginia Perez-Andreu; Kathryn G Roberts; Richard C Harvey; Wenjian Yang; Cheng Cheng; Deqing Pei; Heng Xu; Julie Gastier-Foster; Shuyu E; Joshua Yew-Suang Lim; I-Ming Chen; Yiping Fan; Meenakshi Devidas; Michael J Borowitz; Colton Smith; Geoffrey Neale; Esteban G Burchard; Dara G Torgerson; Federico Antillon Klussmann; Cesar Rolando Najera Villagran; Naomi J Winick; Bruce M Camitta; Elizabeth Raetz; Brent Wood; Feng Yue; William L Carroll; Eric Larsen; W Paul Bowman; Mignon L Loh; Michael Dean; Deepa Bhojwani; Ching-Hon Pui; William E Evans; Mary V Relling; Stephen P Hunger; Cheryl L Willman; Charles G Mullighan; Jun J Yang
Journal:  Nat Genet       Date:  2013-10-20       Impact factor: 38.330

8.  SIFT web server: predicting effects of amino acid substitutions on proteins.

Authors:  Ngak-Leng Sim; Prateek Kumar; Jing Hu; Steven Henikoff; Georg Schneider; Pauline C Ng
Journal:  Nucleic Acids Res       Date:  2012-06-11       Impact factor: 16.971

9.  Loss-of-function but not dominant-negative intragenic IKZF1 deletions are associated with an adverse prognosis in adult BCR-ABL-negative acute lymphoblastic leukemia.

Authors:  Benjamin Kobitzsch; Nicola Gökbuget; Stefan Schwartz; Richard Reinhardt; Monika Brüggemann; Andreas Viardot; Ralph Wäsch; Michael Starck; Eckhard Thiel; Dieter Hoelzer; Thomas Burmeister
Journal:  Haematologica       Date:  2017-07-27       Impact factor: 9.941

10.  High incidence of Philadelphia chromosome-like acute lymphoblastic leukemia in older adults with B-ALL.

Authors:  S K Tasian; C Hurtz; G B Wertheim; N G Bailey; M S Lim; R C Harvey; I-M Chen; C L Willman; R Astles; A Zebrowski; S C Reshmi; M M Li; N V Frey; S M Luger; M Carroll; A E Perl
Journal:  Leukemia       Date:  2016-12-09       Impact factor: 11.528

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  1 in total

1.  Clinical and Prognostic Impact of Copy Number Alterations and Associated Risk Profiles in a Cohort of Pediatric B-cell Precursor Acute Lymphoblastic Leukemia Cases Treated Under ICiCLe Protocol.

Authors:  Sanjeev Kumar Gupta; Minu Singh; Pragna H Chandrashekar; Sameer Bakhshi; Amita Trehan; Ritu Gupta; Rozy Thakur; Smeeta Gajendra; Preity Sharma; Sreejesh Sreedharanunni; Manupdesh S Sachdeva; Deepam Pushpam; Neelam Varma; Deepak Bansal; Richa Jain; Srinivasan Peyam; Anthony V Moorman; Prateek Bhatia
Journal:  Hemasphere       Date:  2022-09-30
  1 in total

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