Recurrent and clonal genetic alterations are characteristic of different subtypes of T- and B-cell lymphoblastic leukemia (ALL), and several subtypes are strong independent predictors of clinical outcome. A next-generation sequencing-based multiplex ligation-dependent probe amplification variant (digitalMLPA) has been developed enabling simultaneous detection of copy number alterations (CNAs) of up to 1000 target sequences. This novel digitalMLPA assay was designed and optimized to detect CNAs of 56 key target genes and regions in ALL. A set of digital karyotyping probes has been included for the detection of gross ploidy changes, to determine the extent of CNAs, while also serving as reference probes for data normalization. Sixty-seven ALL patient samples (including B- and T-cell ALL), previously characterized for genetic aberrations by standard MLPA, array comparative genomic hybridization, and/or single-nucleotide polymorphism array, were analyzed single blinded using digitalMLPA. The digitalMLPA assay reliably identified whole chromosome losses and gains (including high hyperdiploidy), whole gene deletions or gains, intrachromosomal amplification of chromosome 21, fusion genes, and intragenic deletions, which were confirmed by other methods. Furthermore, subclonal alterations were reliably detected if present in at least 20% to 30% of neoplastic cells. The diagnostic sensitivity of the digitalMLPA assay was 98.9%, and the specificity was 97.8%. These results merit further consideration of digitalMLPA as a valuable alternative for genetic work-up of newly diagnosed ALL patients.

Recurrent clonal genetic alterations are the hallmark of Acute Lymphoblastic Leukemia (ALL) and govern the risk stratification, response to treatment and clinical outcome. In this retrospective study conducted on ALL patient samples, the purpose was to estimate the copy number alterations (CNAs) in ALL by digitalMLPA (dMLPA), validation of the dMLPA data by conventional MLPA and RT-PCR, and correlation of CNAs with Minimal Residual Disease (MRD) status. The ALL patient samples (n = 151; B-ALL, n = 124 cases and T-ALL, n = 27 cases) were assessed for CNAs by dMLPA for detection of sub-microscopic CNAs and ploidy status. This assay allowed detection of ploidy changes and CNAs by multiplexing of karyotyping probes and probes covering 54 key gene targets implicated in ALL. Using the dMLPA assay, CNAs were detected in ~89% (n = 131) of the cases with 66% of the cases harboring ≥3 CNAs. Deletions in CDKN2A/B, IKZF1, and PAX5 genes were detectable in a quarter of these cases. Heterozygous and homozygous gene deletions, and duplications were observed in genes involved in cell cycle control, tumor suppression, lineage differentiation, lymphoid signaling, and transcriptional regulators with implications in treatment response and survival outcome. Distinct CNAs profiles were evident in B-ALL and T-ALL cases. Additionally, the dMLPA assay could reliably identify ploidy status and copy number-based gene fusions (SIL-TAL1, NUP214-ABL, EBF1-PDGFRB). Cases of B-ALL with no detectable recurrent genetic abnormalities could potentially be risk stratified based on the CNA profile. In addition to the commonly used gene deletions for risk assessment (IKZF1, EBF1, CDKN2A/B), we identified a broader spectrum of gene alterations (gains of- RUNX1, LEF1, NR3C2, PAR1, PHF6; deletions of- NF1, SUZ12, MTAP) that significantly correlated with the status of MRD clearance. The CNAs detected by dMLPA were validated by conventional MLPA and showed high concordance (r = 0.99). Our results demonstrated dMLPA to be a robust and reliable alternative for rapid detection of key CNAs in newly diagnosed ALL patients. Integration of ploidy status and CNAs detected by dMLPA with cytogenetic and clinical risk factors holds great potential in further refinement of patient risk stratification and response to treatment in ALL.

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Background: We previously showed that BRCA-like profiles can be used to preselect individuals with the highest risk of carrying BRCA mutations but could also indicate which patients would benefit from double-strand break inducing chemotherapy. A simple, robust, and reliable assay for clinical use that utilizes limited amounts of formalin-fixed, paraffin-embedded tumor tissue to assess BRCAness status in both ER-positive and ER-negative breast cancer (BC) is currently lacking. Methods: A digital multiplex ligation-dependent probe amplification (digitalMLPA) assay was designed to detect copy number alterations required for the classification of BRCA1-like and BRCA2-like BC. The BRCA1-like classifier was trained on 71 tumors, enriched for triple-negative BC; the BRCA2-like classifier was trained on 55 tumors, enriched for luminal-type BC. A shrunken centroid-based classifier was developed and applied on an independent validation cohort. A total of 114 cases of a randomized controlled trial were analyzed, and the association of the classifier result with intensified platinum-based chemotherapy response was assessed. Results: The digitalMLPA BRCA1-like classifier correctly classified 91% of the BRCA1-like samples and 82% of the BRCA2-like samples. Patients with a BRCA-like tumor derived significant benefit of high-dose chemotherapy (adjusted hazard ratio (HR) 0.12, 95% CI 0.04-0.44) which was not observed in non-BRCA-like patients (HR 0.9, 95% CI 0.37-2.18) (p = 0.01). Analysis stratified for ER status showed borderline significance. Conclusions: The digitalMLPA is a reliable method to detect a BRCA1-and BRCA2-like pattern on clinical samples and predicts platinum-based chemotherapy benefit in both triple-negative and luminal-type BC.

Introduction: Acute lymphoblastic leukemia (ALL) is the most common pediatric malignancy characterized by a heterogeneous genomic landscape. Copy number aberrations (CNA) emerge during the development, progression and treatment resistance of ALL, and can serve as genomic markers for prognostic classification of patients or for scrutinizing clonal evolution associated with relapse. While identification of distinct CNAs with well-characterized prognostic significance has its own value, uncovering the co-segregation of driver aberrations in individual patient samples could allow for a more personalized risk assessment and treatment response prediction. Methods: Disease-relevant CNAs were profiled in children with B- or T-cell precursor ALL using a next-generation sequencing based digital multiplex ligation-dependent probe amplification (digitalMLPA) assay containing 598 probes specific for 54 genes with key relevance in ALL. Besides the diagnostic samples of 91 patients treated according to the BFM protocols, 14 matching samples drawn at the time of first or second relapse were comparatively analyzed. Clonal relationship between B-cell precursor cell populations prevailing at different time points during the disease course was also investigated by screening immunoglobulin heavy-chain gene rearrangements in matching diagnostic and relapse samples using Illumina deep-sequencing with >20,000x coverage. Results: Whole chromosome gains and losses, subchromosomal CNAs as well as alterations conferring intrachromosomal gene fusions were simultaneously identified by digitalMLPA with results available within 36 hours. Aberrations were observed in 96% of diagnostic patient samples and increased numbers of CNAs were detected in individual samples at the time of relapse as compared to diagnosis. DigitalMLPA results were successfully validated by conventional MLPA, FISH and PCR data. Comparative scrutiny of 24 matching diagnostic and relapse samples from 11 patients harboring CNAs revealed three different patterns of clonal relationships with (i) one patient displaying identical CNA profiles at diagnosis and relapse, (ii) six patients showing clonal evolution with all lesions detected at diagnosis being present at relapse and (iii) four patients displaying conserved as well as lost or gained CNAs at the time of relapse, suggestive of the presence of a common ancestral cell compartment giving rise to clinically manifest leukemia at different time points during the disease course. Time between diagnosis and first relapse of T-ALL patients displaying altered CNA profiles suggested a prolonged time requirement of clonal evolution, and of the development of manifest leukemia from an ancestral clone compared to the quick return of an identical clone at the time of relapse. Comparison of the IGH gene rearrangements identified at diagnoses and relapse revealed identical compositions of the most abundant clonotypes in all but one B-ALL patients analyzed; hence, IGH repertoire did not reveal an additional depth of clonal history in our cohort, e.g. by demonstrating the presence of an ancestral clone as the major source of clonal expansion at disease progression in a patient with altered CNA profiles suggesting direct clonal evolution between diagnosis and relapse. Copy number profiles acquired by digitalMLPA were used for determining CNA-based risk groups (Table 1) which were combined with karyotyping and molecular cytogenetic data in order to establish an extended prognostic classifier for patients with B-cell precursor ALL. This novel classifier distinguished four combined genetic risk groups showing significantly different 5-year survival rates (GR: 97%, IR: 84%, IHR: 63% and PR: 13%). Conclusions: DigitalMLPA allows for a rapid, scalable and highly optimized copy number profiling of genomic regions recurrently altered by driver aberrations in pediatric ALL. Based on the comparison of CNA profiles at diagnosis and relapse, clonal evolution and emergence of relapse from an ancestral clone are the predominant driving mechanisms of disease progression. Comprehensive copy number profiling by digitalMLPA identifies distinct prognostic groups for risk assessment in B-cell precursor ALL. Supporting grants : LP95021, K_16 #119950, NVKP_16-1-2016-0004, KH17-126718, BO/00320/18/5, FK_19 #131476, ÚNKP-19-4-SE-77 Disclosures Benard-Slagter: MRC Holland: Employment. de Groot:MRC Holland: Employment. Savola:MRC Holland: Employment.