Next-Generation Sequencing Delineates Clonal Origins and Informs Therapeutic Strategies in Acute Lymphoblastic Leukemia and Histiocytic Sarcoma

Impact of single versus multiple spliceosome mutations on myelodysplastic syndrome

Myelodysplastic syndromes (MDS) are myeloid neoplasms that are driven by genetic mutations. Generally, it is thought that a higher number of mutations is associated with worse prognosis. However, the impact of genetic mutations when they occur in the same functional class has not been well studied. Here we investigated the impact of multiple spliceosome mutations on prognosis in MDS patients, hypothesizing that multiple mutations in the same class are biologically redundant and would not affect prognosis. Departmental Next Generation Sequencing (NGS) database (>6000 cases) was queried and the data was analyzed to identify cases with spliceosome mutations (SF3B1, SRSF2, U2AF1, ZRSR2, U2AF1). Overall, 71 patients met criteria for the study. Cases with single spliceosome mutations (i.e., no other co-mutations whatsoever) were as follows: SF3B1 (38), SRSF2 (5), U2AF2 (11), and ZRSR2 (1). Cases with concurrent spliceosome mutations were as follows: SF3B1 + SRSF2 (5), SF3B1 + U2AF1 (1), SF3B1 + ZRSR2 (3), SRSF2 + U2AF1 (2), SRSF2 + ZRSR2 (1), U2AF1 + ZRSR2 (4). Four of 55 (7.3%) of patients in the single mutation group vs. 4 of 16 (25%) of patients in the concurrent mutation group progressed to acute myeloid leukemia (AML). Mean OS in the single mutation group was 103.5 months vs. 71.6 months in the multiple concurrent mutation group (χ2= 2.404; p= 0.12). Our results challenge the current dogma that increased mutation in MDS portend worse survival. We demonstrate that multiple mutations bear no impact on clinical prognosis when the additional mutations occur in same spliceosome class.

Genomic Landscape of Mixed-Phenotype Acute Leukemia

Mixed-phenotype leukemia (MPAL) is a type of acute leukemia in which the blast population shows mixed features of myeloid, T-lymphoid, and/or B-lymphoid differentiation. MPALs are rare and carry a poor prognosis, thus, often pose both a diagnostic and therapeutic challenge. Conventionally, the diagnosis of MPAL requires either a single blast population with a lineage-defining phenotypic expression of multiple lineages (myeloid, B-cell and/or T-cell) (biphenotypic) or two distinct blast populations that each independently satisfy criteria for designation as AML, B-ALL, and/or T-ALL (bilineage). Given the rarity of MPAL, minimal studies have been performed to describe the genomic landscape of these neoplasms. IRB approval was obtained. Central MCC database was searched for any patient with a diagnosis of acute undifferentiated leukemia (AUL), acute leukemia of ambiguous lineage (ALAL), and MPAL. All patient diagnoses were manually reviewed by a hematopathologist to confirm the diagnosis of MPAL. Genomic and molecular data were collated from the EMR and bioinformatically from MCC genomics repositories. Twenty-eight patients with MPAL were identified. Thirteen were female and 15 were male. Average age was 56 years old (range = 28-81). Ten cases were biclonal and 18 were biphenotypic. Diagnoses were as follows: B/myeloid (n = 18), T/myeloid (n = 9), and T/B (n = 1). Cytogenetic analysis (Karyotype +/- FISH) was available for 27 patients. The most frequent recurrent abnormalities were complex karyotype (n = 8), BCR/ABL1 translocation (n = 6), Del 5q/-5 (n = 4), Polysomy 21 (n = 4). Mutational analysis was available for 18 patients wherein mutations were detected in 45 unique genes. The most frequently mutated genes were TP53 (7), RUNX1 (6), WT1 (4), MLL2 (3), FLT3 (3), CBL (2), ASXL1 (2), TET2 (2), MAP3K6 (2), MLL (2), and MAP3K1 (2). Targetable or potentially targetable biomarkers were found in 56% of cases. Overall survival was 19.5 months (range = 0-70 m). Ten patients were treated with an allogeneic stem cell transplant and had superior outcome (p = 0.0013). In one the largest series of MPAL cases to date, we corroborate previous findings with enriched detection of RUNX1 and FLT3-ITD mutations along with discovery of unreported mutations (MAP3K) that may be amenable to therapeutic manipulation. We also report the frequent occurrence of AML with MDS-related changes (AML-MRC)-defining cytogenetic abnormalities (26%). Finally, we show that those patients that received stem cell transplant had a better overall survival. Our findings support the need to genomically profile MPAL cases to exploit opportunities for targeted therapies in this orphan disease with dismal prognosis.

Application of Next-Generation Sequencing-Based Mutational Profiling in Acute Lymphoblastic Leukemia

PURPOSE OF REVIEW

Recent efforts to characterize hematologic cancers with genetic and molecular detail have largely relied on mutational profiling via next-generation sequencing (NGS). The application of NGS-guided disease prognostication and clinical decision making requires a basic understanding of sequencing advantages, pitfalls, and areas where clinical care might be enhanced by the knowledge generated. This article identifies avenues within the landscape of adult acute lymphoblastic leukemia (ALL) where mutational data hold the opportunity to enhance understanding of disease biology and patient care.

RECENT FINDINGS

NGS-based assessment of measurable residual disease (MRD) after ALL treatment allows for a sensitive and specific molecular survey that is at least comparable, if not superior, to existing techniques. Mutational assessment by NGS has unraveled complex signaling networks that drive pathogenesis of T-cell ALL. Sequencing of patients with familial clustering of ALL has also identified novel germline mutations whose inheritance predisposes to disease development in successive generations. While NGS-based assessment of hematopoietic malignancies often provides actionable information to clinicians, patients with acute lymphoblastic leukemia are left underserved due to a lack of disease classification and prognostication schema that integrate molecular data. Ongoing research is positioned to enrich the molecular toolbox available to clinicians caring for adult ALL patients and deliver new insights to guide therapeutic selection, monitor clinical response, and detect relapse.