Andreas Roller

Landscape of genetic lesions in 944 patients with myelodysplastic syndromes

High-throughput DNA sequencing significantly contributed to diagnosis and prognostication in patients with myelodysplastic syndromes (MDS). We determined the biological and prognostic significance of genetic aberrations in MDS. In total, 944 patients with various MDS subtypes were screened for known/putative mutations/deletions in 104 genes using targeted deep sequencing and array-based genomic hybridization. In total, 845/944 patients (89.5%) harbored at least one mutation (median, 3 per patient; range, 0–12). Forty-seven genes were significantly mutated with TET2, SF3B1, ASXL1, SRSF2, DNMT3A, and RUNX1 mutated in >10% of cases. Many mutations were associated with higher risk groups and/or blast elevation. Survival was investigated in 875 patients. By univariate analysis, 25/48 genes (resulting from 47 genes tested significantly plus PRPF8) affected survival (P<0.05). The status of 14 genes combined with conventional factors revealed a novel prognostic model (‘Model-1’) separating patients into four risk groups (‘low’, ‘intermediate’, ‘high’, ‘very high risk’) with 3-year survival of 95.2, 69.3, 32.8, and 5.3% (P<0.001). Subsequently, a ‘gene-only model’ (‘Model-2’) was constructed based on 14 genes also yielding four significant risk groups (P<0.001). Both models were reproducible in the validation cohort (n=175 patients; P<0.001 each). Thus, large-scale genetic and molecular profiling of multiple target genes is invaluable for subclassification and prognostication in MDS patients.

SRSF2 mutations in 275 cases with chronic myelomonocytic leukemia (CMML)

We analyzed the mutational hotspot region of SRSF2 (Pro95) in 275 cases with chronic myelomonocytic leukemia (CMML). In addition, ASXL1, CBL, EZH2, JAK2V617F, KRAS, NRAS, RUNX1, and TET2 mutations were investigated in subcohorts. Mutations in SRSF2 (SRSF2mut) were detected in 47% (129 of 275) of all cases. In detail, 120 cases had a missense mutation at Pro95, leading to a change to Pro95His, Pro95Leu, Pro95Arg, Pro95Ala, or Pro95Thr. In 9 cases, 3 new in/del mutations were observed: 7 cases with a 24-bp deletion, 1 case with a 3-bp duplication, and 1 case with a 24-bp duplication. In silico analyses predicted a damaging character for the protein structure of SRSF2 for all mutations. SRSF2mut was correlated with higher age, less pronounced anemia, and normal karyotype. SRSF2mut and EZH2mut were mutually exclusive, but SRSF2mut was associated with TET2mut. In the total cohort, no effect of SRSF2mut on survival was observed. However, in the RUNX1mut subcohort, SRSF2 Pro95His had a favorable effect on overall survival. This comprehensive mutation analysis found that 93% of all patients with CMML carried at least 1 somatic mutation in 9 recurrently mutated genes. In conclusion, these data show the importance of SRSF2mut as new diagnostic marker in CMML.

A novel hierarchical prognostic model of AML solely based on molecular mutations

The karyotype is so far the most important prognostic parameter in acute myeloid leukemia (AML). Molecular mutations have been analyzed to subdivide AML with normal karyotype into prognostic subsets. The aim of this study was to develop a prognostic model for the entire AML cohort solely based on molecular markers. One thousand patients with cytogenetic data were investigated for the following molecular alterations: PML-RARA, RUNX1-RUNX1T1, CBFB-MYH11, FLT3-ITD, and MLL-PTD, as well as mutations in NPM1, CEPBA, RUNX1, ASXL1, and TP53. Clinical data were available in 841 patients. Based on Cox regression and Kaplan-Meier analyses, 5 distinct prognostic subgroups were identified: (1) very favorable: PML-RARA rearrangement (n = 29) or CEPBA double mutations (n = 42; overall survival [OS] at 3 years: 82.9%); (2) favorable: RUNX1-RUNX1T1 (n = 35), CBFB-MYH11 (n = 31), or NPM1 mutation without FLT3-ITD (n = 186; OS at 3 years: 62.6%); (3) intermediate: none of the mutations leading to assignment into groups 1, 2, 4, or 5 (n = 235; OS at 3 years: 44.2%); (4) unfavorable: MLL-PTD and/or RUNX1 mutation and/or ASXL1 mutation (n = 203; OS at 3 years: 21.9%); and (5) very unfavorable: TP53 mutation (n = 80; OS at 3 years: 0%; P < .001). This comprehensive molecular characterization provides a more powerful model for prognostication than cytogenetics.

SF3B1 mutations correlated to cytogenetics and mutations in NOTCH1, FBXW7, MYD88, XPO1 and TP53 in 1160 untreated CLL patients.

We analyzed a large cohort of 1160 untreated CLL patients for novel genetic markers (SF3B1, NOTCH1, FBXW7, MYD88, XPO1) in the context of molecular, immunophenotypic and cytogenetic data. NOTCH1 mutations (mut) (12.3%), SF3B1mut (9.0%) and TP53mut (7.1%) were more frequent than XPO1mut (3.4%), FBXW7mut (2.5%) and MYD88mut (1.5%). SF3B1mut, NOTCH1mut, TP53mut and XPO1mut were highly correlated to unmutated, whereas MYD88mut were associated with mutated IGHV status. Associations of diverse cytogenetic aberrations and mutations emerged: (1) SF3B1mut with del(11q), (2) NOTCH1mut and FBXW7mut with trisomy 12 and nearly exclusiveness of SF3B1mut, (3) MYD88mut with del(13q) sole and low frequencies of SF3B1mut, NOTCH1mut and FBXW7mut. In patients with normal karyotype only SF3B1mut were frequent, whereas NOTCH1mut rarely occurred. An adverse prognostic impact on time to treatment (TTT) and overall survival (OS) was observed for SF3B1mut, NOTCH1mut and TP53 disruption. In multivariate analyses SF3B1mut, IGHV mutational status and del(11q) were the only independent genetic markers for TTT, whereas for OS SF3B1mut, IGHV mutational status and TP53 disruption presented with significant impact. Finally, our data suggest that analysis of gene mutations refines the risk stratification of cytogenetic prognostic subgroups and confirms data of a recently proposed model integrating molecular and cytogenetic data.

Unraveling the complexity of tyrosine kinase inhibitor-resistant populations by ultra-deep sequencing of the BCR-ABL kinase domain

In chronic myeloid leukemia and Philadelphia chromosome-positive acute lymphoblastic leukemia, tyrosine kinase inhibitor (TKI) therapy may select for drug-resistant BCR-ABL mutants. We used an ultra-deep sequencing (UDS) approach to resolve qualitatively and quantitatively the complexity of mutated populations surviving TKIs and to investigate their clonal structure and evolution over time in relation to therapeutic intervention. To this purpose, we performed a longitudinal analysis of 106 samples from 33 patients who had received sequential treatment with multiple TKIs and had experienced sequential relapses accompanied by selection of 1 or more TKI-resistant mutations. We found that conventional Sanger sequencing had misclassified or underestimated BCR-ABL mutation status in 55% of the samples, where mutations with 1% to 15% abundance were detected. A complex clonal texture was uncovered by clonal analysis of samples harboring multiple mutations and up to 13 different mutated populations were identified. The landscape of these mutated populations was found to be highly dynamic. The high degree of complexity uncovered by UDS indicates that conventional Sanger sequencing might be an inadequate tool to assess BCR-ABL kinase domain mutation status, which currently represents an important component of the therapeutic decision algorithms. Further evaluation of the clinical usefulness of UDS-based approaches is warranted.

The molecular profile of adult T-cell acute lymphoblastic leukemia: Mutations in RUNX1 and DNMT3A are associated with poor prognosis in T-ALL

T‐cell acute lymphoblastic leukemia (T‐ALL) is an aggressive and heterogeneous disease. The diagnosis is predominantly based on immunophenotyping. In addition to known cytogenetic abnormalities molecular mutations were recently identified. Here, 90 adult T‐ALL cases were investigated for mutations in NOTCH1, FBXW7, PHF6, CDKN2A, DNMT3A, FLT3, PTEN, and RUNX1 using 454 next‐generation amplicon sequencing and melting curve analyses. These data were further complemented by FISH, chromosome banding, array CGH, and CDKN2B promoter methylation analyses. NOTCH1 was the most frequently mutated gene with a 71.1% frequency followed by FBXW7 (18.9%), PHF6 (39.5%), DNMT3A (17.8%), RUNX1 (15.5%), PTEN (10.0%), CDKN2A (4.4%), FLT3‐ITD (2.2%), and FLT3‐TKD (1.1%). In total, 84/90 (93.3%) cases harbored at least one mutation. Combining these data with CDKN2A/B deletions and CDKN2B methylation status, we detected minimum one aberration in 89/90 (98.9%) patients. Survival analyses revealed the subtype as defined by the immunophenotype as the strongest independent prognostic factor. When restricting the survival analysis to the early T‐ALL subtype, a strong association of RUNX1 (P = 0.027) and DNMT3A (P = 0.005) mutations with shorter overall survival was observed. In conclusion, RUNX1 and DNMT3A are frequently mutated in T‐ALL and are associated with poor prognosis in early T‐ALL.

Monitoring of residual disease by next-generation deep-sequencing of RUNX1 mutations can identify acute myeloid leukemia patients with resistant disease.

We studied the utility and clinical relevance of RUNX1 (runt-related transcription factor 1) mutations and their application as residual disease detection markers using next-generation deep-sequencing. Mutation screening was prospectively performed in 814 acute myeloid leukemia patients. At diagnosis, 211/814 (25.9%) patients harbored mutations with a median clone size of 39% (range: 2–96%). Furthermore, in 57 patients paired samples from diagnosis and relapse were analyzed. In 47/57 (82.5%) cases the same alterations detected at diagnosis were present at relapse, whereas in 1/57 (1.8%) cases the mutation from the diagnostic sample was no longer detectable. Discrepancies were observed in 9/57 (15.8%) cases, also including the occurrence of novel RUNX1 mutations not restricted to those regions affected at diagnosis. Moreover, in 103 patients the prognostic impact of residual levels of RUNX1 mutations during complete remission was studied. Separation of patients according to median residual mutation burden into ‘good responders’ and ‘poor responders’ (median: 3.61%; range: 0.03–48.0%) resulted in significant differences of both event-free (median 21.0 vs 5.7 months, P<0.001) and overall survival (OS; median 56.9 vs 32.0 months, P=0.002). In conclusion, deep-sequencing revealed that RUNX1 mutations qualify as patient-specific markers for individualized disease monitoring. The measurement of mutation load may refine the assignment into distinct risk categories and treatment strategies.

Prognostic impact and landscape of NOTCH1 mutations in chronic lymphocytic leukemia (CLL): a study on 852 patients.

Prognostic impact and landscape of NOTCH1 mutations in chronic lymphocytic leukemia (CLL): a study on 852 patients

Robustness of Amplicon Deep Sequencing Underlines Its Utility in Clinical Applications

We investigated the robustness of amplicon deep sequencing to study its utility in routine clinical applications offering patient-specific individualized assays for molecular disease characterization and monitoring. Amplicons were designed targeting RUNX1, CEBPA, CBL, NRAS, KRAS, DNMT3A, EZH2, and TP53 using different PCR amplification strategies and Roche GS FLX Titanium and Illumina MiSeq sequencing platforms. Thirty-three patients with leukemia were selected as an exemplary cohort representing heterogeneous cancer specimens. Both standard two-primer amplification and four-primer microfluidics PCRs yielded highly linear characteristics in detecting molecular alterations in series of dilution experiments. By fitting a linear mixed-effects model to the logarithmized data, a slope β of -1.000 (95% CI, ±0.046) was obtained for two-primer assays and of -0.998 (95% CI, ±0.105) was obtained for four-primer assays, which represented a near-perfect decrease of the mutation load. Furthermore, data are presented on technical precision, limit of detection, and occurrence of small subclones in TP53- and RUNX1-mutated patients to identify clonal disease progression and residual disease. We demonstrate that, depending on the local sequence context for each amplicon, the limit of detection of the assay cannot be lower than a range of 0.25% to 3.5%. In conclusion, amplicon deep sequencing enabled the assessment of mutations in a highly robust manner and across a broad range of relative frequencies of mutations. This assay detects residual disease or identifies mutations with predictive relevance to direct treatment strategies.

Acute erythroid leukemia (AEL) can be separated into distinct prognostic subsets based on cytogenetic and molecular genetic characteristics

Acute erythroid leukemia (AEL) can be separated into distinct prognostic subsets based on cytogenetic and molecular genetic characteristics