Phase 1b/2 study of blinatumomab in Japanese adults with relapsed/refractory acute lymphoblastic leukemia.

Adult patients with relapsed/refractory (R/R) B-precursor acute lymphoblastic leukemia (ALL) have a poor prognosis. Blinatumomab is a bispecific T-cell engager (BiTE) immuno-oncology therapy with dual specificity for CD19 and CD3 that redirects patients' CD3-positive cytotoxic T cells to lyse malignant and normal B cells. We conducted an open-label, phase 1b/2 study to determine the safety, pharmacokinetics, efficacy and recommended dose of blinatumomab in Japanese adults with R/R B-precursor ALL. Patients received 9 µg/day blinatumomab during week 1 and 28 µg/day during weeks 2-4, with a 2-week treatment-free interval (6-week cycle); patients received 28 µg/day blinatumomab in subsequent cycles. Primary endpoints were the incidence of dose-limiting toxicities (DLT) in phase 1b and complete remission (CR)/CR with partial hematologic recovery (CRh) within the first two cycles in phase 2. A total of 26 patients enrolled and 25 (96%) reported grade ≥3 adverse events (mostly cytopenias). There were no DLT. CR/CRh within two cycles was achieved by 4 of 5 patients (80%) in phase 1b and 8 of 21 patients (38%) in phase 2. Among patients with evaluable minimal residual disease, 4 (100%) in phase 1b and 3 (38%) in phase 2 had a complete MRD response. Median RFS for 8 patients who achieved CR/CRh in phase 2 was 5 (95% CI: 3.5-6.4) months; median OS was not estimable. There were no significant associations between maximum cytokine levels or percentage of specific cell types during cycle 1 and response. Consistent with global studies, blinatumomab appeared to be safe and efficacious in Japanese adults with R/R ALL.

Blinatumomab compared with standard of care for the treatment of adult patients with relapsed/refractory Philadelphia chromosome-positive B-precursor acute lymphoblastic leukemia.

BACKGROUND: A single-arm, phase 2 trial demonstrated the efficacy and safety of blinatumomab, a bispecific T-cell-engaging antibody construct, in patients with relapsed/refractory (r/r) Philadelphia chromosome-positive (Ph+) acute lymphoblastic leukemia (ALL), a rare hematologic malignancy with limited treatment options. This study compared outcomes with blinatumomab with those of a historical control treated with the standard of care (SOC). METHODS: The blinatumomab trial enrolled adult patients with Ph+ ALL who were r/r to at least 1 second-generation tyrosine kinase inhibitor (n = 45). Propensity score analysis (PSA) was used to compare outcomes with blinatumomab with those of an external cohort of similar patients receiving SOC chemotherapy (n = 55). The PSA mitigated confounding variables between studies by adjusting for imbalances in the age at diagnosis and start of treatment, sex, duration from diagnosis to most recent treatment, prior allogeneic hematopoietic stem cell transplantation, prior salvage therapy, and number of salvage therapies. Bayesian data augmentation was applied to improve power to 80% with data from a phase 3 blinatumomab study in r/r Philadelphia chromosome-negative ALL. RESULTS: In the PSA, the rate of complete remission or complete remission with partial hematologic recovery was 36% for blinatumomab and 25% for SOC, and this resulted in an odds ratio of 1.54 (95% confidence interval [CI], 0.61-3.89) or 1.70 (95% credible interval [CrI], 0.94-2.94) with Bayesian data augmentation. Overall survival favored blinatumomab over SOC, with a hazard ratio of 0.81 (95% CI, 0.57-1.14) or 0.77 (95% CrI, 0.61-0.96) with Bayesian data augmentation. CONCLUSIONS: These results further support blinatumomab as a treatment option for patients with r/r Ph+ ALL.

Blinatumomab vs historic standard-of-care treatment for minimal residual disease in adults with B-cell precursor acute lymphoblastic leukaemia.

OBJECTIVES: Survival outcomes from a single-arm phase 2 blinatumomab study in patients with minimal residual disease (MRD)-positive B-cell precursor (BCP)-acute lymphoblastic leukaemia (ALL) were compared with those receiving standard of care (SOC) in a historic data set. METHODS: The primary analysis comprised adult Philadelphia chromosome (Ph)-negative patients in first complete haematologic remission (MRD ≥ 10-3 ). Relapse-free survival (RFS) and overall survival (OS) were compared between blinatumomab- and SOC-treatment groups. Baseline differences between groups were adjusted by propensity scores. RESULTS: The primary analysis included 73 and 182 patients from the blinatumomab and historic data sets, respectively. When weighted by age to the blinatumomab-treatment group, median RFS was 7.8 months and median OS was 25.9 months in the SOC-treated group. In the blinatumomab study, median RFS was 35.2 months; median OS was not evaluable. Propensity score weighting achieved balance with seven baseline prognostic factors. With adjustment for haematopoietic stem cell transplantation (HSCT) status, a 50% reduction in risk of relapse or death was observed with blinatumomab vs SOC. Median RFS, unadjusted for HSCT status, was 35.2 months with blinatumomab and 8.3 months with SOC. CONCLUSIONS: These analyses suggest that blinatumomab improves RFS, and possibly OS, in adults with MRD-positive Ph-negative BCP-ALL vs SOC.

Repeated measures semiparametric regression using targeted maximum likelihood methodology with application to transcription factor activity discovery.

In longitudinal and repeated measures data analysis, often the goal is to determine the effect of a treatment or aspect on a particular outcome (e.g., disease progression). We consider a semiparametric repeated measures regression model, where the parametric component models effect of the variable of interest and any modification by other covariates. The expectation of this parametric component over the other covariates is a measure of variable importance. Here, we present a targeted maximum likelihood estimator of the finite dimensional regression parameter, which is easily estimated using standard software for generalized estimating equations. The targeted maximum likelihood method provides double robust and locally efficient estimates of the variable importance parameters and inference based on the influence curve. We demonstrate these properties through simulation under correct and incorrect model specification, and apply our method in practice to estimating the activity of transcription factor (TF) over cell cycle in yeast. We specifically target the importance of SWI4, SWI6, MBP1, MCM1, ACE2, FKH2, NDD1, and SWI5. The semiparametric model allows us to determine the importance of a TF at specific time points by specifying time indicators as potential effect modifiers of the TF. Our results are promising, showing significant importance trends during the expected time periods. This methodology can also be used as a variable importance analysis tool to assess the effect of a large number of variables such as gene expressions or single nucleotide polymorphisms.

Long-term follow-up of blinatumomab in patients with relapsed/refractory Philadelphia chromosome-positive B-cell precursor acute lymphoblastic leukaemia: Final analysis of ALCANTARA study.

AIM: To evaluate long-term durability of blinatumomab, a BiTE® (bispecific T-cell engager) molecule, in adults with relapsed/refractory (R/R) Philadelphia chromosome-positive (Ph+) B-cell precursor acute lymphoblastic leukaemia (ALL). METHODS: In this final analysis of an open-label, single-arm, phase 2, multicentre ALCANTARA study (NCT02000427), adults (age ≥18 years) with Ph+ ALL who had relapsed or were refractory to at least one TKI were included. The primary endpoint was the proportion of patients who achieved complete remission (CR)/CR with partial haematologic recovery (CRh) during the first two cycles of blinatumomab treatment. RESULTS: The final analysis included 45 patients who completed the study between 3rd January 2014 and 6th January 2017, of which 16 (35.6%; 95% CI, 21.9%-51.2%) achieved CR/CRh within the first two blinatumomab cycles. After a median follow-up of 16.1 months, median relapse-free survival (RFS) was 6.8 (95% CI, 4.4-not estimable [NE]) months. Median overall survival (OS) was 9.0 (95% CI, 5.7-13.5) months with a median follow-up of 25.1 months. Median OS in patients with CR (19.8 [95% CI, 12.1-NE] months) was greater than in those without CR (6.0 [95% CI, 2.9-7.1] months). Of 16 patients with CR/CRh, 14 achieved complete minimal residual disease (MRD) response; the median duration of complete MRD response was 9.7 (95% CI, 5.2-NE) months. Treatment-related adverse events were consistent with those previously reported. CONCLUSION: Long-term durability of responses to blinatumomab was demonstrated in patients with R/R Ph+ ALL.

Modified FDR controlling procedure for multi-stage analyses.

Multiple testing has become an integral component in genomic analyses involving microarray experiments where a large number of hypotheses are tested simultaneously. However, before applying more computationally intensive methods, it is often desirable to complete an initial truncation of the variable set using a simpler and faster supervised method such as univariate regression. Once such a truncation is completed, multiple testing methods applied to any subsequent analysis no longer control the appropriate Type I error rates. Here we propose a modified marginal Benjamini & Hochberg step-up FDR controlling procedure for multi-stage analyses (FDR-MSA), which correctly controls Type I error in terms of the entire variable set when only a subset of the initial set of variables is tested. The method is presented with respect to a variable importance application. As the initial subset size increases, we observe convergence to the standard Benjamini & Hochberg step-up FDR controlling multiple testing procedures. We demonstrate the power and Type I error control through simulation and application to the Golub Leukemia data from 1999.

A phase 1b study of blinatumomab in Japanese children with relapsed/refractory B-cell precursor acute lymphoblastic leukemia.

Novel therapies are needed for children with relapsed/refractory (R/R) B-cell precursor acute lymphoblastic leukemia (ALL). Blinatumomab is a bispecific T-cell engager immunotherapy that simultaneously binds to CD3-positive cytotoxic T cells and CD19-positive B cells and redirects the patient's T cells to lyse malignant and normal B cells. We conducted an open-label phase 1b study to determine the safety, pharmacokinetics, efficacy, and recommended dose of blinatumomab in Japanese children with R/R B-cell precursor ALL. Patients received induction blinatumomab for 4 weeks (5 µg/m2/day week 1; 15 µg/m2/day weeks 2-4), followed by a 2-week treatment-free interval (6-week cycle). In subsequent cycles, patients received blinatumomab 15 µg/m2/day. The primary end point was the incidence of dose-limiting toxicities. Nine patients received blinatumomab. Since no dose-limiting toxicities were reported, the maximum tolerated dose was 5 µg/m2/day for week 1, followed by 15 µg/m2/day weeks 2-4 (5-15 µg/m2/day, the global recommended dose of blinatumomab). All patients had ≥ 1 grade ≥ 3 adverse events; 89% had grade ≥ 3 treatment-related adverse events. M1 remission rate within the first two cycles of treatment was 56%; one patient had a minimal residual disease response. Consistent with global studies, blinatumomab appeared to be safe with preliminary evidence of efficacy in Japanese children with R/R B-cell precursor ALL.

DISCUSSION OF: TREELETS-AN ADAPTIVE MULTI-SCALE BASIS FOR SPARSE UNORDERED DATA.

We would like to congratulate Lee, Nadler and Wasserman on their contribution to clustering and data reduction methods for high p and low n situations. A composite of clustering and traditional principal components analysis, treelets is an innovative method for multi-resolution analysis of unordered data. It is an improvement over traditional PCA and an important contribution to clustering methodology. Their paper presents theory and supporting applications addressing the two main goals of the treelet method: (1) Uncover the underlying structure of the data and (2) Data reduction prior to statistical learning methods. We will organize our discussion into two main parts to address their methodology in terms of each of these two goals. We will present and discuss treelets in terms of a clustering algorithm and an improvement over traditional PCA. We will also discuss the applicability of treelets to more general data, in particular, the application of treelets to microarray data.