CPX-351 ((Cytarabine:Daunorubicin) Liposome Injection, (Vyxeos)) Does Not Prolong Qtcf Intervals, Requires No Dose Adjustment for Impaired Renal Function and Induces High Rates of Complete Remission in Acute Myeloid Leukemia

Abstract Introduction: CPX-351 is a liposomal formulation of cytarabine and daunorubicin encapsulated at a fixed 5:1 molar ratio. It is highly effective in patients with high-risk acute myeloid leukemia (AML). This study evaluated the impact of CPX-351 (100 units/m2) on cardiac repolarization. Methods: This open-label, Phase II, pharmacokinetic (PK) and pharmacodynamic (PD) study entered AML and acute lymphocytic leukemia (ALL) patients with good risk hepatic function (Child-Pugh scores <7), and normal cardiac function (LVEF≥50%, QTcF<470 ms). Cardiac repolarization changes were assessed using conventional ECG and Holter monitor recordings. PK was assessed during the first 21 days for total cytarabine, daunorubicin, Ara-U and daunorubicinol. The relationship between CPX-351 PK, QTcF, and renal function using the equation to calculate the estimated glomerular filtration rate (eGFR) was evaluated. Results: Twenty-six patients entered the study and 21 were evaluable for QT interval change from baseline. Evidence that CPX-351 prolongs the QTcF interval was not observed. The largest absolute and mean change from time-matched baseline was 12.56 and 8.03 ms, respectively (Day 1, hour 4). Mean QTcF change on Day 5 was unchanged from baseline. QTcF intervals >480 ms were never observed and no consistent QTcF intervals >450 ms were noted. Absolute QTcF increases between 30 and 60 ms were present in 4 of 25 patients and no changes >60 ms were observed. CPX-351 plasma concentration vs. time curves for day 1 and 5 exhibited a volume of distribution approximately equal to the plasma volume with prolonged single-exponential elimination half-lives for cytarabine and daunorubicin of ≥24 hours. The PK of CPX-351 was independent of renal function. Patients with moderately impaired (eGFR=30-59 mL/min/1.73m2) renal function exhibited similar drug exposure as those with mild and normal renal function. Table 1. Impact of renal function impairment on Day 5 CPX-351 PK parameters (mean, %CV): Analyte Renal Function Cmax (ng/mL) AUClast (ng*hr/mL) AUCinf (ng*hr/mL) T1/2 (hr) Cytarabine Normal (n=3) Mean 59333 2893146 2902641 42.5 %CV 28.7 68.8 69 34.1 Mild (n=7) Mean 58071 3599512 3606695 41.0 %CV 31.9 52.4 52.4 21.8 Moderate (n=3) Mean 57333 3149303 3156738 38.0 %CV 46.6 50.7 50.6 21.9 Daunorubicin Normal (n=3) Mean 25967 754646 870861 24.9 %CV 23.1 63 65.3 56.0 Mild (n=7) Mean 28686 865034 1021420 30.5 %CV 43.9 43.5 43.6 25.3 Moderate (n=3) Mean 21933 671542 814732 35.4 %CV 50.9 35.9 33.5 31.2 Table 2 summarizes response and transplant outcomes. One of two ALL patients achieved CR and was transplanted. Among AML patients there were 7 CR and 2 CRi of which three went on to transplant. An additional four patients became morphologically leukemia free (MLF) and were transplanted before full documentation of CR was achieved. A large majority of patients given first-line treatment with CPX-351 responded or became suitable for transplant (10/13, 77%). Table 2. 206 Study Efficacy Diagnosis n ResponseCR/CRi Transplanted in CR/CRi Induced MLF and Transplanted No Response ALL-Relapsed 2 1/0 1/0 0 1 AML-First Line de novo 8 5/0 0 1 2 AML-First Line sAML 5 1/2 1/1 1 1 AML-Salvage 11 1/0 1/0 2 8 Conclusions: Clinically relevant prolongation of QTcF is not a feature of CPX-351 treatment. CPX-351 exposure was independent of renal function, indicating no need for dose adjustment when renal function is impaired. The high rate of complete remission and referral for transplant corroborate the high level of efficacy observed in earlier studies with CPX-351. Disclosures Stuart: Sunesis: Honoraria, Other: Advisory Board, Research Funding; Astellas Pharma, Inc: Research Funding. Michaelis:Incyte: Membership on an entity's Board of Directors or advisory committees; CTI Biopharma: Membership on an entity's Board of Directors or advisory committees; Wyeth: Membership on an entity's Board of Directors or advisory committees; Pfizer: Equity Ownership. Pentikis:Celator Pharmaceuticals: Consultancy. Alvarez:Celator Pharmaceuticals, Inc.: Employment, Equity Ownership. Mayer:Celator Pharmaceuticals, Inc.: Employment, Equity Ownership. Louie:Celator Pharmaceuticals, Inc.: Employment, Equity Ownership.

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EZH2 Mutations and Impact on Clinical Outcome Analyzed in 1604 Patients with Acute Myeloid Leukemia

Blood ◽

10.1182/blood-2018-99-114421 ◽

2018 ◽

Vol 132 (Supplement 1) ◽

pp. 1528-1528

Author(s):

Sebastian Stasik ◽

Jan Moritz Middeke ◽

Michael Kramer ◽

Christoph Rollig ◽

Alwin Krämer ◽

...

Keyword(s):

Bone Marrow ◽

Acute Myeloid Leukemia ◽

Board Of Directors ◽

Myeloid Leukemia ◽

Research Funding ◽

Employment Equity ◽

Advisory Committees ◽

Mutational Status ◽

Equity Ownership ◽

Acute Myeloid

Abstract Purpose: The enhancer of zeste homolog 2 (EZH2) is a histone methyltransferase and key epigenetic regulator involved in transcriptional repression and embryonic development. Loss of EZH2 activity by inactivating mutations is associated with poor prognosis in myeloid malignancies such as MDS. More recently, EZH2 inactivation was shown to induce chemoresistance in acute myeloid leukemia (AML) (Göllner et al., 2017). Data on the frequency and prognostic role of EZH2-mutations in AML are rare and mostly confined to smaller cohorts. To investigate the prevalence and prognostic impact of this alteration in more detail, we analyzed a large cohort of AML patients (n = 1604) for EZH2 mutations. Patients and Methods: All patients analyzed had newly diagnosed AML, were registered in clinical protocols of the Study Alliance Leukemia (SAL) (AML96, AML2003 or AML60+, SORAML) and had available material at diagnosis. Screening for EZH2 mutations and associated alterations was done using Next-Generation Sequencing (NGS) (TruSight Myeloid Sequencing Panel, Illumina) on an Illumina MiSeq-system using bone marrow or peripheral blood. Detection was conducted with a defined cut-off of 5% variant allele frequency (VAF). All samples below the predefined threshold were classified as EZH2 wild type (wt). Patient clinical characteristics and co-mutations were analyzed according to the mutational status. Furthermore, multivariate analysis was used to identify the impact of EZH2 mutations on outcome. Results: EZH2-mutations were found in 63 of 1604 (4%) patients, with a median VAF of 44% (range 6-97%; median coverage 3077x). Mutations were detected within several exons (2-6; 8-12; 14-20) with highest frequencies in exons 17 and 18 (29%). The majority of detected mutations (71% missense and 29% nonsense/frameshift) were single nucleotide variants (SNVs) (87%), followed by small indel mutations. Descriptive statistics of clinical parameters and associated co-mutations revealed significant differences between EZH2-mut and -wt patients. At diagnosis, patients with EZH2 mutations were significantly older (median age 59 yrs) than EZH2-wt patients (median 56 yrs; p=0.044). In addition, significantly fewer EZH2-mut patients (71%) were diagnosed with de novo AML compared to EZH2-wt patients (84%; p=0.036). Accordingly, EZH2-mut patients had a higher rate of secondary acute myeloid leukemia (sAML) (21%), evolving from prior MDS or after prior chemotherapy (tAML) (8%; p=0.036). Also, bone marrow (and blood) blast counts differed between the two groups (EZH2-mut patients had significantly lower BM and PB blast counts; p=0.013). In contrast, no differences were observed for WBC counts, karyotype, ECOG performance status and ELN-2017 risk category compared to EZH2-wt patients. Based on cytogenetics according to the 2017 ELN criteria, 35% of EZH2-mut patients were categorized with favorable risk, 28% had intermediate and 37% adverse risk. No association was seen with -7/7q-. In the group of EZH2-mut AML patients, significantly higher rates of co-mutations were detected in RUNX1 (25%), ASXL1 (22%) and NRAS (25%) compared to EZH2-wt patients (with 10%; 8% and 15%, respectively). Vice versa, concomitant mutations in NPM1 were (non-significantly) more common in EZH2-wt patients (33%) vs EZH2-mut patients (21%). For other frequently mutated genes in AML there was no major difference between EZH2-mut and -wt patients, e.g. FLT3ITD (13%), FLT3TKD (10%) and CEBPA (24%), as well as genes encoding epigenetic modifiers, namely, DNMT3A (21%), IDH1/2 (11/14%), and TET2 (21%). The correlation of EZH2 mutational status with clinical outcomes showed no effect of EZH2 mutations on the rate of complete remission (CR), relapse free survival (RFS) and overall survival (OS) (with a median OS of 18.4 and 17.1 months for EZH2-mut and -wt patients, respectively) in the univariate analyses. Likewise, the multivariate analysis with clinical variable such as age, cytogenetics and WBC using Cox proportional hazard regression, revealed that EZH2 mutations were not an independent risk factor for OS or RFS. Conclusion EZH mutations are recurrent alterations in patients with AML. The association with certain clinical factors and typical mutations such as RUNX1 and ASXL1 points to the fact that these mutations are associated with secondary AML. Our data do not indicate that EZH2 mutations represent an independent prognostic factor. Disclosures Middeke: Janssen: Membership on an entity's Board of Directors or advisory committees, Research Funding; Abbvie: Membership on an entity's Board of Directors or advisory committees; Roche: Membership on an entity's Board of Directors or advisory committees. Rollig:Bayer: Research Funding; Janssen: Research Funding. Scholl:Jazz Pharma: Membership on an entity's Board of Directors or advisory committees; Abbivie: Other: Travel support; Alexion: Other: Travel support; MDS: Other: Travel support; Novartis: Other: Travel support; Deutsche Krebshilfe: Research Funding; Carreras Foundation: Research Funding; Pfizer: Membership on an entity's Board of Directors or advisory committees. Hochhaus:Pfizer: Research Funding; Incyte: Research Funding; Novartis: Research Funding; Bristol-Myers Squibb: Research Funding; Takeda: Research Funding. Brümmendorf:Janssen: Consultancy; Takeda: Consultancy; Novartis: Consultancy, Research Funding; Merck: Consultancy; Pfizer: Consultancy, Research Funding. Burchert:AOP Orphan: Honoraria, Research Funding; Bayer: Research Funding; Pfizer: Honoraria; Bristol Myers Squibb: Honoraria, Research Funding; Novartis: Research Funding. Krause:Novartis: Research Funding. Hänel:Amgen: Honoraria; Roche: Honoraria; Takeda: Honoraria; Novartis: Honoraria. Platzbecker:Celgene: Research Funding. Mayer:Eisai: Research Funding; Novartis: Research Funding; Roche: Research Funding; Johnson & Johnson: Research Funding; Affimed: Research Funding. Serve:Bayer: Research Funding. Ehninger:Cellex Gesellschaft fuer Zellgewinnung mbH: Employment, Equity Ownership; Bayer: Research Funding; GEMoaB Monoclonals GmbH: Employment, Equity Ownership. Thiede:AgenDix: Other: Ownership; Novartis: Honoraria, Research Funding.

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First-Line Treatment and Management of Chronic Myeloid Leukemia (CML) in Clinical Practice: Update of > 1800 Patients (Pts) in the WORLD CML Registry

Blood ◽

10.1182/blood.v120.21.3750.3750 ◽

2012 ◽

Vol 120 (21) ◽

pp. 3750-3750

Author(s):

Jorge E. Cortes ◽

Ricardo Pasquini ◽

Hagop M. Kantarjian ◽

David Joske ◽

Luis A Meillon ◽

...

Keyword(s):

Clinical Practice ◽

Board Of Directors ◽

Research Funding ◽

Disease Status ◽

First Line ◽

Employment Equity ◽

Advisory Committees ◽

Time Points ◽

The World ◽

Equity Ownership

Abstract Abstract 3750 Background: The WORLD CML Registry is a multinational, prospective registry established to longitudinally assess global patterns of current and evolving methods for diagnosis, treatment, and clinical outcome measures in pts with CML and to compare clinical practice patterns to management recommendations provided by the European LeukemiaNet (ELN; Baccarani M, et al. J Clin Oncol. 2009;27:6041–6051). Here, we report overall efficacy and safety data from this registry, as well as clinical monitoring practices and outcomes in the subgroup of pts with CML in chronic phase (CP) treated with first-line imatinib. Methods: Pts (≥ 16 y of age) with CML in CP, accelerated phase (AP), or blast crisis (BC) within 6 mo + 2 weeks of confirmed CML diagnosis were enrolled at sites in Latin America, Asia-Pacific, the United States, Russia, Turkey, the Middle East, and Africa. Baseline demographics and medical history were collected at enrollment; disease status and management information were collected at approximate 6-mo intervals or when there was a change in disease status/management. Adverse events (AEs) were collected only if they resulted in a dose/regimen change, nonadherence to treatment, or death. Results: A total of 1837 of the 1889 pts enrolled between February 2008 and December 31, 2010, were evaluable (ie, had confirmed informed consent forms and no protocol deviations) and are the basis for this analysis. Median age was 47 y (range, 16–92 y), and 58% of pts were male. CML diagnosis was established using hematologic (91% of pts), bone marrow (82%), cytogenetic (83%), and molecular (polymerase chain reaction [PCR]; 53%) assessments. Nearly all pts (94%) were initially diagnosed in CP (Table). As of the data cutoff (December 31, 2010), median overall survival (OS) and median event-free survival (EFS) in all pts were not reached. Estimated OS and EFS rates at 3 y were 90.4% and 74.8%, respectively. AEs reported in ≥ 1% of pts were thrombocytopenia (3%) and neutropenia (2%). In the CML-CP subgroup, imatinib (Glivec®/Gleevec®) was administered as first-line therapy (in clinical practice or in a clinical trial) to 63% of pts (n = 1083). Disease burden in CML-CP pts on imatinib over time was most commonly assessed via blood counts (Table). Cytogenetic and molecular assessments were used in a minority of CML-CP pts at most time points. Only 50% of pts had a disease assessment at 3 mo (hematologic, 49%; cytogenetic, 10%; molecular, 15%). Of the pts on first-line imatinib outside of a clinical trial setting (n = 1024), 95 (9%) had their dose increased, 77 (8%) had their dose decreased, and 82 (8%) were switched to nilotinib or dasatinib. In all CML-CP pts treated with first-line imatinib, estimated OS and EFS rates at 3 y were 92.1% and 76.6%, respectively (Table). Estimated OS and EFS rates at 3 y were higher in pts who had higher imatinib exposure (treatment received ≥ 85% of total days) vs pts who received imatinib treatment on < 85% of days. Conclusions: The majority of CML-CP pts treated with first-line imatinib did not have cytogenetic or molecular assessments in accordance with current ELN recommendations, particularly at early time points. Additionally, pts who had higher drug exposure to imatinib had higher estimated OS and EFS rates at 3 y than those who did not. Disclosures: Cortes: Novartis: Consultancy, Research Funding; BMS: Consultancy, Research Funding; Pfizer: Consultancy, Research Funding; Ariad: Consultancy, Research Funding. Kantarjian:Novartis Pharmaceuticals Corp: Consultancy, Research Funding; BMS: Research Funding; Pfizer: Research Funding. Piccolo:Novartis Pharma AG: Employment. Zernovak:Novartis Pharmaceuticals Corp: Employment, Equity Ownership. Sivarathinasami:Novartis Healthcare Pvt. Ltd,: Employment. Eng:Novartis Pharmaceuticals Corp: Employment, Equity Ownership. Kim:Novartis: Consultancy, Research Funding, Speakers Bureau; BMS: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Pfizer: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; ARIAD: Research Funding; II-Yang: Consultancy, Honoraria, Research Funding. Hughes:Novartis Pharmaceuticals Corp: Consultancy, Honoraria, Research Funding; Bristol Myers Squibb: Consultancy, Honoraria, Research Funding; Ariad: Consultancy; CSL: Research Funding.

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Nascent Transcript and Single Cell Rnaseq Analysis Defines the Mechanism of Action of the LSD1 Inhibitor INCB059872 in Myeloid Leukemia

Blood ◽

10.1182/blood-2019-130458 ◽

2019 ◽

Vol 134 (Supplement_1) ◽

pp. 2509-2509

Author(s):

Gretchen Johnston ◽

Haley E. Ramsey ◽

Kristy Stengel ◽

Shilpa Sampathi ◽

Pankaj Acharya ◽

...

Keyword(s):

Bone Marrow ◽

Drug Treatment ◽

Board Of Directors ◽

Myeloid Leukemia ◽

Research Funding ◽

Myeloid Differentiation ◽

Employment Equity ◽

Advisory Committees ◽

Equity Ownership ◽

Upregulated Genes

Drugs targeting chromatin-modifying enzymes have entered clinical trials for myeloid malignancies, including INCB059872, a selective irreversible inhibitor of Lysine-Specific Demethylase 1 (LSD1). LSD1 is a component of the CoREST complex, in which it associates with histone deacetylases 1 and 2, the transcriptional co-repressor, mSin3A or mSin3B, and the REST corepressor (RCOR1), so a role in gene expression was expected. While initial studies of LSD1 inhibitors have suggested these compounds may be used to induce differentiation of acute myeloid leukemia, the mechanisms underlying this effect and dose-limiting toxicities are not well understood. Here, we have used precision nuclear run-on sequencing (PROseq) and single-cell RNA-sequencing (scRNAseq) to show that INCB059872 de-represses GFI1/GFI1B-regulated genes to promote a myeloid differentiation gene signature in AML cells while stalling maturation of megakaryocyte progenitor cells. Within 3 days of treatment with INCB059872, the majority of THP-1, which contain an the MLL-translocation, undergo myeloid differentiation. RNAseq analysis indicated that 24h drug treatment upregulated genes involved in hematopoietic cell lineage, which is consistent with the differentiation. In addition, PROseq was used to measure the effects of INCB059872 on nascent transcription at genes and enhancers, as this is one of the best methods to define enhancer activity. In THP-1 cells after 24h treatment, there were 203 genes with at least a 1.5-fold increase in transcription, while there are nearly 1300 enhancers meeting this threshold. Upregulated genes include those associated with myeloid cell differentiation, such as CSF1R and CD86. Given that LSD1 catalyzes the removal of mono- and di-methyl marks from histone H3, we expected that INCB059872 would cause a buildup of histone methylation. Surprisingly, ChIPseq for H3K4me2 and H3K4me1 showed only subtle changes in these marks after 48h drug treatment in THP-1. Only a handful of LSD1i-induced enhancers overlapped with detectable changes in H3K4 methylation. However, our PROseq data is consistent with the increases in H3K27 acetylation seen with OG86 (a compound that disrupts the LSD1:GFI1 interaction) at GFI1 binding sites (PMID: 29590629). Indeed, motif analysis of INCB059872-upregulated enhancers identified the GFI1 recognition sequence as the most highly enriched. Moreover, siRNA inhibition of key components of LSD1-containing chromatin remodeling complexes pinpointed the CoREST complex as mediating the THP-1 myeloid differentiation effects of INCB059872. To investigate on-target thrombocytopenia seen with LSD1 inhibitors in preclinical studies, we analyzed the bone marrow of wild-type mice treated daily with INCB059872 for 0, 4, or 6 days before harvesting and sorting lin-bone marrow cells for scRNA-seq. Notably, one of the most highly upregulated genes in treated cells was Gfi1b. Unsupervised clustering identified 22 clusters, corresponding to unique subpopulations (Fig. 1A). While the distribution of cells into different progenitor populations was mostly unaffected by drug treatment, these data revealed a striking increase in the proportion of cells from treated mice assigned to a megakaryocyte stem/progenitor cluster. Cells within this expanded cluster expressed stem cell markers such as MYCN and PBX1, but also expressed VWF (Fig. 1B). Thus, LSD1 inhibition caused accumulation of megakaryopoiesis-biased stem cells that failed to mature into efficient platelet producers. Finally, we used scRNAseq to analyze bone marrow from an AML patient who responded to treatment with INCB059872 plus azacytidine (AZA). A pre-treatment bone marrow sample was divided into separate cultures to study the effects of INCB059872, AZA, or the combination. Remarkably, unsupervised clustering of patient cells assigned the majority of INCB059872 and combination-treated cells to clusters that were not found in control- or AZA-treated samples. Cells exposed to INCB059872 had upregulated GFI1 and GFI1B, as well as differentiation-related genes that were also observed in AML cell lines. Overall, these data indicate that INCB059872 affects gene expression with kinetics consistent with a loss of CoREST activity to stimulate differentiation of AML blasts, but the inactivation of GFI1/GFI1B impairs megakaryocyte maturation likely explaining thrombocytopenia seen in preclinical models. Disclosures Stubbs: Incyte Corporation: Employment, Equity Ownership. Burn:Incyte: Employment, Equity Ownership. Hiebert:Incyte Corporation: Research Funding. Savona:Karyopharm Therapeutics: Consultancy, Equity Ownership, Membership on an entity's Board of Directors or advisory committees; Incyte Corporation: Membership on an entity's Board of Directors or advisory committees, Research Funding; Celgene Corporation: Membership on an entity's Board of Directors or advisory committees; Selvita: Membership on an entity's Board of Directors or advisory committees; Takeda: Membership on an entity's Board of Directors or advisory committees, Research Funding; Sunesis: Research Funding; TG Therapeutics: Membership on an entity's Board of Directors or advisory committees, Research Funding; Boehringer Ingelheim: Patents & Royalties; AbbVie: Membership on an entity's Board of Directors or advisory committees.

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Comparative Efficacy Among 3rd Line Post-Imatinib Chronic Phase-Chronic Myeloid Leukemia (CP-CML) Patients after Failure of Dasatinib or Nilotinib Tyrosine Kinase Inhibitors

Blood ◽

10.1182/blood.v124.21.4551.4551 ◽

2014 ◽

Vol 124 (21) ◽

pp. 4551-4551 ◽

Cited By ~ 2

Author(s):

Jeffrey H. Lipton ◽

Dhvani Shah ◽

Vanita Tongbram ◽

Manpreet K Sidhu ◽

Hui Huang ◽

...

Keyword(s):

Chronic Myeloid Leukemia ◽

Board Of Directors ◽

Myeloid Leukemia ◽

Research Funding ◽

Kinase Inhibitors ◽

Cytogenetic Response ◽

Comparative Efficacy ◽

Employment Equity ◽

Advisory Committees ◽

Equity Ownership

Abstract INTRODUCTION Patients with chronic myeloid leukemia (CP-CML) failing 1st line imatinib are most commonly treated with the second-generation (2G) tyrosine kinase inhibitors (TKIs) dasatinib and nilotinib. However, for patients who experience resistance or intolerance (R/I) to 2G-TKIs in 2nd line, there currently is no consensus on the optimal therapy sequence for 3rd line treatment. The comparative efficacy of using ponatinib in the 3rd line after 2G TKI failure was examined in a previous study (Lipton et al., ASH 2013). This study assesses the comparative efficacy of ponatinib versus sequential treatment of alternate 2G TKIs in 3rdline setting in two separate patient populations, post-imatinib and dasatinib patients and post-imatinib and nilotinib patients. METHODS A systematic review was conducted in MEDLINE, EMBASE and the Cochrane Libraries (2002-2014), as well as 3 conferences (ASH (2008-2014), ASCO (2008-2014), and EHA (2008-2013)). Studies evaluating any TKI were included if they enrolled 10 or more post-imatinib adult patients with CP-CML who were also R/I to dasatinib or nilotinib. All study designs were considered and no restriction was applied with respect to therapy dose, due to incomplete reporting of doses in the available studies. Analyses was run on two groups of patients, those failing imatinib and dasatinib (Group Ima/Das) and those failing imatinib and nilotinib (Group Ima/Nil). Bayesian methods were used to synthesize major cytogenetic response (MCyR) and complete cytogenetic response (CCyR) from individual studies and estimate the overall response probability with 95% credible interval (CrI) for each treatment. Bayesian analysis also was used to estimate the likelihood that each treatment offers the highest probability of CCyR/MCyR based on available evidence. RESULTS Six studies evaluating bosutinib, nilotinib and ponatinib for Group Ima/Das (n= 419) and five studies evaluating bosutinib, dasatinib and ponatinib for Group Ima/Nil (n=83) were included in the analysis. All studies reported CCyR in both groups. Five studies evaluating bosutinib, nilotinib and ponatinib reported MCyR in Group Ima/Das and three studies evaluating bosutinib and ponatinib reported MCyR in Group Ima/Nil. Synthesized treatment-specific probabilities and 95% CrI for CCyR are presented in Figure 1. Synthesized treatment-specific probabilities of CCyR for Group Ima/Das were 27% for nilotinib, 20% for bosutinib and 54% (95% CrI 43%% to 66%) for ponatinib. Treatment-specific probabilities of MCyR for Group Ima/Das were 41% for nilotinib, 28% for bosutinib and 66% (95% CrI 55%% to 77%) for ponatinib. The probability of ponatinib providing superior response to all other included treatments for group Ima/Das was estimated to be >99% for both CCyR and MCyR. Synthesized treatment-specific probabilities of CCyR for Group Ima/Nil were 25% for dasatinib, 26% for bosutinib and 67% (95% CrI 51%% to 81%) for ponatinib. Treatment-specific probabilities of MCyR for Group Ima/Nil were 33% for bosutinib and 75% (95% CrI 60%% to 87%) for ponatinib. The probability of ponatinib providing superior response to all other included treatments for group Ima/Nil was estimated to be >99% for both CCyR and MCyR. CONCLUSIONS The post imatinib and dasatinib group included more studies with larger sample sizes compared with the post imatinib and nilotinib group. Overall, response rates appear higher for TKIs in the post imatinib and nilotinib group compared with the post imatinib and dasatinib group. For both groups, patients on ponatinib had higher CCyR and MCyR rates compared with the sequential 2G TKIs included in this analysis. Based on available data, ponatinib appears to provide a higher probability of treatment response for patients failing imatinib and dasatinib/ nilotinib compared with sequential 2G TKI therapy commonly used in this indication. Figure 1 Figure 1. Disclosures Lipton: Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Bristol Myers: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Ariad: Equity Ownership, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Pfizer: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau. Shah:Ariad Pharmaceuticals: Research Funding. Tongbram:Ariad Pharmaceuticals: Research Funding. Sidhu:Ariad Pharmaceuticals Inc.: Research Funding. Huang:ARIAD Pharmaceuticals, Inc.: Employment, Equity Ownership. McGarry:ARIAD Pharmaceutical, Inc.: Employment, Equity Ownership. Lustgarten:ARIAD Pharmaceuticals Inc: Employment, Equity Ownership. Hawkins:Ariad Pharmaceuticals Inc.: Research Funding.

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Patterns of Care of Aged Chronic Lymphocytic Leukemia Patients in the United States: Systematic Analysis of 457 Patients in the Connect CLL Registry

Blood ◽

10.1182/blood.v124.21.4672.4672 ◽

2014 ◽

Vol 124 (21) ◽

pp. 4672-4672

Author(s):

Chadi Nabhan ◽

Natalie Galanina ◽

Neil E. Kay ◽

Anthony R. Mato ◽

David L. Grinblatt ◽

...

Keyword(s):

Board Of Directors ◽

Research Funding ◽

The United States ◽

Initial Therapy ◽

Patterns Of Care ◽

First Line ◽

Employment Equity ◽

Advisory Committees ◽

Equity Ownership ◽

Baseline Characteristics

Abstract Introduction: The median age at diagnosis for CLL pts in the US is 72 years. As clinical trials in CLL have largely enrolled younger pt populations, data on disease and pts' characteristics, patterns of care, prognosis, and molecular features in aged CLL pts are limited. With this in mind, we conducted a prospective study to update critical demographic data and patterns of care for aged CLL pt. Patients and Methods: Connect®-CLL is a US-based prospective, longitudinal, multi-center, observational registry that is aimed at understanding patterns of CLL management without a study-specific intervention. We enrolled pts treated at an academic (n=155) or community (n=1340) setting between 2010 and 2014. Eligible pts were adults with a clinical diagnosis of CLL who required therapy 2 or less months after enrollment. Data on demographics, baseline characteristics, and treatment selection are presented here using descriptive statistics. Continuous variables are reported using appropriate measures of dispersion and central tendency (means, medians, ranges and standard deviations) while categorical variables are summarized as number and percentage of the analysis population. Results: Of 1495 enrolled pts, 457 (30.5%) were ≥75 years (57.3% males, 94.2% white). Rai stage III/IV was noted in 33% and B symptoms (predominantly fatigue (58.4%)) were observed in 68.1%. These and other clinical baseline characteristics appeared similar to pts younger than 75 years except that older pts had more prior malignancies (33.5% vs. 19.8%) and co-morbidities (69.3% vs. 53.6%). Cardiac, neurologic, and renal disorders were the most common morbidities in pts ≥75 years (11.5%, 8.8%, and 4.6% respectively). Imaging studies were performed in 157 (60.2%) older pts and in 416 (65.7%) pts less than 75 years prior to initial therapy. Percentage of pts with bulky nodes (> 5 cm) by imaging was similar in the two groups, 19.3% overall. Prognostic biomarker data were available on 247 pts (178 (72%) <75 years; 69 (28%) ≥75 years). While a higher proportion of older pts had CD38+ CLL (55.1% vs. 40.5%, P=0.038), the proportions of patients with ZAP-70+ CLL were similar between the two groups. In total, 137 (9%) older and 378 (25%) younger pts had 17p and 11q analysis by FISH at enrollment prior to first-line therapy. Of these, 27.0% of pts ≥75 years and 20.6% of pts <75 years had a deletion of either 17p or 11q (P=0.125). Out of all pts enrolled in the registry, 894 (60%) received first-line treatment (261 (29%) pts ≥75 years and 633 (71%) <75 years) as their indication for study entry. Amongst these treated pts, interim analysis shows (data cutoff date: 25 June 2014) progressive marrow failure was more commonly used as the indication for therapy in older pts compared to younger pts (52.1% vs. 38.5%; P<0.001), while splenomegaly was a more common cause for therapy in younger pts (16% vs. 9%; P<0.01). Rai stage III/IV at time of first therapy was 46% and 49% for younger and older pts, respectively. Progressive lymphocytosis was used as the indication for therapy in one third of pts regardless of age. Seventy-four percent of older CLL pts received first-line therapies containing rituximab (R) vs. 85% in pts <75 years (P<0.0001). R-bendamustine was the most common first-line regimen for CLL pts ≥75 (23.4%) while FCR was more commonly given to pts <75 years (32.5%). R-monotherapy was used in 18.8% of older pts versus 9.5% in pts <75 years (P<0.0001). Of note, approximately 25% of CLL pts ≥75 years did not receive R-based regimens for initial therapy. Conclusions: Connect®-CLL is the largest prospective, multicenter CLL registry in the United States. CLL Pts ≥75 years more frequently overexpress CD38 and may more commonly demonstrate high risk cytogenetics by FISH, although the difference did not reach statistical significance. Pts ≥75 years also more commonly had co-morbid diseases, and surprisingly 25% did not receive first-line R-based therapy. CLL pts are rarely included in front-line clinical trials (<3%). Given that novel therapies are increasingly available for CLL patients a continued analysis is warranted to determine their use in elderly vs younger patients as well. A longer follow up is needed to evaluate the impact of these findings on outcomes. Disclosures Nabhan: Celgene: Honoraria, Research Funding. Off Label Use: Lenalidomide in CLL. Kay:Celgene: Research Funding. Mato:Genentech, Celgene, Millenium: Speakers Bureau. Grinblatt:Celgene: Honoraria, Speakers Bureau. Kipps:Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding. Lamanna:Celgene: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding. Weiss:Celgene: Consultancy. Flinn:Celgene: Research Funding. Swern:Celgene: Employment, Equity Ownership. Street:Celgene: Employment, Equity Ownership. Kristen:Celgene: Employment, Equity Ownership. Flowers:Celgene, Prescription Solutions, Seattle Genetics, Millennium (unpaid), Genentech (unpaid) : Consultancy; Gilead, Spectrum, Millennium, Janssen: Research Funding.

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Baseline PET-Derived Metabolic Tumor Volume Metrics Did Not Predict Outcomes in Follicular Lymphoma Patients Treated with First-Line Immunochemotherapy and Antibody Maintenance in the Phase III GALLIUM Study

Blood ◽

10.1182/blood-2018-99-117235 ◽

2018 ◽

Vol 132 (Supplement 1) ◽

pp. 2882-2882 ◽

Cited By ~ 3

Author(s):

Sally F Barrington ◽

Judith Trotman ◽

Deniz Sahin ◽

David Belada ◽

Andrew Davies ◽

...

Keyword(s):

Board Of Directors ◽

Research Funding ◽

Standardized Uptake Value ◽

Metabolic Tumor Volume ◽

Tumor Burden ◽

Phase Iii ◽

First Line ◽

Employment Equity ◽

Advisory Committees ◽

Equity Ownership

Abstract Introduction: Evidence suggests that baseline 18fluorodeoxyglucose (FDG) positron emission tomography (PET)/computed tomography-derived parameters, such as metabolic tumor volume (MTV) and maximum standardized uptake value (SUVmax), may predict progression-free survival (PFS) in patients (pts) with follicular lymphoma (FL) treated with first-line R-CHOP immunochemotherapy. However, data from pts routinely treated with bendamustine or antibody maintenance are lacking, and several methods have been used to evaluate PET metrics for tumor burden in pts with lymphoma. This prospective exploratory analysis assessed the prognostic value of baseline MTV, total glycolytic activity (TLG), and SUVmax for PFS and overall survival (OS) in pts with FL treated with first-line obinutuzumab (GA101; G) or rituximab (R) plus chemotherapy (chemo) in the Phase III GALLIUM study (NCT01332968; Marcus et al. N Engl J Med 2017), using two published methods for measuring tumor burden. Methods: Pts ≥18 years with previously untreated FL (grade 1-3a) and advanced disease (Stage III/IV or Stage II with tumor diameter ≥7cm) requiring treatment were randomized 1:1 to receive 6-8 cycles of G (1000mg intravenous [IV] on days [D] 1, 8, and 15 of cycle [C] 1 and D1, C2-6 or 8) or R (375mg/m2 IV on D1) plus standard chemo (CHOP, bendamustine, or CVP). Responding pts received the same antibody as maintenance every 2 months for up to 2 years. After an early protocol amendment, PET imaging at baseline and end of induction (EOI) was mandatory in the first 170 pts and optional thereafter. Independent reviewers segmented FDG-avid tumors applying thresholds of I) standardized uptake value (SUV)max ≥2.5, and II) SUVmax ≥41% of lesional maximum SUV and a minimum volume of 1mL, using MIM software. Results were analyzed for the PET intent-to-treat population. MTV, TLG, and SUVmax were split into quartiles: Q1, <25%; Q2, 25-49%; Q3, 50-74%; and Q4, 75-100%, based on their distribution in the available population. Investigator-assessed PFS and OS were estimated using Kaplan-Meier methods (data cut-off, February 12, 2018). Hazard ratios refer to stratified log-rank tests comparing Q2, Q3, and Q4 with Q1, adjusted for the randomization stratification factors FLIPI score and chemo regimen. Multivariable Cox analyses were also undertaken to investigate whether baseline MTV quartiles and other covariates were prognostic for PFS. Statistical significance at 0.05 was determined using the Wald test. Results: Of 1202 enrolled FL pts, 609 had a baseline PET scan and 521 had baseline PET scans available for all quantitative assessments by central review; 303 pts (58%) received bendamustine, 179 (34%) CHOP, and 39 (8%) CVP. After a median follow-up of 57 months, none of the 3 baseline PET parameters (MTV or TLG measured by either method or SUVmax) significantly predicted PFS (Table). Multivariable analysis, which included baseline pt and disease characteristics, confirmed that MTV did not predict PFS. Consistent with the primary analysis, receipt of G-chemo was an independent predictor of improved PFS. Conclusions: Contrary to previous reports, these prospective data from the Phase III GALLIUM study show that baseline quantitative PET metrics do not predict PFS or OS in FL pts receiving first-line immunochemotherapy (of whom the majority received bendamustine) followed by antibody maintenance treatment, irrespective of the measurement method applied. Conversely, a previously reported analysis from GALLIUM suggests that PET-complete metabolic response at EOI assessed using Lugano 2014 criteria is a strong predictor of long-term outcome in these pts. Table. Table. Disclosures Barrington: EPSRC: Research Funding; Department of Health (England): Research Funding; F.Hoffmann-La Roche: Membership on an entity's Board of Directors or advisory committees; National Institute of Health Research: Research Funding; MRC: Research Funding; CRUK: Research Funding. Trotman:Janssen: Other: Unremunerated member of Ad Board, Research Funding; Celgene: Other: Unremunerated member of Ad Board, Research Funding; PCYC: Research Funding; Takeda: Other: Unremunerated member of Ad Board; F. Hoffman-La Roche: Other: Travel to meeting, Unremunerated member of Ad Board, Research Funding; Beigene: Research Funding. Sahin:Roche: Employment, Equity Ownership. Belada:Janssen-Cilag: Consultancy, Research Funding; Gilead Sciences: Consultancy, Research Funding; Seattle Genetics: Consultancy, Research Funding; Celgene: Research Funding; Roche: Consultancy, Research Funding; Takeda: Consultancy, Research Funding. Davies:Janssen: Consultancy, Honoraria; GSK: Research Funding; Karyopharma: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Takeda: Consultancy, Membership on an entity's Board of Directors or advisory committees; ADC Therapeutics: Research Funding; Acerta Pharma: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; F. Hoffman-La Roche: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Kite: Consultancy; Celgene: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Gilead: Honoraria, Research Funding; Pfizer: Research Funding. MacEwan:Consultant Radiologist/ Nuc Med Physician: Consultancy. Owen:Pharmacyclics: Research Funding; F. Hoffmann-La Roche Ltd: Honoraria, Research Funding; Celgene: Research Funding; AstraZeneca: Honoraria, Research Funding; Merck: Honoraria; Janssen: Honoraria, Research Funding; Teva: Honoraria; AbbVie: Research Funding. Ptáčník:F. Hoffman-La Roche: Honoraria. Hiddemann:F. Hoffman-La Roche: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Celgene: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Janssen: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Bayer: Consultancy, Research Funding. Marcus:Roche: Consultancy, Other: Travel support and lecture fees ; Gilead: Consultancy; F. Hoffman-La Roche: Other: Travel support and lecture fees. Nielsen:F. Hoffmann-La Roche Ltd: Employment, Other: Ownership interests PLC. Mattiello:Roche: Employment. Zeuner:F. Hoffman-La Roche: Employment, Equity Ownership. Meignan:F. Hoffman-La Roche Ltd: Honoraria.

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Baseline PET-Derived Metabolic Tumor Volume Metrics Predict Progression-Free and Overall Survival in DLBCL after First-Line Treatment: Results from the Phase 3 GOYA Study

Blood ◽

10.1182/blood.v130.suppl_1.824.824 ◽

2017 ◽

Vol 130 (Suppl_1) ◽

pp. 824-824 ◽

Cited By ~ 2

Author(s):

Lale Kostakoglu ◽

Maurizio Martelli ◽

Laurie H. Sehn ◽

David Belada ◽

Angelo-Michele Carella ◽

...

Keyword(s):

B Cell ◽

Board Of Directors ◽

Predictive Value ◽

Research Funding ◽

Metabolic Tumor Volume ◽

First Line ◽

Employment Equity ◽

Phase 3 ◽

Advisory Committees ◽

Equity Ownership

Abstract Introduction: Quantitative 18fluorodeoxyglucose positron emission tomography (PET)/computed tomography assessment using total metabolic tumor volume (TMTV) and tumor lesion glycolysis (TLG) measurements has been found promising as an objective method to predict survival in diffuse large B-cell lymphoma (DLBCL) patients (pts). However, the methodology for PET-derived metrics is still evolving, and their predictive value is yet to be proven in large-scale, prospective, multicenter studies. We investigated the prognostic value of baseline maximum standardized uptake value (SUVmax), TMTV and TLG for progression-free survival (PFS) in a large pt cohort treated with obinutuzumab (GA101; G) or rituximab (R) combined with cyclophosphamide, doxorubicin, vincristine, and prednisone (CHOP) in the Phase 3 GOYA study (NCT01287741; Vitolo et al. J Clin Oncol 2017). Methods: Pts aged ≥18 years, with previously untreated, CD20-positive DLBCL and an International Prognostic Index (IPI) score ≥2 and low-risk pts with IPI scores of 1 (not due to age alone) or 0 (with bulky disease) were randomized 1:1 to receive 8 x 21-day cycles of G (1000mg intravenous [IV] on Days [D] 1, 8, and 15 of Cycle [C] 1 and D1, C2-8) or R (375mg/m2 IV on D1, C1-8) plus 6 or 8 cycles of CHOP. All pts had a baseline and end of treatment (EOT) PET. PET images were segmented using an automated workflow program in MIM software, applying thresholds of 1.5 x liver background and a minimum volume of 1mL to the whole body PET images. The data were analyzed for the overall population and according to germinal center B-cell-like (GCB), unclassified, and activated B-cell-like (ABC) subtypes of DLBCL. TMTV, TLG, and SUVmax were split into 4 categories/levels according to the following quartiles: Q1, <25%; Q2, 25-50%; Q3, 50-75%; and Q4, 75-100%, which were obtained based on their distribution in the available population. The reported hazard ratios (HRs) refer to stratified log-rank tests comparing Q2, Q3, and Q4 to Q1, adjusted for stratification factors of the study: IPI score (low [0-2], intermediate [3], and high [4-5]) and number of planned CHOP cycles (6 or 8). Results: Of 1418 enrolled pts, 1346 had a baseline PET scan and 1334 had detectable lesions. There was no statistical difference in PFS between the treatment arms (G vs R), thus the entire cohort was analyzed as a whole. Results of the predictive value of baseline TMTV for PFS are presented in quartiles in Figure 1, and results of the predictive value of TLG for PFS are presented in quartiles in Figure 2, for the overall PET intent-to-treat population. After a median follow-up of 29 months TMTV and TLG were highly predictive of PFS when comparing Q4 vs Q1: HR=2.21, 95% CI 1.48-3.29, p<0.0001, and HR=1.91, 95% CI 1.28-2.85, p=0.0005, respectively. TMTV was also predictive of overall survival (OS): HR=2.63, 95% CI 1.55-4.46; p<0.0001. However, SUVmax-based prediction of PFS was not statistically significant (HR=0.84, 95% CI 0.57-1.23, p=0.3782). Three-year PFS for pts in TMTV Q1, 2, 3 and 4 was 86% (95% CI 81-89%), 84% (95% CI 78-88%), 78% (95% CI 72-83%) and 66% (95% CI 59-71%), respectively. TMTV also showed a trend for a better prediction of PFS (Figure 3) and OS in pts with the unclassified and ABC DLBCL subtypes when compared with those with the GCB subtype. Conclusions: This large prospective study confirms baseline TMTV and TLG as predictors of PFS and OS in DLBCL after first-line immunochemotherapy, while SUVmax may not be a predictor. Furthermore, TMTV and TLG appear to be better predictors of survival for pts with the unclassified and ABC subtypes of DLBCL than for those pts with the GCB subtype. Further analyses are underway comparing these results with the predictive value of percentage change from baseline to EOT PET, Deauville score-based analysis of EOT PET, and the various molecular DLBCL subtypes. Figure 1 Figure 1. Disclosures Kostakoglu: Roche: Consultancy, Other: GOYA is sponsored by F. Hoffmann-La Roche Ltd. Third-party editorial support, under the direction of Lale Kostakoglu and Denis Sahin, was provided by Helen Cathro of Gardiner-Caldwell Communications, and was funded by F. Hoffmann-La Roche Ltd. Sehn: Celgene: Consultancy, Honoraria; Seattle Genetics: Consultancy, Honoraria; Janssen: Consultancy, Honoraria; Abbvie: Consultancy, Honoraria; Amgen: Consultancy, Honoraria; Roche/Genentech: Consultancy, Honoraria. Chua: Lundbeck: Honoraria; Roche: Honoraria; Seattle Genetics: Honoraria; Gilead Sciences: Honoraria; Merck: Honoraria. Gonzalez-Barca: Gilead: Consultancy; Sandot: Consultancy; Janssen: Speakers Bureau; Roche: Speakers Bureau. Pinto: Millenium Takeda: Research Funding; Gilead: Honoraria; Roche: Honoraria; Bristol Myers Squibb: Honoraria; Merck Sharp Dome: Honoraria; Celgene: Honoraria; Helssin: Honoraria; Mundipharma EDO: Speakers Bureau. Fingerle-Rowson: F. Hoffmann-La Roche Ltd: Employment, Equity Ownership. Knapp: Roche: Employment. Mattiello: Roche: Employment. Nielsen: F. Hoffmann-La Roche Ltd: Employment, Equity Ownership. Sellam: Roche: Employment. Sahin: Roche: Employment, Equity Ownership. Vitolo: Janssen: Honoraria, Membership on an entity's Board of Directors or advisory committees; Gilead: Honoraria; Mundipharma: Honoraria; Takeda: Honoraria; Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees; Roche: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding. Trněný: Janssen: Consultancy, Honoraria; Abbvie: Consultancy, Honoraria; Gilead: Consultancy, Honoraria; BMS: Consultancy, Honoraria; Takeda: Consultancy, Honoraria; Roche: Consultancy, Honoraria, Research Funding; Celgene: Consultancy, Honoraria, Research Funding.

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Nilotinib Shows Safety and Efficacy in Older Patients (≥ 65 years) with Newly Diagnosed Chronic Myeloid Leukemia in Chronic Phase Comparable with That in Younger Patients with Chronic Myeloid Leukemia in Chronic Phase: Results From ENESTnd,

Blood ◽

10.1182/blood.v118.21.3768.3768 ◽

2011 ◽

Vol 118 (21) ◽

pp. 3768-3768 ◽

Cited By ~ 5

Author(s):

Richard A. Larson ◽

Udomsak Bunworasate ◽

Anna G. Turkina ◽

Stuart L. Goldberg ◽

Pedro Dorlhiac-Llacer ◽

...

Keyword(s):

Chronic Myeloid Leukemia ◽

Board Of Directors ◽

Myeloid Leukemia ◽

Research Funding ◽

Chronic Phase ◽

Newly Diagnosed ◽

Employment Equity ◽

Advisory Committees ◽

Equity Ownership ◽

Grade 3

Abstract Abstract 3768 Background: Data from the phase 3, randomized multicenter ENESTnd trial have demonstrated the superiority of nilotinib over imatinib after 24 months (mo) of follow-up, with significantly higher rates of complete cytogenetic response (CCyR) and major molecular response (MMR), and significantly lower rates of progression to accelerated phase/blast crisis (AP/BC). The current subanalysis evaluated the efficacy and safety of nilotinib 300 mg twice daily (Nil300) and nilotinib 400 mg twice daily (Nil400) in older (≥ 65 years [yrs] at study entry) patients (pts) with newly diagnosed chronic myeloid leukemia (CML) in chronic phase (CP) with a minimum follow-up of 24 mo. Methods: In ENESTnd, 846 pts stratified by Sokal risk score were randomized 1:1:1 to Nil300 (n = 282), Nil400 (n = 281), or imatinib 400 mg once daily (n = 283). Pts with impaired cardiac function or ECOG performance status > 2 were excluded. Rates of CCyR and MMR by 24 mo, progression to AP/BC on treatment, and safety were evaluated according to age group (< 65 vs ≥ 65 yrs) in the 2 nilotinib arms. Safety data are reported for any pt who received ≥ 1 dose of nilotinib (n = 279, Nil300; n = 277, Nil400). Results: 36 pts (13%) and 28 pts (10%) were ≥ 65 yrs old in the Nil300 and Nil400 arms, respectively. Of the pts aged ≥ 65 yrs, 51/64 (80%) had an ECOG performance status of 0 at baseline and 60/64 (94%) had intermediate or high Sokal risk scores. Of the older pts, 8 (22%) on Nil300 and 6 (21%) on Nil400 had type 2 diabetes at baseline. CCyR rates by 24 mo were 83% and 68% among older pts treated with Nil300 and Nil400, respectively, and 87% for pts aged < 65 yrs in each nilotinib arm. By 24 mo, MMR was achieved by 72% and 61% of older pts on Nil300 and Nil400, respectively; in pts aged < 65 yrs, the respective rates were 71% and 67%. All 5 pts who progressed to AP/BC on treatment (2 on Nil300 and 3 on Nil400) were aged < 65 yrs. The frequency of grade 3/4 hematologic adverse events (AEs) was low in older pts; no pts had grade 3/4 neutropenia and only 1 older pt reported grade 3/4 thrombocytopenia in each nilotinib arm (Table). Transient, asymptomatic lipase elevations were reported in 11% and 16% of older pts treated with Nil300 and Nil400, and 7% of younger pts in each arm. Hyperglycemia occurred in 23% and 16% of older pts on Nil300 and Nil400, respectively, and 4% of younger pts in each arm; regardless of age, no pt discontinued study due to hyperglycemia. Among the 12 older pts with grade 3/4 hyperglycemia (8 on Nil300; 4 on Nil400), 9 pts had type 2 diabetes at baseline. There were no QTcF increases of > 60 msec from baseline in older pts and 3 in nilotinib-treated pts < 65 yrs old (1 on Nil300; 2 on Nil400). QTcF prolongation of > 500 msec did not occur in any pt treated with nilotinib on study. Periodic echocardiograms were done, and there were no decreases of > 15% in left ventricular ejection fraction from baseline in any pt treated with nilotinib on study. There were 4 cases of ischemic heart disease reported in older pts (1/35 [3%] on Nil300; 3/25 [12%] on Nil400) and 7 cases in pts < 65 yrs of age (4/244 [2%] on Nil300; 3/252 [1%] on Nil400). No sudden deaths occurred on study. Discontinuation occurred in approximately 25% of older and younger pts with Nil300, of which, 6% and 9%, respectively, were due to AEs/lab abnormalities. Discontinuation from study with Nil400 was 46% in older pts and 19% in younger pts; of which, 36% and 10% were due to AEs/lab abnormalities. Conclusions: Older pts treated with nilotinib demonstrated high rates of cytogenetic and molecular responses and low rates of progression. Nilotinib was generally well tolerated by older pts. In older pts, Nil300 had numerically higher rates of CCyR and MMR and was generally better tolerated (as evidenced by fewer AEs and discontinuations) vs Nil400. These data support the use of Nil300 in older pts with newly diagnosed CML-CP. Disclosures: Larson: Novartis Pharmaceuticals: Consultancy, Honoraria, Research Funding. Bunworasate:Novartis Pharmaceutical: Research Funding. Turkina:Novartis: Consultancy, Honoraria; BMS: Honoraria. Goldberg:Bristol Myers Squibb: Honoraria, Research Funding, Speakers Bureau; Novartis Pharmaceutical: Honoraria, Research Funding, Speakers Bureau; Ariad: Research Funding. Dorlhiac-Llacer:Bristol Myers Squibb: Research Funding; Novartis: Research Funding. Kantarjian:Novartis: Consultancy; Novartis: Research Funding; Pfizer: Research Funding; BMS: Research Funding. Saglio:Bristol-Myers Squibb: Consultancy, Speakers Bureau; Novartis Pharmaceutical: Consultancy, Speakers Bureau; Pfizer: Consultancy. Hochhaus:Ariad: Consultancy, Honoraria, Research Funding; Bristol Myers Squibb: Consultancy, Honoraria, Research Funding; Novartis Pharmaceutical: Consultancy, Honoraria, Research Funding; Merck: Consultancy, Honoraria, Research Funding. Hoenekopp:Novartis Pharmaceutical: Employment, Equity Ownership. Blakesley:Novartis Pharmaceutical: Employment. Yu:Novartis: Employment, Equity Ownership. Gallagher:Novartis: Employment, Equity Ownership. Clark:Bristol Myers Squibb: Honoraria, Research Funding; Novartis Pharmaceutical: Honoraria, Research Funding, Speakers Bureau. Hughes:Bristol Myers Squibb: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Ariad: Honoraria, Membership on an entity's Board of Directors or advisory committees.

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Treatment-Free Remission in Patients with Chronic Myeloid Leukemia in Chronic Phase According to Reasons for Switching from Imatinib to Nilotinib: Subgroup Analysis from ENESTop

Blood ◽

10.1182/blood.v128.22.792.792 ◽

2016 ◽

Vol 128 (22) ◽

pp. 792-792 ◽

Cited By ~ 13

Author(s):

Timothy P. Hughes ◽

Carla Maria Boquimpani ◽

Naoto Takahashi ◽

Noam Benyamini ◽

Nelma Cristina D Clementino ◽

...

Keyword(s):

Board Of Directors ◽

Myeloid Leukemia ◽

Research Funding ◽

Chronic Phase ◽

Molecular Response ◽

Employment Equity ◽

Advisory Committees ◽

Loss Of Response ◽

Equity Ownership ◽

Treatment Free Remission

Abstract Background: ENESTop, an ongoing, single-arm, phase 2 study (ClinicalTrials.gov, NCT01698905), is the first trial specifically evaluating treatment-free remission (TFR; ie, stopping tyrosine kinase inhibitor [TKI] treatment without a loss of response) in patients with chronic myeloid leukemia in chronic phase (CML-CP) who achieved a sustained deep molecular response after switching from imatinib (IM) to nilotinib (NIL). Of 126 patients in ENESTop who were eligible to stop NIL, 57.9% (95% CI, 48.8%-66.7%) maintained TFR at 48 weeks. Here we present results from a subgroup analysis based on reasons for switching from IM to NIL, categorized as intolerance, resistance, and physician preference. Methods:Eligible patients were adults with CML-CP who received ≥ 3 years of total TKI therapy (> 4 weeks of IM, followed by ≥ 2 years of NIL) and achieved a sustained MR4.5 (BCR-ABL1 ≤ 0.0032% on the International Scale [BCR-ABL1IS]) on NIL therapy; patients with a documented MR4.5 at the time of switch from IM to NIL were not eligible. Enrolled patients continued NIL treatment in a 1-year consolidation phase, and those without confirmed loss of MR4.5 (ie, consecutive BCR-ABL1IS > 0.0032%) were eligible to stop NIL in the TFR phase. Patients with loss of major molecular response (MMR; ie, BCR-ABL1IS > 0.1%) or confirmed loss of MR4 (ie, consecutive BCR-ABL1IS > 0.01%) during the TFR phase reinitiated NIL treatment. The primary endpoint was the proportion of patients who maintained TFR (ie, no loss of MMR, confirmed loss of MR4, or treatment reinitiation) at 48 weeks after stopping NIL. In this post hoc analysis, rates of TFR at 48 weeks after stopping NIL and a Kaplan-Meier (KM) analysis of treatment-free survival (TFS; defined as the time from the start of TFR to the earliest occurrence of any of the following: loss of MMR, confirmed loss of MR4, reinitiation of NIL due to any cause, progression to accelerated phase/blast crisis, death due to any cause) were evaluated in subgroups of patients who switched from IM to NIL due to intolerance, resistance, or physician preference. These categories were determined by grouping the reasons for switching from IM to NIL, as reported by the investigators, based on relatedness to safety (intolerance), loss of response/treatment failure (resistance), and the physician's clinical judgment (physician preference); individual reasons included within each category are presented in the Figure. Results:A total of 125 patients who entered the TFR phase were included in this analysis; 1 patient who was found to have had atypical transcripts was excluded. Among these 125 patients, the reasons for switching to NIL were categorized as intolerance in 51 patients (40.8%), resistance in 30 patients (24.0%), and physician preference in 44 patients (35.2%). The proportion of patients who maintained TFR at 48 weeks after stopping NIL was generally similar across the 3 subgroups: 30 of 51 (58.8%; 95% CI, 44.2%-72.4%) in the intolerance subgroup, 16 of 30 (53.3%; 95% CI, 34.3%-71.7%) in the resistance subgroup, and 27 of 44 (61.4%; 95% CI, 45.5%-75.6%) in the physician preference subgroup. KM analysis of TFS showed that in all 3 subgroups, the majority of TFS events occurred within the first 24 weeks after stopping NIL (Figure). There were no notable differences in the kinetics of TFS events among subgroups. The KM-estimated median duration of TFS was not reached by the data cutoff date in all 3 subgroups. Conclusion: Primary analysis from ENESTop showed that among patients with CML-CP who achieved a sustained MR4.5after switching from IM to NIL, 57.9% of those who stopped NIL maintained TFR at 48 weeks. In the present analysis, TFR was maintained at 48 weeks after stopping NIL by > 50% of patients in the intolerance, resistance, and physician preference subgroups, with generally similar results across subgroups. These findings suggest that the rate of successful TFR following second-line NIL does not differ based on the reasons for switching from IM to NIL. Figure. Figure. Disclosures Hughes: Ariad: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; BMS: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Australasian Leukaemia and Lymphoma Group (ALLG): Other: Chair of the CML/MPN Disease Group. Boquimpani:Novartis: Research Funding, Speakers Bureau; BMS: Speakers Bureau. Takahashi:Novartis: Honoraria, Research Funding; Pfizer: Honoraria, Research Funding; BMS: Honoraria. Shuvaev:Pfizer: Honoraria; BMS: Honoraria; Novartis pharma: Honoraria. Ailawadhi:Pharmacyclics: Consultancy; Novartis: Consultancy; Amgen Inc: Consultancy; Takeda Oncology: Consultancy. Lipton:Pfizer: Consultancy, Research Funding; Novartis: Consultancy, Research Funding; BMS: Consultancy, Research Funding; Ariad: Consultancy, Research Funding. Turkina:Pfizer: Honoraria; Novartis Pharma: Honoraria; BMS: Honoraria. Moiraghi:BMS: Speakers Bureau; NOVARTIS: Speakers Bureau. Nicolini:Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; BMS: Consultancy, Honoraria; Ariad pharmaceuticals: Honoraria, Membership on an entity's Board of Directors or advisory committees. Sacha:BMS: Consultancy, Honoraria, Speakers Bureau; Incyte: Consultancy, Honoraria, Speakers Bureau; Pfizer: Consultancy, Honoraria, Speakers Bureau; Novartis: Consultancy, Honoraria, Speakers Bureau; Adamed: Consultancy, Honoraria. Kim:Pfizer: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; BMS: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Novartis: Consultancy, Honoraria, Research Funding, Speakers Bureau; ILYANG: Consultancy, Honoraria, Research Funding. Fellague-Chebra:Novartis: Employment. Acharya:Novartis Healthcare Pvt. Ltd.: Employment. Krunic:Novartis: Employment, Equity Ownership. Jin:Novartis: Employment, Equity Ownership. Mahon:BMS: Honoraria; PFIZER: Honoraria; NOVARTIS PHARMA: Honoraria, Research Funding; ARIAD: Honoraria.

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Minimal Residual Disease in Patients with Follicular Lymphoma Treated with Obinutuzumab or Rituximab As First-Line Induction Immunochemotherapy and Maintenance in the Phase 3 GALLIUM Study

Blood ◽

10.1182/blood.v128.22.613.613 ◽

2016 ◽

Vol 128 (22) ◽

pp. 613-613 ◽

Cited By ~ 20

Author(s):

Christiane Pott ◽

Eva Hoster ◽

Britta Kehden ◽

Michael Unterhalt ◽

Michael Herold ◽

...

Keyword(s):

Board Of Directors ◽

Research Funding ◽

Prognostic Value ◽

Residual Disease ◽

First Line ◽

Employment Equity ◽

Phase 3 ◽

Advisory Committees ◽

Equity Ownership ◽

Minimal Residual

Abstract Background: Minimal residual disease (MRD) status reflects treatment efficacy and may predict prognosis after first-line therapy in patients (pts) with follicular lymphoma (FL). GALLIUM (NCT01332968) is an ongoing, randomized global Phase 3 study evaluating the efficacy and safety of obinutuzumab (GA101; GAZYVA/GAZYVARO; G) vs rituximab (R) as induction (with chemotherapy [chemo]; bendamustine, CHOP or CVP) and maintenance (in responders) in previously untreated pts with indolent non-Hodgkin lymphoma. In GALLIUM, the primary endpoint of investigator-assessed PFS in pts with FL was significantly improved with G- vs R-based treatment. We report the results of MRD assessment at mid induction (MI) and end of induction (EOI) in FL pts in GALLIUM. Methods: Diagnostic peripheral blood (PB) and bone marrow (BM) samples from FL pts were screened by consensus PCR to detect a t(14;18) translocation and/or clonal Ig variable domain rearrangement suitable for MRD assessment. In pts with a detectable clonal marker, allele- or translocation-specific real-time quantitative (RQ)-PCR assays were designed with a sensitivity ≤10-4. RQ-PCR data were evaluated by European Study Group criteria for MRD detection (van der Velden, Leukemia 2007). MRD status was assessed at MI in PB, and at EOI in PB and BM, and defined as negative (MRD response) if RQ-PCR and subsequent nested PCR were negative in all samples analyzed at the respective time point. Results: Of the 1202 FL pts enrolled in GALLIUM, 1138 provided consent for MRD analyses. Baseline PB or BM samples were available for 1101 pts; a clonal marker was detected in 968 (88%) of these pts and 815 (74%) had an RQ-PCR assay fulfilling sensitivity criteria. Pts with a detectable clonal marker had baseline characteristics comparable to pts without a marker, with the exception of higher-stage disease (61% vs 34% Ann Arbor stage IV), reflecting increased BM involvement. Among 696 pts with an available PB or BM sample at EOI, MRD response was significantly higher in the G-chemo arm than the R-chemo arm (92% vs 85%; p=0.0041; Table 1). BM clearance of residual tumor cells at EOI was higher in the G-chemo vs R-chemo arm (93% [199/214] vs 83% [165/200]; p=0.0014), whereas PB clearance at EOI was similarly high in both arms (96% [323/336] vs 94% [320/341]; p=0.22). MRD clearance occurred early during treatment: at MI, 94% of pts in the G-chemo arm achieved MRD-negative status in PB compared with 89% in the R-chemo arm (p=0.013; Table 2). The anti-lymphoma activity of G-chemo induction was confirmed by analyzing quantitative MRD data in PB at MI: all 20 (100%) pts who remained MRD-positive at MI in the G-chemo arm had low-level MRD (below the limit of quantification) compared with 24/38 (63%) pts in the R-chemo arm. The chemo backbone in the R-chemo arm affected MRD status in PB at EOI giving an MRD response rate of 96% (201/209) after R-bendamustine (B), 93% (100/108) after R-CHOP, and 79% (19/24) after R-CVP. No such effect was seen in the G-chemo arm, where MRD response rates in PB at EOI were high and similar with all three chemo regimens: 96% (187/194), 96% (105/109), and 94% (31/33), respectively. Similarly, in BM, chemo had a large influence on MRD-negative status at EOI in the R-chemo arm (87% [100/115] after R-B, 74% [55/74] after R-CHOP), but negligible impact in the G-chemo arm (93% [109/117] after G-B, 93% [76/82] after G-CHOP). Achievement of MRD negativity at EOI in PB/BM for pts with CR/PR at EOI was associated with longer subsequent PFS, with a hazard ratio of 0.35 (95% CI, 0.22, 0.56; p<0.0001; Figure 1), and comparable effects in both treatment arms. Conclusions: Data from this exploratory analysis support the potential prognostic value of MRD assessment after EOI in FL pts treated with immunochemotherapy. The higher proportion of pts achieving MRD-negative status at MI and EOI, and of pts with low-level MRD among MRD-positives at MI, in the G-chemo arm suggests that G-based induction induces rapid and more effective tumor cell clearance than R-containing therapy. G was more effective than R at enhancing the depth of response to induction therapy in PB and BM, potentially leading to a compensation of differential chemo activity. Future analyses of MRD kinetics during maintenance/follow-up will investigate the pattern and prognostic value of changes in MRD status before relapse, and further evaluate the impact of different chemo regimens. Figure 1. PFS from date of EOI sample by MRD status in PB and/or BM Figure 1. PFS from date of EOI sample by MRD status in PB and/or BM Disclosures Herold: Roche: Honoraria, Other: Grants; Genentech: Other: Grants; Celgene: Honoraria; Gilead: Other: Personal fees from member advisory board. Kneba:AbbVie: Consultancy, Honoraria, Other: Travel grants; Gilead: Consultancy, Honoraria, Other: Travel grants, Research Funding; Janssen-Cilag: Consultancy, Honoraria, Other: Travel grants; Roche: Consultancy, Honoraria, Other: Travel grants, Research Funding; Amgen: Research Funding; Glaxo-SmithKline: Other: Travel grants. Mayer:AOP Orphan Pharmaceuticals: Research Funding; Novartis: Research Funding. Danesi:F. Hoffmann-La Roche Ltd: Employment. Fingerle-Rowson:Roche: Employment, Equity Ownership. Harbron:Roche: Employment, Equity Ownership; AstraZeneca: Equity Ownership. Mundt:Roche: Employment. Marcus:Takeda: Consultancy, Speakers Bureau; Roche: Consultancy, Speakers Bureau. Hiddemann:Janssen: Membership on an entity's Board of Directors or advisory committees, Research Funding; Roche: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Gilead: Research Funding.

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