Fertility Rates in Young Hodgkin Lymphoma Survivors: A Danish Nationwide Cohort Study of 769 Patients

Introduction: The vast majority of young adults with Hodgkin lymphoma (HL) are cured by contemporary first line treatments. Treatment-related long-term toxicities can have a negative impact on survivorship and the risk of infertility may be particularly pertinent to young HL survivors. This study aimed to investigate the fertility rate (rate of first child after index date) over time in patients with HL compared to the matched controls. Methods: All Danish patients with HL, including classical and lymphocyte predominant HL, diagnosed in the period 2000-2015 were identified in the Danish Lymphoma Registry. Patients aged 18-40 years at diagnosis with documented complete remission after first line therapy were included. Patient data were merged with the Danish Fertility Database and the Medical Register of Births and Deaths. For each HL patient, five random Danish citizens alive at the index date of the HL patient were matched on birth date, sex, and parenthood status (categorical; with children vs without children at the index date). Follow-up was measured from 9 months post diagnosis (index date) until the time of first child, relapse, death, or censoring, whichever came first. Patients with progression/relapse within the first 9 months after diagnosis were excluded. Cumulative incidences of first living child after the index date were computed for the entire cohort and stratified on sex using the Aalen-Johansen estimator with death or relapse before first child after index date as competing events. Cox regression was used to compare the rates of first child of HL patients and matched controls by clinical subgroups and estimated for males and females separately. Results: A total of 769 HL patients were included (male:female ratio 1.2, median age 30 years) and median follow-up was 9.9 years. The mean numbers of children per person at start of follow-up were similar in patients and matched controls (female HL patients 0.64 vs matched controls 0.63 children per individual; male HL patients 0.56 vs matched controls 0.54 children per individual). At the end of follow-up, average numbers of children were higher in male and female HL patients (female HL patients 1.22 children per individual; matched control 1.14 children per individual) and males (HL patients 1.00 children per individual; matched controls 0.92 children per individual). The cumulative incidence of first child after index date in female HL patients was lower during the first three years of follow-up compared to the matched controls. However, beyond three years of follow-up the cumulative incidences of first child after index date were similar (Figure 1A). Among male HL patients the cumulative incidence of first child after index date was higher than that of the matched controls throughout the entire follow-up (Figure 1B). Overall, fertility rates were higher in HL patients (males, 36.7 per 1,000 person years; females, 41.7 per 1,000 person years) as compared to the matched controls (males, 24.2 per 1,000 person years; females, 33.0 per 1,000 person years). The Cox regression showed that both male and female patients with HL had higher fertility rates as compared to matched controls (males, HR 1.5, p-value < 0.001; females, HR 1.2, p-value = 0.012; Table 1). This was also observed in specific clinical subgroups, i.e. ages 18-30 years, CCI 0, no children prior to diagnosis, and limited stage disease. Moreover, among patients receiving 6+ cycles of chemotherapy, fertility rates were not lower than expected (Table 1). Conclusion: The fertility rates for long-term HL survivors without progression/relapse were higher than in matched controls, in particular for male HL patients. Elevated fertility rates as compared to the matched controls were observed for lower age (<30 years), limited stage disease, and for patients without children at the time of diagnosis. No clinical subgroup did significantly decrease the fertility rates. Disclosures Hutchings: Genmab: 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; Celgene: Research Funding; Takeda: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Janssen: Research Funding; Novartis: Research Funding. Frederiksen:Abbvie: Research Funding; Alexion: Research Funding; Gilead: Research Funding; Novartis: Research Funding; Janssen: Research Funding. Eloranta:Karolinska Institutet: Other: coordinator for a public-private real world evidence; Janssen Pharmaceuticals.: Other: project coordinator for a public-private real world evidence. Glimelius:Janssen Pharmaceuticals: Honoraria. Ekstroem Smedby:Janssen Cilag: Honoraria, Other: Grant funding, Research Funding; Celgene: Honoraria, Other: Grant funding, Research Funding; Takeda: Honoraria, Other: Grant funding, Research Funding. El-Galaly:Roche: Employment, Other: Travel support; Takeda: Other: Travel support.

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Inferior Outcomes for Older Patients in the Adolescent and Young Adult (AYA) Population with Burkitt Lymphoma Treated with Intensive Immunochemotherapy: An International Study of 108 Patients

Blood ◽

10.1182/blood-2019-127995 ◽

2019 ◽

Vol 134 (Supplement_1) ◽

pp. 4113-4113

Author(s):

Fredrik Ellin ◽

Knut B. Smeland ◽

Tove Wästerlid ◽

Jacob H. Christensen ◽

Judit Jørgensen ◽

...

Keyword(s):

General Population ◽

Board Of Directors ◽

Research Funding ◽

Age Groups ◽

Age Group ◽

Grant Funding ◽

Advisory Committees ◽

Population Survival ◽

Funding Research

Introduction: Non-endemic Burkitt lymphoma (BL) is a rare and highly aggressive B-cell malignancy, of whom a substantial number are adolescents and young adults (AYAs). In this particular group of patients, the balance between efficacy and long-term toxicities is of major concern, due to the long expected remaining lifetime. In this study, we investigated the outcomes for AYA patients treated with intensive immunochemotherapy. Patients and methods: Patients were identified through queries to clinic based and population-based lymphoma registries from six countries (Australia, Canada, Denmark, Norway, Sweden, and USA). All diagnoses were confirmed by local investigators; patients with classical BL histology plus detectable MYC translocation, were included. Patients between 18 and 39 years of age at diagnosis treated with intensive immunochemotherapy (DA-EPOCH-R or more intensively) were evaluated in pre-specified age groups. All treatment protocols included rituximab. Overall survival (OS) was defined as the time from diagnosis until death from any cause or censoring, while event-free survival (EFS) was defined as the time from diagnosis until unplanned re-treatment, progression/relapse, death, or censoring, whichever came first. Response evaluation was assessed using established response criteria based on CT and/or PET/CT imaging. Survival curves were computed using the Kaplan-Meier estimator. The cumulative incidence of relapse in patients reaching complete remission (CR) or CR unconfirmed (CRu) was computed by Aalen-Johansen estimator. The 5-year restricted loss of lifetime (RLOL) was defined as the area between the patient and general population survival curves until 5-years. The general population survival was retrieved from publicly available lifetables stratified on age, sex, calendar year, and country. Results: In total, 108 AYA BL patients were included. The median age was 30 years, ranging between 18 and 39 and 82% were male. The majority had advanced stage disease (Ann Arbor stage III-IV, 76%), extranodal involvement (87%), and elevated LDH (67%). Seven patients (6%) had CNS involvement at the time of diagnosis. The chemotherapy regimens used were CODOX-M/IVAC (51%), BFM/GMALL (34%), hyper-CVAD (7%), DA-EPOCH (5%), and others (3%). Among 74 patients for whom data on tumor lysis were available, 10 (14%) developed clinical tumor lysis upon start of chemotherapy, all presenting with advanced stage and extranodal disease. The response rate was 91% (89 in CR/CRu and 2% in partial remission). At a median follow-up of 53 months, 15 had an event and 10 died. The 2-year OS and EFS for the total population was 92% (87-97%, Figure 1) and 88% (82-94%), respectively. For 13 patients aged 18-21 2-year OS and EFS were both 100%, while 2-year OS and EFS for 43 patients aged 22-30 were 98% (93-100%) and 93% (85-100%), respectively. The 2-year OS and EFS for patients aged 31-39 were 86% (76-96%) and 80% (69-91%), respectively. For patients in CR/CRu and available date of response evaluation, the 2-year post-remission OS was 99% (97-100%) and the 2-year relapse risk was 2% (0-5%), with no relapses after 6 months. Compared to the general population, the RLOL was 0.8 months (-0.5-2.2 months). Nine patients did not respond to primary treatment (SD or PD), all which belonged to the age group 31-40 years (P<0.001 versus age group 18-30 years). The oldest age group had an inferior OS compared to younger patients (P=0.008), largely due to non-responders having poor subsequent survival with a 1-year OS of 33%. Conclusion: The outcomes of AYA BL patients following intensive immunochemotherapy are excellent with high remission rates and low risk of relapse in general. However, even among young patients age remained prognostic, with patients 31 years or older having inferior OS and lower response rate to first-line treatment. In patients achieving CR, survival was similar to that of the general population over the median follow-up of 4.5 years, illustrating the need to focus on survivorship issues in these individuals. Figure 1: Overall survival for BL patients following intensive immunochemotherapy for all patients and for age groups (18-21, 22-30, and 31-39 years). Figure 1 Disclosures Jørgensen: Gilead: Membership on an entity's Board of Directors or advisory committees; Roche: Membership on an entity's Board of Directors or advisory committees. Holte:Novartis: Honoraria, Other: Advisory board. Molin:Roche Holding AG: Honoraria; Merck & Co., Inc.: Honoraria; Bristol-Myers Squibb: Honoraria; Takeda Pharmaceuticals: Honoraria. Ekstroem Smedby:Takeda: Honoraria, Other: Grant funding, Research Funding; Celgene: Honoraria, Other: Grant funding, Research Funding; Janssen Cilag: Honoraria, Other: Grant funding, Research Funding. Song:Takeda: Honoraria; Celgene: Honoraria, Research Funding; Janssen: Honoraria; Amgen: Honoraria. Gerrie:Lundbeck, Seattle Genetics: Consultancy, Honoraria. Cheah:Roche, Janssen, MSD, Gilead, Loxo Oncology, Acerta, BMS: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Roche: Other: Travel expenses; Celgene, Roche, Abbvie: Research Funding. El-Galaly:Roche: Employment, Other: Travel support; Takeda: Other: Travel support.

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Gene Mutations and Treatment Outcome in CLL Patients Treated with Chlorambucil (Chl) or Ofatumumab-Chl (O-Chl): Results from the Phase III Study COMPLEMENT1 (OMB110911)

Blood ◽

10.1182/blood.v124.21.1992.1992 ◽

2014 ◽

Vol 124 (21) ◽

pp. 1992-1992 ◽

Cited By ~ 1

Author(s):

Eugen Tausch ◽

Christina Galler ◽

Richard Schlenk ◽

Peter Hillmen ◽

Fritz Offner ◽

...

Keyword(s):

Prognostic Factors ◽

Board Of Directors ◽

Research Funding ◽

Cox Regression ◽

Gene Mutations ◽

Phase Iii ◽

Response To Treatment ◽

Prognostic Impact ◽

Advisory Committees

Abstract BACKGROUND: Genomic aberrations and IGHV mutation status are established prognostic factors in CLL. With TP53, NOTCH1, SF3B1, ATM, MYD88, FBXW7, BIRC3 and POT1 recurrently mutated genes were found in CLL and were discussed to associate with disease characteristics and to affect therapy efficacy and outcome. METHODS: We assessed the incidence and impact of gene mutations in the COMPLEMENT1 trial (1st line Chl vs. O-Chl). Pretreatment samples were available from 376 patients (84.1%) and this cohort was representative of the full trial population. Mutations were analyzed by amplicon-based targeted NGS using Illumina Miseq for all coding exons (TP53, ATM, MYD88, FBXW7, BIRC3 and POT1) or hotspot exons (NOTCH1, SF3B1). Additionally, the exact variant frequency was determined. RESULTS: The incidences of gene mutations were: TP53 8.2%, NOTCH1 14.9%, SF3B1 14.1%, ATM 10.9%, MYD88 2.7%, FBXW7 3.5%, POT1 7.7%, and BIRC3 2.7%. Regarding baseline characteristics, we found significant associations: TP53mut with high ß2MG (p=0.01), 17p- (p<0.01), and unmutated IGHV (p=0.01); ATMmut with high WBC (p=0.02), and 11q- (p<0.01); MYD88mut with mutated IGHV (p=0.02); FBXW7mut with 17p- (p=0.02), and +12q (p<0.01). BIRC3mut was only present in IGHV unmutated cases (p<0.01), was more frequent in 11q- (p<0.01), +12q (p=0.05), and in cases with NOTCH1mut (p=0.05). POT1mut was more frequent in NOTCH1mut cases (p=0.02) without associations with any other baseline parameter. Regarding response to treatment, TP53mut was significantly associated with reduced ORR rate (p<0.01). CR rate was not correlated with mutations in the covered genes. At a median follow-up of 31.7 months, there were 249 (66%) events for PFS and 63 (16.8%) events for OS. O-Chl as compared to Chl resulted in significantly improved PFS (median 22.4 vs. 13.1 months, HR 0.54, p<0.01). In univariate analyses, TP53mut (HR 2.07, p<0.01), NOTCH1mut (HR 1.50, p=0.01) and SF3B1mut (HR 1.66, p=0.01) were associated with shorter PFS, whereas ATM and other candidate genes showed no association (ATMmut: HR 1.40, p=0.07). Analyzing both treatment arms separately, TP53mut had an impact on PFS with Chl and O-Chl treatment (HR 1.92, p=0.04 and HR 2.49, p<0.01). Notably, NOTCH1mut was associated with outcome in O-Chl only (HR 2.01, p<0.01 vs. HR 1.14, p=0.59) resulting in a reduced beneficial effect from the addition of Ofatumumab to Chlorambucil treatment. ATMmut and BIRC3mut mutations were only adverse prognostic factors with Chl monotherapy (ATMmut: HR 1.69, p=0.05 vs. HR 1.35, p=0.27; BIRC3mut: HR 2.84, p=0.04 vs. HR 0.99, p=0.99). OS was reduced significantly only in TP53mut cases (HR 3.69, p<0.01). Of note, none of the MYD88mut cases (n=10) had died within the follow-up period. To identify genomic factors of independent prognostic impact, we performed multivariable Cox regression analyses for PFS and OS including treatment arms, 11q-, +12q, 17p-, IGHV and all candidate gene mutations. For PFS, the following independent prognostic factors were identified: O-Chl (HR 0.46, p<0.01), 17p- (HR 3.14, p<0.01), 11q- (HR 1.57, p=0.01), unmutated IGHV (HR 1.43, p=0.02), TP53mut (HR 1.81, p=0.03), NOTCH1mut (HR 1.63, p<0.01) and SF3B1mut (HR 1.54, p=0.02). Regarding OS, only 17p- (HR 4.07, p<0.01), and unmutated IGHV (HR 1.81, p=0.05) were identified as independent adverse prognostic factors with TP53mut showing a trend (HR 2.14, p=0.10). CONCLUSION: We performed mutational analyses for the 8 most frequent mutated genes in CLL in the COMPLEMENT1 trial evaluating 1st line O-Chl against Chl. An independent prognostic impact was identified for TP53mut, NOTCH1mutand SF3B1mut regarding PFS. Notably, NOTCH1mut affected outcome mainly with O-Chl treatment, whereas ATMmut and BIRC3mut were associated with outcome with Chl monotherapy. In multivariate analysis for OS, none of the gene mutations, but the established parameters IGHV and 17p- had independent prognostic impact. Disclosures Tausch: GlaxoSmithKline: Research Funding, Travel support Other. Hillmen:GSK: Honoraria, Research Funding. Offner:GlaxoSmithKline: Honoraria, Research Funding. Janssens:GSK: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Amgen: Speakers Bureau; Roche: Speakers Bureau; Mundipharma: Speakers Bureau. Mayer:Glaxo: Research Funding; Roche: Research Funding. Panagiotidis:GlaxoSmithKline: Consultancy, Honoraria. McKeown:GlaxoSmithKline: Employment. Gupta:GlaxoSmithKline: Employment. Stilgenbauer:GlaxoSmithKline: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding.

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RBC Alloimmunization Burden Is High in Regularly RBC-Transfused Myelodysplastic Syndrome (MDS) Patients: A Report from South Australian-MDS Registry

Blood ◽

10.1182/blood.v126.23.3562.3562 ◽

2015 ◽

Vol 126 (23) ◽

pp. 3562-3562

Author(s):

Deepak Singhal ◽

Sophia Hague ◽

David Roxby ◽

L Amilia Wee ◽

Oi-Lin Lee ◽

...

Keyword(s):

Board Of Directors ◽

Cumulative Incidence ◽

Scoring System ◽

Research Funding ◽

Cox Regression ◽

Competing Risk ◽

Competing Risk Analysis ◽

Advisory Committees ◽

Rbc Transfusion

Abstract Introduction: Anemia is one of the commonest presenting features of MDS and approximately 30-40% of patients require regular RBC-transfusion. RBC-transfusion dependency (RBC-TD) is a poor-prognostic factor independent of revised International Prognostic Scoring System (IPSS-R) (Hiwase et al ASH 2014). Although RBC transfusion increases the risk of alloimmunization, there is limited literature characterizing this risk in MDS patients as compared to other hematological disorders (such as thalassemia). Methods: This retrospective study assessed the alloimmunization rate in 784 MDS and AML (20-30% blasts) patients registered in the South Australian-MDS registry (SA-MDS registry) between 1991 and 2015. RBC-TD was defined as ≥1 unit of RBC transfused every eight weeks for four months according to WHO based Prognostic Scoring System. The cumulative incidence of RBC-alloimmunization was calculated using competing risk analysis (death being the competing risk). Factors associated with increased rate of RBC antibody formation were investigated by Cox regression analysis. Results: The median age of the 784 patients at diagnosis was 75 years with 66% males. The estimated median follow up time was 7.3 years. 70% of patients (549/784) were diagnosed with primary MDS, while the remaining patients were diagnosed with AML (20-30% blasts; n=57), CMML (n=91) or therapy-related myeloid neoplasm (T-MN; n=87). At last follow-up 30% patients were alive, 67% were deceased and 3% were lost to follow-up. During the study period, 658 (84%) patients required ≥1 unit of RBC transfusion and median RBC units transfused were 29 (range 0-708). The WPSS definition of RBC-TD was met in 47% (366/784 patients), while 36% (282/784) patients required intermittent RBC-transfusions (RBC-TI). During follow up, 83 (13%) patients formed 155 RBC-alloantibodies and 50% of these cases (42/83) developed >1 RBC-alloantibody. Autoantibodies were also detected in 31 cases, mainly in association with RBC-alloantibodies (n=27; complex alloimmunization) while 4 cases had only autoantibodies. Interestingly, in 19/27 of cases autoantibodies were detected only after alloimmunization. The pathophysiologic mechanism of this remains unclear. The most common alloantibody specificities were Rh (57%) and Kell (21%) (Table 1). The median interval between 1st RBC transfusion and antibody detection was 10 (0.2-225) months. In 9 cases (6 females) alloantibodies were detected prior to the 1st unit of RBC-transfused. The incidence of RBC alloimmunization reached a plateau at 16% by 100 units of RBC (Fig. 1A), however 80% of antibodies were detectable by 30-40 RBC units transfused. It indicates that most "responders" will form antibodies during the first 30-40 units of RBC transfused. Since most chronically transfused MDS patients do not form RBC alloantibodies it is important from a clinical and resource-utilization standpoint to identify who is at greatest risk of RBC alloimmunization. Multivariate analysis using Cox-regression model was performed. The only factor which was associated with significantly higher risk of RBC alloimmunization was RBC-TD (HR 2.52; p=0.0005). Age, sex, IPSS-R category and number of RBC units transfused did not independently predict alloimmunization rate. Using competing risk analysis, the cumulative incidence of RBC-alloimmunization was significantly higher in RBC-TD group compared to RBC-TI group (p=0.0004; Fig. 1B). Conclusion: RBC-alloimmunization is a substantial risk in MDS patients, especially in RBC-transfusion dependent cases. Extended phenotype matching (D,C,c,E,e and Kell) could have prevented alloantibody formation in 79% of alloimmunized MDS patients. Table 1. Specificity of 155 RBC-alloantibodies Table 1. Specificity of 155 RBC-alloantibodies Disclosures Yeung: Ariad: Honoraria, Membership on an entity's Board of Directors or advisory committees; 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.

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Treatment Patterns and Outcomes in Patients with Relapsed/Refractory Follicular Lymphoma Who Received Third Line Therapy at the Christie NHS Foundation Trust in the UK

Blood ◽

10.1182/blood-2021-148490 ◽

2021 ◽

Vol 138 (Supplement 1) ◽

pp. 5011-5011

Author(s):

Kim Linton ◽

Cristina Julian ◽

Adam Gibb ◽

Ellie White ◽

Emma-Frances Armstrong ◽

...

Keyword(s):

Follicular Lymphoma ◽

Board Of Directors ◽

Research Funding ◽

Index Date ◽

Treatment Patterns ◽

Advisory Committees ◽

Time Period ◽

Third Line ◽

Privately Held

Abstract Background: There are limited data on real-world treatment patterns and outcomes for follicular lymphoma (FL) in the relapsed/refractory (r/r) setting, with shorter response durations reported after each relapse (Link et al, 2019; Rivas-Delgado et al, 2019 and Batlevi et al, 2020). We examined treatment patterns for patients with FL initiating third line (3L) therapy at a single institution by time period in the post-rituximab era (2004-2010 and 2011-2020), and clinical outcomes for the overall cohort receiving therapy between 2004 and 2020. Methods: This is a retrospective, observational study of patients with FL who initiated 3L therapy between 2004 and 2020 in routine clinical practice at The Christie NHS Foundation Trust, UK. We selected patients aged ≥18 years at 3L initiation, with histologically documented FL Grade 1−3a treated with two prior lines of systemic therapy including an anti-CD20 monoclonal antibody and an alkylating agent, and at least one year of follow-up after initiating 3L therapy; follow-up ended June 2021. We excluded patients with grade 3b FL or transformation to high grade lymphoma any time before 3L treatment. Overall response rate (ORR) and complete response (CR) to 3L therapy was calculated, and overall survival (OS), progression free survival (PFS) and time to next treatment (TTNT) were estimated using the Kaplan-Meier (KM) method with 3L therapy initiation date as the index date. Results: Overall, 41 patients met all eligibility criteria; 11 and 30 patients received 3L therapy between 2004-2010 and 2011-2020, respectively. Median age at index date was 59 years and 53.7% were male; 73.2% had grade 1 or 2 FL; 78.1% had advanced stage (III/IV) FL at diagnosis. Median follow-up was 33.9 (IQR: 14.5, 63.0) months, and median time from diagnosis to 3L treatment was 60.2 (IQR: 29.4, 89.1) months. The most common regimen in 3L was rituximab plus bendamustine (R-benda) followed by rituximab plus cyclophosphamide, doxorubicin, vincristine, and prednisone (R-CHOP) and rituximab used as a single agent (R-mono). Treatment patterns differed by time period (Table 1). R-benda was more commonly used between 2011 and 2020. The most common sequence was rituximab plus cyclophosphamide, vincristine and prednisone (R-CVP) followed by R-CHOP and R-benda (Figure 1). ORR to 3L treatment was 61.0%, CR 29.3%. Median OS, PFS and TTNT with 95% confidence interval (CI) were 70.0 (30.2-NR), 19.2 (9.5-34.7) and 11.8 (9.0-27.6) months after 3L initiation, respectively. Two- and five-year OS rates were 79% and 50%, and two-year PFS rate was 37%. Conclusions: Patients with r/r FL treated in the routine 3L setting have highly variable treatment patterns and unfavorable outcomes, representing a continued unmet medical need. This study is limited by its small size and evolving treatments, warranting a larger study of more recently treated 3L patients to evaluate the impact of modern treatment pathways and novel therapies on clinical outcomes for r/r FL. Figure 1 Figure 1. Disclosures Linton: University of Manchester: Current Employment; BeiGene: Research Funding; Hartley Taylor: Honoraria; Genmab: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Aptitude Health: Honoraria; Celgene: Research Funding; Roche: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding. Julian: Genentech, Inc.: Current Employment, Current holder of stock options in a privately-held company. Gibb: The Christie NHS Foundation Trust: Current Employment; Takeda: Honoraria, Research Funding, Speakers Bureau. Li: Genesis Research: Current Employment. Liu: Genesis Research: Current Employment. Shewade: Genentech, Inc.: Current Employment; F. Hoffmann-La Roche Ltd: Current equity holder in publicly-traded company. Radford: BMS: Honoraria; Takeda: Consultancy, Honoraria, Research Funding, Speakers Bureau; ADC Therapeutics: Consultancy, Current holder of individual stocks in a privately-held company, Honoraria, Speakers Bureau; AstraZeneca: Current holder of individual stocks in a privately-held company.

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Myeloproliferative Neoplasms (MPN) Clonal Evolution Landscape and Its Impact on Patients' Prognosis

Blood ◽

10.1182/blood-2021-149473 ◽

2021 ◽

Vol 138 (Supplement 1) ◽

pp. 317-317

Author(s):

Lin-Pierre Zhao ◽

Marine Cazaux ◽

Nabih Maslah ◽

Rafael Daltro De Oliveira ◽

Emmanuelle Verger ◽

...

Keyword(s):

Board Of Directors ◽

Research Funding ◽

Cox Regression ◽

Myeloproliferative Neoplasms ◽

Clonal Evolution ◽

Chronic Phase ◽

Driver Mutation ◽

Advisory Committees ◽

Free Survival

Abstract Introduction: Although myeloproliferative neoplasms (MPN) are driven by three mutually exclusive driver mutations (JAK2, CALR and MPL), targeted deep sequencing studies identified multiple additional somatic mutations potentially impacting MPN evolution. Presence of a high molecular risk (HMR: ASXL1, EZH2, SRSF2 and IDH1/2) or a TP53 mutations has been associated with adverse prognosis. However, to date, the effect of clonal evolution (CEv) on MPN patients' outcome has not been evaluated, as most of the studies assessed mutational-based prognosis stratification from single baseline molecular genotyping. The objective of our study was to describe the clinical and molecular characteristics of patients with CEv in a large cohort of MPN patients and analyze its impact on patients' outcome. Methods: A total of 1538 consecutive patients were diagnosed with MPN according to WHO criteria and followed in our hospital between January 2011 and January 2021. From this large retrospective cohort, we included in this study 446 patients who had at least 2 molecular analyses during the chronic phase of MPN, performed at diagnosis and/or during follow-up using next generation sequencing (NGS), targeting a panel of 36 genes involved in myeloid malignancies. Significant variants were retained with a sensitivity of 1%. CEv was defined as the acquisition of a new additional non-driver mutation between baseline and subsequent NGS evaluation. Statistical analyses were performed using the STATA software (STATA 17.0 for Mac Corporation, College Station, TX). Results: The median age at MPN diagnosis in our whole cohort was 51 years [IQR 41 - 60]. Our cohort included 167 (37%), 205 (46%) and 64 (14%) patients with polycythemia vera, essential thrombocythemia and primary myelofibrosis (MF) respectively. With a median interval of 1.6 years [IQR 1.0 - 2.8] between the first and the second NGS analysis in the whole cohort, CEv occurred in 128 patients (29%). Patients with CEv were significantly older compared to patients without CEv (n=318) (p=0.03). MPN diagnosis, the type of driver mutation and complete blood counts at MPN diagnosis did not differ between the 2 groups. Eighty-one (63%) and 198 (62%) patients with or without CEv respectively had at least one additional non-driver mutation at baseline NGS (p=0.59), while the rate of HMR (n=25 (20%) versus n=79 (25%)) or TP53 (n=7 (5%) versus n=20 (6%)) mutations at baseline NGS did not differ between the 2 groups. Thirty six out of 128 (28%) of patients with CEv had more than 1 acquired mutation. Most recurrently acquired mutations involved the epigenetic regulators TET2 and DNMT3A that were mutated in respectively 33% and 25% of patients with CEv (Figure 1A). Moreover, 38% of CEv patients acquired HMR (ASXL1 (14%), EZH2 (6%), SRSF2 (3%), IDH1/2 (2%)) or TP53 (13%) mutations. After a median follow up of 10.8 years [IQR 6.6 - 17.2] in the whole cohort representing a total of 5635 patient years, 32 (7%) patients died, and 11 (2.5%) and 11 (2.5%) patients with at least 2 NGS performed during MPN chronic phase transformed respectively into secondary MF or myelodysplastic syndrome / acute myeloid leukemia (MDS/AML). Interestingly, CEv (HR 11.27, 95%CI [5.09; 24.96], p<0.001) (Figure 1B), age at MPN diagnosis (HR 1.11, 95%CI [1.07; 1.15], p<0.001) and the presence of HMR mutations at baseline NGS (HR 4.48, 95%CI [2.05; 9.77], p <0.001) independently adversely impacted OS in a COX regression multivariate analysis. CEv also independently adversely impacted MDS/AML free survival (HR 13.15, 95%CI [3.88; 44.47], p<0.001) and secondary MF free survival (HR 21.13, 95%CI [6.18; 72.20], p<0.001) in a COX regression multivariate analysis. Conclusion: Our study on a large retrospective clinically and biologically annotated real-life cohort of MPN patients with long-term follow up shows that CEv independently adversely impacts OS, MDS/AML and secondary MF free survivals. CEv occurred in a clinically relevant proportion of MPN patients (28%) and was associated with patients' age. Acquired mutations mainly involved epigenetic regulators, HMR and TP53 genes. These results suggest that serial molecular monitoring using NGS could be routinely implemented in MPN patients follow up, to assess more accurately disease evolution and potentially update therapeutic management. Figure 1 Figure 1. Disclosures Raffoux: PFIZER: Consultancy; CELGENE/BMS: Consultancy; ABBVIE: Consultancy; ASTELLAS: Consultancy. Kiladjian: Novartis: Membership on an entity's Board of Directors or advisory committees; Taiho Oncology, Inc.: Research Funding; Bristol Myers Squibb: Membership on an entity's Board of Directors or advisory committees; Incyte Corporation: Membership on an entity's Board of Directors or advisory committees; PharmaEssentia: Other: Personal fees; AOP Orphan: Membership on an entity's Board of Directors or advisory committees; AbbVie: Membership on an entity's Board of Directors or advisory committees. Benajiba: Gilead: Research Funding; Pfizer: Research Funding.

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Real-World Effectiveness of Voxelotor for Treating Sickle Cell Disease in the US

Blood ◽

10.1182/blood-2020-140525 ◽

2020 ◽

Vol 136 (Supplement 1) ◽

pp. 25-25

Author(s):

Ahmar Urooj Zaidi ◽

Thokozeni Lipato ◽

Ofelia A. Alvarez ◽

Alexander Lonshteyn ◽

Derek Weycker ◽

...

Keyword(s):

Board Of Directors ◽

Real World ◽

Research Funding ◽

Index Date ◽

Health Claims ◽

Transfusion Rate ◽

Publicly Traded ◽

Advisory Committees ◽

The Us

Background: Until late 2019, few treatments had been approved by the FDA for treating sickle cell disease (SCD). Voxelotor (Oxbryta®) is a sickle hemoglobin-polymerization inhibitor approved by the FDA in November 2019 for treatment of SCD in adults and adolescents aged ≥12 years under an accelerated approval based on results of the pivotal HOPE study. In HOPE, voxelotor increased average hemoglobin (Hb) by 1.1 g/dL from baseline in patients with 1-10 vaso-occlusive crises (VOCs) in the previous year and a Hb level between 5.5 and 10.5 g/dL who were not transfusion dependent. Of the participants on voxelotor 1500 mg, 51% had a Hb response >1.0 g/dL at week 24 (Vichinsky et al, NEJM 2019). This study sought to assess the real-world effectiveness of voxelotor based on data during the first 6 months post FDA approval. Methods: Data on medical and pharmacy claims for patients who were aged ≥12 years and receiving voxelotor from December 2019 to May 2020 were obtained from the Symphony Health claims dataset. For each patient, the date of the first voxelotor claim was defined as the "index date." Patients with at least 1 year's data prior to the index date were included in the analyses. Patients' demographic and clinical characteristics were summarized descriptively. Standardized annualized rates of transfusions and VOCs per patient per year (PPPY) prior to and after voxelotor initiation were compared. A subset of patients in the Symphony Health claims dataset had Hb lab data available. Patients with at least 1 Hb result within 30 days prior to the index date and at least 1 Hb result after the index date were included for Hb analyses. For these patients, change in Hb and the percentage of patients achieving a >1 g/dL increase in Hb were summarized. Confidence intervals and P values for changes in outcomes were based on bootstrapping. Results: As of May 31, 2020, 1275 patients from the Symphony Health claims datasets were identified who received voxelotor (40% male, mean age 35.7 years). In the year prior to voxelotor initiation, 715 (56.1%) of these patients received hydroxyurea, 121 (9.5%) received L-glutamine, 166 (13.0%) received at least 1 transfusion, 17 (1.3%) were on chronic transfusion (≥8 transfusions per year), and 681 (53.4%) had 1 or more VOCs. Mean (SD) follow-up was 64.9 (40.7) days. Among 1275 patients, 175 and 52 patients had at least 1 Hb level measurement during the 1 year prior to and after voxelotor initiation, respectively. Among the subset of patients with their Hb level tested within 30 days prior to the index date and at least 1 Hb level after index date (n=22), the baseline average Hb level was 8.0 g/dL (SD 1.4, median 7.9 g/dL, range 5.0-11.8 g/dL). Mean increase in Hb from baseline was 1.1-1.3 g/dL (Table 1) depending on the approach used to calculate Hb levels after voxelotor initiation; 55% (95% CI 32%-77%) of patients achieved a Hb increase >1 g/dL after voxelotor initiation. Among all 1275 patients, mean (SD) overall transfusion rates declined from 0.45 (1.67) PPPY pre-index to 0.31 (1.88) post-index, a change of -0.14 PPPY (P=0.005). Among 169 patients who received at least 1 transfusion in the year prior to initiation of voxelotor, the transfusion rate dropped from 3.39 (3.34) to 1.75 (4.30) PPPY, a change of -1.64 PPPY (P<0.001). Among 17 patients receiving chronic transfusions, the transfusion rate dropped from 11.29 (3.12) to 6.74 (7.37) PPPY, a change of -4.56 PPPY (P=0.013) (Table 2). After voxelotor initiation, the annualized rates of VOC were numerically reduced from 3.86 (6.69) to 3.64 (8.54) (P=0.248). To address the potential bias from the relatively short follow-up duration, similar results of transfusion and VOC rates were observed among patients with at least 30 days of follow-up or when only events within 3 months prior to index date were considered. Conclusions: Based on the first 6 months' data after the approval of voxelotor in the US, in real-world practice, voxelotor increases Hb by at least 1 g/dL, consistent with the HOPE randomized controlled trial results. Evidence suggests that transfusion rates decreased after voxelotor initiation. A favorable downward trend in VOC rates was also observed. This real-world evidence provides additional support for the use of this novel therapy in the treatment of hemolytic anemia and its associated complications in the SCD population. Further evaluation with a larger sample size and longer follow-up will help to confirm these findings. Disclosures Zaidi: Global Blood Therapeutics: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Novartis: Consultancy, Honoraria; Cyclerion: Consultancy, Honoraria; Imara: Consultancy, Honoraria; bluebird bio: Consultancy, Honoraria; Emmaus Life Sciences: Consultancy, Honoraria. Alvarez:Novartis: Membership on an entity's Board of Directors or advisory committees; Forma Therapeutics: Membership on an entity's Board of Directors or advisory committees. Lonshteyn:Policy Analysis Inc.: Current Employment; Global Blood Therapeutics: Research Funding; Novartis: Research Funding. Weycker:Policy Analysis Inc.: Current Employment, Current equity holder in publicly-traded company; Novartis: Research Funding; Global Blood Therapeutics: Research Funding. Pham:Policy Analysis Inc.: Current Employment; Global Blood Therapeutics: Research Funding; Novartis: Research Funding. Delea:Global Blood Therapeutics: Research Funding; Novartis: Research Funding; Policy Analysis Inc.: Current Employment, Current equity holder in private company. Agodoa:Global Blood Therapeutics: Current Employment, Current equity holder in publicly-traded company. Cong:Global Blood Therapeutics: Current Employment, Current equity holder in publicly-traded company. Shah:Novartis: Consultancy, Research Funding, Speakers Bureau; Global Blood Therapeutics: Consultancy, Research Funding, Speakers Bureau; CSL Behring: Consultancy; Alexion: Speakers Bureau; Bluebird Bio: Consultancy.

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Efficacy of Front-Line Ibrutinib Versus Fludarabine, Cyclophosphamide and Rituximab (FCR) in Patients with CLL. a Multicenter "Real-World" Study

Blood ◽

10.1182/blood-2021-146848 ◽

2021 ◽

Vol 138 (Supplement 1) ◽

pp. 2641-2641

Author(s):

Yair Herishanu ◽

Shai Levi ◽

Neta Goldschmidt ◽

Fortunato Morabito ◽

Osnat Bairey ◽

...

Keyword(s):

Board Of Directors ◽

Real World ◽

Research Funding ◽

Cox Regression ◽

Phase Iii ◽

Front Line ◽

Advisory Committees ◽

Real World Setting ◽

Binet Stage

Abstract Introduction: In previously untreated patients with chronic lymphocytic leukemia (CLL), treatment with ibrutinib plus rituximab improved progression-free survival (PFS) and overall survival (OS) compared to the standard fludarabine, cyclophosphamide and rituximab (FCR) chemoimmunotherapeutic regimen, based on the results of the phase III ECOG-E1912 trial. The improvement in PFS with ibrutinib plus rituximab was observed in patients with unmutated immunoglobulin heavy chain variable region gene (IGHV) but not in those with an IGHV mutated profile. However, the efficacy of ibrutinib compared to FCR has not yet been investigated in the real-world setting. Methods: A multi-center retrospective "real-world" study to compare the efficacy of front-line ibrutinib monotherapy versus standard FCR in patients with CLL. Demographic and clinical data of the FCR cohort were retrieved from the Israeli CLL Study Group database and of the ibrutinib from the Italian multicenter "Campus CLL" network and the CLL database of the department of hematology at the Sourasky Medical Center. Patients with a documented del(17p) or those who are participating in clinical trials were excluded. In order to fit both treatment samples, the maximum follow-up was censored at 48 months. IBM SPSS Statistics was used to analyze PFS and OS by Kaplan Meier Estimator, Log-Rank test and Cox Regression. In order to control for differences in patients' characteristics, the inverse probability of treatment weighting (IPTW) method with stabilized weights and truncation of 5% extreme score was applied by R. Results: A total of 235 patients who had been front-line treated with either FCR (n=136, 57.9%) or ibrutinib (n=99, 42.1%) were included (Table 1). Most patients were males (n=160, 68.1%), had an unmutated IGHV status (n=115, 70.6%) and were Binet stage B/C (n=191, 83.8%). By FISH, the most frequent abnormality was del(11q) (n=45, 23.1%) followed by trisomy12 (n=34, 17.4%) and del(13q) (n=43, 22.1%). Median time to first treatment was 29.4 months (IQR, 11.9-56.2), and it was not significantly different between ibrutinib (median=24.9 months, IQR 10.3-46.6) and FCR (median=34.0 months, IQR 13.8-60.1; p=0.101). Patients treated with FCR were younger than those treated with ibrutinib (median=58.4 years vs. 71.9 years; p<0.001). The median follow-up for the entire cohort was 48.0 months (37.2 months and 48 months for ibrutinib and FCR, respectively). PFS was longer with ibrutinib than with FCR, with a 3-year rate of PFS of 89.7% vs. 65.8%, respectively (HR=3.5, 95% CI [1.8-6.9], p<0.001) (Figure 1). By subgroup analysis, the PFS benefit with ibrutinib over FCR was maintained in the subgroups of patients age >65 years (n=100, 3-year PFS 89.4% vs. 53.1%; HR=3.9, 95% CI [1.6-9.9], p=0.002), Binet stage B/C (3-year PFS: 90.5% vs. 67.8%; HR=3.5, 95% CI [1.7-7.5], p<0.001) and unmutated IGHV (3-year PFS: 83.0% vs. 78.0%; HR=5.8, 95% CI [2.4-14.5], p<0.001). Among mutated IGHV patients the PFS was not significantly different between ibrutinib and FCR (3-year PFS: 83.0% vs. 78.0%; HR=1.2, 95% CI [0.3, 4.5]; P=0.795). In multivariate analysis (Table 2), only FCR was an independent predictor of decreased PFS (HR=5.1, 95% CI [1.8, 14.3], p=0.002). OS was also better with ibrutinib than with FCR, with a 3-year OS of 96.8% vs. 87.5%, respectively (HR=3.52, 95% CI [1.04-11.92], p=0.031) (Figure 2). Using IPTW, both PFS and OS were still superior with ibrutinib compared to FCR (HR=0.2, 95% CI 0.1-0.5, p<0.001 and HR=0.2, 95% CI [0.1-0.7], p=0.008, respectively). Conclusions: In a real-world setting, front-line treatment with ibrutinib improves PFS and OS in patients with CLL. Similar to the results of the phase III ECOG-E1912 trial, the improvement in PFS was preferentially observed in patients with unmutated IGHV. Figure 1 Figure 1. Disclosures Herishanu: AbbVie: Honoraria, Research Funding; Janssen: Honoraria; Roche: Honoraria; Medison: Honoraria. Goldschmidt: AbbVie: Consultancy, Research Funding. Fineman: AbbVie: Research Funding. Mauro: Roche: Consultancy, Honoraria; Gilead: Consultancy, Honoraria; Abbvie: Consultancy, Honoraria, Speakers Bureau; Astra Zeneca: Consultancy, Honoraria, Speakers Bureau; Janssen: Consultancy, Honoraria, Speakers Bureau; Tskeda: Consultancy, Honoraria. Reda: Abbvie: Consultancy; Astra Zeneca: Consultancy; Beigene: Consultancy; Janssen: Consultancy. Ruchlemer: AbbVie: Consultancy, Honoraria, Research Funding. Sportoletti: AstraZeneca: Consultancy, Honoraria; Janssen: Consultancy, Honoraria; AbbVie: Consultancy, Honoraria. Laurenti: AstraZeneca: Consultancy, Honoraria; AbbVie: Consultancy, Honoraria, Research Funding; Gilead: Honoraria; Roche: Honoraria, Research Funding; Janssen: Consultancy, Honoraria; BeiGene: Honoraria. Shvidel: AbbVie: Honoraria, Research Funding. Coscia: Janssen: Honoraria, Other, Research Funding; Gilead: Honoraria; AbbVie: Honoraria, Other; AstraZeneca: Honoraria. Tadmor: Janssen: Consultancy, Honoraria, Research Funding; AbbVie: Consultancy, Honoraria, Research Funding. Varettoni: AstraZeneca: Membership on an entity's Board of Directors or advisory committees; beigene: Membership on an entity's Board of Directors or advisory committees; janssen: Membership on an entity's Board of Directors or advisory committees; roche: Membership on an entity's Board of Directors or advisory committees. Aviv: AbbVie: Honoraria, Research Funding. Murru: Abbvie: Consultancy, Honoraria, Other: travel and accommodation; Janssen: Consultancy, Honoraria. Rossi: Abbvie: Honoraria, Research Funding; Janssen: Honoraria, Research Funding; AstraZeneca: Honoraria, Research Funding; Gilead: Honoraria, Research Funding; Verastem: Honoraria, Research Funding; Roche: Honoraria, Research Funding; Cellestia: Honoraria, Research Funding. Gaidano: Incyte: Membership on an entity's Board of Directors or advisory committees; Beigene: Membership on an entity's Board of Directors or advisory committees; Astrazeneca: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Abbvie: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Janssen: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau. Cuneo: AbbVie: Consultancy, Speakers Bureau; Gilead: Consultancy, Speakers Bureau; AstraZeneca: Consultancy, Speakers Bureau; Janssen: Consultancy, Speakers Bureau. Gattei: abbVie: Research Funding; Janssen: Research Funding; Menarini: Research Funding.

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Economic Burden of Newly Diagnosed Acute Myeloid Leukemia: A Retrospective Study Using the SEER-Medicare Database

Blood ◽

10.1182/blood-2020-136768 ◽

2020 ◽

Vol 136 (Supplement 1) ◽

pp. 45-45

Author(s):

Ashley Tabah ◽

David Huggar ◽

Krystal Huey ◽

Ronda Copher ◽

Zheng-Yi Zhou ◽

...

Keyword(s):

Board Of Directors ◽

Economic Burden ◽

Research Funding ◽

Index Date ◽

Publicly Traded ◽

Advisory Committees ◽

Analysis Group ◽

Remission Period ◽

Medicare Database

Introduction: Acute myeloid leukemia (AML) poses significant economic burden on the healthcare system, particularly during induction therapy and at disease relapse. The burden associated with ongoing post-remission therapy is less clear. In patients diagnosed with AML enrolled in Medicare who received an induction therapy and achieved disease remission, we assessed the healthcare resource utilization (HCRU) and costs associated with each disease period (induction, early/late post-remission, and post-relapse). Methods: A retrospective analysis was conducted using the Surveillance, Epidemiology, and End Results (SEER)-Medicare database, comprising Medicare claims (parts A, B, and D from 2007 to 2016) and the US National Cancer Institute's SEER database (cancer diagnoses from 2007 to 2015). Identified patients had a diagnosis of AML in the SEER registry, were ≥ 65 years at the AML diagnosis date, initiated chemotherapy post-AML diagnosis (i.e. induction), and had an International Classification of Diseases, Ninth/Tenth Revision (ICD-9/10) diagnosis code for AML remission following the start of therapy. Patients were excluded if they had another blood malignancy, had received a prior hematopoietic stem cell transplant, or were enrolled in a clinical trial. Induction was defined as any therapy received from the date of first post-diagnosis chemotherapy initiation (index date) to the end of the cycle during which a patient had an ICD-9/10 code for AML remission. The 6 months prior to the index date was defined as the baseline period. Post-remission therapy was divided into an early post-remission period, which included any therapy initiated within the first 60 days (≤ 60 d) after end of induction, and a late post-remission period, which included therapy initiated more than 60 days (> 60 d) after end of induction. If specific treatment information was available, late post-remission therapy was defined by a treatment switch occurring > 60 d after end of induction. Post-remission therapy ended at the earliest of relapse or end of follow-up (i.e., death, end of eligibility, or end of available data [December 31, 2016]). The post-relapse period was from the date of first AML relapse ICD-9/10 code after remission to the end of follow-up. Baseline patient characteristics, as well as HCRU and costs (adjusted to 2019 US dollars) during the baseline, induction, post-remission, and post-relapse periods, were summarized descriptively. HCRU and costs associated with induction and post-remission therapy periods were assessed during days that were part of a treatment cycle. The average per patient per month (PPPM) HCRU and costs were reported. Duration of response (DoR) from the first remission to the earliest of relapse or death was estimated using Kaplan-Meier analysis. Results: A total of 530 patients were identified. The median age at AML diagnosis was 73 years, 53.6% of patients were male, and 80.6% were white. The median time from index date to the end of follow-up was 13.5 months. Most patients received therapy with hypomethylating agents during the AML treatment. A total of 31.9% of patients who achieved remission did not receive post-remission therapy during follow-up; for these patients, mean (median) time from end of induction to relapse or end of follow-up was 125 (23) days. A total of 63.2% of patients received chemotherapy in the early post-remission period, and 43.0% of all patients went on to receive chemotherapy in the late post-remission period. The median DoR was 5.8 months; a total of 48.9% of patients had relapsed and 80.2% had died by the end of follow-up. The mean PPPM healthcare costs were highest for induction, followed by post-relapse, early post-remission, and late post-remission periods (Table). Costs associated with the inpatient (IP) setting were the greatest contributor to PPPM costs across all periods. IP visits were most common during induction with 92.1% of patients having ≥ 1 IP visit, relative to 53.8% during baseline, 65.7% during early post-remission, 71.5% during late post-remission, and 91.1% post-relapse. Conclusions: The economic burden of relapse is approximately 1.2 and 1.6 times higher than the mean PPPM healthcare costs during early and late post-remission periods, respectively. There exists a large unmet need for therapies that will extend the duration of the post-remission period and reduce the overall economic burden of AML. Disclosures Tabah: Bristol Myers Squibb: Current Employment, Current equity holder in publicly-traded company. Huggar:Bristol Myers Squibb: Current Employment, Current equity holder in publicly-traded company; Karyopharm Therapeutics: Current equity holder in publicly-traded company; FibroGen: Current equity holder in publicly-traded company. Huey:Bristol Myers Squibb: Current Employment. Copher:Bristol Myers Squibb: Current Employment. Zhou:BMS: Other: Employee of Analysis Group Inc., which received consulting fees. Zichlin:BMS: Other: Employee of Analysis Group Inc., which received consulting fees. Koenigsberg:BMS: Other: Employee of Analysis Group Inc., which received consulting fees. Brunner:Novartis: Research Funding; Celgene: Membership on an entity's Board of Directors or advisory committees, Research Funding; Takeda: Research Funding; AstraZeneca: Research Funding; Forty-Seven Inc: Membership on an entity's Board of Directors or advisory committees; Jazz Pharmaceuticals: Membership on an entity's Board of Directors or advisory committees.

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Optimal Sequencing of Ibrutinib, Idelalisib, and Venetoclax in CLL: Results from a Large Multi-Center Study of 683 US-Patients

Blood ◽

10.1182/blood.v128.22.4400.4400 ◽

2016 ◽

Vol 128 (22) ◽

pp. 4400-4400 ◽

Cited By ~ 2

Author(s):

Anthony R. Mato ◽

Brian T. Hill ◽

Nicole Lamanna ◽

Paul Barr ◽

Chaitra S. Ujjani ◽

...

Keyword(s):

Board Of Directors ◽

Research Funding ◽

Cox Regression ◽

Novel Agents ◽

Advisory Committees ◽

Genetics Research ◽

Optimal Sequencing ◽

First Choice ◽

Lr Test

Abstract Introduction: Ibrutinib (Ibr), idelalisib (Ide), andvenetoclax (Ven), are all now approved for treating CLL patients in the US. However, in the absence of head-to-head comparator trials, there is limited guidance as to the optimal sequence of these therapies and to the best choice upon failure of first selected agent. To address these gaps in current literature, 9 large US cancer centers and the Connect CLL Registry collaborated to capture the experience of 683 CLLpts treated with kinase inhibitors (KIs) - focusing on optimal sequencing and patterns of failure. Patients and Methods: We conducted a multicenter, retrospective analysis of CLLpts treated withIbr-, Ide- orVen-based therapy. We examined demographics, discontinuation rates, reasons for discontinuation, overall response rates (ORR), survival, and post kinase inhibitor (KI) salvage strategies. Primary endpoint was progression-free survival (PFS) (time from KI treatment to progression, death, or last follow-up) as determined by the Kaplan Meier (KM) method. Comparisons were made using the log rank (LR) test and COX regression analyses. Results: A total of 683 pts treated with KI therapy (Ibr=621/Ide=62) were identified (Table 1). Baseline characteristics were similar in theIbr and Ide-based groups. ORR toIbr as first KI was 69% [complete response (CR) 11%, partial response (PR) 45%, and PR-L 13%] and Ide was 81% (CR 5%, PR 71%,PR-L 5%). With a median follow-up from start of first KI of 17 months (range 1-60), median PFS and OS for the entire cohort from first KI was 35 months (216 events) and not reached respectively (107 events). Interestingly,pts treated withIbr (vs. Ide) as first KI had a significantly better PFS in all settings; front-line (figure a, HR 2.8, CI 1.3-6.3 p=.01), relapsed-refractory (figure b, HR 2.8, CI 1.9-4.1 p<.001), clinical trials (HR 3.3, CI 1.8-5.9 p<.001), commercial use (HR 2.5, CI 1.5-4.0 p<.001), del17p (HR 2.0, CI 1.2-3.4 p=.008), or complex karyotype (HR 2.5, CI 1.2-5.2 p=.02). Moreover, at the time of initial KI failure, the use of either an alternate KI orVen was associated with superior PFS as compared tochemoimmunotherapy (CIT) combinations (figure c). When treated with an alternate KI (Ibr followed by Ide or Ide followed byIbr),pts intolerant of a KI therapy due to toxicity had a superior PFS compared with those taken off a KI therapy due to CLL progression (p=0.03, LR test). Furthermore,Ibr-failurepts had a marginally better PFS if treated withVen (ORR 79%) vs. Ide (ORR 46%) (figure d, HR .6, CI.3-1.0 p=.06). Conclusions: In the largest experience of novel agents published to date in CLL,Ibr appears superior to Ide in all settings as first choice KI. Further, in the setting of KI failure, an alternate KI orVen therapy appear superior to CIT combinations. Alternate KI appear particularly effective in the setting of intolerance to a prior KI. The use ofVen uponIbr failure might be superior to the use of Ide. These data provide guidance for sequencing of novel agents and support the need for trials directly comparing novel agents and sequencing strategies in CLL. Table 1 Table 1. Figure Figure. Disclosures Mato: Abbvie, Gilead Sciences, Pharmacyclics, TG Therapeutics: Consultancy; Abbvie, Acerta Pharma, Gilead Sciences, ProNAi, TG Therapeutics, Theradex: Research Funding. Lamanna:Roche-Genentech: Honoraria, Research Funding; Celgene: Honoraria; Janssen: Honoraria; Pharmacyclics: Honoraria, Research Funding; AbbVie: Honoraria, Research Funding; Gilead: Honoraria, Research Funding; Infinity: Research Funding; Acerta: Research Funding; TGR Therapeutics: Research Funding. Barr:Pharmacyclics, LLC, an AbbVie Company: Consultancy, Research Funding; AbbVie: Consultancy. Ujjani:Genentech: Consultancy; Abbvie: Consultancy; Gilead: Consultancy; Pharmacyclics: Consultancy. Brander:Gilead: Honoraria; TG Therapeutics: Research Funding. Cheson:Acerta: Membership on an entity's Board of Directors or advisory committees, Research Funding; Gilead: Research Funding; Pharmacyclics: Membership on an entity's Board of Directors or advisory committees, Research Funding. Kiselev:Celgene: Employment, Equity Ownership. Svoboda:Seattle Genetics: Research Funding; Pharmacyclics: Research Funding; Celgene: Research Funding. Schuster:Genentech: Consultancy, Honoraria; Gilead: Research Funding; Pharmacyclics: Consultancy, Research Funding; Celgene: Consultancy, Honoraria, Research Funding; Hoffman-LaRoche: Research Funding; Nordic Nanovector: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Merck: Research Funding; Novartis: Consultancy, Honoraria, Research Funding; Janssen Research & Development: Research Funding. Nabhan:Celgene Corporation: Consultancy, Research Funding; Genentech: Consultancy, Research Funding; Abbvie: Consultancy; Infinity: Consultancy; Cardinal Health: Consultancy; Seattle Genetics: Research Funding; Astellas: Research Funding.

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Comparable Outcomes between Unrelated Donor (8/8 or 7/8 matched) and Haploidentical Donor for Allogeneic Stem Cell Transplantation in Adult Patients with Severe Aplastic Anemia

Blood ◽

10.1182/blood-2019-130419 ◽

2019 ◽

Vol 134 (Supplement_1) ◽

pp. 4619-4619

Author(s):

Jee Yon Shin ◽

Sung-Soo Park ◽

Gi June Min ◽

Silvia Park ◽

Sung-Eun Lee ◽

...

Keyword(s):

Board Of Directors ◽

Research Funding ◽

Acute Gvhd ◽

Chronic Gvhd ◽

Advisory Committees ◽

Sibling Donor ◽

Alternative Donor ◽

Matched Sibling ◽

Grade Ii

Background Either allogeneic hematopoietic stem cell transplantation (SCT) from HLA-matched sibling donor or immunosuppressive therapy (IST) has been recommended as one of the standard treatments for severe aplastic anemia (SAA). Regarding only 30% of chance finding HLA‐matched sibling donor, SCT from an alternative donor including unrelated (URD) or haplo-identical related donor (HAPLO) is considered to be a treatment option after failure to IST in patients who lack of a HLA-matched sibling donor. The aim of this study was to compare the outcomes of URD SCT and HAPLO SCT for SAA patients. Method Consecutive 152 adult patients with SAA who received first SCT between March 2002 and May 2018 were included: 73 of HLA-well-matched (8/8) URD (WM-URD), 34 of HLA-mismatched URD (MM-URD), and 45 of HAPLO. With the intention to have a follow-up period at least 1 year, data were analyzed at May 2019. A conditioning regimen with total body irradiation (TBI) and cyclophosphamide was used for URD-SCT, whereas that with TBI and fludarabine was administered for HAPLO-SCT (Lee et al, BBMT 2011;17:101, Park et al, BBMT 2017;23:1498, Lee et al, Am J Hematol 2018;93:1368). The combination of tacrolimus and methotrexate were used as graft-versus-host disease (GVHD) prophylaxis. Results The median follow-up was 53.4 (range, 0.2-174.1) months. The median age of URD and HAPLO cohort was 30 (range 18-59) and 34 (range 18-59) years, respectively. Except for one and three patients who failed respective a neutrophil and platelet engraftment, other patients achieved neutrophil and platelet engraftments with median 11 and 15 days for WM-URD, 13 and 16.5 days for MM-URD, and 12 and 14 days for HAPLO, respectively. The five-years overall survival (OS), failure-free survival (FFS), and cumulative incidences (CIs) of graft-failure and transplant-related mortality were similar among three groups: 88.3%, 85.5%, 2.7%, and 11.7% for WM-URD; 81.7%, 81.7%, 0%, and 18.3% for MM-URD, and 86.3%, 84.1%, 6.7%, and 9.2% for HAPLO. The 180-days CI of grade II-IV acute GVHD in WM-URD, MM-URD and HAPLO were 35.6%, 52.9%, and 28.9%, respectively; and moderate to severe chronic GVHD were 28.7%, 38.7% and 11.8% in respective cohort. The CI of grade II-IV acute GVHD and moderate to severe chronic GVHD were significantly higher in MM-URD than those in HAPLO (both, p=0.026). ATG is the only factor affecting both grade II-IV acute GVHD (Hazard ratio 0.511, p=0.01) and moderate to severe chronic GVHD (Hazard ratio 0.378, p=0.003) in multivariate analysis. Other complications including CMV DNAemia, hemorrhagic cystitis, invasive fungal disease, secondary malignancy, and sinusoidal obstruction syndrome were similar among three groups. Survival outcomes of a subgroup of ≥ 2 allele MM-URD (n=16) extracted form MM-URD were inferior that of other donor types (n=136): 75.0% vs. 86.9% (p=0.163) for 5-year OS and 75.0% vs. 84.7% (p=0.272) for 5-year FFS. Conclusion This study shows that there were no significant differences between alternative donor sources in the absence of suitable matched sibling donor. Host/donor features and urgency of transplant should drive physician towards the best choice among alternative donor sources for SAA patients treated with SCT. However, selection of ≥ 2 allele MM-URD should not be recommended due to high incidence of GVHD and inferior outcomes. Figure Disclosures Kim: Celgene: Consultancy, Honoraria; Astellas: Consultancy, Honoraria; Hanmi: Consultancy, Honoraria; AGP: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; SL VaxiGen: Consultancy, Honoraria; Novartis: Consultancy; Amgen: Honoraria; Chugai: Honoraria; Yuhan: Honoraria; Sanofi-Genzyme: Honoraria, Research Funding; Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees; Handok: Honoraria; Janssen: Honoraria; Daiichi Sankyo: Honoraria, Membership on an entity's Board of Directors or advisory committees; BL & H: Research Funding; Otsuka: Honoraria. Lee:Alexion: Consultancy, Honoraria, Research Funding; Achillion: Research Funding.

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