Clinical Utility and Physician Perceptions of a Digital Platform for Electronic Patient-Reported Outcomes Monitoring in Patients with Hematologic Malignancies in Real-World Practice

Abstract Background There is now great interest in using digital health tools to monitor patients' health status in real-world practice. Such tools often include electronic-patient-reported outcome (ePRO) systems in which symptoms questions are included into online interfaces for patient self-reporting, with real-time alerts triggered to the treating physician if severe symptoms or problems are reported. However, there is little information about the clinical utility and user perceptions of these systems, and this is particularly true in the area of hematology. Objectives This study investigates physicians' perceptions of usability and clinical utility of using remote ePROs in routine practice of patients with hematologic malignancies and explored implications in the delivery of patient care. Patients and Methods Remote ePROs are being gathered since December 2020 by the ALLIANCE Digital Health Platform, whose details of the development process have been previously described (Efficace F. et al., JMIR Res Protoc. 2021 Jun 1;10:e25271). Adult patients diagnosed with any hematologic malignancy are eligible to enter the platform, after having provided written informed consent. Aspects related to health-related quality of life (HRQoL), symptoms and medication adherence are assessed via validated PRO measures. The platform allows for real-time graphical presentation to physicians of individual patient symptoms and HRQoL outcomes. Based on a pre-defined algorithm, which includes the presence of clinically important problems and symptoms, the platform triggers automated alerts to the treating haematologists and medical staff. The definition of clinically important problems and symptoms is based on previously defined evidence-based thresholds (Giesinger J. et al., J Clin Epidemiol. 2020 Feb;118:1-8). We asked treating haematologists a feedback about their experience in using the platform, by an ad hoc web-survey consisting of 27 items covering several domains, including: usability and benefits, current use, evaluation of patient health-status, symptoms and adverse events, as well as physician-patient communication. We summarized characteristics of enrolled patients and treating haematologists by proportions, mean, median and range. We also used logistic regression analysis to check the possible association of characteristics of haematologists with survey results. Results Of the 201 patients invited to participate between December 2020 and June 2021 (cut-off date for current analysis), 180 (90%) accepted to enter the ALLIANCE platform, currently activated in 19 centers. The median age of patients was 57 years (range 21-91) and 58% were males. The majority were diagnosed with chronic myeloid leukemia (n=32, 18%) and multiple myeloma (n=31, 17%) and were in stable disease (n=89, 49%). Twenty-three hematologists (44% males) with a median age of 42 years (range 31-63) and an average 17 years (range 5-34) of experience in clinical practice, completed the survey. The majority of physicians (78%) accessed the platform at least once per month (of whom 39% at least once per week), regardless the alerts sent by the system about patients' clinically relevant problems. The frequency of access on a regular basis was also independent of physician sex (p=0.393) and years of experience in clinical practice (p=0.404). Overall, 57% of hematologists discussed often or very often ePROs with their patients, while 83% and 61% deemed this information helpful to better identify symptomatic adverse events (AEs) of grade 1-2 or of grade 3-4, respectively (see figure). Also, 87% and 91% of hematologists found ePROs useful to improve physician-patient communication and the accuracy of documentation of symptomatic AEs (regardless of severity), respectively. Physicians' responses to selected items of the survey are reported in the figure. Conclusions: Current findings support the clinical utility, from the perspective of the treating physician, of integrating ePROs into routine cancer care of patients with hematologic malignancies. Figure 1 Figure 1. Disclosures Efficace: Takeda: Consultancy; Janssen: Consultancy; Abbvie: Consultancy, Other: Grants (to Institution); Amgen: Consultancy, Other: Grants (to Institution). Breccia: Bristol Myers Squibb/Celgene: Honoraria; Pfizer: Honoraria; Abbvie: Honoraria; Incyte: Honoraria; Novartis: Honoraria. Fazio: Janseen: Honoraria. Petrucci: Karyopharm: Honoraria, Other: Advisory Board; GSK: Honoraria, Other: Advisory Board; Amgen: Honoraria, Other: Advisory Board; Takeda: Honoraria, Other: Advisory Board; BMS: Honoraria, Other: Advisory Board; Janssen-Cilag: Honoraria, Other: Advisory Board; Celgene: Honoraria, Other: Advisory Board. Rigacci: Merck: Membership on an entity's Board of Directors or advisory committees; Abbvie: Membership on an entity's Board of Directors or advisory committees; Janssen: Membership on an entity's Board of Directors or advisory committees; Takeda: Membership on an entity's Board of Directors or advisory committees, Other: Travel, Accomodations, Expenses; Gilead Science: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Roche: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Menarini: Membership on an entity's Board of Directors or advisory committees; Celgene: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau. Tafuri: Roche: Research Funding; Celgene: Research Funding; Novartis: Research Funding. Siragusa: Novartis, CSL, Behring, Amgen, Novonoridsk, SOBI, Bayer: Consultancy, Honoraria, Speakers Bureau. Patriarca: Incyte: Honoraria; Takeda: Honoraria; Novartis: Honoraria; Amgen: Honoraria; Pfizer: Honoraria; Argenix: Honoraria. Luppi: Abbvie: Honoraria; Novartis: Honoraria; Sanofi: Honoraria; MSD: Honoraria; Gilead Science: Honoraria, Other: Travel grant; Daiichi-Sankyo: Honoraria; Jazz Pharma: Honoraria. Vignetti: Novartis: Honoraria; Incyte: Honoraria; Amgen: Consultancy, Honoraria.

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Digital Life Coaching for Myeloma Patients Undergoing Transplantation

Blood ◽

10.1182/blood-2020-134163 ◽

2020 ◽

Vol 136 (Supplement 1) ◽

pp. 2-3

Author(s):

Rahul Banerjee ◽

Ann Lazar ◽

Lisa Dunn ◽

Jennifer Knoche ◽

Kelly Jean Brassil ◽

...

Keyword(s):

Pilot Study ◽

Board Of Directors ◽

Research Funding ◽

Sleep Disturbances ◽

Digital Health ◽

Mobile App ◽

Life Coaching ◽

Advisory Committees ◽

Patient Reported ◽

Life Coaches

BACKGROUND: Patients undergoing autologous stem cell transplantation (ASCT) for multiple myeloma (MM) face sudden exacerbations of anxiety, insomnia, and other symptoms within the initial weeks following ASCT. Even as these symptoms abate in subsequent months, long-term consequences include post-traumatic stress disorder (Griffith 2020), quality of life (QOL) impairments (El-Jawahri 2016), and chronic reliance on higher-risk medications such as benzodiazepines (Banerjee 2020). These findings are particularly relevant to MM patients given their older age at diagnosis, longer expected post-ASCT survival, and poorer QOL at baseline compared with other cancer patients (Kent 2015). Compared to other integrative interventions in the peri-ASCT setting, life coaching transcends a symptomatic focus while directly addressing the root determinants of impaired QOL. Life coaches work with patients using structured frameworks (Figure 1A) to provide longitudinal support, education, and accountability to meet patient-identified wellness goals. Digital life coaching (DLC) combines the strengths of life coaching with the capabilities of digital health by channeling patient-coach communication through patients' personal phones. Compared to in-person coaching, DLC is location-agnostic and allows patients to work their coaches more conveniently and frequently. DLC is feasible among ASCT survivors (Chen 2016) but has not yet been studied in the active peri-ASCT setting. We are conducting a pilot study of a 16-week DLC subscription to assess its feasibility and effects on QOL during an intensive period spanning from pre-ASCT hospitalization through Day +100 after ASCT. If successful, we plan to then pursue a randomized Phase II study comparing DLC versus usual care in the peri-ASCT setting. METHODS: Our study is registered at clinicaltrials.gov as NCT04432818. We plan to enroll 27 adult patients with MM undergoing first ASCT at our institution. Inclusion criteria include English language proficiency and ownership of a personal cellphone. Notably, neither ownership of a smartphone nor installation of a specific mobile app is required for patient enrollment. Enrolled patients will receive unlimited access to a certified life coach beginning at Day -5 before ASCT; bidirectional communication is encouraged via phone, text, or email. The life coaches will reach out at least once per week to help patients accomplish self-identified goals such as symptom management, stress reduction, and physical activity. Our study's primary endpoint is ongoing patient engagement, defined as least one patient-initiated outreach to their coach during each of four 4-week study subperiods. Our study's secondary endpoints include patient-reported outcome (PRO) assessments of QOL, distress, and sleep disturbances (to be collected using electronic surveys every 1-2 weeks as shown in Figure 1B). Exploratory endpoints include benzodiazepine usage and rates of electronic/phone communication with patients' treatment teams. We will analyze endpoints using descriptive methods, including stratification of secondary & exploratory endpoints by DLC usage and specific 4-week study subperiod. PROGRESS TO DATE: Of 18 approached patients as of the data cutoff (8/1/20), 15 (83%) have expressed interest. Reasons for non-enrollment include skepticism about the value of interactions with coaches who do not themselves have MM. Of the 15 patients who have expressed interest in the study, the median age is 65 (range: 50-81) and all but one patient report owning a personal smartphone. All 6 patients with finalized ASCT hospitalization dates have been enrolled and paired with life coaches. Adherence to weekly electronic PRO assessments has been 100% (n = 9 timepoints) to date, consistent with previous studies (Wood 2013). CONCLUSIONS: Our pilot study is ongoing. Our findings to date suggest that certain MM patients are phone-savvy and would be interested in digital health tools, which will continue to gain prominence in light of the ongoing COVID-19 pandemic. Strengths of DLC include its scalability across institutional lines and its ability to reach patients at home in an integrative manner. Results of this study will inform innovative approaches to support the wellbeing of patients with hematologic malignancies, both in the peri-transplantation setting and beyond. Disclosures Brassil: Pack Health: Current Employment. Patel:Pack Health: Current Employment. Jackson:Pack Health: Current Employment. Wong:Janssen: Research Funding; Roche: Research Funding; Amgen: Consultancy; Sanofi: Membership on an entity's Board of Directors or advisory committees; GSK: Research Funding; Bristol Myers Squibb: Research Funding; Fortis: Research Funding. Wolf:Adaptive: Consultancy, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau. Martin:Seattle Genetics: Research Funding; AMGEN: Research Funding; GSK: Consultancy; Sanofi: Research Funding; Janssen: Research Funding. Shah:BMS, Janssen, Bluebird Bio, Sutro Biopharma, Teneobio, Poseida, Nektar: Research Funding; GSK, Amgen, Indapta Therapeutics, Sanofi, BMS, CareDx, Kite, Karyopharm: Consultancy.

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Patient-Reported Outcome Results from the U.S. Life after Stopping TKIs (LAST) Study in Patients with Chronic Myeloid Leukemia

Blood ◽

10.1182/blood-2019-126002 ◽

2019 ◽

Vol 134 (Supplement_1) ◽

pp. 705-705 ◽

Cited By ~ 1

Author(s):

Kathryn E Flynn ◽

Kevin P. Weinfurt ◽

Li Lin ◽

Jerald P. Radich ◽

Charles A. Schiffer ◽

...

Keyword(s):

Chronic Myeloid Leukemia ◽

Sleep Disturbance ◽

Board Of Directors ◽

Withdrawal Syndrome ◽

Myeloid Leukemia ◽

Research Funding ◽

Advisory Board ◽

Advisory Committees ◽

Patient Reported ◽

Tki Discontinuation

Background: Treatment of chronic myeloid leukemia (CML) with a tyrosine kinase inhibitor (TKI) offers significant improvements over previous treatments in terms of survival and toxicity yet has been associated with reduced health-related quality of life and very high cost. Discontinuing TKIs with regular monitoring is safe, but little is known about the impact of discontinuation on patient-reported outcomes (PROs). In the largest U.S. study to date, we evaluated molecular recurrence of CML and PROs after TKI discontinuation. Methods: The Life After Stopping TKIs (LAST) study was a prospective single-group longitudinal study. Key inclusion criteria were age > 18 years, patient on TKI therapy (imatinib, dasatinib, nilotinib, or bosutinib) for > 3 years with documented BCR-ABL < 0.01% by PCR for > 2 years, and no previous TKI resistance. We monitored disease outcome (PCRs by central lab) and PROs (PROMIS computerized adaptive tests via REDCap) monthly for the first 6 months, every 2 months until 24 months, then every 3 months until 36 months. Molecular recurrence was defined as > 0.1% BCR-ABL IS by central lab (loss of major molecular response [MMR]). We considered 3 points to be clinically meaningful and hypothesized that by 6 months after TKI discontinuation, fatigue, depression, sleep disturbance, and diarrhea would improve by at least 3 points each, corresponding to a standardized effect size of 0.3. Given reports of a withdrawal syndrome of musculoskeletal pain in some patients after discontinuation, pain was an additional outcome of particular interest. For each PRO domain, we estimated a polynomial piecewise linear mixed effects model that specified one nonlinear trajectory after TKI discontinuation and, for those with molecular recurrence, another trajectory after TKI restart. The models included patient-level random effects for the intercepts and linear slopes. Results: From 12/2014 to 12/2016, 172 patients enrolled from 14 U.S. sites. Median age was 60 years (range 21-86) and 89 (52%) were female. The median time on TKI prior to enrollment was 81 months (IQR 54-123). With a minimum follow-up of 24 months, 107 (62%) patients remained in a treatment free remission (TFR). Reasons for restarting therapy were: loss of MMR by central (n=56) or local (n=2) lab, patient decision (n=4), and withdrawal syndrome (n=3). Missing PRO data was minimal (< 5%) with > 2000 assessments completed. For patients in TFR at 6 months, the average estimated improvement in fatigue was 2.6 points (95% CI 2.5-2.7), depression was 1.9 points (95% CI 1.8-1.9), sleep disturbance was 0.9 points (95% CI 0.8-1.0), and diarrhea was 2.7 points (95% CI 2.6-2.7). The average estimated worsening in pain interference (i.e., the extent to which pain affects daily life) was 0.4 points (95% CI 0.3-0.5). The figure shows the distribution of estimated change for each domain at 6 months. All patients showed improvements in depression, diarrhea, and fatigue. About 1 in 6 patients (17%) experienced a clinically meaningful (i.e., at least 3 points) improvement in fatigue and/or diarrhea at 6 months. Conclusion: The LAST study is the largest US TKI discontinuation study to date, and the first to include comprehensive PRO measurement. For patients in TFR at 6 months, TKI discontinuation conferred modest benefits in fatigue and diarrhea on average, with a negligible increase in pain interference. Some patients experienced more notable improvements in fatigue and diarrhea. Planned secondary analyses will include change over time up to 3 years and evaluation of additional PRO domains, including anxiety, physical function, social function, and sexual function. Our results provide important new evidence to support shared patient-provider clinical decision making regarding TKI discontinuation for patients with CML. Figure. Disclosures Radich: Novartis: Other: RNA Sequencing; TwinStrand Biosciences: Research Funding. Mauro:Pfizer: Consultancy; Takeda: Consultancy; Novartis Oncology: Consultancy, Research Funding; Bristol-Myers Squibb: Consultancy. Pinilla Ibarz:Sanofi: Speakers Bureau; Abbvie: Consultancy, Speakers Bureau; Teva: Consultancy; Janssen: Consultancy, Speakers Bureau; Novartis: Consultancy; Takeda: Consultancy, Speakers Bureau; Bayer: Speakers Bureau; TG Therapeutics: Consultancy; Bristol-Myers Squibb: Consultancy. Larson:Celgene: Consultancy; Novartis: Honoraria, Other: Contracts for clinical trials; Agios: Consultancy. Oehler:Blueprint Medicines: Consultancy; NCCN: Consultancy; Pfizer Inc.: Research Funding. Deininger:Humana: Honoraria; Incyte: Honoraria; Blueprint: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Pfizer: Consultancy, Honoraria, Research Funding; Ascentage Pharma: Consultancy, Honoraria; TRM: Consultancy; Sangoma: Consultancy; Fusion Pharma: Consultancy; Adelphi: Consultancy; Takeda: Honoraria, Membership on an entity's Board of Directors or advisory committees; Novartis: Honoraria; Sangamo: Consultancy. Shah:Bristol-Myers Squibb: Research Funding. Ritchie:Tolero: Other: Advisory board; Celgene: Other: Advisory board; Celgene, Novartis: Other: travel support; Jazz Pharmaceuticals: Research Funding; Celgene, Incyte, Novartis, Pfizer: Consultancy; AStella, Bristol-Myers Squibb, Novartis, NS Pharma, Pfizer: Research Funding; Ariad, Celgene, Incyte, Novartis: Speakers Bureau; Genentech: Other: Advisory board; Pfizer: Other: Advisory board, travel support; agios: Other: Advisory board. Silver:PharmEssentia: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees. Cortes:Sun Pharma: Research Funding; Pfizer: Consultancy, Honoraria, Research Funding; Forma Therapeutics: Consultancy, Honoraria, Research Funding; BiolineRx: Consultancy; Bristol-Myers Squibb: Consultancy, Research Funding; Takeda: Consultancy, Research Funding; Novartis: Consultancy, Honoraria, Research Funding; Daiichi Sankyo: Consultancy, Honoraria, Research Funding; Jazz Pharmaceuticals: Consultancy, Research Funding; Biopath Holdings: Consultancy, Honoraria; Immunogen: Consultancy, Honoraria, Research Funding; Merus: Consultancy, Honoraria, Research Funding; Astellas Pharma: Consultancy, Honoraria, Research Funding. Atallah:Jazz: Consultancy; Helsinn: Consultancy; Pfizer: Consultancy; Takeda: Consultancy, Research Funding; Jazz: Consultancy; Helsinn: Consultancy; Novartis: Consultancy.

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A Novel Methodology for Building Longitudinal, Patient-Centric Real World Datasets in Hemophilia A

Blood ◽

10.1182/blood-2021-146160 ◽

2021 ◽

Vol 138 (Supplement 1) ◽

pp. 594-594

Author(s):

Mark W Skinner ◽

Gillian Hanson ◽

Tao Xu ◽

Richard Ofori-Asenso ◽

Richard H. Ko ◽

...

Keyword(s):

Board Of Directors ◽

Real World ◽

Stock Options ◽

Research Funding ◽

Hemophilia A ◽

Advisory Board ◽

Real World Data ◽

Advisory Committees ◽

Patient Reported ◽

Privately Held

Abstract Background: There are limited real-world data (RWD) available on the unmet needs of people with mild or moderate hemophilia A (PwHA). This population accounts for 40-52% of all PwHA, including nearly all women with hemophilia A (HA), and is under-represented in scientific literature (Michele, et al. Haemophilia 2014; Benson, et al. Blood Transfus 2018; Peyvandi, et al. Haemophilia 2019). Available claims data from payer databases are confined to billing codes, and lack key information on outcomes and disease characterization (e.g. severity, treatment response.) (Tyree, et al. Am J Med Qual 2006). Registry datasets can require resource-intensive data entry and potentially miss key information about care received at outside facilities, at home, or after patients switch providers (Gliklich, et al. Registries for Evaluating Patient Outcomes: A User's Guide. 2014). To address these data gaps, we developed a novel, patient-centered approach to create a longitudinal healthcare database from individuals with mild and moderate HA in the United States. This study assessed the feasibility of this approach, which integrates medical record data collected during routine clinical care along with patient-reported outcomes (PROs) to provide needed insights into this under-represented population. Methods: Recruitment began in June 2020 via a broad strategy of social media outreach, healthcare provider partnerships, and patient advocacy groups. Eligibility was confined to mild or moderate PwHA, confirmed via physician report within provider notes in combination with baseline factor VIII levels (>5-50% mild, 1-5% moderate.) This study received research ethics board approval and abides by the guiding principles of the Declaration of Helsinki. PwHA enrolled via an online record management platform, PicnicHealth. After signing authorization forms for collection of their electronic health records (EHR) and informed consent to share their de-identified data for research, participants were prompted to enter information on their care providers. Records were gathered from all providers, across any facility, retrospectively as records were available. (Figure 1) All records obtained were made available to the participants via a medical timeline. Records were translated to text via optical character recognition with human review. Data elements from structured text as well as disease-specific elements from narrative text were captured using natural language processing and supervised machine learning. All elements, including visit metadata, conditions, measurements, drugs, and procedures were mapped to standardized medical ontologies and reviewed by a team of nurses. (Table 1) Quality control was assessed via inter-abstractor agreement on outputs with physician review. Patient-reported bleed, treatment, and pain data were collected via online questionnaire for a subset of PwHA, with participants prompted to enter data every 2 weeks. Abstracted EHR data was linked to PRO responses in a de-identified dataset. Cohort and abstraction characteristics were summarized descriptively. Results: From June 1, 2020 to June 30, 2021, 104 PwHA met eligibility criteria for enrollment (65 [62.5%] mild; 39 [37.5%] moderate). Participants saw providers across 34 states in the US, 22.1% (23/104) were female, and 20.6% (14/68) of those with known race/ethnicity status were from minority groups. Records were gathered from a median of six care sites and 16 providers per participant. A median of 50 (IQR [21-93]) clinical documents from 11 years were processed for each PwHA. (Table 2) Inter-abstractor agreement to assess abstraction quality averaged 95.9% for condition, 99.5% for drug name, and 95.4% for drug start date. As of June 2021, the average PRO response rate was 90.3% (150/166 of all requests) and continues prospectively. Conclusions: The patient-centric data collection methods implemented in this study provide a novel approach to build longitudinal real-world data sets. Technology-enabled data abstraction showed consistent high quality when processing the heterogeneous clinical records across disparate providers and care sites, and direct engagement with patients complements potential gaps in the clinical record. Additionally, this approach provides needed data on groups under-represented in RWD and traditional PwHA cohorts, including those with mild and moderate disease and women with HA. Figure 1 Figure 1. Disclosures Skinner: ICER: Membership on an entity's Board of Directors or advisory committees; Spark (DMC): Honoraria; Sanofi: Honoraria; F. Hoffmann-La Roche Ltd/Genentech, Inc.: Honoraria; Pfizer (DMC): Honoraria; Bayer: Honoraria, Membership on an entity's Board of Directors or advisory committees; uniQure: Research Funding; Takeda: Honoraria, Research Funding; F. Hoffmann-La Roche Ltd: Research Funding; Freeline: Research Funding; BioMarin: Honoraria, Research Funding; IPA Ltd.: Current holder of individual stocks in a privately-held company; National Hemophilia Foundation: Consultancy; Institute for Policy Advancement Ltd: Current Employment; WFH USA: Membership on an entity's Board of Directors or advisory committees; BCBS MAP: Membership on an entity's Board of Directors or advisory committees. Hanson: PicnicHealth: Current Employment, Current holder of stock options in a privately-held company. Xu: F. Hoffmann-La Roche AG: Current Employment. Ofori-Asenso: F. Hoffmann-La Roche Ltd: Current Employment. Ko: Genentech, Inc.: Current Employment; Genentech, Inc.-Roche: Current equity holder in publicly-traded company, Current holder of individual stocks in a privately-held company, Current holder of stock options in a privately-held company. Cibelli: PicnicHealth: Current Employment. Nissen: Novartis: Consultancy; Actelion: Consultancy; F. Hoffmann-La Roche Ltd: Current Employment, Current holder of stock options in a privately-held company. Witkop: Roche Advisory Panel: Consultancy; National Hemophilia Foundation: Current Employment. Sanabria: F. Hoffmann-La Roche Ltd: Current Employment, Current holder of individual stocks in a privately-held company. Shapiro: Novartis: Research Funding; Novo Nordisk: Other: Advisory board fees, Research Funding, Speakers Bureau; Octapharma: Research Funding; Pfizer: Research Funding; OPKO: Research Funding; Prometric BioTherapeutics: Research Funding; Sangamo: Other: Advisory board fees, Research Funding; Sigilon Therapeutics: Other: Advisory board fees, Research Funding; Takeda: Research Funding; Kedrion Biopharma: Research Funding; Glover Blood Therapeutics: Research Funding; Genentech: Other: Advisory board fees, Research Funding, Speakers Bureau; Daiichi Sankyo: Research Funding; Bioverativ (a Sanofi company): Other: Advisory board fees, Research Funding; BioMarin: Research Funding; Agios: Research Funding.

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Outcomes in Patients with Hematologic Malignancies Infected with Sars-Cov-2: The Northwestern University Experience

Blood ◽

10.1182/blood-2020-139495 ◽

2020 ◽

Vol 136 (Supplement 1) ◽

pp. 14-16

Author(s):

Carlos Galvez ◽

Imran Nizamuddin ◽

Emily Tuchman ◽

Peter Doukas ◽

Neha Reddy ◽

...

Keyword(s):

Hospital Admission ◽

Cancer Treatment ◽

Board Of Directors ◽

Research Funding ◽

Hematologic Malignancies ◽

Mortality Rates ◽

Advisory Board ◽

Advisory Committees ◽

Myeloid Neoplasms ◽

Active Cancer

Background: The rapid global spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), remains the international public health concern of the decade. Early clinical data suggest that patients (pts) with hematologic malignancies are vulnerable to severe forms of SARS-CoV-2 and have higher mortality rates than the general population. Greater understanding of risk factors and outcomes associated with SARS-CoV-2 in pts with hematologic malignancies is crucial in order to develop individualized risk-benefit analyses to guide care. Herein, we report a cohort study from a Comprehensive Cancer Center evaluating outcomes in pts with hematologic malignancies who developed SARS-CoV-2. Methods: Adult pts at Northwestern Memorial Hospital with a current/prior hematologic malignancy and laboratory-confirmed SARS-CoV-2 infection confirmed by quantitative RT-PCR from nasopharyngeal swabs between March-July, 2020 were identified using electronic health records. Data were collected and analyzed based on epidemiologic, laboratory, and clinical characteristics. Severity of illness was defined by level of care (ambulatory, inpatient), need for advanced respiratory support (high flow nasal cannula, BiPAP, mechanical ventilation), incidence of thrombotic events, incidence of acute kidney injury (AKI), and/or death. Statistical analyses of risk factors, severity, and outcomes were performed. Subgroup analyses based on antineoplastic treatment status and receipt of SARS-CoV-2 -directed therapy were made. Active cancer treatment was defined as antineoplastic therapy within 12 months of SARS-CoV-2 diagnosis. Results: Demographic (Table 1) and clinical (Table 2) data were recorded from 73 SARS-CoV-2 infected pts. Sixty (80%) pts had lymphoid and 15 (20%) had myeloid neoplasms, 2 with concurrent lymphoid and myeloid neoplasms. Thirty-seven (51%) pts were undergoing active treatment for their malignancy. Twenty-one pts (29%) were managed in the ambulatory setting while 52 (71%) required hospital admission. Twenty-five (34%) pts required advanced respiratory support including 14 (19%) who required mechanical ventilation. Four pts (6%) had thrombotic events and 31 (42%) received SARS-CoV-2-directed therapies. Sixteen pts (22%) died during the study period. Pts on active cancer treatment had higher rates of hospital admission (81% v 60%; p=0.05) and AKI (51% v 29%; p=0.04) but similar rates of death compared with pts not on active treatment (24% v 20%; p=0.66) (Table 3). Comparing pts who received SARS-CoV-2 -directed therapy versus no therapy: pts on therapy had longer median lengths of stay (11 v 7 days; p=0.04) and higher rates of hospital admission (94% v 55%; p=0.0003) but similar rates of death (23% v 21%; p=0.91); pts in the ICU on SARS-COV-2 -directed therapy had lower rates of death (38% v 88% p=0.02) than pts who did not receive such therapy (Table 4). Twenty-six pts (36%) were tested for viral clearance, defined as two serial negative swabs ≥24 hours apart. Of these, 17 (65%) achieved clearance with a median time of 51 days (range 15-119 days). Thirteen pts (18%) had antibody (Ab) testing. Ten (77%) had detectable Abs: 8 were positive for IgG, 1 for IgG and IgM, and 1 had unspecified positivity. Notably, all 3 pts with undetectable Abs were on active cancer treatment. Conclusion: We demonstrate that pts with hematologic malignancies are exceptionally vulnerable to severe forms of SARS-CoV-2 with high mortality rates. The incidence of thrombotic events was low, an unexpected finding in the setting of a hyperinflammatory syndrome. Prolonged time to viral clearance was observed, a finding which may cause potential delays in the resumption of cancer-directed therapies. Notably, the majority of pts who received antibody testing had detectable antibodies suggesting that pts with hematologic malignancies may be able to mount an immune response to early vaccination. Accordingly, close monitoring, aggressive therapy, and early vaccination, when available, may be warranted for this population. Larger studies are needed to confirm our findings and help guide management of pts with hematologic malignancies during the SARS-CoV-2 pandemic. Disclosures Altman: Bristol-Myers Squibb: Consultancy; Janssen: Consultancy; Immune Pharmaceuticals: Consultancy; Syros: Consultancy; Genentech: Research Funding; Novartis: Consultancy; Amphivena: Research Funding; Amgen: Research Funding; Aprea: Research Funding; ImmunoGen: Research Funding; Celgene: Research Funding; Boehringer Ingelheim: Research Funding; Fujifilm: Research Funding; Kartos: Research Funding; AbbVie: Other: advisory board, Research Funding; Kura Oncology: Other: Scientific Advisory Board - no payment accepted, Research Funding; BioSight: Other: No payment but was reimbursed for travel , Research Funding; Daiichi Sankyo: Other: Advisory Board - no payment but was reimbursed for travel; Agios: Other: advisory board, Research Funding; Glycomimetics: Other: Data safety and monitoring committee; Astellas: Other: Advisory Board, Speaker (no payment), Steering Committee (no payment), Research Funding; Theradex: Other: Advisory Board; ASH: Consultancy; Cancer Expert Now: Consultancy; France Foundation: Consultancy; PeerView: Consultancy; PrIME Oncology: Consultancy. Winter:Delta Fly Pharma: Consultancy; Amgen: Consultancy; Epizyme: Other: DSMB; CVS/Caremark: Consultancy; Ariad/Takeda: Consultancy; Norvartis: Consultancy, Other: DSMB; Merck: Membership on an entity's Board of Directors or advisory committees, Other: advisory board; Karyopharm: Membership on an entity's Board of Directors or advisory committees, Other: advisory board. Gordon:Zylem Biosciences: Patents & Royalties: Patents, No Royalties. Pro:Verastem Oncology: Research Funding. Ma:TG Therapeutics: Research Funding; Juno: Research Funding; Novartis: Research Funding; Kite: Consultancy, Honoraria; Pharmacyclics, LLC, an AbbVie Company: Consultancy, Honoraria, Research Funding, Speakers Bureau; AbbVie: Consultancy, Honoraria, Research Funding; AstraZeneca: Consultancy, Honoraria, Research Funding, Speakers Bureau; BeiGene: Honoraria, Research Funding, Speakers Bureau; Bioverativ: Consultancy, Honoraria; Genentech: Consultancy, Honoraria; Gilead: Consultancy, Honoraria; Janssen: Consultancy, Honoraria, Research Funding, Speakers Bureau. Karmali:BMS/Celgene/Juno: Honoraria, Other, Research Funding, Speakers Bureau; Takeda: Research Funding; Karyopharm: Honoraria; Gilead/Kite: Honoraria, Other, Research Funding, Speakers Bureau; AstraZeneca: Speakers Bureau; BeiGene: Speakers Bureau.

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Perioperative Anticoagulant Use for Surgery Evaluation (PAUSE) Study: A Perioperative Management Plan for Patients with Atrial Fibrillation Who Are Receiving a Direct Oral Anticoagulant

Blood ◽

10.1182/blood-2018-120770 ◽

2018 ◽

Vol 132 (Supplement 1) ◽

pp. LBA-5-LBA-5 ◽

Cited By ~ 2

Author(s):

James Douketis ◽

Alex C. Spyropoulos ◽

Joanne M Duncan ◽

Marc Carrier ◽

Gregoire Le Gal ◽

...

Keyword(s):

Board Of Directors ◽

Major Bleeding ◽

Research Funding ◽

Perioperative Management ◽

Elective Surgery ◽

Bleeding Risk ◽

Advisory Board ◽

Advisory Committees ◽

Arterial Thromboembolism ◽

High Bleeding Risk

Abstract Introduction: The perioperative management of patients who are taking a direct oral anticoagulant (DOAC) for atrial fibrillation (AF) and require an elective surgery/procedure is uncertain. No studies have addressed the timing of perioperative DOAC interruption and resumption, and if perioperative heparin bridging and coagulation function testing are needed. The Perioperative Anticoagulant Use for Surgery Evaluation (PAUSE) Study hypothesized that a simple, standardized perioperative management strategy, based on DOAC-specific interruption and resumption intervals, that foregoes perioperative heparin bridging and coagulation function testing, is safe for patient care, with associated low rates of major bleeding (1%) and arterial thromboembolism (0.5%). We postulated that this management yields a high proportion of patients (>90%) with a minimal to no DOAC level at surgery/procedure. Methods: PAUSE is a prospective study with 3 parallel DOAC cohorts of patients with AF taking apixaban, dabigatran or rivaroxaban and requiring anticoagulant interruption for an elective surgery/procedure. Patients were managed using a standardized protocol based on DOAC pharmacokinetic properties, procedure-associated bleeding risk (Appendix 1) and creatinine clearance (CrCl). DOACs were interrupted for 1 day before and after surgery for a low bleed risk surgery and 2 days before and after a high bleed surgery; longer interruption was done in patients on dabigatran with a CrCl<50 mL/min (Figure 1). A blood sample was obtained just before the procedure to measure residual DOAC levels (Appendix 2). Heparin bridging and preoperative coagulation testing were not used to manage patients. Patient follow-up occurred weekly for 30 days post-procedure for the primary clinical outcomes of major bleeding and arterial thromboembolism (Appendix 3). The incidence (95% confidence interval [CI]) of clinical outcomes was determined for each DOAC cohort using an intention-to-treat (ITT) analysis (interrupted at least 1 DOAC dose) and per-protocol analysis (adhering to DOAC interruption and resumption protocol). Results: We enrolled 3007 patients from 23 sites in Canada, the U.S. and Europe (Appendix 4). The patient characteristics were (Figure 2): mean age 72.5 years; 66.1% male; 33.5% high bleeding risk surgery/procedure, with 1257 patients in the apixaban cohort, 668 in the dabigatran cohort and 1082 in the rivaroxaban cohort (Table 1). DOAC interruption and resumption intervals are shown in Table 2. The 30-day postoperative rate (95% CI) of major bleeding was 1.35% (0-2.00) in the apixaban cohort, 0.90% (0-1.73) in the dabigatran cohort and 1.85% (0-2.65) in the rivaroxaban cohort; the rate (95% CI) of arterial thromboembolism was 0.16% (0-0.48) in the apixaban cohort, 0.6% (0-1.33) in the dabigatran cohort and 0.37% (0-0.82) in the rivaroxaban cohort (Table 3). There were 2541 (84.5%) patients with preoperative DOAC levels measured: a level <50 ng/ml occurred in 90.5% of patients in the apixaban cohort, in 95.1% of the dabigatran cohort and in 96.8% of the rivaroxaban cohort. Of 1007 patients having a high bleeding risk procedure, 832 (82.6%) had DOAC levels measured: 98.8% had a level <50 ng/mL (Table 4). Rates of major bleeding and arterial thromboembolism in the per protocol analysis were comparable to those of the ITT analysis (Table 5). Conclusions: In patients with AF who were taking a DOAC (apixaban, dabigatran, rivaroxaban) and required anticoagulant interruption for an elective surgery/procedure, using a standardized DOAC-specific perioperative management strategy was safe for patient care, with associated low rates of perioperative MB (<2%) and ATE (<1%). Further, a high proportion of patients (>90% overall; 98.8% at high bleeding risk) had a minimal or no residual DOAC level at the time of the surgery/procedure. PAUSE is the largest study, to date, that addresses how to manage the common problem of perioperative DOAC management. It is likely to have a practice-changing impact and will inform future practice guidelines in perioperative care. Study Funding: CIHR (313156) and the H&S Foundation of Canada (G-14-0006136). Aniara-Hyphen Biomed (assays). Acknowledgments: We thank Drs. Walter Ageno, David Garcia, Lehana Thabane, Wendt Lim, Lori Linkins, William Ristevski, and Demetrios J. Sahlas. Also, Kayla Lucier, Grace Wang, Tara McDougall, and HRLMP and CRLB. Supported by CanVector and REDCap. Disclosures Douketis: Bayer: Other: Advisory Board; Janssen: Consultancy; BMS: Other: Advisory Board; Biotie: Other: Advisory Board; Daiichi-Sankyo: Other: Advisory Board; Boehringer-Ingelheim: Consultancy, Other: Advisory Board, Research Funding; The Medicines Company: Other: Advisory Board; Sanofi: Consultancy, Other: Advisory Board; Astra-Zeneca: Other: Advisory Board; Portola: Other: Advisory Board; Pfizer: Other: Advisory Board. Spyropoulos:Janssen Scientific Affairs, LLC: Consultancy. Carrier:Bayer: Honoraria; Leo Pharma: Research Funding; Pfizer: Honoraria; BMS: Honoraria, Research Funding. Vanassche:Bayer: Consultancy; Boehringer Ingelheim: Consultancy; BMS/Pfizer: Consultancy. Verhamme:Bayer: Honoraria, Research Funding; Medtronic: Honoraria; Portola: Honoraria; Boehringer Ingelheim: Honoraria; Leo Pharma: Honoraria, Research Funding; BMS: Honoraria, Research Funding; Daiichi-Sankyo: Honoraria, Research Funding; Pfizer: Honoraria, Research Funding. Shivakumar:Pfizer: Honoraria; Servier: Honoraria; Bayer: Honoraria; LEO Pharma: Honoraria. Gross:Pfizer: Honoraria; Bayer: Honoraria; LEO Pharma: Honoraria; Servier: Honoraria. Lee:Pfizer: Consultancy, Research Funding; BMS: Research Funding; Servier: Honoraria; LEO Pharma: Consultancy, Research Funding; Bayer: Consultancy, Honoraria. Le Templier:BMS-pfizer: Honoraria. Wu:Leo Pharma: Honoraria; Pfizer: Honoraria; BMS-Pfizer: Honoraria. Coppens:Bayer: Honoraria, Other: Non-financial support, Research Funding; CSL Behring: Honoraria, Other: non-financial support, Research Funding; Uniqure BV: Research Funding. Arnold:Bristol Myers Squibb: Research Funding; UCB: Consultancy; Amgen: Consultancy, Research Funding; UCB: Consultancy; Amgen: Consultancy, Research Funding; Novartis: Consultancy, Research Funding; Bristol Myers Squibb: Research Funding; Novartis: Consultancy, Research Funding. Caprini:Alexion Pharmaceuticals: Membership on an entity's Board of Directors or advisory committees; Recovery Force: Consultancy; BMS: Membership on an entity's Board of Directors or advisory committees; Pfizor: Membership on an entity's Board of Directors or advisory committees; Janssen R&D: Membership on an entity's Board of Directors or advisory committees. Summer:Octapharma: Honoraria. Schulman:Daiichi-Sankyo: Honoraria; Bayer: Honoraria; Sanofi: Honoraria; Boehringer-Ingelheim: Honoraria, Research Funding.

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Preclinical Evaluation of Gilteritinib on NPM1-ALK Driven Anaplastic Large Cell Lymphoma Cells

Blood ◽

10.1182/blood-2019-130633 ◽

2019 ◽

Vol 134 (Supplement_1) ◽

pp. 2865-2865

Author(s):

Sudhakiranmayi Kuravi ◽

Janice Cheng ◽

Kishore Polireddy ◽

Gabrielle Fangman ◽

Roy A Jensen ◽

...

Keyword(s):

Tyrosine Kinase ◽

Board Of Directors ◽

Research Funding ◽

Cell Lymphoma ◽

Large Cell ◽

Advisory Board ◽

Advisory Committees ◽

Apoptotic Protein ◽

Large Cell Lymphoma ◽

Alk Positive

Anaplastic large cell lymphoma (ALCL) is an aggressive type of non-Hodgkin's lymphoma (NHL) comprising 2-8% of adult and 10-20% of pediatric and adolescent NHL. More than three-fourths of anaplastic lymphoma kinase (ALK)-positive ALCL express (nucleophosmin1) NPM1-ALK fusion gene as a result of t(2;5) chromosomal translocation. The self-dimerization of fusion kinase NPM1-ALK mediates constitutive activation of the chimeric tyrosine kinase activity leading to downstream signaling pathways responsible for lymphoma cell proliferation and survival. The current standard treatment regimen for ALK+ ALCL is CHOP (cyclophosphamide, hydroxy doxorubicin, vincristine, prednisone) chemotherapy. Oftentimes, resistance and failure of remission occur with CHOP therapy, making it a suboptimal treatment regimen for many patients. Therefore, an alternative therapeutic approach is warranted to better address the needs of the ALK+ ALCL population. Gilteritinib is a recently FDA approved tyrosine kinase inhibitor for the treatment of FMS-like tyrosine kinase (FLT3) mutation-positive acute myeloid leukemia. Along with inhibition of FLT3, gilteritinib also inhibits other tyrosine kinases such as AXL and ALK. In this study, for the first time, we demonstrated gilteritinib mediated growth inhibitory effects on NPM1-ALK driven ALCL cells. We have used a total of five cell lines in our study: NPM1-ALK endogenously expressing human ALCL cell lines (SUDHL-1, SUP-M2, SR-786, and DEL), and our laboratory generated ectopically overexpressing Ba/F3-FG-NPM1-ALK, a murine cell line. Gilteritinib treatment (5-20 nM) inhibited NPM1-ALK fusion kinase phosphorylation, which resulted in downregulation of downstream survival signaling pathways including AKT, ERK1/2, and STAT3 leading to induced apoptosis and decreased clonogenic survival. Gilteritinib mediated apoptosis was associated with caspase 3/9 and poly (ADP-ribose) polymerase cleavage with increased pro-apoptotic protein BAD and decreased anti-apoptotic protein MCL-1. Increased expression of c-Myc is associated with ALK-positive ALCL and gilteritinib treatment decreased c-Myc levels in a dose dependent manner. Cell cycle analysis demonstrated gilteritinib treatment induced cell cycle arrest at the G0/G1 phase with a concomitant decrease in G2/M and S phases. In summary, our preclinical results suggest gilteritinib has therapeutic potential for the treatment of ALCL cells expressing NPM1-ALK and other ALK /ALK-fusion driven hematologic or solid malignancies. Disclosures Lin: Jazz Pharmaceuticals: Honoraria; Pfizer: Membership on an entity's Board of Directors or advisory committees. Ganguly:Daiichi Sankyo: Research Funding; Seattle Genetics: Speakers Bureau; Janssen: Honoraria, Other: Advisory Board; Kite Pharma: Honoraria, Other: Advisory Board. McGuirk:ArticulateScience LLC: Other: Assistance with manuscript preparation; Juno Therapeutics: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Bellicum Pharmaceuticals: Research Funding; Astellas: Research Funding; Novartis: Research Funding; Fresenius Biotech: Research Funding; Pluristem Ltd: Research Funding; Gamida Cell: Research Funding; Kite Pharmaceuticals: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau.

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Multicenter Analysis of Treatment and Outcomes for Patient with TP53 Mutated AML in the Era of Novel Therapies; Significant Impact of Allogeneic Stem Cell Transplantation on Survival

Blood ◽

10.1182/blood-2021-147639 ◽

2021 ◽

Vol 138 (Supplement 1) ◽

pp. 797-797

Author(s):

Talha Badar ◽

Mark R. Litzow ◽

Rory M. Shallis ◽

Jan Philipp Bewersdorf ◽

Antoine Saliba ◽

...

Keyword(s):

Stem Cell ◽

High Risk ◽

Stem Cell Transplantation ◽

Board Of Directors ◽

Research Funding ◽

Univariate Analysis ◽

Advisory Board ◽

Novel Therapies ◽

Advisory Committees ◽

Tp53 Mutations

Abstract Background: TP53 mutations occur in 10-20% of patients with AML, constitute high-risk disease as per ELN criteria, and confer poorer prognosis. Venetoclax combination therapies and CPX-351 were recently approved for AML treatment and lead to improved outcomes in subsets of high-risk AML, however the most effective approach for treatment of TP53-mutated (m) AML remains unclear. In this study we explored the clinical outcome of TP53m AML patients treated over the last 8 years as novel therapies have been introduced to our therapeutic armamentarium. Methods: We conducted a multicenter observational study in collaboration with 4 U.S. academic centers and analyzed clinical characteristics and outcome of 174 TP53m AML patients diagnosed between March 2013 and February 2021. Mutation analysis was performed on bone marrow specimens using 42, 49, 199, or 400 gene targeted next generation sequencing (NGS) panels. Patients with an initial diagnosis of AML were divided into 4 groups (GP) based on the progressive use of novel therapies in clinical trials and their approvals as AML induction therapy during different time periods: 2013-2017 (GP1, n= 37), 2018-2019 (GP2, n= 53), 2019-2020 (GP3, n= 48) and 2020-2021 (GP4, n= 36) to analyze difference in outcome. Results: Baseline characteristics were not significantly different across different GP, as shown in Table 1. Median age of patients was 68 (range [R], 18-83), 65 (R, 29-88), 69 (R, 37-90) and 70 (R, 51-97) years in GP1-4, respectively (p=0.40). The percentage of patients with de novo AML/secondary AML/therapy-related AML in GP1-4 was 40/40/20, 36/29/24, 37.5/37.5/25 and 28/52/20, respectively (p=0.82). The proportion of patients with complex cytogenetics (CG) was 92%, 89%, 96% and 94% in GP1-4, respectively (p=0.54). The median TP53m variant allele frequency (VAF) was 48% (range [R], 5-94), 42% (R, 5-91), 45% (R, 10-94) and 60% (R, 8-82) in GP1-4, respectively (p=0.38). Four (11%), 13 (24.5%), 10 (21%) and 9 (25%) patients had multiple TP53 mutations in GP1-4, respectively (p=0.33). The proportion of patients who received 3+7 (30%, 16%, 6% & 8%; p=0.01), HMA only (11%, 18%, 2% & 8%; p=0.06), venetoclax-based (2.5%, 12%, 48%, & 61%; p <0.01) and CPX-351 induction (16%, 40%, 28% & 5%; p<0.001) were varied in GP1-4, respectively. The rate of CR/CRi was 22%, 26%, 28% and 18% in GP1-4, respectively (p=0.63). Treatment related mortality during induction was observed in 3%, 7%, 10% and 17% of patients in GP1-4, respectively (p=0.18). Overall, 28 (16%) patients received allogeneic hematopoietic stem cell transplantation (alloHCT) after induction/consolidation: 22%, 15%, 17% and 11% in GP1-4, respectively (p=0.67). In subset analysis, there was no difference in the rate of CR/CRi with venetoclax-based regimens vs. others (39% vs 61%, p=0.18) or with CPX-351 vs. others (25% vs 75%, p=0.84). The median progression-free survival was 7.7, 7.0, 5.1 and 6.6 months in GP1-4, respectively (p=0.60, Fig 1A). The median overall survival (OS) was 9.4, 6.1, 4.0 and 8.0 months in GP1-4, respectively (p=0.29, Fig 1B). In univariate analysis for OS, achievement of CR/CRi (p<0.001) and alloHCT in CR1 (p<0.001) associated with favorable outcome, whereas complex CG (p=0.01) and primary refractory disease (p<0.001) associated with poor outcome. Multiple TP53 mutations (p=0.73), concurrent ASXL1m (p=0.86), extra-medullary disease (p=0.92), ≥ 3 non-TP53m mutations (p=0.72), TP53m VAF ≥ 40% vs. < 40% (p=0.25), induction with CPX-351 vs. others (p=0.59) or venetoclax-based regimen vs. others (p=0.14) did not show significance for favorable or poor OS in univariate analysis. In multivariable analysis, alloHCT in CR1 (hazard ratio [HR]=0.28, 95% CI: 0.15-0.53; p=0.001) retained an association with favorable OS and complex CG (HR 4.23, 95%CI: 1.79-10.0; p=0.001) retained an association with dismal OS. Conclusion: We present the largest experience with TP53m AML patients analyzed by NGS. Although outcomes were almost universally dismal, alloHCT appears to improve the long-term survival in a subset of these patients. Effective therapies are warranted to successfully bridge patients to alloHCT and to prolong survival for transplant ineligible patients. Figure 1 Figure 1. Disclosures Badar: Pfizer Hematology-Oncology: Membership on an entity's Board of Directors or advisory committees. Litzow: Omeros: Other: Advisory Board; Pluristem: Research Funding; Actinium: Research Funding; Amgen: Research Funding; Jazz: Other: Advisory Board; AbbVie: Research Funding; Astellas: Research Funding; Biosight: Other: Data monitoring committee. Shallis: Curis: Divested equity in a private or publicly-traded company in the past 24 months. Goldberg: Celularity: Research Funding; Astellas: Consultancy, Membership on an entity's Board of Directors or advisory committees; Aprea: Research Funding; Arog: Research Funding; DAVA Oncology: Honoraria; Genentech: Consultancy, Membership on an entity's Board of Directors or advisory committees; Pfizer: Research Funding; Prelude Therapeutics: Research Funding; Aptose: Consultancy, Research Funding; AbbVie: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding. Atallah: BMS: Honoraria, Speakers Bureau; Takeda: Consultancy, Research Funding; Amgen: Consultancy; Abbvie: Consultancy, Speakers Bureau; Novartis: Consultancy, Honoraria, Research Funding; Pfizer: Consultancy, Research Funding. Foran: revolution medicine: Honoraria; gamida: Honoraria; bms: Honoraria; pfizer: Honoraria; novartis: Honoraria; takeda: Research Funding; kura: Research Funding; h3bioscience: Research Funding; OncLive: Honoraria; servier: Honoraria; aptose: Research Funding; actinium: Research Funding; abbvie: Research Funding; trillium: Research Funding; sanofi aventis: Honoraria; certara: Honoraria; syros: Honoraria; taiho: Honoraria; boehringer ingelheim: Research Funding; aprea: Research Funding; sellas: Research Funding; stemline: Research Funding.

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Conventional Immunochemotherapy (R-CHOEP) Vs High-Dose Immunochemotherapy (R-MegaCHOEP) in Younger Patients with High-Risk Aggressive B-Cell Lymphoma: 10-Year Long-Term Follow-up of a German Lymphoma Alliance (GLA) Study

Blood ◽

10.1182/blood-2019-123637 ◽

2019 ◽

Vol 134 (Supplement_1) ◽

pp. 1589-1589

Author(s):

Fabian Frontzek ◽

Marita Ziepert ◽

Maike Nickelsen ◽

Bettina Altmann ◽

Bertram Glass ◽

...

Keyword(s):

High Risk ◽

Board Of Directors ◽

Research Funding ◽

Advisory Board ◽

High Dose ◽

Advisory Committees ◽

Scientific Advisory Board ◽

Scientific Advisory

Introduction: The R-MegaCHOEP trial showed that dose-escalation of conventional chemotherapy necessitating autologous stem cell transplantation (ASCT) does not confer a survival benefit for younger patients (pts) with high-risk aggressive B-cell lymphoma in the Rituximab era (Schmitz et al., Lancet Oncology 2012; 13, 1250-1259). To describe efficacy and toxicity over time and document the long-term risks of relapse and secondary malignancy we present the 10-year follow-up of this study. Methods: In the randomized, prospective phase 3 trial R-MegaCHOEP younger pts aged 18-60 years with newly diagnosed, high-risk (aaIPI 2-3) aggressive B-cell lymphoma were assigned to 8 cycles of CHOEP (cyclophosphamide, doxorubcine, vincristine, etoposide, prednisone) or 4 cycles of dose-escalated high-dose therapy (HDT) necessitating repetitive ASCT both combined with Rituximab. Both arms were stratified according to aaIPI, bulky disease, and center. Primary endpoint was event-free survival (EFS). All analyses were calculated for the intention-to-treat population. This follow-up report includes molecular data based on immunohistochemistry (IHC) and fluorescent in situ hybridization (FISH) for MYC (IHC: 31/92 positive [40-100%], FISH: 14/103 positive), BCL2 (IHC: 65/89 positive [50-100%], FISH: 23/111 positive) and BCL6 (IHC: 52/86 positive [30-100%], FISH: 34/110 positive) and data on cell of origin (COO) classification according to the Lymph2CX assay (GCB: 53/88; ABC: 24/88; unclassified: 11/88). Results: 130 pts had been assigned to R-CHOEP and 132 to R-MegaCHOEP. DLBCL was the most common lymphoma subtype (~80%). 73% of pts scored an aaIPI of 2 and 27% an aaIPI of 3. 60% of pts had an initial lymphoma bulk and in 40% more than 1 extranodal site was involved. After a median observation time of 111 months, EFS at 10 years was 57% (95% CI 47-67%) in the R-CHOEP vs. 51% in the R-MegaCHOEP arm (42-61%) (hazard ratio 1.3, 95% CI 0.9-1.8, p=0.228), overall survival (OS) after 10 years was 72% (63-81%) vs. 66% (57-76%) respectively (p=0.249). With regard to molecular characterization, we were unable to detect a significant benefit for HDT/ASCT in any subgroup analyzed. In total, 16% of pts (30 pts) relapsed after having achieved a complete remission (CR). 23% of all relapses (7 pts) showed an indolent histology (follicular lymphoma grade 1-3a) and 6 of these pts survived long-term. In contrast, of 23 pts (77%) relapsing with aggressive DLBCL or unknown histology 18 pts died due to lymphoma or related therapy. The majority of relapses occurred during the first 3 years after randomization (median time: 22 months) while after 5 years we detected relapses only in 5 pts (3% of all 190 pts prior CR). 11% of pts were initially progressive (28 pts) among whom 71% (20 pts) died rapidly due to lymphoma. Interestingly, the remaining 29% (8 pts) showed a long-term survival after salvage therapy (+/- ASCT); only 1 pt received allogeneic transplantation. The frequency of secondary malignancies was very similar in both treatment arms (9% vs. 8%) despite the very high dose of etoposide (total 4g/m2)in the R-MegaCHOEP arm. We observed 2 cases of AML and 1 case of MDS per arm. In total 70 pts (28%) have died: 30 pts due to lymphoma (12%), 22 pts therapy-related (11 pts due to salvage therapy) (9%), 8 pts of secondary neoplasia (3%), 5 pts due to concomitant disease (2%) and 5 pts for unknown reasons. Conclusions: This 10-year long-term follow-up of the R-MegaCHOEP trial confirms the very encouraging outcome of young high-risk pts following conventional chemotherapy with R-CHOEP. High-dose therapy did not improve outcome in any subgroup analysis including molecular high-risk groups. Relapse rate was generally low. Pts with aggressive relapse showed a very poor long-term outcome while pts with indolent histology at relapse survived long-term. Secondary malignancies occurred; however, they were rare with no excess leukemias/MDS following treatment with very high doses of etoposide and other cytotoxic agents. Supported by Deutsche Krebshilfe. Figure Disclosures Nickelsen: Roche Pharma AG: Membership on an entity's Board of Directors or advisory committees, Other: Travel Grants; Celgene: Membership on an entity's Board of Directors or advisory committees, Other: Travel Grant; Janssen: Membership on an entity's Board of Directors or advisory committees. Hänel:Amgen: Honoraria; Celgene: Other: advisory board; Novartis: Honoraria; Takeda: Other: advisory board; Roche: Honoraria. Truemper:Nordic Nanovector: Consultancy; Roche: Research Funding; Mundipharma: Research Funding; Janssen Oncology: Consultancy; Takeda: Consultancy, Research Funding; Seattle Genetics, Inc.: Research Funding. Held:Roche: Consultancy, Other: Travel support, Research Funding; Amgen: Research Funding; Acrotech: Research Funding; MSD: Consultancy; Bristol-Myers Squibb: Consultancy, Other: Travel support, Research Funding. Dreyling:Roche: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: scientific advisory board, Research Funding, Speakers Bureau; Bayer: Consultancy, Other: scientific advisory board, Speakers Bureau; Celgene: Consultancy, Other: scientific advisory board, Research Funding, Speakers Bureau; Mundipharma: Consultancy, Research Funding; Gilead: Consultancy, Other: scientific advisory board, Speakers Bureau; Novartis: Other: scientific advisory board; Sandoz: Other: scientific advisory board; Janssen: Consultancy, Other: scientific advisory board, Research Funding, Speakers Bureau; Acerta: Other: scientific advisory board. Viardot:Kite/Gilead: Honoraria, Membership on an entity's Board of Directors or advisory committees; Amgen: Honoraria, Membership on an entity's Board of Directors or advisory committees; Pfizer: Honoraria; F. Hoffmann-La Roche Ltd: Honoraria, Membership on an entity's Board of Directors or advisory committees. Rosenwald:MorphoSys: Consultancy. Lenz:Gilead: Consultancy, Honoraria, Research Funding, Speakers Bureau; AstraZeneca: Consultancy, Honoraria, Research Funding; Agios: Research Funding; Celgene: Consultancy, Honoraria, Research Funding, Speakers Bureau; Bayer: Consultancy, Honoraria, Research Funding, Speakers Bureau; Janssen: Consultancy, Honoraria, Research Funding, Speakers Bureau; Roche: Employment, Honoraria, Research Funding, Speakers Bureau; BMS: Consultancy. Schmitz:Novartis: Honoraria; Gilead: Honoraria; Celgene: Equity Ownership; Riemser: Consultancy, Honoraria.

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Identification of Two CAR T-Cell Populations Associated with Complete Response or Progressive Disease in Adult Lymphoma Patients Treated with Axi-Cel

Blood ◽

10.1182/blood-2019-130815 ◽

2019 ◽

Vol 134 (Supplement_1) ◽

pp. 779-779 ◽

Cited By ~ 2

Author(s):

Zinaida Good ◽

Jay Y. Spiegel ◽

Bita Sahaf ◽

Meena B. Malipatlolla ◽

Matthew J. Frank ◽

...

Keyword(s):

T Cells ◽

T Cell ◽

Board Of Directors ◽

Research Funding ◽

Advisory Board ◽

Advisory Committees ◽

Car T Cells ◽

Scientific Advisory Board ◽

Car T ◽

Scientific Advisory

Axicabtagene ciloleucel (Axi-cel) is an autologous anti-CD19 chimeric antigen receptor (CAR) T-cell therapy approved for the treatment of relapsed or refractory diffuse large B-cell lymphoma (r/r DLBCL). Long-term analysis of the ZUMA-1 phase 1-2 clinical trial showed that ~40% of Axi-cel patients remained progression-free at 2 years (Locke et al., Lancet Oncology 2019). Those patients who achieved a complete response (CR) at 6 months generally remained progression-free long-term. The biological basis for achieving a durable CR in patients receiving Axi-cel remains poorly understood. Here, we sought to identify CAR T-cell intrinsic features associated with CR at 6 months in DLBCL patients receiving commercial Axi-cel at our institution. Using mass cytometry, we assessed expression of 33 surface or intracellular proteins relevant to T-cell function on blood collected before CAR T cell infusion, on day 7 (peak expansion), and on day 21 (late expansion) post-infusion. To identify cell features that distinguish patients with durable CR (n = 11) from those who developed progressive disease (PD, n = 14) by 6 months following Axi-cel infusion, we performed differential abundance analysis of multiparametric protein expression on CAR T cells. This unsupervised analysis identified populations on day 7 associated with persistent CR or PD at 6 months. Using 10-fold cross-validation, we next fitted a least absolute shrinkage and selection operator (lasso) model that identified two clusters of CD4+ CAR T cells on day 7 as potentially predictive of clinical outcome. The first cluster identified by our model was associated with CR at 6 months and had high expression of CD45RO, CD57, PD1, and T-bet transcription factor. Analysis of protein co-expression in this cluster enabled us to define a simple gating scheme based on high expression of CD57 and T-bet, which captured a population of CD4+ CAR T cells on day 7 with greater expansion in patients experiencing a durable CR (mean±s.e.m. CR: 26.13%±2.59%, PD: 10.99%±2.53%, P = 0.0014). In contrast, the second cluster was associated with PD at 6 months and had high expression of CD25, TIGIT, and Helios transcription factor with no CD57. A CD57-negative Helios-positive gate captured a population of CD4+ CAR T cells was enriched on day 7 in patients who experienced progression (CR: 9.75%±2.70%, PD: 20.93%±3.70%, P = 0.016). Co-expression of CD4, CD25, and Helios on these CAR T cells highlights their similarity to regulatory T cells, which could provide a basis for their detrimental effects. In this exploratory analysis of 25 patients treated with Axi-cel, we identified two populations of CD4+ CAR T cells on day 7 that were highly associated with clinical outcome at 6 months. Ongoing analyses are underway to fully characterize this dataset, to explore the biological activity of the populations identified, and to assess the presence of other populations that may be associated with CAR-T expansion or neurotoxicity. This work demonstrates how multidimensional correlative studies can enhance our understanding of CAR T-cell biology and uncover populations associated with clinical outcome in CAR T cell therapies. This work was supported by the Parker Institute for Cancer Immunotherapy. Figure Disclosures Muffly: Pfizer: Consultancy; Adaptive: Research Funding; KITE: Consultancy. Miklos:Celgene: Membership on an entity's Board of Directors or advisory committees; BMS: Membership on an entity's Board of Directors or advisory committees; Kite-Gilead: Membership on an entity's Board of Directors or advisory committees, Research Funding; AlloGene: Membership on an entity's Board of Directors or advisory committees; Precision Bioscience: Membership on an entity's Board of Directors or advisory committees; Miltenyi Biotech: Membership on an entity's Board of Directors or advisory committees; Becton Dickinson: Research Funding; Adaptive Biotechnologies: Membership on an entity's Board of Directors or advisory committees; Novartis: Membership on an entity's Board of Directors or advisory committees, Research Funding; Juno: Membership on an entity's Board of Directors or advisory committees. Mackall:Vor: Other: Scientific Advisory Board; Roche: Other: Scientific Advisory Board; Adaptimmune LLC: Other: Scientific Advisory Board; Glaxo-Smith-Kline: Other: Scientific Advisory Board; Allogene: Equity Ownership, Membership on an entity's Board of Directors or advisory committees; Apricity Health: Equity Ownership, Membership on an entity's Board of Directors or advisory committees; Unum Therapeutics: Equity Ownership, Membership on an entity's Board of Directors or advisory committees; Obsidian: Research Funding; Lyell: Consultancy, Equity Ownership, Other: Founder, Research Funding; Nektar: Other: Scientific Advisory Board; PACT: Other: Scientific Advisory Board; Bryologyx: Other: Scientific Advisory Board.

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Clonal Tracking By Whole Genome Sequencing Permits Comprehensive Mapping of the Genomic Landscape in Pre- and Post-Gene Therapy Sickle Cell Patients

Blood ◽

10.1182/blood-2021-152262 ◽

2021 ◽

Vol 138 (Supplement 1) ◽

pp. 559-559

Author(s):

Alyssa H. Cull ◽

Michael Spencer Chapman ◽

Marioara Ciuculescu ◽

Emily Mitchell ◽

Myriam Armant ◽

...

Keyword(s):

Gene Therapy ◽

Stem Cell ◽

Board Of Directors ◽

Sickle Cell ◽

Research Funding ◽

Phylogenetic Trees ◽

Insertion Site ◽

Advisory Board ◽

Advisory Committees ◽

Genomic Landscape

Abstract Recent advances in clonal stem cell tracking strategies have enabled interrogation of unperturbed human hematopoiesis. Whole genome sequencing (WGS) can be used to map the clonal dynamics of hematopoietic stem and progenitor cells (HSPCs) by employing spontaneous somatic mutations as unique clonal tags (Lee-Six et al., Nature, 2018). These tags allow for retrospective analysis of individual stem cell clones and the construction of phylogenetic trees mapping out stem cell relatedness, with mutations being acquired in a near-linear fashion over the course of an individual's life. The unprecedented level of information obtained in these studies is particularly well-suited to understanding genomic changes in gene therapy trials aimed at curing diseases such as sickle cell disease (SCD). In addition to mapping relatedness between stem cells, sequencing data can be used to better define mutational signatures for HSPC clones that have been successfully gene-modified as well as those that lack an integrated copy of the therapeutic vector. Given this method's ability to identify low frequency mutations in individual HSPC clones, mutations with extremely low variant allele frequencies can be detected much more readily than through traditional bulk sequencing approaches, something that is particularly relevant given recent safety concerns in some SCD gene therapy trials. In this study, we have mapped the clonal dynamics of HSPCs obtained from pre- and post-gene therapy samples from 4 SCD patients who have undergone autologous gene therapy performed using a BCL11A shmiR lentivirus vector (NCT 03282656, 12-36 months follow-up). HSPCs from mobilized peripheral blood (pre-gene therapy), bone marrow aspirates (both pre- and post-gene therapy) or unmobilized peripheral blood (post-gene therapy) were expanded as single clones and 1508 individual colonies were then sequenced using WGS to an average sequencing depth of 12.3x. Initial results indicate that the mean mutation burden per cell in a pre-gene therapy sample is elevated for some patients compared to what would be expected based on patient age in similar studies. In pre-gene therapy samples, the structure of the phylogenetic trees appeared to be highly polyclonal, indicating that there were no significant clonal expansion events prior to gene therapy. In one patient where we undertook extensive profiling, approximately 15-20 excess mutations per HSPC were observed across the entire genome 24 months after transplantation, presumably acquired as a consequence of gene therapy and/or reconstitution post-transplantation, which is equivalent to approximately one year of normal ageing without a transplantation intervention. However, no clonal expansions or driver mutations were identified at this 24 month follow-up timepoint, suggesting that no strong selective advantage or pre-leukemic events were present prior to or following the gene therapy protocol. Extending this approach to a wider range and larger number of patients will allow for comprehensive mapping of the genomic landscape and clonal evolution of stem cells in sickle cell patients and will also set the stage for improved assessment of safety and potential leukemia-initiating events in the context of gene therapy. Disclosures Esrick: bluebird bio: Consultancy. Williams: bluebird bio: Membership on an entity's Board of Directors or advisory committees, Other: Insertion Site Analysis Advisory Board, Patents & Royalties: BCH licensed certain IP relevant to hemoglobinopathies to bluebird bio. The current license includes the potential for future royalty/milestone income. Bluebird has indicated they will not pursue this as a clinical program and BCH is negotiating return of, Research Funding; BioMarin: Membership on an entity's Board of Directors or advisory committees, Other: Insertion Site Advisory Board; Beam Therapeutics: Membership on an entity's Board of Directors or advisory committees, Other: Scientific Advisory Board; Emerging Therapy Solutions: Membership on an entity's Board of Directors or advisory committees, Other: Chief Scientific Chair; Geneception: Membership on an entity's Board of Directors or advisory committees, Other: Scientific Advisory Board; Alerion Biosciences: Other: Co-founder (now licensed to Avro Bio, potential for future milestones/royalties); Novartis: Membership on an entity's Board of Directors or advisory committees, Other: Steering Committee, Novartis ETB115E2201 (eltrombopag in aplastic anemia). Advisory fees donated to NAPAAC.; Orchard Therapeutics: Membership on an entity's Board of Directors or advisory committees, Other: Membership on a safety advisory board (SAB): SAB position ended 05/20/2021. Co-founder , Patents & Royalties: Potential for future royalty/milestone income, X-SCID. Provided GMP vector for clinical trial, Research Funding. Campbell: Mu Genomics: Current holder of individual stocks in a privately-held company, Membership on an entity's Board of Directors or advisory committees. Kent: STRM.bio: Research Funding.

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