Outcomes for Elderly Patients (pts) with Follicular Lymphoma (FL) Using Individual Patient Data (IPD) from 5922 Pts in 18 Randomized Controlled Trials (RCTs): a Follicular Lymphoma Analysis of Surrogate Hypothesis (FLASH) Group Study

Blood ◽  
2016 ◽  
Vol 128 (22) ◽  
pp. 1102-1102 ◽  
Author(s):  
Christopher Flowers ◽  
Fang-Shu Ou ◽  
Qian Shi ◽  
Eva Hoster ◽  
Bruce A. Peterson ◽  
...  
Keyword(s):  
Follicular Lymphoma ◽  
Board Of Directors ◽  
Research Funding ◽  
Regression Models ◽  
Age Groups ◽  
Early Disease ◽  
Advisory Committees ◽  
Randomized Controlled ◽  
Disease Outcomes ◽  
Ecog Ps

Abstract Background: Limited data exist to describe the clinical features and outcomes for elderly pts with FL. The FLASH group performed a prospectively planned pooled analysis of IPD from first-line RCTs and examined associations between age (<= 70 vs. > 70 years), clinical characteristics and FL outcomes. Methods: We identified 18 randomized controlled multicenter clinical trials in the FLASH database which enrolled elderly pts (> 70 yrs). From these 18 studies, 5922 previously untreated FL pts were included for this analysis. Complete response (CR) at 24 and 30 months were defined as whether the pt achieved and remains in CR at 24 months and 30 months after initiation of induction treatment. PFS24 is defined as proportion of pts progression-free and alive at 24 months post-randomization. Time to progression (TTP) and overall survival (OS) were defined as time from randomization to the date of progression (censoring for death without progression) and date of death due to any cause, respectively. Progression-free survival (PFS) was defined as time from randomization to the date of progression or death, due to any cause, whichever comes first. Non-lymphoma death was defined as death without prior progression. Early disease outcomes, i.e. CR24, CR30, and PFS24 were primary outcomes; secondary outcomes were TTP, OS, and PFS. For time-to-event outcomes, Kaplan-Meier method and log-rank test were used for univariate estimation and comparison; stratified Cox proportional hazard modeling was used for multivariable analyses. Cumulative incidence methods were used to model PFS while treating disease progression as the primary event of interest and non-lymphoma death as a competing risk. For binary outcomes, multivariable logistic regression was used to estimate the association between age groups and outcomes. Variable adjusted in the regression models are FLIPI score without the age component, ECOG performance status (>= 2 vs < 2), and rituximab use. Results: Among 5922 previously untreated FL pts from 18 RCTs, 63% (n = 3728) were <= 60, 28% (n = 1652) 61-70, and 9% (n = 542) > 70 yrs. Pts age > 70 (vs. <= 70) more commonly had elevated LDH (42% vs 36%, p = 0.02), hemoglobin < 12 g/dL (27% vs 19%, p < 0.0001), ECOG PS >= 2 (8.8% vs 5.0%, p = 0.0004), and elevated β2-microglobulin (68% vs 49%, p < 0.001), less often had > 4 lymph nodes involved (54% vs 65%, p < 0.001), and had similar FLIPI scores without age component (p = 0.17). There were no significant differences between groups in: Ann Arbor stage (94% vs 95% stage III/IV) or rituximab use (62% vs 58%). Median survival follow-up was 5.6 yrs. Pts > 70 yrs did not differ from pts <= 70 in rates of CR24 (27% vs 30%, p=0.32), CR30 (29% vs 31%, p=0.55) or PFS24 (63% vs. 67%, p=0.10). Median TTP was 3.8 and 4.0 years for pts > 70 and <= 70, respectively (HR=1.08, 95% CI 0.96-1.23, p=0.20). With a median OS of 14.6 years for all pts, median OS was 7.4 and 15.7 years for pts > 70 and <= 70, respectively (HR=2.35, 95% CI=2.03-2.73, p<0.001). PFS was statistically significantly different but clinically similar at median 3.1 and 3.8 years for pts > 70 and <= 70, respectively (HR=1.26, 95% CI =1.12-1.41, p<0.001). Further investigation showed the difference in PFS was due to higher incidence of non-lymphoma death in pts > 70 with no difference in disease progression (Figure). In regression models, adjusting for rituximab use, ECOG PS >= 2, and FLIPI score without the age component, age > 70 was a significant predictor of OS and PFS (due to higher incidence of non-lymphoma death), but not PFS24, CR24 or CR30 (Table). Conclusions: FL pts > 70 yrs treated on trials have similar early disease outcomes to younger patients. There is no disease-specific outcome difference between age groups. Age alone should not disqualify patients from standard treatments or RCTs. Disclosures Flowers: Genentech: Consultancy, Research Funding; NIH: Research Funding; Mayo Clinic: Research Funding; TG Therapeutics: Research Funding; Millenium/Takeda: Research Funding; ECOG: Research Funding; Acerta: Research Funding; Pharmacyclics, LLC, an AbbVie Company: Research Funding; Roche: Consultancy, Research Funding; AbbVie: Research Funding; Infinity: Research Funding; Gilead: Consultancy, Research Funding. Ou:Mayo Clinic: Employment. Shi:Mayo Clinic: Employment. Hochster:Genentech: Consultancy, Other: Consultancy fees for advisory boards for GI cancer and bevacizumab with amounts within Yale University de minims guidelines. Brice:Roche: Honoraria; Takeda Pharmaceuticals International Co.: Honoraria, Research Funding; Bristol Myers-Squibb: Honoraria; Gilead: Honoraria; Seattle Genetics: Research Funding. Hiddemann:Roche: Other: Grants; Roche: Membership on an entity's Board of Directors or advisory committees; Genentech: Other: Grants. Marcus:Takeda: Consultancy, Speakers Bureau; Roche: Consultancy, Speakers Bureau. Kimby:Abbvie: Consultancy, Honoraria; Jansen: Consultancy, Honoraria; Celgene: Honoraria; Baxalta: Consultancy; Gilead: Honoraria. Herold:Gilead: Other: Personal fees from member advisory board; Celgene: Honoraria; Genentech: Other: Grants; Roche: Honoraria, Other: Grants. De Bedout:Celgene: Employment. Nielsen:Hoffmann-La Roche: Employment. Morschhauser:Roche: Consultancy, Honoraria; Celgene: Consultancy, Honoraria; Servier: Consultancy, Honoraria; Gilead Sciences: Consultancy, Honoraria; Janssen: Honoraria. Rummel:Mundipharma GmbH: Other: Personal fees, Research Funding; Roche Pharma AG: Other: Personal fees, Research Funding. Vitolo:Gilead: Other: Honoraria for lectures; Takeda: Other: Honoraria for lectures; Roche: Membership on an entity's Board of Directors or advisory committees, Other: Honoraria for lectures; Janssen: Membership on an entity's Board of Directors or advisory committees, Other: Honoraria for lectures. Salles:Celgene: Consultancy, Honoraria; Novartis: Consultancy, Honoraria; Amgen: Consultancy, Honoraria; Gilead: Honoraria, Research Funding; Janssen: Consultancy, Honoraria; Roche/Genentech: Consultancy, Honoraria, Research Funding; Mundipharma: Honoraria. Sargent:Celgene: Research Funding.

scholarly journals Outcomes of older patients with follicular lymphoma using individual data from 5922 patients in 18 randomized controlled trials

2021 ◽  
Vol 5 (6) ◽  
pp. 1737-1745
Author(s):  
Carla Casulo ◽  
Jesse G. Dixon ◽  
Fang-Shu Ou ◽  
Eva Hoster ◽  
Bruce A. Peterson ◽  
...  
Keyword(s):  
Elderly Patients ◽  
Follicular Lymphoma ◽  
Randomized Controlled Trials ◽  
Age Groups ◽  
Progression Free Survival ◽  
Controlled Trials ◽  
Early Disease ◽  
End Points ◽  
Randomized Controlled ◽  
Disease Outcomes

Abstract Limited data exist to describe the clinical features and outcomes for elderly patients with follicular lymphoma (FL). The Follicular Lymphoma Analysis of Surrogacy Hypothesis (FLASH) group performed a prospectively planned pooled analysis of individual patient data from first-line randomized controlled trials (RCTs) and examined associations between age (≤70 vs &gt;70 years), clinical characteristics, and FL outcomes. We identified 18 multicenter clinical RCTs in the FLASH database that enrolled elderly patients (&gt;70 years). Primary end points were early disease outcomes, CR24 and CR30, and progression-free survival (PFS) at 24 months (PFS24). Secondary end points were PFS and overall survival (OS). We identified 5922 previously untreated FL patients from 18 RCTs. Patients age &gt;70 years (vs ≤70 years) more commonly had elevated lactate dehydrogenase, hemoglobin &lt;12 g/dL, ECOG PS ≥2, and elevated β2-microglobulin. Median follow-up was 5.6 years. Patients &gt;70 years did not differ from patients ≤70 years in rates of CR24, CR30, or PFS24. With a median OS of 14.6 years for all patients, median OS was 7.4 and 15.7 years for patients &gt;70 and ≤70 years of age, respectively (hazard ratio = 2.35; 95% confidence interval = 2.03-2.73; P &lt; .001). Age &gt;70 years was a significant predictor of OS and PFS due to higher rates of death without progression, but not PFS24, CR24, or CR30. FL patients &gt;70 years treated on trials have similar early disease outcomes to younger patients. There is no disease-specific outcome difference between age groups. Age alone should not disqualify patients from standard treatments or RCTs.

Patterns of Care for Patients with Chronic Lymphocytic Leukemia (CLL): The Connect® CLL Disease Registry

Blood ◽  
2011 ◽  
Vol 118 (21) ◽  
pp. 2864-2864
Author(s):  
Jeff Sharman ◽  
Christopher R Flowers ◽  
Mark Weiss ◽  
David Grinblatt ◽  
Charles Farber ◽  
...  
Keyword(s):  
Board Of Directors ◽  
Research Funding ◽  
Age Groups ◽  
Age Group ◽  
First Line ◽  
Advisory Committees ◽  
First Line Therapy ◽  
Line Therapy ◽  
Ecog Ps ◽  
Group 1

Abstract Abstract 2864 Introduction: Clinical trials have illuminated a number of unique treatment strategies for patients with CLL. The impact of these strategies on routine practice remains unknown as trial participants may not reflect the same population encountered outside of a clinical trial setting. Many questions remain regarding the sequencing of therapies based on age and performance status. By characterizing current patterns of care; patients, treating physicians, and regulatory agencies will be able to understand the current landscape of CLL treatment. The Connect® CLL registry was designed to report the natural history and real world management of patients receiving therapy for CLL. In this first report, we characterize the therapeutic approaches used for the treatment of patients with CLL of different age groups (i.e. < 65 years, 65–75 years, and ≥ 75 years) and with an ECOG PS status score of 0 compared to 1 or greater. Methods: Connect® CLL is a prospective, longitudinal, observational, multi-center registry conducted in community and academic research centers in the United States. At present, 237 sites are actively participating with a projected study enrollment of 1500 patients. Eligible patients are to be enrolled within 2 months of being initiated on any line of therapy; whether initial therapy or salvage therapy. Each patient will be followed for up to 60 months. Clinical data, physician choices, patient-reported health-related quality of life, response and survival are to be collected approximately every 3 months during participation. Results: A total of 607 patients have been enrolled (4% from academic sites) with a median age of 70 years. 198 were < 65 years old (age group 1), 187 were between 65–75 years old (age group 2), and 222 were ≥ 75 years old (age group 3). ECOG status varied across the three age groups, with an ECOG status score of ≥ 1 for 39%, 52%, and 70% of patients respectively. Treatment patterns varied across the age groups and by ECOG status in the 496 patients reporting therapies. The most commonly recorded first-line regimens independent of age included fludarabine (F) cyclophosphamide (C) and rituximab (R) (33%), bendamustine (B) +/− R (19%), F +/− R (15%), or investigational therapy (15%). For second-line regimens and beyond, the most frequently recorded regimen was B +/− R (30%), FCR (23%), other F-based regimens (13%), or investigational therapy (8%). The use of FCR for first-line treatment decreased significantly with increasing age group, (45%, 32%, 20%, for age group 1, 2, 3 respectively, p=0.04, spearman correlation) while use of F +/− R remained level across the age groups (14%, 15%, 15%, respectively). Compared to age group 1, first-line therapy with B +/− R in age groups 2 and 3 (15%, 22%, 21%, respectively) was higher but did not achieve statistical significance. B +/− R represented the most common treatment for all age groups (37%, 26%, 29%, respectively) as second line therapy but did not vary by age (P=0.35). The use of chlorambucil was infrequent in all age groups, but was more common in age group 3 patients compared to the others (P=0.01), in both first-line (2%, 4%, 12%, respectively) and subsequent lines of therapy (0%, 1%, 8%, respectively). Treatment assignments did not vary by ECOG PS score for patients in age group 1. First-line therapy for patients with an ECOG PS score of 0 in age groups 2 and 3 consisted of FCR (32% and 15%, respectively), F +/− R (19% and 15%, respectively), B +/− R (16% and 15%, respectively), and alkylating agents (3% and 23%, respectively). Patients in age groups 2 and 3 with ECOG PS score ≥ 1 received B +/− R regimen (33% and 22%, respectively), FCR (23% and 21%, respectively), F +/− R (14% and 10%, respectively) and alkylating agents (7% and 9%, respectively) as first-line therapy. Further description and clarification on the various treatment regimens based on the three age groups and by ECOG PS score will be presented at the meeting. Conclusion: The Connect® CLL Registry is the largest prospective, multicenter registry in the United States evaluating management for patients with CLL. With the currently available data, we characterize the extent to which age and performance status are associated with treatment selection in both first-line and subsequent lines of therapy in routine practice. As enrollment increases and additional follow-up is completed, the data will provide more extensive and real world overview of the current treatment strategies used in CLL patients. Disclosures: Sharman: Celgene - consulting: Consultancy; Pharmacyclics: Honoraria; Calistoga: Honoraria; Portola pharmaceuticals: Consultancy. Flowers:Consultancy: Celgene, Prescription Solutions, Spectrum (future), Seattle Genetics, Millennium (future), Genentech (unpaid): Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding. Weiss:Celgene: Consultancy. Grinblatt:Celgene: Honoraria, Speakers Bureau. Kay:Genenetech, Celgene, Hospira,: Research Funding. Kipps:Igenica: Equity Ownership, Membership on an entity's Board of Directors or advisory committees; Celgene: Consultancy, Research Funding; Abbot Industries: Research Funding; Pharmacyclics: Membership on an entity's Board of Directors or advisory committees; Genentech: Research Funding; GSK: Research Funding; Gilead Sciences: Research Funding; Amgen: Research Funding. Lamanna:Celgene Corporation: Advisory board. Pashos:United BioSource Corporation: Research Funding. Flinn:Celgene: Research Funding. Kozloff:Celgene: Consultancy. Lerner:Celgene Connect: Membership on an entity's Board of Directors or advisory committees. Swern:Celgene: Employment. Sullivan:Celgene: Employment. Street:Celgene: Employment. Keating:Celgene Connect: Membership on an entity's Board of Directors or advisory committees.

scholarly journals Treatment Patterns and Outcomes in Elderly Patients with Newly Diagnosed Multiple Myeloma: Results from the Connect® MM Registry

Blood ◽  
2019 ◽  
Vol 134 (Supplement_1) ◽  
pp. 3129-3129
Author(s):  
Hans C. Lee ◽  
Sikander Ailawadhi ◽  
Cristina Gasparetto ◽  
Sundar Jagannath ◽  
Robert M. Rifkin ◽  
...  
Keyword(s):  
Board Of Directors ◽  
Research Funding ◽  
Causes Of Death ◽  
Age Groups ◽  
Treatment Patterns ◽  
Age Group ◽  
Newly Diagnosed ◽  
Employment Equity ◽  
Advisory Committees ◽  
Equity Ownership

Background: Multiple myeloma (MM) is common among the elderly, with 35% of patients (pts) diagnosed being aged ≥75 years (y). With increasing overall life expectancy, the incidence and prevalence of newly diagnosed and previously treated MM patients ≥80 y is expected to increase over time. Because elderly pts are often excluded from clinical trials, data focused on their treatment patterns and clinical outcomes are lacking. The Connect® MM Registry (NCT01081028) is a large, US, multicenter, prospective observational cohort study of pts with newly diagnosed MM (NDMM) designed to examine real-world diagnostic patterns, treatment patterns, clinical outcomes, and health-related quality of life patient-reported outcomes. This analysis reviews treatment patterns and outcomes in elderly pts from the Connect MM Registry. Methods: Pts enrolled in the Connect MM registry at 250 community, academic, and government sites were included in this analysis. Eligible pts were adults aged ≥18 y with symptomatic MM diagnosed ≤2 months before enrollment, as defined by International Myeloma Working Group criteria; no exclusion criteria were applied. For this analysis, pts were categorized into 4 age groups: <65, 65 to 74, 75 to 84, and ≥85 y. Pts were followed from time of enrollment to the earliest of disease progression (or death), loss to follow-up, or data cutoff date of February 7, 2019. Descriptive statistics were used for baseline characteristics and treatment regimens. Survival outcomes were analyzed using Cox regression. Time to progression (TTP) analysis excluded causes of death not related to MM. Results: Of 3011 pts enrolled (median age 67 y), 132 (4%) were aged ≥85 y, and 615 (20%) were aged 75-84 y at baseline. More pts aged ≥85 y had poor prognostic factors such as ISS stage III disease and reduced hemoglobin (<10 g/dL or >2 g/dL <LLN) compared with other age groups, although no notable differences between creatinine and calcium levels were observed across age groups (Table). A lower proportion of elderly pts (75-84 and ≥85 y) received triplet regimens as frontline therapy. More elderly pts received a single novel agent, whereas use of 2 novel agents was more common in younger pts (Table). The most common frontline regimens among elderly pts were bortezomib (V) + dexamethasone (D), followed by lenalidomide (R) + D, whereas those among younger pts included RVD, followed by VD and CyBorD (Table). No pt aged ≥85 y, and 4% of pts aged 75-84 y received high-dose chemotherapy and autologous stem cell transplant (vs 61% in the <65 y and 37% in the 65-74 y age group). The most common maintenance therapy was RD in pts ≥85 y (although the use was low) and R alone in other age groups (Table). In the ≥85 y group, 27%, 10%, and 4% of pts entered 2L, 3L, and 4L treatments respectively, vs 43%, 23%, and 13% in the <65 y group. Progression-free survival was significantly shorter in the ≥85 y age group vs the 75-84 y age group (P=0.003), 65-74 y age group (P<0.001), and <65 y age group (P<0.001; Fig.1). TTP was significantly shorter in the ≥85 y group vs the <65 y group (P=0.020); however, TTP was similar among the 65-74 y, 75-84 y, and ≥85 y cohorts (Fig. 2). Overall survival was significantly shorter in the ≥85 y group vs the 75-84 y, 65-74 y, and <65 y groups (all P<0.001; Fig. 3). The mortality rate was lowest (46%) during first-line treatment (1L) in pts aged ≥85 y (mainly attributed to MM progression) and increased in 2L and 3L (47% and 54%, respectively); a similar trend was observed in the younger age groups. The main cause of death was MM progression (29% in the ≥85 y vs 16% in the <65 y group). Other notable causes of death in the ≥85 y group included cardiac failure (5% vs 2% in <65 y group) and pneumonia (5% vs 1% in <65 y group). Conclusions: In this analysis, elderly pts received similar types of frontline and maintenance regimens as younger pts, although proportions varied with decreased use of triplet regimens with age. Considering similarities in TTP across the 65-74 y, 75-84 y, and ≥85 y cohorts, these real-world data support active treatment and aggressive supportive care of elderly symptomatic pts, including with novel agents. Additionally, further clinical studies specific to elderly patients with MM should be explored. Disclosures Lee: Amgen: Consultancy, Research Funding; GlaxoSmithKline plc: Research Funding; Sanofi: Consultancy; Daiichi Sankyo: Research Funding; Celgene: Consultancy, Research Funding; Takeda: Consultancy, Research Funding; Janssen: Consultancy, Research Funding. Ailawadhi:Janssen: Consultancy, Research Funding; Takeda: Consultancy; Pharmacyclics: Research Funding; Amgen: Consultancy, Research Funding; Celgene: Consultancy; Cellectar: Research Funding. Gasparetto:Celgene: Consultancy, Honoraria, Other: Travel, accommodations, or other expenses paid or reimbursed ; Janssen: Consultancy, Honoraria, Other: Travel, accommodations, or other expenses paid or reimbursed ; BMS: Consultancy, Honoraria, Other: Travel, accommodations, or other expenses paid or reimbursed . Jagannath:AbbVie: Consultancy; Merck & Co.: Consultancy; Bristol-Myers Squibb: Consultancy; Karyopharm Therapeutics: Consultancy; Celgene Corporation: Consultancy; Janssen Pharmaceuticals: Consultancy. Rifkin:Celgene: Membership on an entity's Board of Directors or advisory committees; Takeda: Membership on an entity's Board of Directors or advisory committees; Amgen: Membership on an entity's Board of Directors or advisory committees. Durie:Amgen, Celgene, Johnson & Johnson, and Takeda: Consultancy. Narang:Celgene: Speakers Bureau. Terebelo:Celgene: Honoraria; Jannsen: Speakers Bureau; Newland Medical Asociates: Employment. Toomey:Celgene: Consultancy. Hardin:Celgene: Membership on an entity's Board of Directors or advisory committees. Wagner:Celgene: Consultancy, Membership on an entity's Board of Directors or advisory committees; American Cancer Society: Other: Section editor, Cancer journal. Omel:Celgene, Takeda, Janssen: Other: Patient Advisory Committees. Srinivasan:Celgene: Employment, Equity Ownership. Liu:TechData: Consultancy. Dhalla:Celgene: Employment. Agarwal:Celgene Corporation: Employment, Equity Ownership. Abonour:BMS: Consultancy; Celgene: Consultancy, Research Funding; Takeda: Consultancy, Research Funding; Janssen: Consultancy, Research Funding.

scholarly journals Patient Characteristics and Outcomes in Adolescents and Young Adults (AYA) with Acute Myeloid Leukemia (AML): Princess Margaret Cancer Centre Experience

Blood ◽  
2019 ◽  
Vol 134 (Supplement_1) ◽  
pp. 2609-2609
Author(s):  
Muhned Alhumaid ◽  
Georgina S Daher-Reyes ◽  
Wilson Lam ◽  
Arjun Law ◽  
Tracy Murphy ◽  
...  
Keyword(s):  
Board Of Directors ◽  
Older Patients ◽  
Myeloid Leukemia ◽  
Research Funding ◽  
Age Groups ◽  
Treatment Strategies ◽  
Patient Characteristics ◽  
Cancer Center ◽  
Advisory Committees ◽  
Disease Behavior

Introduction: Clinical outcomes of acute myeloid leukemia (AML) in adolescents and young adults (AYA) are rarely reported as an isolated subgroup. Treatments vary little across age groups, and treatment intensity depends upon comorbid conditions and performance status. Optimal treatment strategies focused on disease behavior, biological factors, and the distinct needs of this subset of AML patients remain elusive. The purpose of this retrospective analysis is to determine the characteristics and outcomes of AYA AML patients treated at a specialized adult leukemia cancer center in comparison to older adults with AML (40-60 years). Methods: A retrospective analysis was performed on all patients treated at Princess Margaret Cancer Center from 2008-2018. Patients with acute promyelocytic leukemia were excluded. Clinical characteristics, treatment strategies, and survival outcomes were recorded for all patients. Overall survival (OS) and disease-free survival (DFS) rates were calculated using the Kaplan-Meier product-limit method and the impact of covariates were assessed using the Log-rank test. Finally, we compared the outcomes of AYA patients treated at our centre between 2015-2018 with older patients. Results: A total of 175 patients aged 18-39 were identified. Patient characteristics are shown in (Table 1). Cytogenetic were available in 163 patients. Based on MRC criteria, 27 (16%) were favorable risk, intermediate in 95 (54%), adverse in 39 (22%), and missing/failed in 14(8%). NPM1 status was available in 110 patients of whom 38 (35%) were positive. FLT3-ITD was available in 67 patients with 24 (36%) positive. Both mutations were present in 13 (54%) patients. There were no significant differences in terms of risk stratification based on cytogenetic and molecular markers based on age (18-29 vs.30-39) (P= 0.98). Most patients 172 (98%) received induction, 157 (91%) with 3+7, and 15 (9%) with FLAG-IDA. Complete remission (CR) was achieved in 133 (77%) after first induction [120 (76%) after 3+7 and 11 (73%) after FLAG-IDA]. Induction related mortality was low (2%). Of the 39 who did not achieve CR, thirty-four patients received re-induction (13 FLAG-IDA, 16 NOVE-HiDAC, 5 others) with CR in 21 (62%). Overall, 154 (89.5%) achieved CR1. Sixty-four (42%) proceeded to hematopoietic stem cell transplantation (HSCT) in CR1. 59 (38%) patients relapsed in CR1 with 8 (12%) relapsing post HSCT. Fifty-five (5 post HSCT) patients received reinduction with 30 (51%) (2 after HSCT) achieving CR2. Fifteen patients received HSCT in CR2. OS and DFS at 2 years were 62% (95% CI 0.53-0.69) and 50% (95% CI 0.41-0.57), respectively. Stratified by cytogenetic risk, OS was 81% for favorable risk, 61% for intermediate, and 50% for adverse risk (P=0.0001), respectively. DFS in these groups was 85%, 57%, and 46 % (P=0.0025), respectively. We further compared outcomes in the 18-29y and 30-39y age groups. The OS was 61.9% compared to 62.5% (P=0.91) and DFS of 52.1% compared to 47% (P=0.65) respectively. On univariate analysis for OS and DFS, cytogenetic risk stratification was the only significant variable (P=0.0004 and P=0.0042). We then compared the outcomes 67 sequential patients aged I8-39 treated from 2014-2018, with those of 176 sequential patients aged 40-60 treated during the same period (table 2). OS at 2 years was not statistically higher in the younger group compared to the older group (66.7% vs. 61.2%, P=0.372). While relapse rate was lower in older patients (15.5% vs. 22.6%, P=0.093), NRM was higher in older patients (29.7% vs. 18.8%,P=0.094). Conclusion: AYA pts. occupy a unique niche amongst AML as a whole. While treatment responses have improved in general, there may be potential for further gains in these patients. Increased tolerance for more intense treatment strategies as well as the incorporation of novel agents into standard treatment protocols may provide a means to optimize care in AYA patients. Finally, research is needed to elucidate biological mechanisms and predictors of disease behavior instead of arbitrary, age-stratified treatment schema. Disclosures McNamara: Novartis Pharmaceutical Canada Inc.: Consultancy. Schimmer:Jazz Pharmaceuticals: Consultancy; Medivir Pharmaceuticals: Research Funding; Novartis Pharmaceuticals: Consultancy; Otsuka Pharmaceuticals: Consultancy. Schuh:Astellas: Honoraria, Membership on an entity's Board of Directors or advisory committees; AbbVie: Honoraria, Membership on an entity's Board of Directors or advisory committees; Pfizer: Honoraria, Membership on an entity's Board of Directors or advisory committees; Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees; Teva Canada Innovation: 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; Agios: Honoraria; Jazz: Honoraria, Membership on an entity's Board of Directors or advisory committees. Maze:Pfizer Inc: Consultancy; Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees. Yee:Astellas: Membership on an entity's Board of Directors or advisory committees; Millennium: Research Funding; Takeda: Membership on an entity's Board of Directors or advisory committees; Astex: Research Funding; Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Merck: Research Funding; Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; MedImmune: Research Funding; Pfizer: Honoraria, Membership on an entity's Board of Directors or advisory committees; Hoffman La Roche: Research Funding. Minden:Trillium Therapetuics: Other: licensing agreement. Gupta:Incyte: Honoraria, Research Funding; Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees; Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Sierra Oncology: Honoraria, Membership on an entity's Board of Directors or advisory committees.

scholarly journals Radioimmunotherapy for Mantle Cell Lymphoma: 5-Year Follow-up of 90 Patients from the International RIT-Registry

Blood ◽  
2019 ◽  
Vol 134 (Supplement_1) ◽  
pp. 5263-5263
Author(s):  
Karin Hohloch ◽  
Christine Windemuth-Kieselbach ◽  
Pier Luigi Zinzani ◽  
Roberto E. Cacchione ◽  
Wojciech Jurczak ◽  
...  
Keyword(s):  
Follicular Lymphoma ◽  
Mantle Cell Lymphoma ◽  
Board Of Directors ◽  
Research Funding ◽  
Cell Lymphoma ◽  
Primary Therapy ◽  
First Line ◽  
Advisory Committees ◽  
Mantle Cell

To assess the efficacy of radioimmunotherapy (RIT) with 90yttrium-ibrutinib-tiuxetan (90Y-IT) in mantle cell lymphoma, data from 90 patients registered in the RIT Network with a median follow-up (FU) of 5.5 years after RIT were evaluated. 90Y-IT was given as first-line therapy in 45 (50%) (consolidation 44 pts., primary therapy 1 pt.) and at relapse in 45 (50%) patients (consolidation 24 pts., recurrence 12 pts., therapy refractory 3 pts., conditioning 2 pts., other 4 pts.). As a first-line treatment, 30 patients (pts.) (67%) achieved CR, 10 pts. (22%) PR%., 1 pt. (2%) PD, and for 4 pts. (9%) no response data was available. At relapse, CR was achieved in 17 pts. (38%), PR in 6 pts. (13%), SD in 2 pts. (4%), and 6 pts. (13%) had PD, while the response was not documented for 14 pts. (31%). After a median FU of 5.5 years, median PFS for all patients was 2.11 (95%CI: 1.03-2.32) years, and median OS was 4.05 (95%CI 2.79-7.21) years. Eleven pts. (12.2%) developed second malignancy. In conclusion, this is the largest report of MCL pts. treated with 90Y-IT to date. 90Y-IT was most often used as consolidation after first- and second-line chemotherapy and may improve the results achieved using chemoimmunotherapy alone. However, the results are less encouraging compared to treatment with small molecules such as ibrutinib. Disclosures Zinzani: TG Therapeutics: Honoraria, Speakers Bureau; Kyowa Kirin: 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; Portola: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Celgene: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Immune Design: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Sandoz: Membership on an entity's Board of Directors or advisory committees; Servier: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; BMS: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Janssen-Cilag: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Gilead: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Celltrion: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Verastem: Consultancy, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; MSD: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Eusapharma: Consultancy, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Sanofi: Consultancy. Jurczak:Sandoz: Membership on an entity's Board of Directors or advisory committees, Research Funding; Loxo: Membership on an entity's Board of Directors or advisory committees, Research Funding; Takeda: Research Funding; Roche: Research Funding; AstraZeneca: Membership on an entity's Board of Directors or advisory committees, Research Funding; Celgene: Research Funding; Bayer: Research Funding; Gilead: Research Funding; MorphoSys: Research Funding; Incyte: Research Funding; Novo Nordisk: Research Funding; Servier: Research Funding; TG Therapeutics: Research Funding; Celtrion: Research Funding; Janssen: Membership on an entity's Board of Directors or advisory committees, Research Funding. Truemper:Seattle Genetics, Inc.: Research Funding; Takeda: Consultancy, Research Funding; Roche: Research Funding; Nordic Nanovector: Consultancy; Mundipharma: Research Funding; Janssen Oncology: Consultancy. Scholz:Janssen-Cilag: Consultancy; Hexal: Consultancy; Takeda: Consultancy; Novartis: Consultancy; Celgene: Consultancy; Pfizer: Speakers Bureau; Roche: Consultancy; GILEAD: Consultancy, Speakers Bureau; Daiichi Sankio: Consultancy. OffLabel Disclosure: Yttrium 90 (90Y) Ibritumomab Tiuxetan (Zevalin) is approved for treatment of patients with relapsed follicular lymphoma and as consolidation therapy after chemo(immuno)therapy of patients with follicular lymphoma.

Efficacy Outcomes of Treatments for Double Relapsed/Refractory Follicular Lymphoma (R/R FL): A Systematic Literature Review

Blood ◽  
2020 ◽  
Vol 136 (Supplement 1) ◽  
pp. 42-43
Author(s):  
Brad S. Kahl ◽  
Anik R. Patel ◽  
Omer Zaidi ◽  
Sonya J. Snedecor ◽  
Anna G. Purdum
Keyword(s):  
Clinical Trials ◽  
Follicular Lymphoma ◽  
Board Of Directors ◽  
Clinical Data ◽  
Research Funding ◽  
Treatment Options ◽  
Unmet Need ◽  
Progression Free Survival ◽  
Disease Stage ◽  
Advisory Committees

ABSTRACT Introduction: Patients with indolent non-Hodgkin lymphomas (iNHL), including follicular lymphoma (FL), have high response to first-line treatment. However, retreatment is often required when relapses occur, and those with multiple relapses represent a patient population with an unmet need for effective treatment. Clinical data for several treatment options exist for the general relapsed and refractory (R/R) population; however, there are relatively fewer data specific to FL patients with ≥2 lines of prior treatment. This work systematically identified the available efficacy data in the double R/R FL population. Methods: The MEDLINE and EMBASE databases were searched through February 10, 2020. Studies were limited to interventional clinical trials of R/R FL patients (or mixed histologies with a predominance of FL) and articles published in English. Studies also must have reported one or more efficacy measures, such as overall response rate (ORR), complete response (CR), duration of response (DoR), time to next treatment (TTNT), progression-free survival (PFS), and overall survival (OS). Potential interventions of interest were lenalidomide ± rituximab (R), duvelisib, ibrutinib, venetoclax, polatuzumab vedotin + R, obinutuzumab, copanlisib, umbralisib, idelalisib, and tazemetostat. Results: Of 35 publications examining treatment outcomes in R/R FL patients, only 14 (representing 5 unique clinical trials) were specific to the ≥ 2-line population. These trials were: CHRONOS Part B (copanlisib), DAWN (ibrutinib), DELTA (idelalisib), DYNAMO (duvelisib), and Morschhauser et al. 2019 (tazemetostat) and included a total of 605 participants. All studies used similar inclusion criteria, and patients included were similar in age (median 62-65), disease stage (III/IV), and ECOG score (0-2). Patients in the CHRONOS study had a median number of prior treatments of 2, whereas those in the DELTA study had 5. ORR ranged from 21% (ibrutinib) to 59% (copanlisib) (Table). The DoR ranged from 8.3 months in tazemetostat patients with EZH2 gene mutation to 19.4 months for ibrutinib. PFS ranged from 5.7 months in tazemetostat patients with wild-type EZH2 to 11.2 months for copanlisib. Median TTNT was only reported in the DAWN study (16 months). Conclusions: Very few clinical data exist reporting efficacy outcomes specific to the double R/R FL population. The limited data indicate that current treatments do not produce durable responses for most double R/R FL patients, demonstrating an unmet need. Further research is needed to fully understand the efficacy and safety of other potential interventions for this population. Disclosures Kahl: Genentech:Consultancy;Pharmacyclics LLC:Consultancy;AstraZeneca Pharmaceuticals LP:Consultancy, Membership on an entity's Board of Directors or advisory committees;ADC Therapeutics:Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding;Celgene Corporation:Consultancy;AbbVie:Consultancy;Roche Laboratories Inc:Consultancy;BeiGene:Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding;Janssen:Consultancy, Membership on an entity's Board of Directors or advisory committees;Acerta:Consultancy, Research Funding.Patel:Kite, a Gilead Company:Current Employment.Zaidi:BMS:Consultancy.Snedecor:Pharmerit - an OPEN Health Company:Other: Employment at consultancy paid by Kite Pharma to conduct this work.Purdum:Kite, a Gilead Company:Current Employment.

Variation in Health-Related Quality of Life by Age Among Patients with Chronic Lymphocytic Leukemia

Blood ◽  
2011 ◽  
Vol 118 (21) ◽  
pp. 2085-2085
Author(s):  
Chris L. Pashos ◽  
Christopher R Flowers ◽  
Mark Weiss ◽  
Nicole Lamanna ◽  
Charles M Farber ◽  
...  
Keyword(s):  
Board Of Directors ◽  
Research Funding ◽  
Age Groups ◽  
Lymphocytic Leukemia ◽  
Age Group ◽  
Employment Equity ◽  
Advisory Committees ◽  
Related Quality ◽  
Health Related ◽  
Equity Ownership

Abstract Abstract 2085 Introduction. Although advanced patient age is commonly used as a factor in selecting therapy for patients with chronic lymphocytic leukemia (CLL), based on presumed associations with functional status, limited data exist regarding the relationships between age and physical, emotional, social, and functional well being. We examined the relationships between age and these domains of health-related quality of life (HRQOL) for CLL patients treated in US community practices. Methods. Baseline data were collected as part of Connect CLL®, a prospective observational registry initiated in March 2010 involving centers in the US. Data on patient demographics and clinical characteristics were provided by clinicians. HRQOL was self-reported by patients in the clinic at enrollment. Patients completed 3 psychometrically validated instruments: the Brief Fatigue Inventory (BFI), EQ-5D, and Functional Assessment of Cancer Therapy-Leukemia (FACT-Leu). Standard analyses were conducted of each instrument given clinical characteristics at that time. Reported mean BFI, EQ-5D and FACT-Leu scores were analyzed by age group (<65, 65–74, >74). Statistical significance of score differences among sub-cohorts was ascertained by ANOVA using SAS 9.1. Results. Baseline HRQOL data were reported by 604 patients, enrolled from 161 centers. Patients were predominantly male (62%) and white (90%) with mean age at 69.9 (standard deviation [SD] 11.2) yrs. HRQOL scores by age group are presented: There were no significant differences between the age groups in fatigue as measured by the BFI, or differences in overall HRQOL as measured by the EQ-5D Visual Analogue Scale (VAS) or the FACT-G. Anxiety/depression and self care are EQ-5D domains that also did not vary by age. Although mobility was most impaired in the oldest age group compared to the two younger groups, usual activities and pain/discomfort were worse in both the younger and older cohorts compared to those 65–74 years of age. FACT-Leu results indicated that the social/family domain scores did not vary by age, but that physical, emotional, and functional domains did vary statistically with the oldest typically doing better than the 65–74 year olds, but not necessarily better than those <65. Conclusions. Initial results from the Connect CLL® Registry indicate that HRQOL does not worsen monotonically with older age. In this cohort, both the youngest and oldest age groups had worse HRQOL in certain domains, presenting an inverted v-shaped relationship. Future analyses should be conducted on: (1) how HRQOL may be affected over time with changes in disease; and, (2) how HRQOL may be influenced by alternative therapies. Results reported here should serve as a useful baseline reference. Disclosures: Pashos: Celgene: Membership on an entity's Board of Directors or advisory committees. Flowers:Genentech/Roche (unpaid): Consultancy; Celgene: Consultancy; Millennium/Takeda: Research Funding; Wyeth: Research Funding; Novartis: Research Funding. Weiss:Celgene: Membership on an entity's Board of Directors or advisory committees. Lamanna:Celgene: Membership on an entity's Board of Directors or advisory committees. Farber:Celgene: Membership on an entity's Board of Directors or advisory committees. Kipps:Igenica: Equity Ownership, Membership on an entity's Board of Directors or advisory committees; Celgene: Consultancy, Research Funding; Abbot Industries: Research Funding; Pharmacyclics: Membership on an entity's Board of Directors or advisory committees; Genentech: Research Funding; GSK: Research Funding; Gilead Sciences: Consultancy, Research Funding; Amgen: Research Funding. Lerner:Celgene: Membership on an entity's Board of Directors or advisory committees. Kay:Celgene: Membership on an entity's Board of Directors or advisory committees. Sharman:Celgene: Membership on an entity's Board of Directors or advisory committees. Grinblatt:Celgene: Membership on an entity's Board of Directors or advisory committees. Flinn:Celgene: Membership on an entity's Board of Directors or advisory committees. Kozloff:Celgene: Membership on an entity's Board of Directors or advisory committees. Swern:Celgene Corporation: Employment, Equity Ownership. Kahn:Celgene Corporation: Employment, Equity Ownership. Street:Celgene: Employment, Equity Ownership. Sullivan:Celgene: Employment, Equity Ownership. Keating:Celgene: Membership on an entity's Board of Directors or advisory committees.

Preliminary Results of a Phase 2 Study of PD 0332991 in Combination with Bortezomib and Dexamethasone in Patients with Relapsed and Refractory Multiple Myeloma

Blood ◽  
2011 ◽  
Vol 118 (21) ◽  
pp. 2940-2940
Author(s):  
Ruben Niesvizky ◽  
Luciano J Costa ◽  
Nisreen A. Haideri ◽  
Georg Hess ◽  
Seema Singhal ◽  
...  
Keyword(s):  
Cell Cycle ◽  
Board Of Directors ◽  
Research Funding ◽  
Phase 1 ◽  
Phase 2 ◽  
Advisory Committees ◽  
Oncology Research ◽  
Equity Ownership ◽  
D 20 ◽  
Ecog Ps

Abstract Abstract 2940 Background: PD 0332991 is an orally bioavailable selective inhibitor of cyclin-dependent kinase (CDK) 4/6. Inhibition of CDK4/6 phosphorylation of retinoblastoma (Rb) induces prolonged early G1 cell cycle arrest (pG1) and synchronous progression to S phase (pG1-S) upon withdrawal, which sensitizes human multiple myeloma (MM) cells to killing by bortezomib (B) or dexamethasone (D) in vitro and in animal models. Based on these observations, a phase 1/2 study in combination with B plus D in patients (pts) with relapsed and/or refractory MM was initiated. The phase 1 part of the study (completed) determined the recommended phase 2 dose and schedule to be PD 0332991 100 mg QD 12 days on followed by 9 days off treatment in a 21-day cycle with intravenous B 1.0 mg/m2 plus oral D 20 mg administered on Days 8 and 11 in pG1 and 15 and 18 in pG1-S (Niesvizky et al. ASH 2010). We present preliminary data from the phase 2 part of the study. Methods: Pts with Rb protein-positive, measurable (as defined by International Myeloma Working Group [IMWG]) progressive, relapsed or refractory MM after ≥1 prior treatment were eligible. Prior B was allowed only if there was a response and disease progression occurred off therapy. Pts received oral PD 0332991 once daily on Days 1–12 in a 21-day cycle in combination with intravenous B 1.0 mg/m2 plus oral D 20 mg administered on Days 8, 11, 15, and 18. The primary endpoint is overall response rate (ORR); secondary endpoints include time to progression (TTP), progression-free survival (PFS), overall survival, duration of response, and safety. PD 0332991-mediated inhibition of CDK4/6-specific phosphorylation of Rb (pSRb) and Ki67 in bone marrow MM cells were also assessed. The phase 2 part of the study is a Simon Two-Stage Minimax design; 25 response evaluable patients were to be enrolled into the first stage. Results: 39 pts have been tested for Rb and 36 pts (92%) were positive. Of the 36 pts, 30 pts have been enrolled to date including 2 pts who did not receive the study treatment, and 23 pts are considered response evaluable as of the data cut-off. 56% of pts had an Eastern Cooperative Oncology Group performance status (ECOG PS) of 1 and 8% had ECOG PS of 2. At baseline, median β2 microglobulin was 3.1 (range 1.6–26.2), median hemoglobin was 11.2 (7.2–13.6), median calcium was 9.4 (8.7–11.9). The median number of prior therapies was 2 (range 1–8); 55% had received prior B. Sixteen pts have discontinued (9 due to progressive disease, 3 due to AE, 2 consent withdrawal, and 2 not treated). The most common treatment-related AEs were thrombocytopenia (44%), nausea (20%), anemia, constipation, fatigue, and neutropenia (all 16%); 32% of pts reported grade ≥3 thrombocytopenia. IHC data showed on-treatment reduction in pSRb and Ki67 in MM cells from bone marrow of 3/3 patients with available samples. To date, 1 pt achieved a complete response (CR), 1 achieved a very good partial response (VGPR), 1 partial response (PR), 1 minor response (MR), and 5 stable disease (SD); 6 pts are too early for assessment. Conclusions: To date, the combination of PD 0332991 and B plus D has shown response in 4 pts with relapsed/refractory MM. The most commonly reported AEs were cytopenias, consistent with the known safety profiles of PD 0332991 and B. PD 0332991 inhibited phosphorylation of Rb and cell cycle progression in MM cells. The accrual to stage 1 is ongoing. Updated efficacy and safety data will be presented. Disclosures: Niesvizky: Millennium Pharmaceuticals: Consultancy; Millennium Pharmaceuticals: Research Funding; Millennium Pharmaceuticals: Membership on an entity's Board of Directors or advisory committees; Celgene: Membership on an entity's Board of Directors or advisory committees. Hess:Pfizer Oncology: Consultancy; Pfizer Oncology: Research Funding; Pfizer Oncology: Membership on an entity's Board of Directors or advisory committees. Spicka:Janssen-Cilag: Consultancy; Celgene: Consultancy; Celgene: Research Funding; Janssen-Cilag: Honoraria; Celgene: Honoraria; Janssen-Cilag: Membership on an entity's Board of Directors or advisory committees; Celgene: Membership on an entity's Board of Directors or advisory committees; Novartis: Membership on an entity's Board of Directors or advisory committees. Jakubczak:Pfizer Oncology: Employment; Pfizer Oncology: Equity Ownership. Kim:Pfizer Oncology: Equity Ownership; Pfizer Oncology: Employment. Randolph:Pfizer Oncology: Employment; Pfizer Oncology: Equity Ownership. Chen-Kiang:Pfizer Oncology: Research Funding.

Variation in Health-Related Quality of Life by ECOG Performance Status and Fatigue Among Patients with Chronic Lymphocytic Leukemia

Blood ◽  
2011 ◽  
Vol 118 (21) ◽  
pp. 4591-4591 ◽  
Author(s):  
Chris L. Pashos ◽  
Christopher R Flowers ◽  
Mark Weiss ◽  
Nicole Lamanna ◽  
Charles M Farber ◽  
...  
Keyword(s):  
Board Of Directors ◽  
Research Funding ◽  
Performance Status ◽  
Clinical Practices ◽  
Employment Equity ◽  
Ecog Performance Status ◽  
Advisory Committees ◽  
Equity Ownership ◽  
Ecog Ps ◽  
The Impact

Abstract Abstract 4591 Introduction: Clinicians and investigators appreciate the value of measuring HRQOL for monitoring CLL and the impact of treatments, and commonly use ECOG performance status (PS) and clinician-reported patient fatigue as surrogates for HRQOL in clinical practice. However, limited data exist on the relationships between PS, fatigue, and HRQOL in CLL patients (pts) undergoing treatment in clinical practices. We examined the associations between these measures and 3 psychometrically validated, patient-reported, HRQOL instruments: the Brief Fatigue Inventory (BFI), EQ-5D, and Functional Assessment of Cancer Therapy-Leukemia (FACT-Leu). Methods: Data were collected as part of Connect CLL®, a prospective observational registry initiated in March 2010 involving US practices. Data on pt demographics and clinical characteristics were provided by clinicians. HRQOL was self-reported by pts at enrollment using the BFI, EQ-5D, and FACT-Leu. Mean BFI, EQ-5D and FACT-Leu scores were analyzed by ECOG PS and clinician-reported fatigue. Differences in HRQOL scores between sub-cohorts were assessed by ANOVA. Results: HRQOL data were reported by 604 pts enrolled from 10 academic, 148 community, and 3 government centers. Pts were predominantly male (62%) and white (90%); mean age was 70 (standard deviation 11) years. BFI data (scale: 0 [no fatigue] - 10 [worst fatigue]) indicated that on average pts report that global fatigue, fatigue severity and fatigue-related interference worsen by ECOG severity (Table 1) and are statistically associated with clinician-reported fatigue (Table 2). Mean EQ-5D overall HRQOL as measured by a Visual Analogue Scale (VAS) from 0 (worst) to 100 (best) worsens by ECOG severity and is significantly worse in pts with fatigue. Mean EQ-5D domain scores (scale: 1 [no problem], 2 [some problems], 3 [incapacity]) indicated that pain/discomfort, mobility and usual activities increase in severity as ECOG worsens and in pts with fatigue. FACT-Leu domains except social/family were statistically worse with worse ECOG PS and in pts with fatigue. Conclusions: Initial results from Connect CLL® indicate that HRQOL worsens with worsening ECOG PS, especially in physical / functioning domains, pain/discomfort, and mobility, and worsens across multiple domains among pts whose physicians reported fatigue. Future analyses should be conducted on how HRQOL, PS and fatigue may change over time with changes in CLL, and how they are influenced by therapies. These results may serve as baseline reference. Disclosures: Pashos: Celgene: Membership on an entity's Board of Directors or advisory committees. Flowers:Genentech/Roche (unpaid): Consultancy; Celgene: Consultancy; Millennium/Takeda: Research Funding; Wyeth: Research Funding; Novartis: Research Funding. Weiss:Celgene: Membership on an entity's Board of Directors or advisory committees. Lamanna:Celgene: Membership on an entity's Board of Directors or advisory committees. Farber:Celgene: Membership on an entity's Board of Directors or advisory committees. Kipps:Igenica: Equity Ownership, Membership on an entity's Board of Directors or advisory committees; Celgene: Consultancy, Research Funding; Abbot Industries: Research Funding; Pharmacyclics: Membership on an entity's Board of Directors or advisory committees; Genentech: Research Funding; GSK: Research Funding; Gilead Sciences: Consultancy, Research Funding; Amgen: Research Funding. Lerner:Celgene: Membership on an entity's Board of Directors or advisory committees. Kay:Celgene: Membership on an entity's Board of Directors or advisory committees. Sharman:Celgene: Membership on an entity's Board of Directors or advisory committees. Grinblatt:Celgene: Membership on an entity's Board of Directors or advisory committees. Flinn:Celgene: Membership on an entity's Board of Directors or advisory committees. Kozloff:Celgene: Membership on an entity's Board of Directors or advisory committees. Swern:Celgene Corporation: Employment, Equity Ownership. Kahn:Celgene Corporation: Employment, Equity Ownership. Street:Celgene: Employment, Equity Ownership. Sullivan:Celgene: Employment, Equity Ownership. Keating:Celgene: Membership on an entity's Board of Directors or advisory committees.

Intervention Versus Observation: What Is the Appropriate Endpoint? Assessment of Endpoints in Patients with Advanced Stage Follicular Lymphoma Who Are Initially Observed

Blood ◽  
2016 ◽  
Vol 128 (22) ◽  
pp. 1777-1777 ◽  
Author(s):  
Jacob D Soumerai ◽  
Kurt S Bantilan ◽  
Ai Ni ◽  
Connie Batlevi ◽  
Anna Alperovich ◽  
...  
Keyword(s):  
Follicular Lymphoma ◽  
Board Of Directors ◽  
Research Funding ◽  
Tumor Burden ◽  
Advanced Stage ◽  
Advisory Committees ◽  
Kendall’S Tau ◽  
Kendall's Tau ◽  
Genetics Research ◽  
Asymptomatic Patients

Abstract BACKGROUND: Treatment may be safely deferred in asymptomatic patients with advanced stage, low tumor burden follicular lymphoma (FL) until onset of symptoms or organ failure without compromising overall survival (OS). A randomized trial comparing immediate rituximab vs. observation in this setting reported a Time to New Treatment benefit without a corresponding OS benefit (Ardeshna et al, Lancet Oncol 2014). This is a comparison of Time to 1st Treatment (TT1T, observation arm) vs. Time to 2nd Treatment (TT2T, rituximab arm) and thus biased to immediate intervention. TT2T might be a less biased primary endpoint for trials evaluating immediate intervention vs. observation. Time to Treatment n (TT(n)T) is a function of cumulative time spent from diagnosis in periods of observation, treatment, and remission, and TT(n)T approaches OS as n approaches the maximum number of therapies received, thus we also hypothesize that TT2T might be a surrogate for OS. We have therefore performed a comprehensive evaluation of standard endpoints (TT1T, OS, and EFS12), described TT2T as a novel endpoint for trials evaluating intervention vs. observation in asymptomatic patients with advanced stage, low tumor burden FL, and aimed to determine if TT2T is a reliable surrogate for OS. METHODS: We identified 246 consecutive patients at our institution, diagnosed from 1998 to 2007 with advanced stage, low tumor burden follicular lymphoma grade 1-3A, for whom physician intention at diagnosis was observation. Median time to event was calculated using the Kaplan-Meier method for each event: TT1T, TT2T, and OS. Modified Kendall's tau was used to assess the correlation between TT1T, TT2T, and OS, accounting for censoring in these quantities. Tests of modified Kendall's tau against 0 (i.e. no correlation) were performed. EFS12 was defined as non-death event within 12 months of initiation of first treatment, and median OS for EFS12 analysis was calculated from end of first treatment. Of 69 patients who received chemoimmunotherapy as first therapy following initial observation, the log-rank test was used to compare survival distributions by EFS12. RESULTS: Of 246 patients with advanced stage, follicular lymphoma grade 1-3A for whom physician intention at diagnosis was observation, there was a slight female predominance (1.16:1), 34.6% were above age 60 with a median age of 56.1 years (range 25-88), and 11.8% (29/246) developed histologic transformation prior to 1st/2nd therapy, including 7.7% (19/246) prior to 1st treatment. At a median follow-up of 10.9 years: median TT1T was 43.5 months (3.5-217.4+, 179 events), median TT2T was 151.8 months (range 5.2-219.6+, 101 events), and median OS was not reached (range 5.2-219.6+, 48 events). The modified Kendall's tau measuring correlation between TT1T and OS was 0.012 (p = 0.537), and was 0.078 (p < 0.001) between TT2T and OS, suggesting that TT2T is strongly correlated with OS while TT1T is not. Failure to achieve EFS12 was observed in 10.3% (7/68) and associated with inferior OS (p=0.001). Of 7 patients who failed to achieve EFS12, 3 had histologic transformation. CONCLUSIONS: TT2T is a preferred primary endpoint for clinical trials evaluating intervention vs. observation. In patients with advanced stage, low tumor burden FL who are initially observed, the median time from diagnosis to 2nd treatment is 12.7 years. Future trials evaluating the role of immediate therapy in low tumor burden FL might restrict eligibility to high risk patients expected to have inferior TT2T. Efforts are ongoing to develop biomarkers (e.g. m7-FLIPI) that identify a population enriched with high risk patients. Our data also suggest that TT2T might be a better surrogate for OS than TT1T, and analyses are ongoing to validate this finding. Figure 1 Figure 1. Disclosures Hamlin: Molecular Templates: Research Funding; Seattle Genetics: Research Funding; Portola: Research Funding; Gilead: Membership on an entity's Board of Directors or advisory committees; Novartis: Research Funding; Xencor: Membership on an entity's Board of Directors or advisory committees; Celgene: Membership on an entity's Board of Directors or advisory committees. Horwitz:Spectrum: Consultancy, Research Funding; Bristol-Myers Squibb: Consultancy; Huya: Consultancy; Infinity: Consultancy, Research Funding; Kyowa Hakka Kirin: Consultancy, Research Funding; Takeda: Consultancy, Research Funding; Seattle Genetics: Consultancy, Research Funding; Celgene: Consultancy; ADCT Therapeutics: Research Funding. Palomba:Pharmacyclics: Consultancy. Moskowitz:Merck: Membership on an entity's Board of Directors or advisory committees, Research Funding; Bristol-Myers Squibb: Membership on an entity's Board of Directors or advisory committees, Research Funding; Seattle Genetics: Membership on an entity's Board of Directors or advisory committees, Research Funding. Noy:Pharmacyclics, LLC, an AbbVie Company: Other: travel, accommodations, expenses, Research Funding. Kumar:Celgene: Research Funding; Pharmacyclics: Research Funding; Adaptive Biotechnologies: Research Funding; Seattle Genetics: Research Funding; Celgene: Honoraria, Other: Scientific Advisory Board. Zelenetz:Amgen: Consultancy; Takeda Pharma: Consultancy; Novartis: Consultancy; Nanostring Tech: Consultancy; Portola Pharmaceuticals: Consultancy; Adaptive Biotechnology: Consultancy; Bristol Myers: Research Funding; Boehringer Ingelheim: Other: DMC Membership; Janssen: Consultancy, Research Funding; Hospira: Consultancy; Celgene: Consultancy; Gilead: Consultancy, Research Funding; GSK: Consultancy, Research Funding; Genentech/Roche: Consultancy, Research Funding.

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