ALBERT

Description: Acute lymphoblastic leukemia (ALL) has a high relapse rate in adults. While the biology of the patient may be responsible for the marked difference in survival seen in comparison to children, variable adherence to complex chemotherapy regimens may also play a role. However, there is very little understanding about the risk factors for delays in therapy and the impact of delays on survival. To study delays in newly diagnosed adult ALL patients, we conducted an observational study using data from ECOG 2993/ MRC_UKALLXII (Rowe, Blood 2005). We analyzed Ph- patients who started intensification after documented complete remission (CR). A long delay (LD) was defined as 〉 98 days from start of induction to start of intensification (IS), which was 〉2 weeks delay beyond the 84 days recommended per protocol. A Very Long Delay (VLD) was defined as a 〉4 weeks delay. Of 2109 patients enrolled, 1247 patients met inclusion criteria for analysis. Of note, 435 Ph- patients who achieved CR after induction but did not proceed to intensification were excluded. In univariate analysis, female sex (p

Description: Introduction: Salvage immunochemotherapy (IC) followed by high-dose chemotherapy with autologous stem cell transplantation (autoSCT) is standard-of-care second-line therapy (2L) for patients with relapsed or refractory (R/R) diffuse large B cell lymphoma (DLBCL) deemed fit for autoSCT as per the CORAL study (J Clin Oncol. 2010 Sep 20;28(27):4184-90). Optimal therapeutic management of patients with R/R DLBCL who are autoSCT-ineligible is unknown. Here we describe the real-world outcomes of patients with R/R DLBCL who receive palliative intent 2L therapy in community and academic settings and do not receive autoSCT. Methods: This analysis includes de-identified patients from the nationwide Flatiron Health electronic health record-derived database with a histologic diagnosis of DLBCL and R/R disease after frontline IC who do not undergo autoSCT and receive treatment with either bendamustine-based therapy, gemcitabine-based therapy, lenalidomide, or ibrutinib. Patients receiving rituximab/ifosfamide/carboplatin/etoposide (R-ICE) and high-dose cytarabine-containing second-line therapies were excluded. Event free survival (EFS) was defined as the interval between the start of current therapy and start of subsequent therapy if needed, last follow-up on current therapy, or death on therapy. Overall survival (OS) was defined as the time between start of current therapy and death or last follow-up while alive. Results: A total of 250 patients were eligible for inclusion in 2L. Eight patients received autoSCT after gemcitabine therapy and were excluded from this analysis. Clinicopathologic characteristics at time of diagnosis include 56% male, 87% age 〉60, 55% ECOG performance status 〉1, 87% stage III-IV disease, 78% IPI 〉2, 56% germinal center (GCB) of those with cell of origin testing performed, 9% cMYC rearrangement positive when tested, and 29% transformed from indolent disease. A total of 106, 78, 36, and 22 patients received bendamustine, gemcitabine, lenalidomide, and ibrutinib, respectively. For all patients, median EFS was 5.1 months and median OS was 14.3 months in 2L. Median EFS was 7.6, 2.4, 9.1, and 4.2 months, and median OS was 16.0, 9.4, 16.3, and 11 months for bendamustine, gemcitabine, lenalidomide, and ibrutinib in 2L, respectively. Patients receiving bendamustine and lenalidomide demonstrated significantly improved EFS compared to those receiving gemcitabine (p=0.001 and 0.01, respectively), see Figure 1. We observed no difference in EFS (p=0.40) or OS (p=0.89) between lenalidomide and bendamustine in 2L. Univariate analysis demonstrated receipt of gemcitabine, ECOG PS〉1, and IPI 〉2 to have statistically significant increased hazard for treatment failure and ECOG PS〉1 to have an increased hazard for death in 2L relative to the reference group. Multivariate analysis demonstrated receipt of gemcitabine (HR 1.57, p=0.03 95% CI: 1.04 - 2.37) and ECOG PS〉1 (HR 1.61, p=0.02 95% CI: 1.09-2.38) were associated with an increased hazard for treatment failure in 2L. Median EFS for patients on lenalidomide was 6.7 and 8 months (p=0.26), and median OS was 13.9 and 12.2 months (p =0.48) for patients with nonGCB and GCB cell of origin, respectively. Conclusions: For patients with R/R DLBCL treated with palliative therapy in the 2L, bendamustine- and lenalidomide-based therapies resulted in significantly longer EFS compared to gemcitabine therapy. Although we cannot exclude the possibility that some patients received gemcitabine in 2L with the original intent to proceed with autoSCT, this does not contest our results as this therapy remains inferior to bendamustine and lenalidomide even if given to a potentially more fit patient population. Analysis shows no difference in outcomes by cell of origin if receiving lenalidomide in 2L. These findings may serve as benchmarks for outcomes following receipt of these therapies in the non-investigational setting and suggest both bendamustine and lenalidomide may be considered reasonable standard-of-care therapies for patients unfit for autoSCT in the 2L setting. Figure 1 Disclosures Landsburg: Celgene: Membership on an entity's Board of Directors or advisory committees; Triphase: Research Funding; Celgene: Membership on an entity's Board of Directors or advisory committees; Curis, INC: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Curis, INC: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Seattle Genetics: Speakers Bureau; Seattle Genetics: Speakers Bureau; Triphase: Research Funding; Takeda: Research Funding; Takeda: Research Funding. OffLabel Disclosure: Outcomes with lenalidomide and ibrutinib in patients with relapsed/refractory DLBCL will be discussed.

Description: Introduction: Older patients with high-risk myeloid malignancies are now eligible for either induction chemotherapy (IC) or novel treatment strategies including liposomal cytarabine and daunorubicin (Vyxeos) or hypomethylating agent (HMA)/venetoclax. Vyxeos and HMA/venetoclax may be associated with less early mortality, but no trials have demonstrated significantly less mortality compared to IC. In this context, we need a better tool to determine a patient's risk of early mortality by strategy in order to inform therapy selection for older patients. The current methods to assess a patient's fitness for IC are the Eastern Cooperative Oncology Group (ECOG) or Karnofsky Performance Status (KPS) assessments, clinician subjective evaluations [i.e. gestalt (CG)], and often age itself (〉75-80 years). None of these include objective measures of fitness. The Fried frailty phenotype (FP) uses both subjective (exhaustion and activity level) and objective measures (weight loss, gait speed, and grip strength) of frailty to categorize patients into fit, pre-frail, and frail. We hypothesized that FP would correlate with early mortality in this population and could be used to guide initial treatment selection. Methods: From September, 2018 to June, 2019 we prospectively enrolled 30 patients age 60 years or older with newly diagnosed, untreated acute myeloid leukemia (AML) or high-risk myelodysplastic syndrome (MDS) on an ongoing institutional review board approved clinical trial. We performed FP, CG, hematopoietic cell transplantation-comorbidity index (HCT-CI), and ECOG assessments on all patients prior to initiation of any therapy for their high grade myeloid disease. The primary endpoints were 60 and 100-day mortality. Results: Median patient age and follow up were 70.9 (range 61-82) years and 111 days, respectively. Patients had high-risk disease features as shown in Table 1, with the vast majority of AML patients being adverse risk by European Leukemia Network criteria and all MDS patients being high or very high-risk by the Revised International Prognostic Scoring System. The most common molecular mutations were TP53, ASXL1, RUNX1, IDH1/2, FLT3, and DNMT3A. IC consisting of either 7+3 or Vyxeos was used in 11 patients, HMA alone or in combination in 16, targeted therapy with enasidenib alone in 1, and best supportive care (BSC) in 2 (Table 1). Four patients who were frail by FP received IC (3 with Vyxeos). By FP assessments, 17% of patients were fit (score 0), 33% were pre-frail (score 1-2), and 50% were frail (score 3-5). In contrast, CG categorized 37% of patients as fit, 30% as pre-frail, and 33% as frail. Seven of 15 frail patients by FP were categorized as pre-frail or fit by CG. FP and ECOG scores also differed with 7 patients having low-risk ECOG scores of 0-1 and a high-risk FP of ≥3 (frail). For entire cohort, 60- and 100-day mortality rates were 15% and 25%, respectively. Frail patients by FP had 60-day and 100-day mortality rates of 32% and 51%, respectively, which was significantly worse than fit and pre-frail patients, all of whom were alive at 100 days (Figure 1/2, p=.016). Of the 6 out of 15 FP frail patients who died, 1 received a HMA alone, 3 HMA with venetoclax, and 2 BSC. In patients with ECOG scores of 0-1 or those categorized as fit by CG, 100-day mortalities were 8% and 10%, respectively. Mortality for patients with HCT-CI scores of 1-2 was unexpectedly higher (34% at both 60 days and 100 days) than for patients with higher risk HCT-CI scores ≥3 (13% and 29%, respectively). Conclusion: In newly diagnosed older patients with advanced myeloid neoplasms, being frail by FP was associated with increased 60 and 100-day mortality, owing to high mortality rates with HMA based therapies. While HCT-CI scores have been significantly associated with mortality after allogeneic transplantation, we observed that these scores were not linearly associated with survival or mortality in newly diagnosed AML and high/very-high risk MDS patients. By ECOG and CG, even the low risk groups contained patient deaths, suggesting that these standard metrics may not capture certain at-risk patients. CG tended to down grade frailty scores, categorizing patients as fitter than they were by FP. As such, FP may be a useful tool to predict early mortality. Further research is warranted to determine whether mortality differs by treatment within a given FP category, which may support the use of FP to select initial therapy. Disclosures Frey: Novartis: . Gill:Novartis: Research Funding; Tmunity Therapeutics: Research Funding; Carisma Therapeutics: Research Funding; Amphivena: Consultancy; Aro: Consultancy; Intellia: Consultancy; Sensei Bio: Consultancy; Carisma Therapeutics: Equity Ownership. Perl:Bayer: Research Funding; BioMed Valley Discoveries: Research Funding; FujiFilm: Research Funding; Novartis: Honoraria, Other: Advisory board, Non-financial support included travel costs for advisory board meetings as well as a medical writing company that assisted with manuscript preparation/submission and slide deck assembly for academic meeting presentations of the data., Research Funding; Jazz: Consultancy, Honoraria, Other: Non-financial support included travel costs for advisory board meetings.; NewLink Genetics: Consultancy, Honoraria, Other: Non-financial support included travel costs for advisory board meetings.; Takeda: Consultancy, Honoraria, Other: Non-financial support included travel costs for advisory board meetings.; Astellas: Consultancy, Honoraria, Other: Non-financial support included travel costs for advisory board meetings as well as a medical writing company that assisted with manuscript preparation/submission and slide deck assembly for academic meeting presentations of trial data., Research Funding; Agios: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Non-financial support included travel costs for advisory board meetings.; Daiichi Sankyo: Consultancy, Honoraria, Other, Research Funding; Arog: Consultancy, Other: Non-financial support included travel costs for advisory board meetings.; AbbVie: Consultancy, Honoraria, Other: Non-financial support included travel costs for advisory board meetings.; Actinium Pharmaceuticals: Consultancy, Honoraria, Other: Clinical Advisory Board member, Research Funding. Maillard:Genentech: Consultancy; Regeneron: Consultancy. Pratz:Millenium/Takeda: Research Funding; AbbVie: Membership on an entity's Board of Directors or advisory committees, Research Funding; Agios: Membership on an entity's Board of Directors or advisory committees, Research Funding; Astellas: Membership on an entity's Board of Directors or advisory committees, Research Funding. Porter:Kite: Membership on an entity's Board of Directors or advisory committees; Novartis: Membership on an entity's Board of Directors or advisory committees, Patents & Royalties, Research Funding; Incyte: Membership on an entity's Board of Directors or advisory committees; Glenmark Pharm: Membership on an entity's Board of Directors or advisory committees; Immunovative: Membership on an entity's Board of Directors or advisory committees; American Board of Internal Medicine: Membership on an entity's Board of Directors or advisory committees; Wiley and Sons: Honoraria; Genentech: Employment. Carroll:Astellas Pharmaceuticals: Research Funding; Incyte: Research Funding; Janssen Pharmaceuticals: Consultancy. Luger:Seattle Genetics: Research Funding; Biosight: Research Funding; Ariad: Research Funding; Agios: Honoraria; Genetech: Research Funding; Daichi Sankyo: Honoraria; Onconova: Research Funding; Kura: Research Funding; Jazz: Honoraria; Celgene: Research Funding; Cyslacel: Research Funding; Pfizer: Honoraria.

Description: Background: Accurate prediction of response to induction chemotherapy and survival is essential for improving care of AML patients. Established prognostic schemes in AML are based on 1) clinical features and 2) pre-treatment karyotype. More recently molecular markers have been shown to be of prognostic importance. Correlation between DNA methylation in leukemic cells and clinical prognosis has been described but is not assessed routinely in clinical practice due to lack of a clinical assay. Here we report the ability of a novel, clinically feasible assay of DNA methylation status to predict clinical outcomes in AML patients. Methods: A novel microsphere-based assay for multiplex evaluation of DNA methylation (xMELP) was used to simultaneously measure methylation status at multiple prognostic loci in banked AML samples. A methylation risk score (M score) was assigned to each sample using a 17-locus random forest classifier developed using an independent cohort. Cytogenetic risk was assigned to each sample using the MRC schema (Grimwade et al. Blood 2010). The primary clinical endpoints were failure to achieve complete remission (CR) within 90 days of induction and death before 2-years (2-year death). The receiver operating characteristic (ROC) curve was used to evaluate the performance of the M-score as prognostic biomarker. Univariate and multivariate logistic models were used to assess the ability of the M-score to predict 2-year death in combination with co-variates. Results: This study included 101 patients with de novo AML age 〈 60 years with diagnostic samples available for xMELP analysis who underwent induction therapy at the University of Pennsylvania (2001-2012). The median age was 48 years (range 19-59), the median WBC count at diagnosis was 34.5 K/uL (range .8 -283.5 K/uL; 20% ≥100K/uL), and 55% were male. The majority of patients had intermediate cytogenetic risk (13% favorable, 65% intermediate, 18% unfavorable, 4% unknown). Among the study patients, 25% did not achieve CR and 52% died within 2 years of diagnosis. The mean M-scores for the entire population were 84.6 (SD 30.3) versus 104.9 (SD 29.3) for those who achieved and failed to achieve CR, respectively (p=.004) while the mean M-scores were 77.5 (SD 24.7) versus 100.5 (SD 32.7) for those alive and dead at 2 years, respectively (p=.002). Within the intermediate cytogenetic risk group, results were similar: the mean M-scores were 87.3 (SD 31.8) versus 105.1 (SD 29.6) for those who achieved and failed to achieve CR, respectively (p=.06) and the mean M-scores were 78.9 (SD 25) versus 101.2 (SD 33.9) for those alive and dead at 2 years, respectively (p=.004). The M-score was not associated with sex or WBC at diagnosis, but it differed significantly among the 4 cytogenetic risk groups (ANOVA p=.01) with a higher M-score in less favorable cytogenetic groups. The area under the ROC curve (AUC) was .69 for failure to achieve CR (95% CI .58-.80) and .71 (95% CI .61-.81) for 2-year death. For AML patients with intermediate cytogenetic risk, the AUC was .66 (95% CI .52-.80) for failure to achieve CR and .70 (95% CI .57 to .82) for 2-year death. For the cohort overall, the odds ratios for failure to achieve CR and 2-year death were 1.02 (p=.007) and 1.03 (p=.001), respectively, indicating that every 1-point rise in the M-score resulted in a 2% higher chance of not achieving CR and a 3% greater chance of dying by 2 years. We investigated the ability of the M-score to predict 2-year death in combination with other prognostic co-variates. Adding age, diagnostic WBC count, and cytogenetic risk to the prognostic model did not improve prediction of 2-year death. A model incorporating M-score and CR did predict 2-year death better than M-score alone (AUC .80 versus AUC .71, p=.005). Results were similar when restricting analysis to intermediate cytogenetic risk group (AUC .77 versus AUC .70, p=.048). Conclusion: There is a clinical need for predictive biomarkers in AML. Here, we show that a novel method of measuring methylation in AML predicts failure to achieve CR and likelihood of death within 2 years. A model incorporating methylation and remission status was better for prediction of 2-year death than a model with only methylation information. Although validation in additional cohorts is necessary, these results demonstrate the feasibility and benefit of clinical application of a multiplex DNA methylation assay to survival prognostication in AML. Disclosures No relevant conflicts of interest to declare.