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7040 Background: At diagnosis, disease risk and transfusion burden (TB) can impact HRQoL in pts with MDS. The impact of disease status and higher transfusion requirements on HRQoL has not been well studied. We used data from the Connect Myeloid Disease Registry, an ongoing, prospective, observational cohort study that includes adult pts with lower-risk (LR) and higher-risk (HR) MDS, to investigate factors influencing baseline (BL) and subsequent HRQoL. Methods: BL and Month 6 (M6) data from pts enrolled from Dec 12, 2013 to Mar 6, 2020 (data cutoff) were analyzed. Pts were stratified by International Prognostic Scoring System (IPSS) risk (LR, HR), treatment (Tx) within 45 days post-enrollment (no Tx, best supportive care [BSC], active Tx), and TB 16 weeks post-BL (non-transfusion dependent [NTD], low TB [LTB]; 1−3 transfusions, high TB [HTB]: ≥4 transfusions). Pts completed EQ-5D, FACT-An trial outcome index (TOI), and FACT-Fatigue (FACT-F) questionnaires at BL and quarterly thereafter. Clinically meaningful change, based on minimally important differences, was defined as a change of ±0.07 for EQ-5D, ±6 for FACT-An TOI, and ±3 for FACT-F. Results: At data cutoff, 830 (489 LR, 341 HR) pts were enrolled. Median age was 74 years. 278 pts received no initial Tx, 161 BSC, and 378 active Tx. At BL, 470 were NTD, 197 LTB, and 163 HTB. Of 670 pts still on-study at M6, 462 completed the questionnaires at both BL and M6. At BL , clinically meaningful differences were observed in FACT-An TOI and FACT-F scores, but not EQ-5D, between LR- and HR-MDS and the Tx subgroups . From BL to M6, no clinically meaningful changes were observed in mean scores for each questionnaire. For the TB subgroups, meaningful differences were observed at BL in FACT-An TOI and FACT-F scores, but not EQ-5D (Table). From BL to M6, meaningful decreases in scores were reported by 26%, 30%, and 35% of NTD, LTB, and HTB pts in EQ-5D, 41%, 43%, and 48% for FACT-An TOI, and 40%, 42%, and 48% for FACT-F; increases were reported by 19%, 19%, and 20% pts for EQ-5D, 31%, 32%, and 39% for FACT-An TOI, and 30%, 39%, and 40% for FACT-F. Conclusions: This preliminary analysis suggests that pts with HR-MDS, and transfusion-dependent pts, generally had worse HRQoL at BL, providing further support to initiating active Tx in pts with TB. Possible limitations of the analysis are lower completion rates in pts with more severe disease, and EQ-5D may not capture changes in these subgroups at M6. A longer follow-up may help delineate the impact of Tx on HRQoL assessments in pts with MDS. Clinical trial information: NCT01688011. [Table: see text]

300 Background: Establishing an accurate LOT definition in real-world data (RWD) oncology studies is critical for measuring the effects of treatments on outcomes, which informs decisions made by clinicians, regulators, and payers. However, measuring LOT in RWD analyses is challenging and varies across disease states. LOT is generally defined by treatment (tx) start and stop dates. When available, the date of disease progression (PD) can be used to enhance the LOT definition. We explored the analytical impact of varying LOT definitions on 2L survival outcomes. Methods: A retrospective analysis of patients (pts) with mPC treated in US community practices was conducted using the Flatiron Health EHR–derived database. Two algorithms were applied to define LOT: tx change or ≥ 60-day gap in tx (LOTtx) and tx change after first PD (LOTpd). The impact on 1L and 2L sample sizes as well as 2L overall survival (OS) and progression-free survival (PFS) were assessed. Results: 251 pts with an mPC diagnosis between 01 March and 31 October 2015, who initiated chemotherapy ≤ 60 days after mPC diagnosis, were analyzed. Applying the LOTtx definition, 121 pts received 1L tx only and 130 received a 2L tx. Using the LOTpd definition, 145 pts received 1L tx only and 105 received a 2L tx (12 pts were excluded due to unclear time of PD relative to tx). Applying these definitions to time-to-event analyses (from start of 2L therapy) revealed longer 2L OS with LOTtx vs LOTpd (n = 130 vs 105; median 2L OS [95% CI], 5.4 [4.1-7.4] versus 4.5 [3.7-7.3] mo) but similar 2L PFS (n = 122 vs 105; median 2L PFS [95% CI], 2.8 [2.3-3.5] versus 2.8 [2.3-3.6] mo). Conclusions: In this analysis, inclusion of PD in the LOT definition impacted 1L and 2L sample sizes and 2L survival results. In aggressive diseases like mPC, a 1-mo difference in OS estimates is clinically meaningful and may influence treatment decisions. The choice of LOT definition should be based on the research question at hand, available data, and the effort to decrease misclassification bias. Additional LOT definitions, with associated strengths and limitations, will also be presented.

7037Background: Historically, only about 40% of AML pts ≥ 65 y of age receive first-line therapy (1LTx) due to high adverse event and low 5-y survival rates. With the introduction of new agents to ...

8041Background: Real-world longitudinal data on tx sequencing & outcomes are limited. The Connect MM Registry is a US, multicenter, prospective observational cohort study designed to examine diagno...

8023 Background: t(11;14) is a common cytogenetic abnormality historically associated with standard-risk and generally favorable MM outcomes, but has shown poor prognosis in some retrospective analyses. Connect MM is a prospective, US, observational, multicenter registry that collects data on management and natural history of NDMM pts in clinical practice. The impact of t(11;14) on survival outcomes was assessed in AA and NAA pts. Methods: Adult NDMM pts who completed induction and were tested for t(11;14) by FISH/cytogenetics were grouped by race (AA vs NAA). Endpoints were PFS and OS. Kaplan-Meier analyses were adjusted for differences in cohort, age, ISS stage, transplant intent, t(4;14), hemoglobin, platelets, calcium, creatinine, and diabetes history. Data cutoff was Jul 7, 2016. Results: 3011 pts were enrolled in 2 cohorts (Cohort 1: n = 1493, Sep 2009–Dec 2011, median follow-up = 39.3 mos; Cohort 2: n = 1518, Dec 2012–Apr 2016, median follow-up = 16.4 mos). Of 1539 (52%) pts tested for t(11;14), 363 (24%) were t(11;14)-positive, including 53 (26%) of 205 AA and 310 (23%) of 1334 NAA pts. First-line bortezomib exposure was similar across groups. A trend of shorter PFS was observed in AA pts with t(11;14) vs AA without t(11;14) (Table). AA pts with t(11;14) had significantly higher risk of death compared to those without t(11;14) and higher rate of early mortality than NAA pts. No differences in PFS or OS were noted in NAA pts with or without t(11;14). For OS, the interaction between race and t(11;14) status was statistically significant ( P= 0.004). Conclusions: In Connect MM, the effect of t(11;14) on OS was significantly different between AA and NAA pts. t(11;14) was associated with poorer survival outcomes in AA pts, and thus, may be a risk factor for poor prognosis. Additional analyses will be conducted to elucidate the role of induction treatment, transplant and maintenance in AA and non-AA pts with t(11;14). Clinical trial information: NCT01081028. [Table: see text]

7013 Background: Genetic aberrations detected by fluorescence in situ hybridization (FISH) and cytogenetic (CG) testing provide prognostic information for CLL pts. The identification of genetic abn...