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Abstract Background: Lenalidomide with dexamethasone (Rd) is a standard of care used for pts with relapsed multiple myeloma (RMM). The randomized, open-label, multicenter, phase 3 study ASPIRE (NCT01080391) is comparing carfilzomib, lenalidomide, and dexamethasone (KRd) to Rd in pts with RMM. The primary end point is progression-free survival (PFS; assessed by an independent review committee). Secondary end points include overall survival (OS), overall response rate (ORR), duration of response (DOR), health-related quality of life (EORTC QLQ-C30 Global Health Status/QoL), and safety. Methods: Adults with RMM who received 1–3 prior regimens were eligible. Pts were randomized (1:1) to receive KRd or Rd and were stratified by β2-microglobulin levels (<2.5 vs ≥2.5 mg/L), prior bortezomib (no vs yes), and prior R (no vs yes). All pts received lenalidomide (25 mg) on days 1–21 and dexamethasone (40 mg) on days 1, 8, 15, and 22 of a 28-day cycle. In addition, KRd pts received K as a 10-min infusion on days 1, 2, 8, 9, 15, and 16 during cycles 1–12 (20 mg/m2 [days 1 and 2 of cycle 1]; 27 mg/m2 thereafter); K was omitted on days 8 and 9 during cycles 13–18 and was not administered beyond 18 cycles. Cycles were repeated until disease progression, unacceptable toxicity, or withdrawal of consent. The study had 90% power to detect a 25% reduction in risk for PFS events for KRd vs Rd (hazard ratio [HR]=0.75) at a 1-sided significance level of 0.025. A stratified log-rank test was used for the PFS comparison. Results: Data are presented for KRd followed by Rd throughout the abstract. Between July 2010 and March 2012, 792 pts from 20 countries were randomized. Baseline characteristics were balanced between the 2 groups. Median age was 64.0 years (range: 31.0‒91.0). Pts received a median of 2 prior regimens in each group. In both the KRd and Rd groups, 66% of pts received prior bortezomib; 20% of pts in each arm received prior R. Median treatment exposure was 22 cycles (KRd) and 14 cycles (Rd). At the time of the prespecified interim analysis, the study met the primary end point for PFS (HR=0.69; 95% confidence interval [CI]: 0.57–0.83; P<.0001), with a longer duration of median PFS in the KRd group (26.3 months [mo]; 95% CI: 23.3–30.5) compared with the Rd group (17.6 mo; 95% CI: 15.0–20.6). Median OS was not reached in either group; however, there was a trend toward longer OS with KRd compared with Rd (HR=0.79; 95% CI: 0.63–0.99; P=.018), which did not meet the prespecified statistical boundary at the interim analysis of survival (P=.005). The Kaplan-Meier OS event-free rates at 24 mo were 73.3% (95% CI: 68.6‒77.5) and 65.0% (95% CI: 59.9‒69.5). The ORR was 87.4% (95% CI: 83.7–90.5) with KRd and 66.9% (95% CI: 62.0–71.5) with Rd. Median DOR was 28.6 mo (95% CI: 24.9–31.3) and 21.2 mo (95% CI: 16.7–25.8). In the KRd and Rd groups, 31.8% vs 9.4% achieved a stringent complete response (sCR) or complete response (CR) (sCR: 14.1% vs 4.3%; CR: 17.7% vs 5.1%), and 70.4% and 40.7% achieved ≥very good partial response. KRd consistently improved Global Health Status/QoL compared with Rd over 18 cycles of treatment (P=.0001). Treatment discontinuation due to an adverse event (AE) occurred in 15.2% (KRd) and 17.4% (Rd) of pts. In each group, 7.7% and 8.5% of pts died while still on study treatment or within 30 days of receiving the last dose of study treatment. The most common hematologic treatment-emergent AEs (TEAEs) (≥grade 3) included neutropenia (29.6% vs 26.5%), anemia (17.9% vs 17.2%), and thrombocytopenia (16.6% vs 12.3%). The most common nonhematologic TEAEs (all grade) included diarrhea (42.3% vs 33.7%), fatigue (32.9% vs 30.6%), and cough (28.8% vs 17.2%). The most common nonhematologic TEAEs (≥grade 3) included pneumonia (12.5% vs 10.5%), hypokalemia (9.4% vs 4.9%), and hypophosphatemia (8.4% vs 4.6%). Other TEAEs of interest (grouped terms; all grade) included dyspnea (22.4% vs 18.0%), hypertension (preferred term; all grade: 14.3% vs 6.9%; grade 3: 4.3% vs 1.8%), acute renal failure (8.4% vs 7.2%), cardiac failure (6.4% vs 4.1%), and ischemic heart disease (5.9% vs 4.6%). Rates of peripheral neuropathy (PN) (grouped terms; all grade) were 17.1% and 17.0%; ≥grade 3 PN was infrequent (2.6% and 3.1%). Conclusion: The addition of carfilzomib to lenalidomide and dexamethasone in pts with RMM resulted in a statistically significant and clinically meaningful improvement in PFS. KRd had an acceptable safety and tolerability profile and represents a potential new standard of care. Disclosures Stewart: Novartis: Consultancy; Array BioPharma: Consultancy; BMS: Consultancy; Millenium: Research Funding; Celgene: Consultancy. Off Label Use: Carfilzomib is approved in the United States for the treatment of patients with multiple myeloma who have received at least two prior therapies including bortezomib and an immunomodulatory agent and have demonstrated disease progression on or within 60 days of completion of the last therapy. ASPIRE is a randomized, multi-center, phase 3 study investigating the use of carfilzomib in combination with lenalidomide and dexamethasone for the treatment of patients with relapsed multiple myeloma who have received 1–3 prior regimens.. Dimopoulos:Celgene: Consultancy, Honoraria; Onyx: Consultancy, Honoraria. Masszi:Janssen Cilag: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau. Spicka:Janssen-Cilag: Consultancy, Honoraria, Research Funding, Speakers Bureau; Novartis: Consultancy, Honoraria, Research Funding, Speakers Bureau; Celgene: Consultancy, Honoraria, Research Funding, Speakers Bureau. Oriol:Celgene: Consultancy, Speakers Bureau; Janssen: Consultancy, Speakers Bureau. Hájek:Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees; Janssen: Honoraria, Membership on an entity's Board of Directors or advisory committees; Merck: Honoraria, Membership on an entity's Board of Directors or advisory committees; Onyx: Honoraria, Membership on an entity's Board of Directors or advisory committees. Rosiñol:Celgene: Honoraria; Janssen: Honoraria. Siegel:Onyx: Honoraria, Speakers Bureau; Celgene: Honoraria, Speakers Bureau; Millennium: Honoraria, Speakers Bureau. Niesvizky:Onyx Pharmaceuticals: Consultancy, Research Funding, Speakers Bureau; Millennium: Consultancy, Research Funding, Speakers Bureau; Celgene: Consultancy, Research Funding, Speakers Bureau. Jakubowiak:Onyx Pharmaceticals: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau. San Miguel:Celgene: Membership on an entity's Board of Directors or advisory committees; Novartis: Membership on an entity's Board of Directors or advisory committees; Onyx: Membership on an entity's Board of Directors or advisory committees; Janssen: Membership on an entity's Board of Directors or advisory committees; BMS: Membership on an entity's Board of Directors or advisory committees; MSD: Membership on an entity's Board of Directors or advisory committees; Millinnium: Membership on an entity's Board of Directors or advisory committees. Ludwig:Celgene: Research Funding, Speakers Bureau; Takeda Celgene: Research Funding, Speakers Bureau; Bristol-Myers: Research Funding, Speakers Bureau. Zojwalla:Onyx Pharmaceticals, an Amgen subsidiary: Employment, Equity Ownership. Tonda:Onyx Pharmaceticals, an Amgen subsidiary: Employment, Equity Ownership. Xing:Onyx Pharmaceticals, an Amgen subsidiary: Employment, Equity Ownership. Moreau:Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees; Janssen: 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; Millennium: Honoraria, Membership on an entity's Board of Directors or advisory committees; Onyx: Honoraria, Membership on an entity's Board of Directors or advisory committees. Palumbo:Onyx Pharmaceuticals: Consultancy, Honoraria; Millennium Pharmaceuticals: Consultancy, Honoraria; Janseen-Cilag: Consultancy, Honoraria; Celgene: Consultancy, Honoraria; Genmab A/S: Consultancy, Honoraria; Bristol-Myers Squibb: Consultancy, Honoraria; Amgen, Inc,: Consultancy, Honoraria; Array BioPharma: Honoraria.

Abstract Background . Cell-free DNA (cfDNA) sequencing enables serial temporal sampling, which offers the possibility of following the dynamics of biomarkers and clonal evolution in Multiple Myeloma (MM) over time. The use of cfDNA in clinical practice as a molecular biomarker and for monitoring response/resistance is dependent on a comprehensive profile of matched cfDNA and tumor DNA (tDNA) samples. Here we performed Ultra-Low Pass Whole Genome Sequencing (ULP-WGS) followed by whole-exome sequencing (WES) and targeted deep sequencing of matched cfDNA/tDNA samples from MM patients. Methods. We performed next generation sequencing of matched cfDNA/tDNA samples for 63 patients with newly diagnosed or relapsed MM, SMM, or MGUS. Libraries were constructed using the Kappa Hyper kit and sequenced by ultra-low-pass whole-genome sequencing (ULP-WGS, 0.1x coverage) to quantify tumor fraction within cfDNA. WES was performed on 30 matched samples cfDNA/tDNA/germline DNA from 10 patients with more than 5% of tumor fraction. Libraries were hybridized to the Nextera Rapid Capture Exome kit (Illumina) and then sequenced on HiSeq 4000 (Illumina). Targeted deep sequencing was performed on 32 matched cfDNA/tDNA samples from 16 patients using the HaloPlex HS technology (Agilent), allowing for molecular barcoding. Libraries were constructed according to the manufacturer's instructions and sequenced on HiSeq 2500 (Illumina). Sequencing data were analyzed using the Firehose pipelines, including MuTect, ABSOLUTE, ReCapSeg, GISTIC and MutSig. Results. We first used a cost-effective approach to establish the tumor content of cfDNA in a large-scale manner by ULP-WGS. Among 63 tested samples (53 MM, 6 SMM and 4 MGUS patient samples), the tumor fraction within cfDNA ranged from 0 to 81% with a mean of 10%. About 43% of these samples had tumor fraction greater than 5% within cfDNA. To assess whether cfDNA can capture the genetic diversity of MM and inform clinical management, we performed WES of matched cfDNA/tDNA/germline DNA samples for 10 patients (mean target coverage 194x). Copy number alterations (CNAs) assessed by WES (ReCapSeg) were consistent between cfDNA and tumor DNA. Similarly, focal CNAs assessed by GISTIC were consistent between tDNA and cfDNA. We then examined the overlap of somatic single nucleotide variants (SSNVs) between WES of cfDNA and matched tDNA. We found, on average, 100% of the clonal and 96% of the subclonal (range 54-100%) SSNVs that were detected in the tumor were confirmed to be present in cfDNA. Similarly, for mutations detected in the cfDNA, we found, on average, 100% of the clonal and 99% of the subclonal (range 98-100%) SSNVs were confirmed in the tumor. To assess whether targeted deep sequencing of cfDNA could be a good proxy for tumor biopsy we used a targeted deep sequencing approach of known MM driver genes. Libraries were prepared using unique molecular barcodes to avoid duplication rates, for 32 matched cfDNA/tDNA samples from 16 patients with MM. The mean target coverage was 596x. We found similar frequencies of altered MM driver genes in both cfDNA and tDNA, including KRAS, NRAS, and TP53, indicating that cfDNA can be used for precision medicine. Conclusions. Our study demonstrates that both WES and targeted deep sequencing of cfDNA are consistently representative of tumor DNA alterations in terms of CNAs, focal CNAs and SSNVs. This approach could therefore be used to longitudinally follow clonal evolution across the course of the disease and precision medicine in patients with MM. Disclosures Palumbo: Takeda: Employment, Honoraria; Janssen Cilag: Honoraria. Kumar:Noxxon Pharma: Consultancy, Research Funding; Celgene: Consultancy, Research Funding; Millennium: Consultancy, Research Funding; Skyline: Honoraria, Membership on an entity's Board of Directors or advisory committees; Janssen: Consultancy, Research Funding; Kesios: Consultancy; Glycomimetics: Consultancy; BMS: Consultancy; Array BioPharma: Consultancy, Research Funding; Sanofi: Consultancy, Research Funding; AbbVie: Research Funding; Onyx: Consultancy, Research Funding. Roccaro:Takeda Pharmaceutical Company Limited: Honoraria. Facon:Amgen: Consultancy, Speakers Bureau; Novartis: Consultancy; Janssen: Consultancy, Speakers Bureau; Bristol: Consultancy; Millenium/Takeda: Consultancy; Celgene: Consultancy, Speakers Bureau; Karyopharm: Consultancy. Ghobrial:Celgene: Honoraria, Research Funding; BMS: Honoraria, Research Funding; Noxxon: Honoraria; Novartis: Honoraria; Takeda: Honoraria; Amgen: Honoraria.

Abstract Abstract 743 Background There has been considerable recent focus upon the molecular classification of myeloma. However, the prognostic impact of molecular changes has mostly been assessed from small and/or incomplete studies from single institutions or groups. There has been no large scale analysis of molecular features linked to ISS stage. Methods In order to clarify the overall impact of molecular changes we undertook a collective analysis of 9,897 patients through the International Myeloma Working Group (IMWG). Within this population 2,295 patients had presence of cytogenetic abnormalities (Any CA); 1,713 hypodiploidy; 1,673 hyperdiploidy; 2,309 cytogenetic deletion 13; 3,226 deletion 13 by FISH; 1,573 FISH t(4;14); 1,486 FISH del p17; 1, 683 FISH t(11:14); and 366 FISH t(4;16). Enrolled patients had complete clinical and treatment details available including baseline standard prognostic factors, ISS stage, as well as both progression free survival (PFS) and overall survival (OS) information. Data came from 14 sites: 3 from the US and the remainder from Europe, Asia, and Latin America as for the ISS staging system analyses. Univariate and multivariate analyses were performed. Results Each of the known adverse molecular features had a negative impact upon both PFS and OS (p=002 - <0.0001). Among the deleterious FISH abnormalities the t(4;14) abnormality was the most highly correlated with poorer outcomes by PFS: 4 year estimate: 32% vs. 60% (p<0.0001). The t(4;14) abnormality combined with ISS Stage also significantly enhanced predictive capability: ISS Stage I without t(4;14) OS 81% @ 4 years; ISS Stage III with t(4;14) OS 22% @ 4 years (P<0.0001) [Figure 1]. The best outcomes were for ISS Stage I in the presence of t(11;14): OS 89% @ 4 years. Absence of any one adverse feature correlated with 80-81% OS @ 4 years for Stage I. Presence of any one adverse feature had a more variable impact and correlated with 22%-40% OS at 4 years for Stage III. In univariate correlations the most predictive correlations with OS were presence of Any CA, t(4;14), 17p-, hypodiploidy, cytogenetic 13q- with R2 values of 6.9%, 4.5%, 4.1% and 3.8% respectively. In multivariate analyses, ISS stage provided the best predictions: R2 values = 13.3%. The added contributions from molecular features were: t(4;14) 3.8%; cytogenetic 13q- 2.9%; Any CA 2.3%; and 17p- 1.0%. The maximum total R2 for OS was 22%. Conclusions This large multicenter analysis confirms the correlations between abnormal molecular findings and outcomes. Combinations with ISS Stage provide the best predictive capability. Presence of Any CA, t(4;14), 17p-, hypodiploidy and cytogenetic 13q- contribute to poorer outcomes by ISS stage. The presence of hyperdiploidy and/or t(11;14) contribute to better outcomes. There is thus validation of prior molecular studies related to prognosis utilizing this large IMWG database. Disclosures: No relevant conflicts of interest to declare.

Key Points IRd was associated with a consistent PFS benefit vs placebo-Rd in RRMM patients with high-risk and standard-risk cytogenetics. The addition of ixazomib to Rd overcomes the poor PFS associated with high-risk cytogenetics in patients with RRMM.