ALBERT

Description: Introduction: The role of autologous stem cell transplantation (ASCT) as first line treatment for newly diagnosed patients with myeloma is currently under evaluation given the high response rates to novel induction treatment. The outcomes for patients that do not proceed to ASCT following induction remain unclear and are likely to be determined by genetic risk and response to therapy. In order to evaluate this further, this single arm phase 2 clinical trial conducted at 13 sites in the UK was designed to determine the 2 year progression free survival for patients that achieved ≥ very good partial response (VGPR) following induction therapy without ASCT. Those achieving partial response (PR) were consolidated with ASCT according to routine practice. In this first analysis we report secondary endpoints: disease response and regimen-related toxicity in patients completing induction, including minimal residual disease (MRD) negativity by multiparameter flow cytometry. Methods: Patients with newly diagnosed myeloma eligible for ASCT received PAD (bortezomib 1.3mg/m2 days 1, 4, 8, 11; doxorubicin 9mg/m2 days 1-4 and dexamethasone 40mg days 1-4 (and days 8-11 and 15-18 for the first cycle only)) for up to 6 cycles (minimum of 4). Bortezomib was initially given intravenously (IV), but once approved this was switched to sub-cutaneous (SC). Those failing to achieve PR were offered salvage therapy off protocol. All others had peripheral blood stem cell (PBSC) mobilisation using cyclophosphamide + GCSF, followed by MRD assessment on bone marrow aspirates using multi-parameter flow cytometry. Depending on disease response, patients were then stratified to ASCT (PR) or no further treatment (≥VGPR). Responses were assessed using International uniform response criteria (Durie 2006) by intent-to-treat and toxicity scored according to CTCAE version 4.0. High risk disease was defined by the presence of one or more adverse FISH lesions (t(4;14), t(14;16), t(14;20), del(17p13), +1q21) as described in the MRC Myeloma IX trial. Results: Between March 2011 and January 2014, 153 patients were enrolled (median age of 55, range 28-71 years). 139 (91%) received between 4-6 cycles of PAD. The majority (135, 88%) received SC only bortezomib and 18 (12%) received at least 1 cycle IV. The overall response rate to PAD was 81% with 46% achieving ≥VGPR (sCR: 6 (4%), CR: 13 (8%), VGPR: 51 (33%), PR: 54 (35%)). FISH data was available for 122 patients, 91 (75%) patients were standard risk and 31 (25%) were adverse. Responses were similar irrespective of ISS or genetic risk (standard, ≥VGPR 44%, PR 34%; adverse, ≥VGPR 55%, PR 29%). MRD results are currently available in 70 of the 124 patients achieving PR post PBSC harvest. Of this group 41 achieved ≥VGPR post-harvest (22 MRD+ and 19 MRD-) and hence did not proceed to ASCT, 13 patients achieved CR of which 8 were MRD negative. Toxicity was as expected for PAD and predominantly haematological. Notably the incidence of neuropathy was lower than that previously reported with IV bortezomib. Grade 3-4 events were: neutropenia: 18%; thrombocytopenia 7%. Grade 2-4 peripheral neuropathy was reported in 27% compared to 40% in the HOVON-65/ GMMG-HD4 Trial using IV bortezomib. Grade 1-2 neuropathy was similar for patients who received IV (55.6%) or SC (60%) bortezomib; however only 7% of patients receiving SC bortezomib developed grade 3 neuropathy compared to 28% with the IV route. Conclusions: SC PAD is a highly effective induction regimen for patients with newly diagnosed myeloma achieving a ≥VGPR of 46%. Of the 41 patients achieving ≥VGPR post-harvest with MRD result available, 46% were MRD negative. Response rates were similar across ISS and with adverse FISH. The use of SC bortezomib improved tolerability and substantially reduced neurotoxicity. ISRCTN no: 03381785. Disclosures Popat: Janssen: Honoraria. Cavenagh:Janssen: Honoraria. Schey:Janssen: Consultancy, Honoraria. Cook:Janssen: Consultancy, Honoraria, Research Funding, Speakers Bureau. Cook:Janssen: Honoraria, Research Funding. Yong:Janssen: Honoraria.

Description: Background: The International Prognostic Index (IPI) was first described in 1993 and is the most widely used prognostication tool in diffuse large B-cell lymphoma (DLBCL). Five independent risk factors for OS: age (≤60 yrs versus 〉60 yrs), stage (I/II versus III/IV), number of extranodal (EN) sites (≤1 versus 〉1), performance status (PS) (0-1 versus ≥2) and serum lactate dehydrogenase (LDH) (normal versus elevated) were used to design a prognostic model which stratified patients into 4 prognostic groups according to the number of risk factors present: low (0-1), low-intermediate (2), high-intermediate (3), and high-risk (4-5); predicting 5-yr OS rates of 73%, 51%, 43% and 26% and 5-yr relapse-free survival (RFS) rates of 70%, 50%, 49%, 40% respectively. For patients aged ≤60 yrs 3 risk factors (stage, PS and LDH level) remained independently significant for OS, and an age-adjusted (aa) model (the aa-IPI) was proposed which predicted 5-yr OS for the low (0), low-intermediate (1), high-intermediate (2) or high-risk (3) groups of 83%, 69%, 46% and 32% respectively (Shipp et al, 1993). The British Columbia Cancer Agency re-evaluated the role of IPI in the rituximab era in their registry-based cohort of 365 patients in 2007. Although the IPI remained predictive, only 2 (rather than 4) prognostic groups were identified and the authors recommended use of the Revised-IPI (R-IPI) where redistribution of the absolute number of IPI risk factors better stratified patients into 3 prognostic groups: very good (0) good (1,2) and poor (3-5) (Savage et al, 2007). However, a subsequent analysis of pooled data from 3 prospective trials (Ziepert et al, 2010) confirmed that the IPI remained highly predictive of outcomes in the rituximab era. Here we report an evaluation of prognostic indices within the UK NCRI R-CHOP 14 vs 21 prospective trial cohort (Cunningham et al, 2013). Methods: The IPI and R-IPI were applied to the R-CHOP 14 versus 21 trial cohort (n=1,080) and for the subgroup of patients aged ≤60 yrs (n=515) and correlated with OS and progression-free survival (PFS). For patients aged ≤60 yrs the aa-IPI was applied in addition. It was not possible to evaluate the NCCN-IPI in our cohort as absolute LDH values were not collected at enrolment. The association between baseline clinical factors (age, gender, PS, stage, presence of 〉1 EN site of disease, presence of an elevated LDH, disease bulk and B symptoms) and patient outcomes were investigated in univariable and multivariable analysis (MVA). Performance of the prognostic indices was compared using the Concordance Probability Estimate (CPE) and Akaike's Information Criterion (AIC): CPE evaluates discriminatory power to assess the strength of statistical models (higher values indicate better discrimination); AIC estimates the quality of statistical models relative to each other in terms of fitting the data (lower values indicate a better model fit). Results: After a median follow-up of 6.5 years, both the IPI and R-IPI were significantly associated with OS (Figure 1) and PFS; the IPI performed better than the R-IPI for OS and PFS in terms of discrimination and model fit (Table 1). All IPI factors were significantly associated with OS, and remained in MVA with the exception of disease stage. For patients aged ≤60 yrs, the IPI, R-IPI and aa-IPI were all strongly associated with OS and PFS; the IPI performed best overall of the 3 prognostic indices in terms of discrimination and model fit (Table 2). All individual IPI risk factors, excepting stage, were again found to be significantly associated with OS in MVA for patients aged ≤60 yrs. Conclusion: For the entire DLBCL cohort both the IPI and R-IPI identified meaningful prognostic groups for OS and PFS. Although the IPI outperformed the R-IPI, neither index identified a patient subgroup with an OS of

Description: Improving outcomes in multiple myeloma will involve not only development of new therapies but also better use of existing treatments. We performed RNA sequencing on samples from newly diagnosed patients enrolled in the phase 2 PADIMAC (Bortezomib, Adriamycin, and Dexamethasone Therapy for Previously Untreated Patients with Multiple Myeloma: Impact of Minimal Residual Disease in Patients with Deferred ASCT) study. Using synthetic annealing and the large margin nearest neighbor algorithm, we developed and trained a 7-gene signature to predict treatment outcome. We tested the signature in independent cohorts treated with bortezomib- and lenalidomide-based therapies. The signature was capable of distinguishing which patients would respond better to which regimen. In the CoMMpass data set, patients who were treated correctly according to the signature had a better progression-free survival (median, 20.1 months vs not reached; hazard ratio [HR], 0.40; confidence interval [CI], 0.23-0.72; P = .0012) and overall survival (median, 30.7 months vs not reached; HR, 0.41; CI, 0.21-0.80; P = .0049) than those who were not. Indeed, the outcome for these correctly treated patients was noninferior to that for those treated with combined bortezomib, lenalidomide, and dexamethasone, arguably the standard of care in the United States but not widely available elsewhere. The small size of the signature will facilitate clinical translation, thus enabling more targeted drug regimens to be delivered in myeloma.

Description: Introduction: The discovery of 3 distinct molecular subgroups of diffuse large B-cell lymphoma (DLBCL) according to cell-of-origin (COO): germinal centre B-cell (GCB), activated B-cell (ABC) and type III/unclassifiable by gene expression profiling (GEP) (Alizadeh et al, Nature 2000; Rosenwald et al, NEJM 2002) was a key advance in understanding the disease biology. The ABC subtype is associated with inferior survival which has persisted in the rituximab era (Lenz et al, NEJM 2008). Determination of COO by GEP has not been incorporated into routine practice however due to a lack of accessibility and requirement for fresh frozen tissue. Barrans et al (BJH 2012) recently demonstrated that COO could be accurately classified by the Illumina DASL® platform, using RNA extracted from routinely processed FFPE tissue from a population-based cohort of 172 R-CHOP-treated patients, and predicted clinical outcome. The aim of this analysis was to determine GEP-based DLBCL COO using the Illumina DASL® platform, to correlate results with outcome, and to validate this methodology using FFPE tissue samples from patients enrolled in the prospective phase III R-CHOP 14 v 21 trial. Methods: The UK NCRI R-CHOP-14 v 21 trial assessed R-CHOP given 2-weekly versus 3-weekly in 1080 previously untreated DLBCL patients aged ≥18 years and enrolled from 2005-2008. We previously reported that R-CHOP-14 was not superior to R-CHOP-21 for overall survival (OS), progression-free survival (PFS), response rate or safety. COO as determined by the Hans classifier (n=560) was not prognostic for OS (Cunningham et al, Lancet 2013). All patients with sufficient FFPE material remaining were included in this analysis. RNA was extracted and GEP was performed using the Illumina DASL® platform. Cases were classified as ABC, GCB or type III according to the DAC classifier (Care et al, Plos One 2013). Response was assessed using IWG 1999 criteria. PFS and OS were calculated from date of randomisation and analysed using Kaplan-Meier and Cox regression methods. Results: 369 patients had sufficient FFPE material remaining for analysis. COO classification was as follows: ABC 15.2% (n=56), GCB 46.3% (n=171), type III 38.5% (n=142). Baseline characteristics are shown in Table 1. Patients with GCB subtype had a significantly higher incidence of BCL-2 (p1 extranodal site of disease, elevated LDH), sex, bulky disease, B symptoms and trial arm; patients classified as GCB or type III had superior OS versus ABC subtype (HR 0.53, 95% CI: 0.31-0.89; p=0.02) and (HR 0.56, 95% CI: 0.33-0.96; p=0.03) respectively. GCB subtype was also independently associated with superior PFS versus ABC subtype (HR=0.59, 95% CI: 0.37-0.96; p=0.03). The difference in PFS between type III and ABC subtypes did not reach statistical significance, but followed a similar trend (HR=0.65, 95% CI: 0.40-1.07; p=0.09). Results of univariate and multivariate analyses of individual factors and OS are shown in Table 2. Conclusion: Our results demonstrate that the ABC subtype of DLBCL as determined by GEP is independently associated with inferior PFS and OS. Our findings confirm those of Barrans et al (BJH 2012) and serve as a validation cohort for this methodology in the setting of a prospective trial where patients were exclusively R-CHOP-treated. Of note our patient cohort included a high proportion of type III/unclassifiable patients (38.5%) which are being further investigated currently and updated results will be presented at the meeting. Our analysis confirms that GEP-based COO is a significant prognostic biomarker for DLBCL in the rituximab era which can be accurately determined using routinely processed FFPE tissue samples. Table 1 Baseline characteristics Table 1. Baseline characteristics Figure 1. Overall survival by cell-of-origin determined by gene expression profiling group Figure 1. Overall survival by cell-of-origin determined by gene expression profiling group Table 2 Overall survival: univariate and multivariate analyses Table 2. Overall survival: univariate and multivariate analyses Disclosures Cunningham: Medimmune: Research Funding; Merrimack: Research Funding; Celgene: Research Funding; Bayer: Research Funding; Astra-Zeneca: Research Funding; Amgen: Research Funding. Hawkes:Merck Serono: Research Funding; Takeda: Other: travel expenses; BMS: Other: travel expenses, Research Funding. Pocock:Gilead Sciences: Other: Sponsorship to attend the EHA 2016 Meeting; Janssen: Speakers Bureau; Takeda: Honoraria. Ardeshna:Roche: Membership on an entity's Board of Directors or advisory committees, Other: Conference Expenses, Research Funding. Radford:Astra Zeneca: Equity Ownership; GlaxoSmithKline: Equity Ownership; Novartis: Honoraria; Seattle Genetics: Honoraria; Takeda: Honoraria, Research Funding.

Description: Background: Consolidation after high dose therapy and autologous stem cell transplant (ASCT) for multiple myeloma (MM) can improve response depth and prolong progression free survival (PFS), but it is important to ensure good quality of life (QoL) and responsiveness to further salvage therapy. We conducted a single-arm Phase II weekly bortezomib consolidation trial (BCT) to assess outcomes in MM patients receiving upfront ASCT. Methods: Bortezomib-na•ve patients with at least stable disease at 3-4 months post-high dose melphalan 200mg/m2 with ASCT received up to 8 cycles of bortezomib (1.3mg/m2 days 1,8,15,22 in a 4-week cycle), 17 intravenously (IV) and 23 subcutaneously (SC). The primary endpoint was disease response (IMWG) at 6 and 12 months post-ASCT. Other endpoints were MRD by multiparametric flow cytometry (patient 15 onwards) at 6 and 12 months post-ASCT, toxicity, PFS, overall survival, osteoblast function and Qol (EORT-QLQ-C30). Serum basic alkaline phosphatase (bALP) and ostocalcin (OC) were measured by ELISA. Results: The study recruited 40 patients between December 2009 and March 2014 at a median of 3.4 months post-ASCT. The median age was 61 years (range 43-69); 55% male; isotypes were: 22 (59%) IgG, 9 (24%) IgA, 1 (3%) IgD, 5 (14%) light chain only, 1 non-secretory and 2 unknown. Induction regimens pre-ASCT were thalidomide (33, 87%), idarubicin and dexamethasone (5, 13%). and unknown in 2. One patient was withdrawn prior to commencement (unfit for treatment) and 3 patients stopped trial treatment after 1 cycle (2 toxicity, 1 disease progression). Of 36 patients who completed 〉1 cycle of bortezomib, 10 stopped treatment early (5 toxicity, 4 patient choice, 1 disease progression); median number of cycles received was 8. Eleven (28%) patients experienced a total of 15 grade 3 adverse events (AE); 6 (neuropathy, 3 in IV group, 18% cf 3 in SC group, 13%), 4 (infection), 1 (fatigue), 2 (haematological), 2 other. One patient had a grade 4 infection (cycle 1, treatment discontinued) and 1 grade 4 back pain. EORTC-QLQ-C30 scores for global health status and physical, emotional and social functioning did not change significantly throughout treatment. After a median follow up of 44.4 months, 18 (45%) are alive without progression, 20 (50%) are alive with progression and 2 (5%) died after progression. BCT improved response depth in assessable patients who completed 〉1 cycle (n=34). Disease response at trial entry: 4 (12%) sCR/CR, 19 (56%) VGPR, 10 (29%) PR, 1(3%) SD, cf. response at 12 months post-ASCT: 7 (21%) sCR/CR, 22 (65%) VGPR, 4 (12%) PR, 1(3%) PD. Biochemical response depth improved in 12 patients. 19 patients had MRD testing at 3 (where available) or 6 months post-ASCT and again at 12 months, 10 were MRD+ at the earlier time point, of whom 4 converted to MRD- at 12 months. Of the 9 MRD- patients, all remained negative at 12 months. 15 patients (44%) had improvement in biochemical and/or MRD response at 12 months. Median PFS was 38.5 months (95%CI 29.1-47.9)(Figure). Patients who were MRD- at 12 months had median PFS of 49.2 months (95%CI 35.3-63.2) compared with 22.0 months (95%CI 21.5-22.6) in MRD+ patients (p=0.03). Of the 22 patients who relapsed, 12 received bortezomib-based salvage regimens, 5 received carfilzomib-based regimens and 5 have not started second-line therapy. Disease responses in patients receiving bortezomib salvage was 8 (67%) VGPR, 4 (33%) PR. Four patients went on to have a 2nd ASCT. In the 17 patients receiving salvage, median 2nd PFS from start of second line was 14.8 months (95%CI 8.2-18.0). At 3 months post-ASCT, levels of the osteoblast markers bALP and OC were significantly higher in CR/VGPR patients, compared to patients with PR or less (p=0.04 and 0.03, respectively). Neither marker changed significantly following BCT. Conclusions: For patients with MM, consolidation with weekly bortezomib post-ASCT is well tolerated and deepens disease response and MRD negativity without compromising the response to subsequent bortezomib-based salvage therapy. Patients who are MRD- at 12 months enjoy a median PFS of 4 years. This low intensity post-ASCT strategy deserves further study in the context of current and evolving protocols for newly diagnosed patients. Figure Figure. Disclosures Yong: Autolus Ltd: Equity Ownership, Patents & Royalties: APRIL based chimeric antigen receptor; Janssen: Research Funding.

Description: Introduction Earlier studies have indicated that the combination of bortezomib and rituximab is highly active in Waldenstrőm's macroglobulinemia (WM). However, there is scope to improve the complete response rate, duration of response and toxicity profile. We evaluated the efficacy and tolerability of the addition of cyclophosphamide to bortezomib and rituximab in previously untreated patients with WM. Methods Symptomatic treatment-naïve patients were enrolled into this prospective randomised (2:1), multicentre, non-comparative Phase II study (NCT01592981). Patients were stratified according to the International Prognostic Scoring System for WM. Patients were treated with BCR (Bortezomib 1.6 mg/m2 s.c. days 1, 8, 15; Cyclophosphamide 250 mg/m2 oral days 1, 8, 15; Rituximab 375mg/m2 i.v. days 1, 8, 15, 22 cycles 2 and 5 only) or FCR (Fludarabine 40mg/m2 oral days 1-3; Cyclophosphamide 250 mg/m2 oral days 1-3; Rituximab 375mg/m2i.v. days 1, 8, 15, 22 cycles 2 and 5 only) for 6 cycles repeated every 28 days. Rituximab and bortezomib were provided free of charge by Roche and Janssen, respectively. The primary endpoint was investigator assessed overall response rate (ORR) using consensus criteria. Results Sixty patients were enrolled into this study and 59 received trial treatment (BCR=42, FCR=17). Of all registered patients, 73% were male, median (range) age was 67 years (43-87), Haemoglobin 9.8 g/dL (6.5-14.0), serum IgM paraprotein 34 g/L (3.2-80.2), plasma viscosity 3.6 mPa.s (2.0-9.3) and 25/30/45% were low/intermediate/high risk respectively. Six cycles were completed by 92.9% of BCR and 76.5% of FCR patients, one patient withdrew from the study prior to starting trial treatment. Dose reductions were needed in 38.1% of BCR and 52.9% of FCR patients and treatment delays occurred in 64.3% of BCR and 64.7% of FCR patients. ORR was 97.6% in BCR patients with 78.6% achieving a major response (CR=1, VGPR=8, PR=24, MR=7, SD=1), one patient was not assessed as no evidence of WM was found upon central review; 82.4% in FCR patients with a major response rate of 76.5% (CR=0, VGPR=3, PR=10, MR=1, SD=2), one patient stopped treatment after cycle 1 due to continuing cytopenia (grade 4). Responses were also evaluated in both marrow and peripheral blood using a disease specific multiparamater flow cytometric assay. After a median follow-up of 18 months, 54 patients were progression-free; 3 patients progressed (all BCR) and 3 patients died, 2 from myelodysplastic syndrome (MDS) (both FCR) and 1 from pneumonia (BCR). Grade 3 or higher toxicities included anemia (5 [11.9%] BCR; 3 [17.6%] FCR), neutropenia (11 [26.2%] BCR; 12 [70.6%] FCR), thrombocytopenia (7 [16.7%] BCR; 6 [35.3%] FCR) and infection (2 [4.8%] BCR; 5 [29.4%] FCR). No grade 3 or higher neuropathy was reported. Conclusions BCR and FCR are both highly effective treatments for primary therapy of WM but FCR is associated with increased toxicity and concerning incidence of secondary MDS. BCR warrants further investigation in a randomised Phase III trial. Continued follow-up of R2W patients is also important to provide reliable estimates for duration of response, progression-free survival and overall survival. Disclosures Auer: Janssen: Consultancy, Other: Drug provided for clinical trial; Bristol Myers Squibb: Consultancy. Owen:Janssen: Consultancy; Roche: Honoraria; Pharmacyclics: Consultancy.

Description: A major challenge in modern myeloma management is the selection of the best initial treatment from a plethora of available therapies. PAD (bortezomib, doxorubicin, and dexamethasone) is a highly effective regimen which may obviate the need for an upfront high-dose melphalan stem cell transplant (HDSCT). However, it is not clear a priori which patients will benefit from this treatment. In the phase 2 PADIMAC trial, patients with newly diagnosed myeloma were treated with six cycles of PAD and stratified to receive HDSCT in partial remission (PR) or watch and wait in very good partial remission (VGPR) or better. To identify predictive biomarkers, we extracted somatic RNA prior to treatment and performed massively parallel RNA sequencing (RNAseq). Basic quality control metrics suggested a high-quality RNAseq dataset. Furthermore, spiked expression of IgH fusion partners was consistent with fluorescent in situ hybridization (FISH) data for each sample. All t(4;14) and t(4;16) cases were correctly identified by RNAseq on the basis of the relevant fusion transcript. As a final quality control measure, recurrent variants (e.g. NRAS, KRAS, TP53, FAM46C, DIS3) were identified in the expected proportions. We performed a pre-planned analysis of differential gene expression between those patients achieving a VGPR or better, sustained for at least 12 months without HDSCT (excellent responders), and those patients who achieved less than a PR (poor responders). 85 genes were upregulated in poor responders and 225 in excellent responders. Interestingly, there was no significant overlap between our PAD-predictive signature and the Arkansas 70 gene poor prognosis signature, the Arkansas 17 gene poor prognosis signature, or the EMC92 prognostic signature. This is likely to reflect in part, the greater sensitivity of RNAseq for gene expression compared to microarrays. However, it also implies that there is a selective signature for PAD responsiveness. We employed the Gage and Pathview packages to identify non-redundant pathways associated with PAD responsiveness. Significantly upregulated genes in poor responders were those involved in: DNA replication, base excision repair, and the Fanconi anaemia pathway. Genes upregulated in excellent responders included those involved in: several signalling pathways (including RAS, NF-Kappa B, FOXO and JAK-STAT pathways); chemokine and cell adhesion; protein processing in the endoplasmic reticulum; and immune activation pathways such as T-cell receptor signalling and natural killer cell-mediated cytotoxicity. Finally, we investigated the ability of expression signatures to stratify patients on the basis of PAD responsiveness. Our analysis suggests that RNASeq-defined transcriptional profiles could aid in the selection of patients for PAD therapy (leading to an increase in overall response rate from 70% to 86%), as well as the stratification of patients in CR to a non-HDSCT protocol. We anticipate that our current analysis could easily incorporate specific response signatures for other regimens and could make personalized therapy for myeloma a reality in the foreseeable future. Disclosures Yong: Autolus Ltd: Equity Ownership, Patents & Royalties: APRIL based chimeric antigen receptor; Janssen: Research Funding. Streetly:Guys and St. Thomas' NHS Trust: Honoraria. Schey:Celgene, Takeda: Honoraria; Celgene: Consultancy; Celgene, Johnson & Johnson: Speakers Bureau. Cook:Amgen: Consultancy, Honoraria, Research Funding, Speakers Bureau; Janssen: Consultancy, Honoraria, Research Funding, Speakers Bureau; Glycomimetics: Consultancy, Honoraria; Takeda: Consultancy, Honoraria, Research Funding, Speakers Bureau; Celgene: Consultancy, Honoraria, Research Funding, Speakers Bureau; Sanofi: Consultancy, Honoraria, Speakers Bureau; Bristol-Myers Squibb: Consultancy, Honoraria. Cook:Takeda: Honoraria; Amgen: Honoraria; Celgene: Honoraria, Research Funding; Janssen: Honoraria, Research Funding; Myeloma UK: Membership on an entity's Board of Directors or advisory committees.

Description: Background. Chemotherapy followed by ASCT is standard of care in fit transplant-eligible newly diagnosed patients with Multiple Myeloma (MM). Most patients, however, will relapse and require further treatment. With increasing choice of therapies at relapse, we need to understand the determinants of treatment outcomes for these patients, to aid management decisions and patient counselling. Methods. This was a retrospective analysis of sequential patients who relapsed from upfront ASCT carried out between 2000-2014. PFS1 was defined as time from ASCT to 1st progression or death; PFS2, time from ASCT to 2nd progression or death and 2nd PFS, time from start of salvage regimen to 2nd progression or death. Post relapse survival (PRS) was measured from progression date and overall survival (OS) from ASCT date. Disease response, and adverse FISH were assigned according to IMWG. Survival was estimated using Kaplan- Meier curves and correlative analysis by Cox regression models. Results. Of 474 patients undergoing ASCT (2000-2014), 277 relapsed with a median age of 58 years (range 29-70).The M:F ratio was 1.85:1. Isotypes identified were: IgG 57.0%, IgA 22.7%, light chain 15.9%. Median PFS1 from ASCT was 20 months (0.47-128.3). ORR pre-ASCT was 91.3% (sCR/CR 4.4%, VGPR 25.4%) and post ASCT was 95.3% (sCR/CR 14.5%, VGPR 52.2%). At relapse, median age was 60 years (30-73) and 36.5% of patients had ISS stage2-3 disease. For the 277 patients who relapsed, median OS from ASCT was 67 months (CI 57-73) and median PRS was 40 months (35-44). PFS1 had a strong influence on OS, HR 0.97 (95%CI: 0.96-0.97, p

Description: Background: Elderly patients with diffuse large B-cell lymphoma (DLBCL) have an inferior prognosis compared to younger patients. Dose intense administration of cyclophosphamide, doxorubicin, vincristine, and prednisolone (CHOP14) is superior to 3-weekly CHOP in elderly DLBCL patients (Pfreundschuh, Blood 2004), but this benefit has not been demonstrated with addition of rituximab (Delarue, Lancet Oncol 2013). We have previously shown that R-CHOP14 did not improve outcome compared to standard R-CHOP21 in newly diagnosed DLBCL patients aged 19-88 years across all subgroups (Cunningham, Lancet 2013). Here, we provide a detailed subgroup analysis of elderly patients (over 60 years) from the UK NCRI R-CHOP14 vs 21 randomised phase 3 trial. Methods: Between 2005 and 2008, 1080 patients were randomly assigned to receive 8 cycles R-CHOP21 or 6 cycles R-CHOP14 (+ G-CSF) with two additional rituximab applications. Of these, 604 patients were over 60 years and included in the current analysis (301 in the R-CHOP21 arm, 303 in the R-CHOP14 arm), with a median follow-up of 45 months. Results: Baseline characteristics were well balanced between treatment arms. 36% of patients were over 70 years, 15% had a WHO performance status (PS) of 2, 65% stage III/IV disease, 44% bulky disease and 42% B symptoms. There was a trend towards a higher rate of BCL6 rearrangements (26% vs. 16%; P=0.10) and concurrent MYC - and BCL2 rearrangements (double hit lymphoma as determined by FISH, 8% vs. 2%; P=0.06) in the R-CHOP14 arm compared to the R-CHOP21 arm. 85% (257/303) of patients received 8 cycles of R-CHOP14, whereas only 76% (230/301) completed all 8 cycles R-CHOP21. However, percentage of patients receiving at least 6 cycles of therapy was similar (88% and 89%, respectively). Dose delays of myelosuppressive drugs occurred more frequently in patients receiving R-CHOP21 vs. R-CHOP14 (51% vs. 39%; P=0.03) due to a higher incidence of haematological toxicities likely related to the reduced use of G-CSF. G-CSF was mandatory for patients on R-CHOP14 and was given to 57% of patients on R-CHOP21 as secondary prophylaxis. The frequency of dose reductions was similar in the R-CHOP21 and R-CHOP14 arms (15% vs. 16%; P=0.73). Toxicities of grade III+ were seen in 72% and 60% of patients in the R-CHOP14 and R-CHOP21 arms, respectively. There was evidence of a higher incidence of grade III+ neutropenia (62% vs. 36%) and a lower rate of thrombocytopenia (7% vs. 12%) in the R-CHOP21 arm compared to R-CHOP14. The incidence of fever and infections was similar in both arms. There was no evidence of a difference in response rates between the R-CHOP14 and R-CHOP21 arms [complete response (CR)/unconfirmed CR (CRu) rates: 62% vs. 67%, respectively; overall response rate both 91%]. CR/CRu rates after 4 cycles of therapy were 33% and 39% respectively (P=0.15). There was no difference regarding progression-free survival (PFS) and overall survival (OS) between arms, neither in the total cohort of elderly patients, nor in the subgroup of patients over 70 years [OS (all elderly): hazard ratio (HR) 0.91 (95% CI: 0.67-1.24); P=0.55; PFS (all elderly): HR 0.98 (95% CI: 0.74-1.29); P=0.86]. 3-year PFS was 71% (95% CI: 67-74) in all patients over 60 years and 64% (95% CI: 58-71) in patients over 70 years. 3-year OS was 75% (95% CI: 72-79) and 67% (95% CI: 61-74) in patients over 60 years and over 70 years, respectively. In multivariate analysis including individual factors of the International Prognostic Index (IPI), as well as age as continuous variable, gender, presence of B symptoms, bulky disease, b2-microglobulin higher than 3mg/l and albumin higher than 35 g/l, only age was of independent prognostic significance for OS (P=0.01). Besides the standard IPI and the NCCN-IPI, an elderly IPI (E-IPI; Advani, BJH 2010) and the ABE4 score (Prochazka, PLoS One 2014) have been proposed for better prognostication of elderly DLBCL patients. A detailed comparison of these different prognostic models in our dataset will be presented at the meeting. Conclusion: Outcome and toxicities in DLBCL patients over 60 years treated within the NCRI R-CHOP14 vs 21 trial are comparable to results from other randomised studies investigating R-CHOP14 or R-CHOP21 in elderly DLBCL patients. Our data further support the similar efficacy and tolerability of both R-CHOP variants for first-line treatment of this patient group. Disclosures Cunningham: Amgen: Research Funding; Medimmune: Research Funding; Astra Zeneca: Research Funding; Bayer HealthCare Pharmaceuticals: Research Funding; Merrimack: Research Funding; Merck Serono: Research Funding; Celgene: Research Funding; Sanofi: Research Funding. Pocock:Janssen: Honoraria. Ardeshna:Roche: Honoraria.

Description: Abstract 3642 Introduction: Angioimmunoblastic T-cell lymphoma (AITL) is a rare disease accounting for 1–2% of all non-Hodgkin's lymphomas. It characteristically has an aggressive course with poor prognosis and a median overall survival (OS) in the order of 3 years. The median age at presentation is 65–70 years and most patients present with advanced stage disease. Due to its low incidence, few prospective clinical trials have been performed and the optimal treatment is not known. There is evidence that purine analogues are efficacious in AITL and the combination of fludarabine and cyclophosphamide (FluCy) has a high level of efficacy in other lymphoproliferative disorders. There are also good theoretical reasons and preliminary evidence to support the use of thalidomide in AITL. This multi-centre, phase II trial was designed to assess the efficacy and tolerability of FluCy chemotherapy and incremental response to consolidation with 6 months of thalidomide treatment. Methods: Using a Bayesian 2-stage design, it was planned to recruit 15 patients with a further 22 patients recruited to a second stage if a complete remission (CR) rate of 〉33% was achieved. Inclusion criteria were previously untreated AITL with measurable disease, performance status 18 years, and valid consent. The primary endpoint was response rate to FluCy. Secondary endpoints were response rate to thalidomide, toxicity, progression free survival (PFS), and OS. Treatment consisted of fludarabine 40mg/m2 and cyclophosphamide 250mg/m2 orally on days 1–3 of each 28 day cycle. Four cycles of FluCy were given prior to restaging. Patients progressing on FluCy came off study. Those with stable disease or responses had the option of 2 further cycles of FluCy prior to commencing thalidomide maintenance. Thalidomide 100mg once daily was given as continuous therapy starting 4 weeks after the final cycle of FluCy, with dose increases every 4 weeks to 300mg if tolerated. Results: 15 patients were recruited from 6 centres over 3 years from February 2009 to March 2012. The median age was 68 years (range 52–91) with more female than male patients (67% vs. 33%). 87% of patients had advanced stage disease. Four or more cycles of FluCy were administered in 53% of patients. Responses (CR, CRu, PR) were achieved in 9 patients (60%) with CR in 5 (33%). Reasons for early cessation of treatment were hematological toxicity (n=2), death (n=2) and failure to respond (n=3). Grade 3 or 4 hematological toxicity occurred in 8 (53%) patients, grade 3 or 4 non-hematological toxicity was experienced in 9 (60%) patients. Grade 1–2 peripheral neuropathy was reported in 2 patients. Guillain-Barré syndrome was reported in 2 patients in the thalidomide maintenance phase but resolved in both cases. Of the 9 patients with at least stable disease after FluCy, 7 received thalidomide, 2 patients did not receive thalidomide due to hematological toxicity and progression respectively. Remission status did not improve in any patients receiving thalidomide maintenance (6 patients progressed or have died and remission status was unchanged in the remaining patient). At a median follow-up of 14.9 months, 8 patients (53%) are alive. The estimated median OS is 18.2 months and median PFS is 7.9 months. Of the patients still alive, 4 have progressed, 2 (13%) are alive without progression, and 2 are not assessable for response due to early termination of treatment. The causes of death in the 7 deceased patients were lymphoma (5), infection (1), and Crohn's disease (1). Discussion: AITL is an aggressive lymphoma with poor outcome. The overall response rate in this trial of 60% (CR rate of 33%) was promising but remissions were short lived with a PFS of only 7.9 months. Only 2 patients are alive without progression at a median follow-up of 14.9 months. Thalidomide maintenance did not consolidate remission in any patients. The trial did not proceed to the 2nd stage of recruitment and demonstrates the difficulties in conducting prospective clinical trials in rare disorders such as AITL. The CR rate and duration of remission observed with FluCy are inferior to those reported with CHOP-type regimens. On the basis of these results, we recommend considering FluCy as first line treatment for AITL only when CHOP is contraindicated. Also, we found no evidence to support the use of thalidomide in this disease. Disclosures: Off Label Use: Thalidomide is used off licence in the trial for the treatment of AITL.