scholarly journals High Throughput Genomic Analysis Identifies Low-Risk Smoldering Multiple Myeloma

Blood ◽  
2020 ◽  
Vol 136 (Supplement 1) ◽  
pp. 2-2
Author(s):  
Anil Aktas-Samur ◽  
Mariateresa Fulciniti ◽  
Sanika Derebail ◽  
Raphael Szalat ◽  
Giovanni Parmigiani ◽  
...  
Keyword(s):  
Multiple Myeloma ◽  
Dna Repair ◽  
High Risk ◽  
Low Risk ◽  
Newly Diagnosed ◽  
Publicly Traded ◽  
Private Company ◽  
Smoldering Multiple Myeloma ◽  
Mutational Processes

Multiple Myeloma is preceded by precursor states of monoclonal gammopathy of undermined significance (MGUS) and smoldering multiple myeloma (SMM). Studies have shown that progression to symptomatic MM five years after diagnosis is 1% for MGUS and 10% for SMM. However, based on the genomic background, this rate is highly variable, especially for SMM patients. Recent studies have evaluated the high-risk genomic features for SMM, but the genomic background of SMM patients who do not progress to MM after long-term follow-up (>= 5 years) has not been described. Here, we evaluated genomic changes enriched in non-progressor (NP) (no progression after 5 years of follow-up) precursor conditions (N=31) with those progressed within a short time (N=71) as well as newly diagnosed Myeloma (N=192). We also studied additional unique samples from 18 patients at their precursor stage as well as when progressed to Myeloma. We report a similar large-scale CN alteration in non-progressor SMM compared to progressor SMMs or MM at diagnosis. However, whole-genome sequencing data showed that the overall mutational load for non-progressor SMM samples was lower than Progressor MGUS/SMM (median SNV 5460 vs. 7018). This difference significantly increased for mutations affecting the coding regions. NP samples at diagnosis had 26% and 53% less coding mutations (missense, nonsense, and frameshift mutations) compared to progressor MGUS/SMM (p=0.008) and newly diagnosed MM (p < 0.001) respectively. We observed very low NRAS (3%, OR=8.86) and BRAF (3%, OR=2.17), mutation frequency in non-progressor SMM samples compared to newly diagnosed MM. We did not observe driver mutations in FAM46C, TTN, CYLD, TP53, KMT2C, IRF4, HIST1H1E that are otherwise frequently mutated in high-risk SMM or symptomatic MM. None of the non-progressor SMM samples had MYC alteration. We observed t(11;14), t(4;14), and t(14;16) translocations at similar frequency compared to newly diagnosed MM samples. We also observed a significant difference in non-recurrent focal deletions. Based on our recent data in newly-diagnosed MM, we quantified genomic scar score, and observed that non-progressor SMM have lower GSS (median=3,IQR=[1-9]) compared to progressor MGUS/SMM (median=11,IQR=[5-15] / median=9,IQR=[9-15], respectively) as well as MM samples at diagnosis (median=9, IQR= [5-16],p=0.002). We further validated this observation in an independent cohort with 69 SMM samples in whom progressor SMM patients had high GSS (median =4, IQR=[2-7.75]), compared to delayed progressor (> four years) or non-progressor SMM (median =1.5, IQR= [0-3.5]; p=0.029). Moreover, non-progressor SMM had significantly low utilization of APOBEC and DNA repair mutational processes. Next, we compared non- progressor SMM with progressor SMM using RNAseq data. We identified 1653 differentially expressed genes (DEG) (762 up-regulated and 891 down-regulated). Genes that were upregulated in non-progressor SMM samples were enriched in IL6/JAK/STAT3 and IL2/STAT5 signaling and the regulation of cytokine secretion. Whereas genes up-regulated in progressor SMM were enriched in MYC targets, DNA repair, and mTOR pathways. Moreover, genes that control the translational initiation, translational elongation, mitochondrial translation, and ATP control were among the top highly expressed genes in progressor SMM. We used our MGUS/SMM to MM paired samples and showed that the E2F target, MYC target, and G2/M checkpoint pathways are more active at MM. We measured the distance between progressor and non-progressor SMM as well as MM and found that non-progressor SMM is less similar to MM compared to progressor SMM. In conclusion, the global CNA and translocations are similar between progressor and non-progressor SMM and symptomatic MM and confirm their role in the development of precursor condition but not adequate for progression to MM, which requires additional hits. On the other hand, lower GSS score reflecting genomic stability along with lower SNVs, low DNA damage and APOBEC mutational processes, down-regulated MYC target genes, and low DNA repair activation define low-risk SMM. These results now provide the basis to develop a genomic definition of SMM. Disclosures Fulciniti: NIH: Research Funding. Parmigiani:Phaeno Biotehnologies: Current equity holder in publicly-traded company; CRA Health: Current equity holder in publicly-traded company; Foundation Medicine Institute: Consultancy; Delphi Diagnostics: Consultancy; BayesMendel Laboratory: Other: Co-lead. Munshi:Janssen: Consultancy; Adaptive: Consultancy; Legend: Consultancy; Amgen: Consultancy; AbbVie: Consultancy; Karyopharm: Consultancy; Takeda: Consultancy; C4: Current equity holder in private company; BMS: Consultancy; OncoPep: Consultancy, Current equity holder in private company, Membership on an entity's Board of Directors or advisory committees, Patents & Royalties.

scholarly journals Defining Genomic Probability of Progression to Identify Low-Risk Smoldering Multiple Myeloma

Blood ◽  
2021 ◽  
Vol 138 (Supplement 1) ◽  
pp. 545-545
Author(s):  
Anil Aktas-Samur ◽  
Mariateresa Fulciniti ◽  
Sanika Derebail ◽  
Raphael Szalat ◽  
Giovanni Parmigiani ◽  
...  
Keyword(s):  
Multiple Myeloma ◽  
High Risk ◽  
High Sensitivity ◽  
Mutational Load ◽  
Newly Diagnosed ◽  
Genomic Features ◽  
Genomic Deletions ◽  
Smoldering Multiple Myeloma ◽  
Short Period

Abstract On an average, 1% of monoclonal gammopathy of undermined significance (MGUS) and 10% of smoldering Multiple Myeloma (SMM) progress to symptomatic MM every year within the first five years of diagnosis. The probability of progression significantly decreases for SMM patients after first 5 years. However, a distinct subset of SMM patients progress within 2 years and are re-classified as high-risk patients based on risk markers such as 20/2/20 or certain genomic features. Although recent studies have evaluated the high-risk genomic features for SMM but genomic background of SMM patients who do not progress to MM after long-term follow-up (>= 5 years) has not been described. Here, we evaluated transcriptomic and genomic changes enriched in non-progressor (NP) (no progression after 5 years of follow-up) precursor conditions (N=31) with those progressed within short period of time (N=71) and compared them with changes observed in newly diagnosed MM (N=192). Additionally, using transcriptome, epigenome and whole genome profiling we also studied additional unique samples from 18 patients at their precursor stage as well as when progressed to MM. Overall, we have observed significantly lower mutational load for NP SMM from progressor SMM (median SNV 4900 vs. 7881 p < 3e-04) with high sensitivity (0.83) and specificity (0.65) to separate NP from progressors. We have further developed a deep learning model by using more than 4500 genome wide features using ten-fold cross validation. This model indicated that not only the load but also the patterns of mutations (type, location, frequency) are different between two conditions. We also found that NP samples have significantly lower heterogeneity (p < 0.05). However, progressed samples showed similar mutational load and heterogeneity at precursor stage and MM. Among CNA differences, absence of gain or deletion of chr8 (not involving MYC region) were strong predictor of NP (OR=7.2 95% CI 2.2-24). Focal genomic loss was also significantly lower for NP (p=0.004) which was also reflected by low genome scar score (GSS) (p=0.07). Structural variant and copy number signature analysis also showed that NPs were showing significantly low exposure to non-clustered variable size genomic deletions. We observed similar frequency of primary translocations [t(11;14), t(4;14), and t(14;16)] in both progressor and NP samples as well as newly diagnosed MM. MYC translocation with any partner was not observed in NP samples, whereas 37% of progressor samples had a MYC translocations (OR=12.8). Adding all these differences including chr8 CNAs, MYC translocations, mutation burden, GSS, focal deletions, all driver mutations as well as primary translocations into recursive partitioning model to predict non-progressor SMM, we have identified a simple genomic model only involving chr8 CN changes and overall mutational burden to achieve a high sensitivity (0.82) and specificity (74%). Our transcriptomic analysis measured the distance between progressor and NP SMM as well as MM and found that NP SMM has greater difference with MM which is closer to progressor SMM. We quantified transcriptomic heterogeneity by using molecular degree of perturbation. This analysis showed that consistent with DNA changes, DNA repair pathway and MYC target genes are expressed similarly in NP SMM as in normal plasma cells compared to progressor SMM. Epigenomic analysis yielded 75 SEs regions differentially utilized between precursor and symptomatic MM stage using paired samples. The targeted genes included BMP6, PRDM1, STAT1, SERTAD2 and RAB21 and possibly regulating genes related to oncogenic KRAS activities. In conclusion, we define genomic characterization of non-progressor SMM and our results now provide the basis to develop molecular definition of SMM as well as risk driving features. Disclosures Munshi: Janssen: Consultancy; Pfizer: Consultancy; Legend: Consultancy; Novartis: Consultancy; Adaptive Biotechnology: Consultancy; Oncopep: Consultancy, Current equity holder in publicly-traded company, Other: scientific founder, Patents & Royalties; Takeda: Consultancy; Abbvie: Consultancy; Karyopharm: Consultancy; Amgen: Consultancy; Celgene: Consultancy; Bristol-Myers Squibb: Consultancy.

scholarly journals Daratumumab monotherapy for patients with intermediate-risk or high-risk smoldering multiple myeloma: a randomized, open-label, multicenter, phase 2 study (CENTAURUS)

Leukemia ◽  
2020 ◽  
Vol 34 (7) ◽  
pp. 1840-1852 ◽  
Author(s):  
C. Ola Landgren ◽  
Ajai Chari ◽  
Yael C. Cohen ◽  
Andrew Spencer ◽  
Peter Voorhees ◽  
...  
Keyword(s):  
Multiple Myeloma ◽  
High Risk ◽  
Primary Endpoint ◽  
Total Duration ◽  
Intermediate Risk ◽  
Active Monitoring ◽  
Death Rates ◽  
Smoldering Multiple Myeloma ◽  
Number Of Patients

Abstract Current guidelines for smoldering multiple myeloma (SMM) recommend active monitoring until the onset of multiple myeloma (MM) before initiating treatment or enrollment in a clinical trial. Earlier intervention may delay progression to MM. In CENTAURUS, 123 patients with intermediate-risk or high-risk SMM were randomly assigned to daratumumab 16 mg/kg intravenously on extended intense (intense), extended intermediate (intermediate), or short dosing schedules. At the prespecified primary analysis (15.8-month median follow-up), the complete response (CR) rates (co-primary endpoint) were 2.4%, 4.9%, and 0% for intense, intermediate, and short dosing, respectively; the co-primary endpoint of CR rate >15% was not met. Progressive disease (PD)/death rates (number of patients who progressed or died divided by total duration of progression-free survival [PFS] in patient-years; co-primary endpoint) for intense, intermediate, and short dosing were 0.055 (80% confidence interval [CI], 0.014–0.096), 0.102 (80% CI, 0.044–0.160), and 0.206 (80% CI, 0.118–0.295), respectively, translating to a median PFS ≥24 months in all arms (P < 0.0001, <0.0001, and =0.0213, respectively). With longer follow-up (median follow-up, 25.9 months), CR rates were 4.9%, 9.8%, and 0% for intense, intermediate, and short dosing, respectively. PD/death rates for intense, intermediate, and short dosing were 0.059 (80% CI, 0.025–0.092), 0.107 (80% CI, 0.058–0.155), and 0.150 (80% CI, 0.089–0.211), respectively, again translating to a median PFS ≥ 24 months in all arms (P < 0.0001 for all arms). Twenty-four–month PFS rates were 89.9% (90% CI, 78.5–95.4%), 82.0% (90% CI, 69.0–89.9%), and 75.3% (90% CI, 61.1–85.0%) for intense, intermediate, and short dosing, respectively. Pharmacokinetic analyses indicated that intense dosing maintained target-saturating trough concentrations in most patients throughout weekly, every-2-week, and every-4-week dosing periods. No new safety signals were observed. These data provide the basis for an ongoing phase 3 study of daratumumab in SMM.

Persistent Improvement In Clinical Outcomes With Bortezomib-Thalidomide-Dexamethasone Vs Thalidomide-Dexamethasone Incorporated Into Double Autologous Transplantation For Multiple Myeloma: An Updated Analysis Of Phase 3 Gimema-MMY-3006 Study

Blood ◽  
2013 ◽  
Vol 122 (21) ◽  
pp. 2090-2090 ◽  
Author(s):  
Michele Cavo ◽  
Monica Galli ◽  
Annalisa Pezzi ◽  
Francesco Di Raimondo ◽  
Claudia Crippa ◽  
...  
Keyword(s):  
Multiple Myeloma ◽  
High Risk ◽  
Board Of Directors ◽  
Low Risk ◽  
Standards Of Care ◽  
Consolidation Therapy ◽  
Phase 3 ◽  
Advisory Committees ◽  
Cox Regression Analysis

Abstract Over the last years, incorporation of novel agents into autologous stem cell transplantation (ASCT) has improved markedly the outcomes of younger patients with newly diagnosed multiple myeloma (MM). Superior results with experimental treatments vs previous standards of care have been frequently reported after preliminary analyses and need to be confirmed with longer follow up. The randomized phase 3 GIMEMA-MMY-3006 study was designed to compare bortezomib-thalidomide-dexamethasone (VTD) vs thalidomide-dexamethasone (TD) as induction therapy before, and consolidation after, double ASCT. Data from the initial analysis, with a median follow up of 36 months, demonstrated that patients randomized to the VTD arm enjoyed superior complete/near complete response (CR/nCR) rates after both induction and consolidation therapy, and had a significantly longer PFS compared to those prospectively assigned to the TD arm. We performed an updated analysis of the study after a median follow up of 59 months and results are herein reported. A persistent TTP and PFS benefit with incorporation of VTD into ASCT was confirmed. On an intention-to-treat analysis of 236 patients randomized to the VTD arm, median TTP was 62 months and median PFS was 57 months. The median values for 238 patients randomly assigned to the TD arm were 45 months for TTP (HR=0.64, p=0.001) and 42 months for PFS (HR=0.66, p=0.001) (Fig. 1). With the longer follow up of this analysis, an initial divergence between OS curves could be appreciated after 4 years, although the difference was not yet statistically significant at 6 years (75% for VTD vs 69% for TD). Superiority of VTD over TD for TTP and PFS was retained across prespecified subgroups of patients with high risk and low risk disease. In particular, PFS benefit with VTD was seen for patients age >60 years (HR=0.62, p=0.013) and younger than 60 years (HR=0.70, p=0.026), with ISS stage 1 (HR=0.59, p=0.009) and ISS stage 2-3 (HR=0.69, p=0.018), and for those with t(4;14) and/or del(17p) (HR=0.43, p<0.001) and with t(4;14) alone [t(4;14) positivity but lack of del(17p)] (HR=0.41, p=0.001). In comparison with patients with t(4;14) positivity who were randomized to TD, those assigned to the VTD arm had significantly longer PFS (median: 24 vs 53 months, HR=0.41, p=0.0007) (Fig. 2) and a trend towards longer OS (4-year estimates: 66% vs 81%, p=0.052). By the opposite, similar PFS curves were seen for patients in the VTD group regardless of the presence or absence of t(4;14) (Fig. 3). On multivariate Cox regression analysis, randomization to the VTD arm was an independent factor predicting for prolonged PFS (HR=0.64, P=0.001). Additional disease- and treatment-related variables independently affecting PFS included attainment of CR/nCR after both induction (HR=0.64, p=0.010) and consolidation therapy (HR=0.57, p<0.001), β2-m >3.5 mg/L (HR=1.7, p<0.001) and presence of t(4;14) and/or del(17p) (HR=2.0, p<0.001). On multivariate analysis, β2-m, cytogenetic abnormalities and attainment of CR/nCR after consolidation therapy were independently associated with OS. With an updated median follow-up of 49 months from the landmark of starting consolidation therapy, median PFS was 50 months for patients receiving VTD consolidation and 38 months for those treated with TD (HR= 0.69, P=0.015) (Fig. 4). Superior PFS with VTD vs TD consolidation therapy was observed for patients who failed CR/nCR after the second ASCT (HR=0.48, P=0.003) and was retained in both low risk and high risk subgroups. Finally, duration of OS from relapse or progression was similar between the two treatment groups (median, 42 for VTD vs 35 months for TD, p=0.47), even when bortezomib was incorporated into salvage therapy. In conclusion, this updated analysis of the GIMEMA-MMY-3006 study demonstrated: 1) a persistent PFS benefit with VTD vs TD in the overall population, as well as in subgroups of patients with high risk and low risk MM; 2) the ability of VTD, but not of TD, incorporated into double ASCT to overcome the adverse prognosis related to t(4;14); 3) the significant contribution of VTD consolidation to improved outcomes seen for patients randomized to the VTD arm; 4) the lack of more resistant relapse after exposure to VTD as induction and consolidation therapy compared to TD. A longer follow up is required to assess the OS benefit, if any, with VTD plus double ASCT. Disclosures: Cavo: Bristol-Myers Squibb: Consultancy, Honoraria, Membership on an entity’s Board of Directors or advisory committees; Onyx: Consultancy, Honoraria, Membership on an entity’s Board of Directors or advisory committees; Millennium: Consultancy, Honoraria, Membership on an entity’s Board of Directors or advisory committees; Janssen: Consultancy, Honoraria, Membership on an entity’s Board of Directors or advisory committees; Celgene: Consultancy, Honoraria, Membership on an entity’s Board of Directors or advisory committees. Tacchetti:Janssen and Celgene: Honoraria. Zamagni:Celgene: Honoraria; Janssen-Cilag: Honoraria. Caravita:Celgene: Honoraria, Research Funding. Brioli:Celgene: Honoraria.

Five year follow up of a phase II study of cytotoxic immunotherapy combined with radiation in newly diagnosed prostate cancer

2006 ◽  
Vol 24 (18_suppl) ◽  
pp. 4635-4635 ◽  
Author(s):  
L. K. Aguilar ◽  
B. Teh ◽  
W. Mai ◽  
J. Caillouet ◽  
G. Ayala ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
High Risk ◽  
Controlled Trial ◽  
Pathologic Complete Response ◽  
Low Risk ◽  
Control Group ◽  
Newly Diagnosed ◽  
Kinase Gene ◽  
Cell Immunity

4635 Background: In the U.S. there are about 70,000 annual prostate cancer recurrences. The purpose of this study is to evaluate a product to decrease incidence of recurrence. This study is based on objective clinical responses in Phase I studies with AdV-tk (ProstAtak™, Advantagene, Inc) as monotherapy in recurrent disease and preclinical data demonstrating synergy between AdV-tk and radiation. AdV-tk is an adenoviral vector expressing the herpes thymidine kinase gene delivered to the prostate via TRUS-guided injection followed by 14 days of oral prodrug. The mechanisms of function involve direct tumor cytotoxicity, local elicitation of danger signals, recruitment and activation of antigen presenting cells and stimulation of systemic anti-tumor T-cell immunity. Method: AdV-tk was evaluated in combination with radiation in 66 newly diagnosed patients: 33 low risk (Arm A, PSA <10, Gleason <7, and T1c-T2a) and 33 intermediate-high risk (Arm B, PSA ≥10, Gleason ≥7, or T2b-T3). Arm A received two treatments with AdV-tk, immediately before and 14 days into radiation. Arm B received an additional treatment at initiation of androgen deprivation therapy. Results: Two surrogate and one definitive end-point were evaluated. Frequency of patients in Arm A with PSA nadir ≤0.2 ng/ml was 71% vs 56% in a control group of concurrent patients without AdV-tk. The two-year pathologic complete response (pCR) rate by sextant biopsy was 90% in Arm A and 94% in Arm B, compared to an expected range of 70–73%. Freedom from failure (FFF) after 60 month median follow up is 100% for Arm A and 90% for Arm B (95% for intermediate, 75% for high risk) vs best reported results of 79–90% for low risk and 48–79% for intermediate-high risk patients. The three failures in Arm B occurred within months after treatment leading to a Kaplan-Meier curve that plateaus at 90% beyond year 3. This is notably different than previous reports in which the curves continue to drop beyond year 5. Conclusion: These results suggest that AdV-tk combined with radiation therapy may significantly reduce the recurrence rate in patients with prostate cancer, particularly in patients with intermediate-high risk disease. A randomized controlled trial is warranted. [Table: see text]

scholarly journals Thrombosis and Risk of Mortality in Newly Diagnosed High-Risk Polycythemia Vera: An Analysis of the Medicare Claims Database in the United States

Blood ◽  
2020 ◽  
Vol 136 (Supplement 1) ◽  
pp. 9-10
Author(s):  
Naveen Pemmaraju ◽  
Aaron T. Gerds ◽  
Shreekant Parasuraman ◽  
Jingbo Yu ◽  
Anne Shah ◽  
...  
Keyword(s):  
High Risk ◽  
Median Time ◽  
Research Funding ◽  
Index Date ◽  
Newly Diagnosed ◽  
Publicly Traded ◽  
Risk Of Mortality ◽  
Increased Risk ◽  
History Of

Background Polycythemia vera (PV) is a myeloproliferative neoplasm (MPN) associated with an increased risk of thrombotic events (TEs), a major cause of morbidity and mortality. Patients aged ≥60 years and/or with a history of thrombosis are considered to have high-risk PV. There is limited contemporary, real-world evidence exploring the effect of TEs on mortality in patients with PV. The aim of this analysis was to compare the risk of mortality in patients newly diagnosed with high-risk PV who experienced a TE vs those who did not experience a TE. Study Design and Methods All data from the Medicare Fee-for-Service (FFS) claims database (Parts A/B/D) from January 2010-December 2017 were used to identify patients with a PV diagnosis (all high risk based on cohort being ≥65 years of age) with ≥1 inpatient or ≥2 outpatient claims. The index date was the date of the first qualifying PV claim. Patients with a PV diagnosis or use of cytoreductive therapy within 12 months before the index date (pre-index period) were excluded; ≥12-months continuous medical and pharmacy enrollment pre-index dates was required. The study sample was categorized into TE and non-TE groups based on the occurrence of any of the following events during follow-up: deep vein thrombosis, pulmonary embolism, ischemic stroke, acute myocardial infarction, transient ischemic attack, peripheral arterial thrombosis, or superficial thrombophlebitis. TEs were evaluated from the index date to the end of follow-up. Cox regression analyses with time-varying effects were used to assess mortality risk among patients with PV, with post-index TE as a time-dependent variable, stratified by pre-index TE, and adjusting for patient demographic characteristics and comorbid conditions. Results A total of 56,176 Medicare FFS beneficiaries with PV diagnoses met inclusion criteria. The median age was 73 years, 51.9% were men, and 90.7% were white; 10,110 patients (18.0%) had a history of TE before diagnosis (ie, pre-index). In the follow-up period, 20,105 patients (35.8%) had a TE and 36,071 patients (64.2%) did not have a TE. In the comparison between the TE vs non-TE groups, the median (range) age (75.0 [65-104] vs 73.0 [65-106] years, respectively), mean (SD) Charlson comorbidity index score (3.1 [2.6] vs 2.2 [2.3]), and percentage of patients with a history of cardiovascular events (34.1% vs 23.8%), bleeding (13.3% vs 10.4%), or anemia (28.6% vs 23.4%) were higher (Table 1). Among all patients with PV, the median time from diagnosis to first post-index TE was 7.5 months. Among those with pre-index TE (n=10,093), median time from index to first post-index TE was 0.6 months, whereas patients without pre-index TE (n=46,083) had a median time to first post-index TE of 14.2 months. Among all patients with TE during follow-up, the most common TEs were ischemic stroke (47.5%), transient ischemic attack (30.9%), and acute myocardial infarction (30.5%). The risk of mortality was increased for patients who experienced a TE compared with those who did not (hazard ratio [HR; 95% CI], 9.3 [8.4-10.2]; P&lt;0.0001). For patients who experienced a pre-index TE, the risk of mortality was increased for patients who experienced a subsequent TE during follow-up compared with patients who did not (HR [95% CI], 6.7 [5.8-7.8]; P&lt;0.0001). Likewise, for patients who did not experience a pre-index TE, the risk of mortality was increased for patients who experienced a TE during follow-up compared with patients who did not (HR [95% CI], 13.1 [11.4-15.0]; P&lt;0.0001). Conclusions In this real-world study, approximately one-third of patients with newly diagnosed high-risk PV experienced a TE during follow-up and had a 9-fold increased risk of mortality vs those who did not experience a TE. TE risk mitigation remains an important management goal in patients with PV, particularly in those with prior TE. Disclosures Pemmaraju: Samus Therapeutics: Research Funding; Celgene: Honoraria; SagerStrong Foundation: Other: Grant Support; Affymetrix: Other: Grant Support, Research Funding; MustangBio: Honoraria; Blueprint Medicines: Honoraria; LFB Biotechnologies: Honoraria; Plexxikon: Research Funding; Novartis: Honoraria, Research Funding; AbbVie: Honoraria, Research Funding; Stemline Therapeutics: Honoraria, Research Funding; Pacylex Pharmaceuticals: Consultancy; Daiichi Sankyo: Research Funding; Incyte Corporation: Honoraria; Roche Diagnostics: Honoraria; Cellectis: Research Funding; DAVA Oncology: Honoraria. Gerds:Sierra Oncology: Research Funding; Celgene: Consultancy, Research Funding; Gilead Sciences: Research Funding; Imago Biosciences: Research Funding; Pfizer: Research Funding; CTI Biopharma: Consultancy, Research Funding; Roche/Genentech: Research Funding; Apexx Oncology: Consultancy; AstraZeneca/MedImmune: Consultancy; Incyte Corporation: Consultancy, Research Funding. Parasuraman:Incyte Corporation: Current Employment, Current equity holder in publicly-traded company. Yu:Incyte Corporation: Current Employment, Current equity holder in publicly-traded company. Shah:Avalere Health: Current Employment. Xi:Incyte Corporation: Other: Avalere Health is a paid consultant of Incyte Corporation; Avalere Health: Current Employment. Kumar:Avalere Health: Current Employment; Incyte Corporation: Other: Avalere Health is a paid consultant of Incyte Corporation. Scherber:Incyte Corporation: Current Employment, Current equity holder in publicly-traded company. Verstovsek:Gilead: Research Funding; Incyte Corporation: Consultancy, Research Funding; Novartis: Consultancy, Research Funding; CTI Biopharma Corp: Research Funding; Promedior: Research Funding; Roche: Research Funding; AstraZeneca: Research Funding; Blueprint Medicines Corp: Research Funding; Genentech: Research Funding; Sierra Oncology: Consultancy, Research Funding; Protagonist Therapeutics: Research Funding; ItalPharma: Research Funding; PharmaEssentia: Research Funding; NS Pharma: Research Funding; Celgene: Consultancy, Research Funding.

scholarly journals EARLY Results of TOTAL Therapy 7 (TT7): High Response Rates of NEWLY Diagnosed High Risk Myeloma to Daratumumab

Blood ◽  
2019 ◽  
Vol 134 (Supplement_1) ◽  
pp. 4569-4569 ◽  
Author(s):  
Frits van Rhee ◽  
Sharmilan Thanendrarajan ◽  
Carolina D. Schinke ◽  
Jeffery R. Sawyer ◽  
Adam Rosenthal ◽  
...  
Keyword(s):  
Multiple Myeloma ◽  
High Risk ◽  
Board Of Directors ◽  
Research Funding ◽  
Response Rates ◽  
Newly Diagnosed ◽  
Advisory Committees ◽  
Early Results ◽  
Research Grant

Background. The TT approach has significantly improved the outcome of multiple myeloma (MM) by combining new drugs with a regimen that comprises induction, tandem autologous stem cell transplantation (ASCT), consolidation and maintenance. However, a group of 15% of patients with high risk multiple myeloma (HRMM) have derived little benefit despite similar response rates to induction chemotherapy and ASCT when compared to low risk MM. The poor outcome of HRMM is explained by early relapse post ASCT resulting in a short progression free survival (PFS) with only 15-20% of patients surviving long-term. Daratumumab (Dara) is a human IgG1k anti-CD38 monoclonal antibody that has shown favorable results in early single-arm studies and more recently in phase III studies for relapsed/refractory and newly diagnosed MM. In TT7, we introduced Dara during all phases of therapy, including immune consolidation early post ASCT, to improve responses rate and PFS in HRMM. Methods. Patients had newly diagnosed HRMM as defined by high risk cytogenetic abnormalities, presence of extramedullary disease, >3 focal lesions on CT-PET, elevated LDH due to MM, or ISS II/III with cytogenetic abnormality. Dara (16mg/kgx1) was added to induction with KTD-PACE (carfilzomib, thalidomide, dexamethasone; and four-day continuous infusions of cisplatin, doxorubicin, cyclophosphamide, etoposide). Conditioning for tandem autologous stem cell transplantation (ASCT) was with fractionated melphalan (50mg/m2x4) (fMEL) based on prior observations that patients with adverse cytogenetics fare better with fMEL rather than single high dose MEL200mg/m2.In the inter tandem ASCT period immunological consolidation with Dara (16mg/kg) alone for 2 doses was followed by Dara (16mg/kg) on day 1 combined with K (36mg/m2) and D (20mg) weekly for 2 cycles. DaraKD was administered to avoid treatment free periods allowing for myeloma regrowth. The 2nd ASCT was followed by further immunological consolidation with Dara (16mg/k) for 2 doses, and maintenance therapy for 3 yrs with 3-months block of alternating Dara-KD (dara 16mg/kg day 1; K 36mg/m2 and dex 20mg weekly) and Dara-lenalidomide (R)D (dara 16mg/kg day 1; R 15mg day 1-21 q28 and D 20mg weekly). Results. TT7 enrolled 43 patients thus far. The median follow-up was 11 months (range: 1-22). The median age was 61 yrs (range 44-73). Sixteen patients were ≥65 yrs (37.2%). A mean of 29.4x106 CD34+ cells/kg (range: 4.6-86.4) were collected. 36 patients completed ASCT #1 (83.7%) and 18 (41.9%) ASCT #2, whilst 14 patients have proceeded to the maintenance phase. R-ISS II/III or metaphase cytogenetic abnormalities were present in 85.1 and 58.1% of patients, respectively. Elevated LDH or >3FL on CT-PET were noted in 30 and 41.8%. The 1-yr cumulative incidence estimates for reaching VGPR and PR were 87 and 83%, respectively. A CR or sCR was achieved in 68 and 46%. The 1-yr estimates of PFS and OS were 91.6 and 87.2%. 40 subjects are alive, whilst 5 progressed on study therapy and 3 subsequently died. 38 patients are progression free at the time of reporting. Dara was well-tolerated and no subjects discontinued therapy due to dara-related side effects. The CR and sCR rates compared favorably to the predecessor HRMM TT5 protocol where CR and sCR rates were 59 and 27%. Conclusion. The early results of TT7 point to increased response rates of HRMM to a dara-based TT regimen with especially higher rates of CR and sCR. Longer follow-up is required to determine if these early results translate into superior PFS and OS. Figure Disclosures van Rhee: Karyopharm Therapeutics: Consultancy; Kite Pharma: Consultancy; Adicet Bio: Consultancy; Takeda: Consultancy; Sanofi Genzyme: Consultancy; Castleman Disease Collaborative Network: Consultancy; EUSA: Consultancy. Walker:Celgene: Research Funding. Morgan:Amgen, Roche, Abbvie, Takeda, Celgene, Janssen: Honoraria, Membership on an entity's Board of Directors or advisory committees; Celgene: Other: research grant, Research Funding. Davies:Amgen, Celgene, Janssen, Oncopeptides, Roche, Takeda: Membership on an entity's Board of Directors or advisory committees, Other: Consultant/Advisor; Janssen, Celgene: Other: Research Grant, Research Funding.

scholarly journals Long-Term Outcomes of Allogeneic Hematopoietic Cell Transplantation in Patients Enrolled in CPX-351-301, a Randomized Phase 3 Study of CPX-351 Versus 7+3 in Older Adults with Newly Diagnosed, High-Risk and/or Secondary AML

Blood ◽  
2020 ◽  
Vol 136 (Supplement 1) ◽  
pp. 44-45
Author(s):  
Geoffrey L Uy ◽  
Laura F. Newell ◽  
Tara Lin ◽  
Stuart L. Goldberg ◽  
Matthew J. Wieduwilt ◽  
...  
Keyword(s):  
Older Adults ◽  
High Risk ◽  
Research Funding ◽  
Hematopoietic Cell Transplantation ◽  
Newly Diagnosed ◽  
Publicly Traded ◽  
Phase 3 ◽  
Secondary Aml ◽  
Donor Type

Background: CPX-351 is a liposomal encapsulation of daunorubicin and cytarabine in a 1:5 molar ratio. In a randomized phase 3 study (CPX-351-301) conducted in older adults (60 to 75 years old) with newly diagnosed, high-risk and/or secondary AML, CPX-351 induction therapy was superior to standard 7+3 with improved rates of complete remission (CR) and overall survival (OS). In both older adults and high-risk AML, allogeneic hematopoietic cell transplantation (HCT) is frequently the preferred post-remission strategy owing to the high rates of relapse and poor overall survival with conventional chemotherapy approaches. After a median follow-up of 20.7 months, the primary pre-planned analysis found that more patients randomized to CPX-351 underwent HCT and an exploratory landmark survival analysis from the time of HCT favored CPX-351 (HR = 0.46 [95% CI: 0.24, 0.89]; one-sided P = 0.009). However, the initial protocol did not collect data related to HCT and the basis for improved HCT outcomes with CPX-351 was previously unknown. Here we present a detailed analysis of HCT outcomes in patients enrolled in the CPX-351-301 study with 5-years of follow-up. Methods: Patients age 60 to 75 years with high-risk and/or secondary AML were randomized in a 1:1 fashion to receive CPX-351 or 7+3 as induction and consolidation chemotherapy (Lancet J et al, JCO 2018). The protocol was amended to collect additional HCT-specific information, including donor and HCT characteristics and post-HCT outcomes, including rates of relapse and GVHD. Post-HCT outcomes including relapse, GVHD, and death were analyzed as competing events. Results: Of 309 randomized patients in the CPX-351-301 study, more patients achieved CR/CRi with CPX-351 vs 7+3 (48% vs 33%) allowing more patients to proceed to HCT (35% vs 25%) and more patients to proceed to HCT in remission (CPX-351: 41/73 [56%]; 7+3: 24/52 [46%]). The median age was 66 years with CPX-351 vs 65 years with standard induction among the transplanted cohorts; 16 patients in the CPX-351 transplanted arm were over the age of 70 compared to only 6 in the 7+3 arm. Other pre-HCT patient characteristics were balanced between the CPX-351 and 7+3 groups, including ECOG performance status (8% vs 5% with ECOG PS of 2), HCT-CI (median 4 vs 3), donor type (matched unrelated donor 49% vs 49%), and conditioning regimen intensity (myeloablative [17% vs 13%] vs reduced-intensity conditioning [43% vs 46%]). The Kaplan-Meier-estimated 3-year survival rate among transplanted patients was 56% with CPX-351 vs 23% with 7+3 (Figure 1A). The differences in survival consistently favored CPX-351 across patient age, AML subtype, disease status, donor type, and conditioning intensity (Figure 1B). Differences in OS were driven by a large reduction in non-relapse mortality (HR = 0.42 [95% CI: 0.21, 0.86]; Figure 1D). The cumulative incidence of acute GVHD with death as a competing event at 6 months from HCT date was 0.49 (95% CI: 0.35, 0.62) in the CPX-351 arm and 0.38 (95% CI: 0.23, 0.53) in the 7+3 arm. Conclusions: Analysis of HCT outcomes in patients enrolled in the CPX-351-301 study demonstrated that treatment with CPX-351 in older adults with high-risk and/or secondary AML resulted in more patients bridged to HCT and more patients transplanted in CR/CRi compared to 7+3, with improved OS in transplanted patients. The pattern of HCT outcomes suggests improved disease control with CPX-351 induction allowing higher HCT rates, but more importantly improved tolerability with less non-relapse mortality; this data supports the development of CPX-351 in other high-risk AML populations in which allogeneic HCT is the preferred post-remission strategy. Figure Disclosures Uy: Genentech: Consultancy; Agios: Consultancy; Pfizer: Consultancy; Daiichi Sankyo: Consultancy; Astellas Pharma: Honoraria; Jazz Pharmaceuticals: Consultancy. Lin:Abbvie: Research Funding; Pfizer: Research Funding; Trovagene: Research Funding; Prescient Therapeutics: Research Funding; Tolero Pharmaceuticals: Research Funding; Seattle Genetics: Research Funding; Ono Pharmaceutical: Research Funding; Genetech-Roche: Research Funding; Incyte: Research Funding; Jazz: Research Funding; Mateon Therapeutics: Research Funding; Gilead Sciences: Research Funding; Celyad: Research Funding; Celgene: Research Funding; Bio-Path Holdings: Research Funding; Astellas Pharma: Research Funding; Aptevo: Research Funding. Wieduwilt:Reata Pharmaceuticals: Current equity holder in publicly-traded company; Daiichi Sankyo: Membership on an entity's Board of Directors or advisory committees; Shire: Research Funding; Merck: Research Funding; Leadiant: Research Funding; Amgen: Research Funding; Macrogeneics: Research Funding. Ryan:Jazz Pharmaceuticals: Current Employment, Current equity holder in publicly-traded company. Faderl:Jazz Pharmaceuticals: Current Employment, Current equity holder in publicly-traded company. Lancet:Abbvie: Consultancy; Agios Pharmaceuticals: Consultancy, Honoraria; Astellas Pharma: Consultancy; Celgene: Consultancy, Research Funding; Daiichi Sankyo: Consultancy; ElevateBio Management: Consultancy; Jazz Pharmaceuticals: Consultancy; Pfizer: Consultancy.

scholarly journals Circulating Plasma Cells as a Biomarker to Predict Newly Diagnosed Multiple Myeloma Prognosis: Developing Nomogram Prognostic Models

2021 ◽  
Vol 11 ◽  
Author(s):  
Qianwen Cheng ◽  
Li Cai ◽  
Yuyang Zhang ◽  
Lei Chen ◽  
Yu Hu ◽  
...  
Keyword(s):  
Multiple Myeloma ◽  
High Risk ◽  
Plasma Cells ◽  
Validation Cohort ◽  
Risk Group ◽  
High Risk Group ◽  
Low Risk ◽  
Newly Diagnosed ◽  
Training Cohort ◽  
Entire Cohort

Background: To investigate the prognostic value of circulating plasma cells (CPC) and establish novel nomograms to predict individual progression-free survival (PFS) as well as overall survival (OS) of patients with newly diagnosed multiple myeloma (NDMM).Methods: One hundred ninetyone NDMM patients in Wuhan Union Hospital from 2017.10 to 2020.8 were included in the study. The entire cohort was randomly divided into a training (n = 130) and a validation cohort (n = 61). Univariate and multivariate analyses were performed on the training cohort to establish nomograms for the prediction of survival outcomes, and the nomograms were validated by calibration curves.Results: When the cut-off value was 0.038%, CPC could well distinguish patients with higher tumor burden and lower response rates (P &lt; 0.05), and could be used as an independent predictor of PFS and OS. Nomograms predicting PFS and OS were developed according to CPC, lactate dehydrogenase (LDH) and creatinine. The C-index and the area under receiver operating characteristic curves (AUC) of the nomograms showed excellent individually predictive effects in training cohort, validation cohort or entire cohort. Patients with total points of the nomograms ≤ 60.7 for PFS and 75.8 for OS could be defined as low-risk group and the remaining as high-risk group. The 2-year PFS and OS rates of patients in low-risk group was significantly higher than those in high-risk group (p &lt; 0.001).Conclusions: CPC is an independent prognostic factor for NDMM patients. The proposed nomograms could provide individualized PFS and OS prediction and risk stratification.

scholarly journals Real World Validation of VTE Risk Models in Newly Diagnosed Multiple Myeloma in a Community Setting

Blood ◽  
2021 ◽  
Vol 138 (Supplement 1) ◽  
pp. 2971-2971
Author(s):  
Shivani Kapur ◽  
Kayla Feehan ◽  
Samuel Mosiman ◽  
Susan Frankki ◽  
Lori J Rosenstein
Keyword(s):  
Multiple Myeloma ◽  
High Risk ◽  
Risk Group ◽  
Community Setting ◽  
Low Risk ◽  
Intermediate Risk ◽  
Start Date ◽  
Kaplan Meier ◽  
Therapeutic Anticoagulation

Abstract Background: Multiple Myeloma (MM) is associated with increased risk for venous thromboembolism (VTE). Treatment, such as dexamethasone, immunomodulatory drugs (IMID), alkylating agents, and doxorubicin, alter hemostatic pathways and thus promote thrombogenesis 1. MM patients with VTE have a 3-fold increase in mortality compared to those without VTE, so identifying those at risk and aiming to prevent VTE events is important 2. Several clinical VTE risk prediction scores have been developed, including the SAVED score, IMPEDE VTE score, and more recently the PRISM score 2,4,5. The National Comprehensive Cancer Network suggests that patient with MM on IMID therapy should be on aspirin, or therapeutic anticoagulation for those at "high risk"3. However, it remains unclear which risk model, if any, should be used.Our objective was to validate the three published risk assessment tools in a community setting and assess the predictive ability of each. Methods: We conducted a retrospective chart review of all patients with newly diagnosed multiple myeloma who started chemotherapy at Gundersen Health System (La Crosse, WI) between 2010 and 2020 who had at least 6 months of follow up documented. Patients with prior indication for ongoing therapeutic anticoagulation or a diagnosis of VTE within 6 months prior to starting therapy were excluded. Total scores for IMPEDE VTE, SAVED and PRISM scores were calculated from the chemotherapy start date. Statistical analysis included Chi-square, Fisher's exact and Wilcoxon rank sum tests, and Kaplan Meier survival analysis. A p-value ≤ 0.05 was considered significant and all analysis was completed in SAS version 9.4. Results: Our cohort contained 123 patients diagnosed with MM. Average age was 68 years (SD 12.1, range 37-92). Our study included 68 (55%) males and 55 (45%) females with 121 (98%) being White/Caucasian. The mean BMI of patients was 29.4 kg/m2 (SD 7.0, range 18.6-54.4). Kaplan Meier survival analysis showed a 5-year survival rate of 53.1% (95% CI [42.7%, 63.4%]). In the entire cohort, 10 (8.1%) patients were diagnosed with VTE (as compared to 5.8% in IMPEDE study, 8.7% in SAVED study and 8.2% in PRISM study) with 80.0% occurring within 6 months of treatment start date. Aspirin was the most frequently used agent for thromboprophylaxis with 88 (86.3%) patients receiving either 81, 162, or 325 mg of aspirin. IMID therapy was given to 76 (61.8%) patients, 114 (92.7%) received dexamethasone and 114 (92.7%) received proteasome inhibitors. Amongst those on IMIDs, 72 (94.7%) patients received prophylaxis, most commonly aspirin. Abnormal metaphase cytogenetics were noted in 104 (85.4%) patients. Neither the IMPEDE VTE (p=0.6), SAVED (p=0.9) nor PRISM risk scores (p=0.3) were able to statistically predict VTE outcome in our patient population. Using the IMPEDE score, 7 patients in the intermediate risk group and 3 patients in the low-risk group had a VTE. In the SAVED model, 5 patients in the low-risk group and 5 patients in the high-risk group had a VTE. Using the PRISM risk score, all 10 of the patients with VTE were in the intermediate risk group. Most patients who were on IMID therapy fell into the intermediate risk group on the IMPEDE VTE and PRISM scoring systems, and the SAVED score had an approximately equal patient distribution between the high risk and low risk group. Conclusions: Our patients with multiple myeloma had similar rates of VTE as compared to the published models, with the majority occurring in the first 6 months of chemotherapy. In total, our patients on IMID therapy received appropriate prophylaxis with aspirin. Overall, 8.1% of our patients had a VTE event. However, none of the three risk models were able to predict the development of VTE. In fact, many of the VTE events occurred in patients who were felt to be low or intermediate risk. While the sample size is small and from a single health system, we had excellent follow up and ability to closely examine each chart for treatment and outcomes. Further efforts should focus on collaboration across institutions to increase the sample size, to validate and compare existing models. The majority of myeloma treatment occurs in the community; thus, it is important to ensure the findings are reproducible in that patient population. Disclosures No relevant conflicts of interest to declare.

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