scholarly journals Three-Dimensional Telomere Analysis Using Teloview® Technology Identifies Smouldering Myeloma Patients with High Risk of Progression to Full Stage Multiple Myeloma in a Proof of Concept Cohort

Blood ◽  
2020 ◽  
Vol 136 (Supplement 1) ◽  
pp. 19-20
Author(s):  
Sherif Louis ◽  
Aline Rangel-Pozzo ◽  
Hans Knecht ◽  
Sabine Mai
Keyword(s):  
Multiple Myeloma ◽  
High Risk ◽  
Disease Progression ◽  
Survival Rates ◽  
Three Dimensional ◽  
Proof Of Concept ◽  
Publicly Traded ◽  
Therapeutic Modalities ◽  
Risk Of Progression ◽  
First Time

Multiple Myeloma (MM) remains incurable in spite of the recent development of several advanced therapeutic modalities. Similar to other incurable diseases, the early diagnosis and treatment of MM patients may lead to better prognosis and increased survival rates. Multiple myeloma follows two asymptomatic precursor lesions, monoclonal gammopathy of undetermined significance (MGUS) and smouldering myeloma (SMM) [1]. In current clinical practice patients diagnosed with MGUS or SMM are monitored but not treated. MGUS and SMM may progress to the full stage of multiple myeloma at any time without clinically detectable signals. While 1% of MGUS patients progress to full stage MM every year, 10% of SMM patients progress to full stage MM every year [1]. In this study, we report for the first time that the 3-dimensional telomeres analysis using the TeloView® software platform is able to identify SMM patients with high risk of progression to full stage MM. The prospective study we conducted included a proof of concept cohort of total 21 SMM patients, 16 patients that remained stable for over 5 years, and 5 patients progressed to full stage multiple myeloma within 1 to 3 years from point of diagnosis. The disease progression of high risk SMM patients was confirmed clinically by MM caused morbidity. TeloView® analysis of the 2 SMM patient-groups revealed with high significance (p <0.001) distinct telomeres profiles of the stable patients versus the patients who progressed to full stage MM across 5 independent telomeric parameters measured by TeloView®. The study was conducted blindly on the diagnostic specimens suggesting the ability of TeloView® analysis to stratify SMM patients at point of diagnosis. The results we report have the potential, for the first time, to guide evidence-based decisions to treat SMM patients with high risk of progression, addressing a critical unmet clinical need in the management of MM. Follow up studies including expanded cohorts are needed to validate the results of this study, and to confirm the utility of TeloView® technology to predict the progression of SMM patients on the level of the individual patient. References: Boutros M. et al Genomic Profiling of Smouldering Multiple Myeloma Identifies Patients at a High Risk of Disease Progression. J Clin Oncol. 2020 Jul 20;38(21):2380-2389 Disclosures Louis: Telo Genomics Corp.: Consultancy, Current equity holder in publicly-traded company. Knecht:Telo Genomics Corp.: Consultancy, Current equity holder in publicly-traded company. Mai:Telo Genomics Corp.: Consultancy, Current equity holder in publicly-traded company.

scholarly journals Genomic Profiling of Smoldering Multiple Myeloma Identifies Patients at a High Risk of Disease Progression

2020 ◽  
Vol 38 (21) ◽  
pp. 2380-2389 ◽  
Author(s):  
Mark Bustoros ◽  
Romanos Sklavenitis-Pistofidis ◽  
Jihye Park ◽  
Robert Redd ◽  
Benny Zhitomirsky ◽  
...  
Keyword(s):  
Multiple Myeloma ◽  
High Risk ◽  
Disease Progression ◽  
Genetic Alterations ◽  
Copy Number Variations ◽  
Mitogen Activated Protein Kinase ◽  
Prognostic Models ◽  
Single Nucleotide Variants ◽  
Smoldering Multiple Myeloma ◽  
Risk Of Progression

PURPOSE Smoldering multiple myeloma (SMM) is a precursor condition of multiple myeloma (MM) with a 10% annual risk of progression. Various prognostic models exist for risk stratification; however, those are based on solely clinical metrics. The discovery of genomic alterations that underlie disease progression to MM could improve current risk models. METHODS We used next-generation sequencing to study 214 patients with SMM. We performed whole-exome sequencing on 166 tumors, including 5 with serial samples, and deep targeted sequencing on 48 tumors. RESULTS We observed that most of the genetic alterations necessary for progression have already been acquired by the diagnosis of SMM. Particularly, we found that alterations of the mitogen-activated protein kinase pathway ( KRAS and NRAS single nucleotide variants [SNVs]), the DNA repair pathway (deletion 17p, TP53, and ATM SNVs), and MYC (translocations or copy number variations) were all independent risk factors of progression after accounting for clinical risk staging. We validated these findings in an external SMM cohort by showing that patients who have any of these three features have a higher risk of progressing to MM. Moreover, APOBEC associated mutations were enriched in patients who progressed and were associated with a shorter time to progression in our cohort. CONCLUSION SMM is a genetically mature entity whereby most driver genetic alterations have already occurred, which suggests the existence of a right-skewed model of genetic evolution from monoclonal gammopathy of undetermined significance to MM. We identified and externally validated genomic predictors of progression that could distinguish patients at high risk of progression to MM and, thus, improve on the precision of current clinical models.

Multicenter, Randomized, Open-Label, Phase III Trial of Lenalidomide-Dexamethasone (Len/dex) Vs Therapeutic Abstention in Smoldering Multiple Myeloma at High Risk of Progression to Symptomatic MM: Results of the First Interim Analysis.

Blood ◽  
2009 ◽  
Vol 114 (22) ◽  
pp. 614-614 ◽  
Author(s):  
Maria-Victoria Mateos ◽  
Lucía López-Corral ◽  
Miguel T Hernández ◽  
Javier de la Rubia ◽  
Juan José Lahuerta ◽  
...  
Keyword(s):  
Multiple Myeloma ◽  
High Risk ◽  
Disease Progression ◽  
Early Treatment ◽  
Interim Analysis ◽  
Phase Iii ◽  
Gi Bleeding ◽  
Phase Iii Trial ◽  
Smoldering Multiple Myeloma ◽  
Risk Of Progression

Abstract Abstract 614 Smoldering MM (sMM) is a plasma cell (PC) disorder defined by the presence of ≥10% of PC and/or a serum M-component (MC) ≥3g/dl without end-organ damage. Recent studies have identified a subgroup of sMM at high risk of progression to active MM (>50% at 2 y): patients with both PC ≥10% & MC ≥3g/dl (Kyle R. NEJM 2007) or ≥95% aberrant PC (aPC) by immunophenotyping (Pérez E. Blood 2007) or abnormal FLCs (Dispenzieri A. Blood 2008). Standard of care for sMM is monitoring without treatment until disease progression. Several small studies have explored the value of early treatment with either conventional agents (melphalan/prednisone) or novel drugs (thalidomide, interleukin-1b), with no clear benefit. It should be noted that these trials didn't focus on high-risk sMM. In this phase III trial we investigated whether early treatment prolongs the time to progression (TTP) in sMM patients at high risk of progression to active MM. Patients were randomized to receive Len-dex versus no treatment. The high risk population was defined by the presence of both PC ≥10% and MC ≥3g/dl or if only one criterion was present, patients must have a proportion of aPC within the total PCBM compartment by immunophenotyping of ≥95% plus immunoparesis. 120 patients are planned to be recruited. The 60 patients randomized to the Len-dex arm receive nine four-weeks cycles of lenalidomide at dose of 25 mg daily on days 1-21 plus dexamethasone at dose of 20 mg daily on days 1-4 and 12-15 (total dose: 160mg) (induction phase); subsequently maintenance with Lenalidomide at dose of 10 mg on days 1-21 every two months administered until disease progression. Between October 2006 and June 2008, 80 patients were randomized. In this interim analysis, we present the first 40 patients recruited. According to baseline characteristics, both groups were well balanced. In an ITT analysis (n=40), based on IMWG criteria, the overall response rate was 90%, including 53% PR, 21% VGPR, 11% CR and 5% sCR. If we select the group of 16 patients who completed the nine cycles, the ORR was 100%, including 27% VGPR, 13% CR and 7% sCR. After a median follow-up of 16 months (range:12-20), no disease progression was observed in the Len-dex arm, while 8 patients progressed to active MM in the therapeutic abstention arm with a median TTP from inclusion in the trial of 17.5 months (p<0.002). It should be noted that 6 of these 8 patients developed bone lesions as a symptom of active MM. As far as toxicity is concerned, no G4 adverse events (AEs) were reported with Len-dex; 1 pt developed G3 anemia, 2 patients G3 asthenia, 1 pt G3 diarrhea and 3 patients G3 DVT. Serious AEs occurred in 5 patients, 3 of these were dexamethasone-related (GI bleeding, delirium and glaucoma) and 2 were lenalidomide-related (two infections). Two SAEs lead to early discontinuation of the treatment (infection and delirium), and another 2 additional patients discontinued at pt's request. Four patients needed to reduce lenalidomide from 25 to 15 mg due to non-hematological AEs (asthenia (2), diarrhea (1) and GI bleeding (1). In conclusion, these preliminary results show that in sMM patients at high-risk for progression to active MM, delayed treatment is associated with early progression (median time 17.5 months) with bone disease, while so far Len-dex has been able not only to prolong the TTP (without any progression so far) but also to induce CRs with a manageable and acceptable toxicity profile. Disclosures: Mateos: Celgene: Honoraria. Off Label Use: Lenalidomide is not approved for the treatment of smoldering multiple myeloma patients. de la Rubia:Janssen-Cilag: Honoraria; Celgene: Honoraria. Rosiñol:Janssen-Cilag: Honoraria; Celgene: Honoraria. García-Laraña:Janssen-Cilag: Honoraria; Celgene: Honoraria. Palomera:Janssen-Cilag: Honoraria; Celgene: Honoraria. de Arriba:Janssen-Cilag: Honoraria; Celgene: Honoraria. Quintana:Celgene Corporation: Employment. Garcia:Celgene Corporation: Employment. San-Miguel:Celgene Corporation: Honoraria, Speakers Bureau.

scholarly journals New risk model is able to identify patients with a low risk of progression in systemic sclerosis

RMD Open ◽  
2021 ◽  
Vol 7 (2) ◽  
pp. e001524
Author(s):  
Nina Marijn van Leeuwen ◽  
Marc Maurits ◽  
Sophie Liem ◽  
Jacopo Ciaffi ◽  
Nina Ajmone Marsan ◽  
...  
Keyword(s):  
Machine Learning ◽  
Systemic Sclerosis ◽  
High Risk ◽  
Disease Progression ◽  
Risk Model ◽  
Immunosuppressive Drugs ◽  
Low Risk ◽  
Expert Assessment ◽  
Risk Of Progression

ObjectivesTo develop a prediction model to guide annual assessment of systemic sclerosis (SSc) patients tailored in accordance to disease activity.MethodsA machine learning approach was used to develop a model that can identify patients without disease progression. SSc patients included in the prospective Leiden SSc cohort and fulfilling the ACR/EULAR 2013 criteria were included. Disease progression was defined as progression in ≥1 organ system, and/or start of immunosuppression or death. Using elastic-net-regularisation, and including 90 independent clinical variables (100% complete), we trained the model on 75% and validated it on 25% of the patients, optimising on negative predictive value (NPV) to minimise the likelihood of missing progression. Probability cutoffs were identified for low and high risk for disease progression by expert assessment.ResultsOf the 492 SSc patients (follow-up range: 2–10 years), disease progression during follow-up was observed in 52% (median time 4.9 years). Performance of the model in the test set showed an AUC-ROC of 0.66. Probability score cutoffs were defined: low risk for disease progression (<0.197, NPV:1.0; 29% of patients), intermediate risk (0.197–0.223, NPV:0.82; 27%) and high risk (>0.223, NPV:0.78; 44%). The relevant variables for the model were: previous use of cyclophosphamide or corticosteroids, start with immunosuppressive drugs, previous gastrointestinal progression, previous cardiovascular event, pulmonary arterial hypertension, modified Rodnan Skin Score, creatine kinase and diffusing capacity for carbon monoxide.ConclusionOur machine-learning-assisted model for progression enabled us to classify 29% of SSc patients as ‘low risk’. In this group, annual assessment programmes could be less extensive than indicated by international guidelines.

scholarly journals Telomere Architecture Correlates with Aggressiveness in Multiple Myeloma

Cancers ◽  
2021 ◽  
Vol 13 (8) ◽  
pp. 1969
Author(s):  
Aline Rangel-Pozzo ◽  
Pak Yu ◽  
Sadhana LaL ◽  
Yasmin Asbaghi ◽  
Luiza Sisdelli ◽  
...  
Keyword(s):  
Multiple Myeloma ◽  
Disease Progression ◽  
Genomic Instability ◽  
Clinical Decision Making ◽  
Three Dimensional ◽  
Clinical Decision ◽  
Response To Treatment ◽  
Average Intensity ◽  
Patient Response ◽  
Smoldering Multiple Myeloma

The prognosis of multiple myeloma (MM), an incurable B-cell malignancy, has significantly improved through the introduction of novel therapeutic modalities. Myeloma prognosis is essentially determined by cytogenetics, both at diagnosis and at disease progression. However, for a large cohort of patients, cytogenetic analysis is not always available. In addition, myeloma patients with favorable cytogenetics can display an aggressive clinical course. Therefore, it is necessary to develop additional prognostic and predictive markers for this disease to allow for patient risk stratification and personalized clinical decision-making. Genomic instability is a prominent characteristic in MM, and we have previously shown that the three-dimensional (3D) nuclear organization of telomeres is a marker of both genomic instability and genetic heterogeneity in myeloma. In this study, we compared in a longitudinal prospective study blindly the 3D telomeric profiles from bone marrow samples of 214 initially treatment-naïve patients with either monoclonal gammopathy of undetermined significance (MGUS), smoldering multiple myeloma (SMM), or MM, with a minimum follow-up of 5 years. Here, we report distinctive 3D telomeric profiles correlating with disease aggressiveness and patient response to treatment in MM patients, and also distinctive 3D telomeric profiles for disease progression in smoldering multiple myeloma patients. In particular, lower average intensity (telomere length, below 13,500 arbitrary units) and increased number of telomere aggregates are associated with shorter survival and could be used as a prognostic factor to identify high-risk SMM and MM patients.

scholarly journals Phase II Trial of the Combination of Ixazomib, Lenalidomide, and Dexamethasone in High-Risk Smoldering Multiple Myeloma

Blood ◽  
2018 ◽  
Vol 132 (Supplement 1) ◽  
pp. 804-804 ◽  
Author(s):  
Mark Bustoros ◽  
Chia-jen Liu ◽  
Kaitlen Reyes ◽  
Kalvis Hornburg ◽  
Kathleen Guimond ◽  
...  
Keyword(s):  
Multiple Myeloma ◽  
Bone Marrow ◽  
High Risk ◽  
Disease Progression ◽  
Board Of Directors ◽  
Rna Sequencing ◽  
Research Funding ◽  
Response Rate ◽  
Advisory Committees ◽  
Equity Ownership

Abstract Background. This study aimed to determine the progression-free survival and response rate using early therapeutic intervention in patients with high-risk smoldering multiple myeloma (SMM) using the combination of ixazomib, lenalidomide, and dexamethasone. Methods. Patients enrolled on study met eligibility for high-risk SMM based on the newly defined criteria proposed by Rajkumar et al., Blood 2014. The treatment plan was designed to be administered on an outpatient basis where patients receive 9 cycles of induction therapy of ixazomib (4mg) at days 1, 8, and 15, in combination with lenalidomide (25mg) at days 1-21 and Dexamethasone at days 1, 8, 15, and 22. This induction phase is followed by ixazomib (4mg) and lenalidomide (15mg) maintenance for another 15 cycles. A treatment cycle is defined as 28 consecutive days, and therapy is administered for a total of 24 cycles total. Bone marrow samples from all patients were obtained before starting therapy for baseline assessment, whole exome sequencing (WES), and RNA sequencing of plasma and bone marrow microenvironment cells. Moreover, blood samples were obtained at screening and before each cycle to isolate cell-free DNA (cfDNA) and circulating tumor cells (CTCs). Stem cell collection is planned for all eligible patients. Results. In total, 26 of the planned 56 patients were enrolled in this study from February 2017 to April 2018. The median age of the patients enrolled was 63 years (range, 41 to 73) with 12 males (46.2%). Interphase fluorescence in situ hybridization (iFISH) was successful in 18 patients. High-risk cytogenetics (defined as the presence of t(4;14), 17p deletion, and 1q gain) were found in 11 patients (61.1%). The median number of cycles completed was 8 cycles (3-15). The most common toxicities were fatigue (69.6%), followed by rash (56.5%), and neutropenia (56.5%). The most common grade 3 adverse events were hypophosphatemia (13%), leukopenia (13%), and neutropenia (8.7%). One patient had grade 4 neutropenia during treatment. Additionally, grade 4 hyperglycemia occurred in another patient. As of this abstract date, the overall response rate (partial response or better) in participants who had at least 3 cycles of treatment was 89% (23/26), with 5 Complete Responses (CR, 19.2%), 9 very good partial responses (VGPR, 34.6%), 9 partial responses (34.6%), and 3 Minimal Responses (MR, 11.5%). None of the patients have shown progression to overt MM to date. Correlative studies including WES of plasma cells and single-cell RNA sequencing of the bone microenvironment cells are ongoing to identify the genomic and transcriptomic predictors for the differential response to therapy as well as for disease evolution. Furthermore, we are analyzing the cfDNA and CTCs of the patients at different time points to investigate their use in monitoring minimal residual disease and disease progression. Conclusion. The combination of ixazomib, lenalidomide, and dexamethasone is an effective and well-tolerated intervention in high-risk smoldering myeloma. The high response rate, convenient schedule with minimal toxicity observed to date are promising in this patient population at high risk of progression to symptomatic disease. Further studies and longer follow up for disease progression are warranted. Disclosures Bustoros: Dava Oncology: Honoraria. Munshi:OncoPep: Other: Board of director. Anderson:C4 Therapeutics: Equity Ownership; Celgene: Consultancy; Bristol Myers Squibb: Consultancy; Takeda Millennium: Consultancy; Gilead: Membership on an entity's Board of Directors or advisory committees; Oncopep: Equity Ownership. Richardson:Celgene: Membership on an entity's Board of Directors or advisory committees, Research Funding; Oncopeptides: Membership on an entity's Board of Directors or advisory committees; Karyopharm: Membership on an entity's Board of Directors or advisory committees; Jazz Pharmaceuticals: Membership on an entity's Board of Directors or advisory committees, Research Funding; Amgen: Membership on an entity's Board of Directors or advisory committees; BMS: Research Funding; Janssen: Membership on an entity's Board of Directors or advisory committees; Takeda: Membership on an entity's Board of Directors or advisory committees, Research Funding. Ghobrial:Celgene: Consultancy; Takeda: Consultancy; Janssen: Consultancy; BMS: Consultancy.

Results from Two Consecutive Studies of Consolidation Therapy after Autologous Transplant for Multiple Myeloma: Thalidomide, Dexamethasone, and Clarithromycin or Lenalidomide, Dexamethasone, and Clarithromycin

2017 ◽  
Vol 137 (3) ◽  
pp. 123-131 ◽  
Author(s):  
Leona A. Holmberg ◽  
Pamela S. Becker ◽  
William Bensinger
Keyword(s):  
Multiple Myeloma ◽  
Disease Progression ◽  
Randomized Study ◽  
Single Agent ◽  
Survival Rates ◽  
Immunomodulatory Drugs ◽  
Hematopoietic Stem ◽  
Good Disease Control ◽  
Disease Free

Background: In multiple myeloma (MM), relapse is a problem after autologous hematopoietic stem cell transplantation (ASCT). In the nontransplant setting, thalidomide/dexamethasone/clarithromycin (BLT-D) and lenalidomide/dexamethasone/clarithromycin (BiRd) achieve responses with acceptable toxicity. Both regimens are reasonable objects of study in the post-ASCT setting. Patients and Methods: We report on BLT-D and BiRd given post-ASCT. Studies were conducted consecutively. After recovery from ASCT, therapy was started. All 3 drugs were given for 1 year, and then immunomodulatory drugs alone were given as long as tolerated or until disease progression. Results: For BLT-D, the most common toxicity was peripheral neuropathy (PN). For BiRd, infection, PN, and neutropenia were the most common adverse events. BiRd was associated with a higher frequency of secondary cancers. The median follow-up for BLT-D was 10.2 years (range 8.6-10.7) and for BiRd it was 7.5 years (range 6.4-8.4). After BLT-D, 18 patients (67%) were alive and 10 (37%) were alive without disease progression, and after BiRd, 18 patients (58%) were alive and 10 (32%) were alive without disease progression. Conclusions: BLT-D and BiRd can be given post-ASCT with different toxicity profiles and comparable disease-free and overall survival rates. A randomized study comparing these regimens to single-agent lenalidomide is needed to determine which approach is superior. Key Message: Relapse of MM is a major problem after ASCT. Strategies are needed post-ASCT to improve outcomes. In the nontransplant setting, thalidomide or lenalidomide/dexamethasone/clarithromycin treat MM with acceptable toxicity. We, thus, studied both regimens post- ASCT. They can be given with different toxicity profiles and result in good disease control.

scholarly journals Evaluation of Functional and Cytogenetic High-Risk Multiple Myeloma Using Real-World Data

Blood ◽  
2021 ◽  
Vol 138 (Supplement 1) ◽  
pp. 4093-4093
Author(s):  
Ankit Kansagra ◽  
Eric Hansen ◽  
Andrew J. Belli ◽  
Stefanie Goran ◽  
Ching-Kun Wang
Keyword(s):  
Multiple Myeloma ◽  
High Risk ◽  
Disease Progression ◽  
Real World ◽  
Multivariate Analyses ◽  
Rapid Disease Progression ◽  
High Risk Patients ◽  
Risk Patients ◽  
High Risk Populations ◽  
Equity Ownership

Abstract Introduction: Multiple myeloma (MM) is a heterogeneous disease with wide variability in outcomes. The presence of cytogenetic abnormalities in MM is of critical importance for prognosis and risk stratification. However, patients who may or may not have sufficient cytogenetic abnormalities to classify as high-risk can still experience rapid disease progression despite therapy, or functional high risk (FHR) disease. These two high risk cohorts comprise vulnerable subpopulations who have a significant burden of disease, and it is critical that we understand the underlying patient characteristics and optimal treatment sequence. We sought to investigate these two high risk patient populations treated in the contemporary real-world practice setting. Methods: A total of 1719 patients were identified in the COTA real-world database as having been diagnosed with active MM on or after January 1, 2015 and classified as either FHR, cytogenetic high risk (CHR), or both. The COTA real-world database is a USA-based real-world evidence database comprised of longitudinal, Health Insurance Portability and Accountability Act (HIPAA)-compliant, data on the diagnosis, clinical management, and outcomes of patients with cancer. Of the 1719 patients, 1260 were identified to be FHR, defined as relapse &lt;18 months from initial active MM diagnosis. A total of 459 patients were identified as CHR, among which 347 were both FHR and CHR. CHR was defined as a patient having at least one of the following abnormalities: t(4;14), t(14;16), t(14;20), del(17p), 1q gain, or hypoploid. Line of therapy was applied programmatically using an algorithm based on International Myeloma Working Group criteria and clinical guidance. The primary outcome was time to next treatment (TTNT) calculated using the Kaplain Meier method. Univariate and multivariate analyses were conducted to understand predictors of rapid disease progression among high-risk patients. Results: In our real-world population, FHR patients tended to be slightly younger, African American, and treated predominantly in the academic setting (Table 1). First-line (1L) and second-line (2L) treatment patterns by category are shown in Table 2. A lower proportion of FHR patients received 1L immunomodulators as compared to the other high-risk groups, while almost half of the CHR patients received 1L stem cell transplant (SCT). In 2L, among patients not receiving 2L SCT, a higher proportion of CHR patients received a daratumamab-based treatment as compared to FHR (23.2% vs. 12.0%, respectively). We observed a longer median (95% CI) TTNT for high-risk patients receiving 2L daratumamab-based treatment as compared to patients who did not: 8.5 months (6.4-13.0) vs. 6.0 months (5.3-6.9), p=0.07 (Figure 1). Univariate and multivariate analyses showed age at diagnosis (HR: 0.98, CI: 0.97, 0.99), normal cytogenetics (HR: 0.78, CI: 0.63, 0.97), 1L immunomodulator (HR: 0.39, CI: 0.22, 0.69), 1L proteasome inhibitor (HR: 1.4, CI: 1.1, 1.8), and 1L SCT (HR: 0.22, CI: 0.15, 0.32) as significant predictors of rapid disease progression. Conclusions: Our study provides important insights comparing high risk populations with MM treated in the real-world setting. A higher proportion of CHR patients received 1L SCT and this provided the longest 1L TTNT as compared to other treatments. In 2L, among patients not receiving 2L SCT, we observed a trend towards significantly longer TTNT provided by dara-based treatment as compared to non-dara based treatment; however, our TTNT is lower than progression-free survival results observed in pivotal trials. We identified potential underlying differences in our patient populations that may be driving the predictors of rapid disease progression, including 1L SCT eligibility and renal disease, and these will be further investigated in propensity score matched populations. Future research will continue to explore optimal treatment sequences in high-risk populations with multiple myeloma to improve patient outcomes. These data highlight an urgent need to better predict FHR patients at diagnosis and develop clinical trials incorporating novel compounds in high risk patients. Figure 1 Figure 1. Disclosures Hansen: COTA, Inc.: Current Employment. Belli: COTA, Inc.: Current Employment, Other: Equity ownership. Goran: COTA, Inc.: Current Employment. Wang: COTA, Inc.: Current Employment, Other: Equity ownership.

scholarly journals Genomic Profiling of Smoldering Multiple Myeloma Classifies Molecular Groups with Distinct Pathogenic Phenotypes and Clinical Outcomes

Blood ◽  
2021 ◽  
Vol 138 (Supplement 1) ◽  
pp. 723-723
Author(s):  
Shankara Anand ◽  
Mark Bustoros ◽  
Romanos Sklavenitis-Pistofidis ◽  
Robert A. Redd ◽  
Eileen M Boyle ◽  
...  
Keyword(s):  
Multiple Myeloma ◽  
High Risk ◽  
Board Of Directors ◽  
Research Funding ◽  
Molecular Classification ◽  
Intermediate Risk ◽  
Advisory Committees ◽  
Increased Risk ◽  
Risk Of Progression ◽  
Over Time

Abstract Introduction: Multiple Myeloma (MM) is an incurable plasma cell malignancy commonly preceded by the asymptomatic stage smoldering multiple myeloma (SMM). MM is characterized with significant genomic heterogeneity of chromosomal gains and losses (CNVs), translocations, and point mutations (SNVs); alterations that are also observed in SMM patients. However, current SMM risk models rely solely on clinical markers and do not accurately capture progression risk. While incorporating some genomic biomarkers improves prediction, using all MM genomic features to comprehensively stratify patients may increase risk stratification precision in SMM. Methods: We obtained a total of 214 patient samples at SMM diagnosis. We performed whole-exome sequencing on 166 tumors; of these, RNA sequencing was performed on 100. Targeted capture was done on 48 additional tumors. Upon binarization of DNA features, we performed consensus non-negative matrix factorization to identify distinct molecular clusters. We then trained a random forest classifier on translocations, SNVs, and CNVs. The predicted clinical outcomes for the molecular subtypes were further validated in an independent SMM cohort of 74 patients. Results: We identified six genomic subtypes, four with hyperdiploidy (&gt;48 chromosomes, HMC, HKR, HNT, HNF) and two with IgH translocations (FMD, CND) (Table 1). In multivariate analysis accounting for IMWG (20-2-20) clinical risk stages, high-risk (HMC, FMD, HKR) and intermediate-risk (HNT, HNF) genetic subtypes were independent predictors of progression (Hazards ratio [HR]: 3.8 and 5.5, P = 0.016 and 0.001, respectively). The low-risk, CND subtype harboring translocation (11;14) was enriched for the previously defined CD-2 MM signature defined by the B cell markers CD20 and CD79A (FDR = 0.003 ), showed upregulation of CCND1, E2F1, and E2F7 (FDR = 0.01, 0.0004, 0.08), and was enriched for G2M checkpoint, heme metabolism, and monocyte cell signature (FDR = 0.003, 0.003, 0.003, respectively). The FMD subtype with IgH translocations (4;14) and (14;16) was enriched for P53, mTORC1, unfolded protein signaling pathways and plasmacytoid dendritic cell signatures (FDR = 0.01, 0.005, 0.008, respectively). The HKR tumors were enriched for inflammatory cytokine signaling, MYC target genes, T regulatory cell signature, and the MM proliferative (PR) signatures (FDR = 0.02, 0.03, 0.007, 0.02, respectively). The APOBEC mutational signature was enriched in HMC and FMD tumors (P = 0.005), while there was no statistical difference across subtypes in the AID signature. The median follow-up for the primary cohort is 7.1 years. Median TTP for patients in HMC, FMD, and HKR was 3.8, 2.6, and 2.2 years, respectively; TTP for HNT and HNF was 4.3 and 5.2, respectively, while it was 11 years in CND patients (P = 0.007). Moreover, by analyzing the changes in MM clinical biomarkers over time, we found that patients from high-risk subgroups had higher odds of developing evolving hemoglobin and monoclonal protein levels over time (P = 0.01 and 0.002, respectively); Moreover, the absolute increase in M-protein was significantly higher in patients from the high-risk genetic subtypes at one, two, and five years from diagnosis (P = 0.001, 0.03, and 0,01, respectively). Applying the classifier to the external cohort replicated our findings where intermediate and high-risk genetic subgroups conferred increased risk of progression to MM in multivariate analysis after accounting for IMWG staging (HR: 5.5 and 9.8, P = 0.04 and 0.005, respectively). Interestingly, within the intermediate-risk clinical group in the primary cohort, patients in the high-risk genetic subgroups had increased risk of progression (HR: 5.2, 95% CI 1.5 - 17.3, P = 0.007). In the validation cohort, these patients also had an increased risk of progression to MM (HR: 6.7, 95% CI 1.2 - 38.3, P = 0.03), indicating that molecular classification improves the clinical risk-stratification models. Conclusion: We identified and validated in an independent dataset six SMM molecular subgroups with distinct DNA alterations, transcriptional profiles, dysregulated pathways, and risks of progression to active MM. Our results underscore the importance of molecular classification in addition to clinical evaluation in better identifying high-risk SMM patients. Moreover, these subgroups may be used to identify tumor vulnerabilities and target them with precision medicine efforts. Figure 1 Figure 1. Disclosures Bustoros: Janssen, Bristol Myers Squibb: Honoraria, Speakers Bureau; Takeda: Consultancy, Honoraria. Casneuf: Janssen: Current Employment. Kastritis: Amgen: Consultancy, Honoraria, Research Funding; Takeda: Honoraria; Pfizer: Consultancy, Honoraria, Research Funding; Genesis Pharma: Honoraria; Janssen: Consultancy, Honoraria, Research Funding. Walker: Bristol Myers Squibb: Research Funding; Sanofi: Speakers Bureau. Davies: Takeda: Consultancy, Honoraria; Amgen: Consultancy, Honoraria; Abbvie: Consultancy, Honoraria; BMS: Consultancy, Honoraria; Roche: Consultancy, Honoraria; Janssen: Consultancy, Honoraria. Dimopoulos: Amgen: Honoraria; BMS: Honoraria; Takeda: Honoraria; Beigene: Honoraria; Janssen: Honoraria. Bergsagel: Genetech: Consultancy, Honoraria; Oncopeptides: Consultancy, Honoraria; Janssen: Consultancy, Honoraria; Pfizer: Consultancy, Honoraria; Novartis: Consultancy, Honoraria, Patents & Royalties: human CRBN mouse; GSK: Consultancy, Honoraria; Celgene: Consultancy, Honoraria. Yong: BMS: Research Funding; Autolus: Research Funding; Takeda: Honoraria; Janssen: Honoraria, Research Funding; Sanofi: Honoraria, Research Funding; GSK: Honoraria; Amgen: Honoraria. Morgan: BMS: Membership on an entity's Board of Directors or advisory committees; Jansen: Membership on an entity's Board of Directors or advisory committees; Karyopharm: Membership on an entity's Board of Directors or advisory committees; Oncopeptides: Membership on an entity's Board of Directors or advisory committees; GSK: Membership on an entity's Board of Directors or advisory committees. Getz: IBM, Pharmacyclics: Research Funding; Scorpion Therapeutics: Consultancy, Current holder of individual stocks in a privately-held company, Membership on an entity's Board of Directors or advisory committees. Ghobrial: AbbVie, Adaptive, Aptitude Health, BMS, Cellectar, Curio Science, Genetch, Janssen, Janssen Central American and Caribbean, Karyopharm, Medscape, Oncopeptides, Sanofi, Takeda, The Binding Site, GNS, GSK: Consultancy.

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