Rajkumar, S. Vincent

Abstract Background: We previously reported an 85% response rate with 54% CR/nCR using a combination of cyclophosphamide (Cy), prednisone, and bortezomib (BZ) in relapsed myeloma (MM). We now report a Phase II clinical trial using a combination of Cy, BZ, and dexamethasone (Dex) [Cybor-D] in newly-diagnosed MM. We then compare the activity of this combination with historical controls treated with our current induction standard of Lenalidomide-Dexamethasone (L-Dex). Methods: 30 patients have been enrolled on Cybor-D. Treatment consists of Cy 300mg/m2 p.o. days 1, 8, 15, and 22; BZ 1.3 mg/m2 days 1, 4, 8, and 11, and Dex 40mg p.o. days 1–4, 9–12, 17–20. Prophylactic use of acyclovir, a quinolone and antifungal prophylaxis was highly recommended for all patients on study. Growth factors were allowed. As a relevant contemporaneous control for speed and depth of response, we used 33 patients treated on a recent Mayo Clinic trial of L-Dex (Rajkumar. Blood: 2005 106;4050–3). Response was defined according to IMWG criteria although in the current trial, bone marrows for confirmation of CR are not yet available on all patients. Results: At time of current analysis, 17 patients on Cybor-D were evaluable through at least one cycle for response and toxicity. Baseline characteristics included mean age of 57, 29% female, 41/24% ISS stage II/III. There were statistically more early stage patients on L-Dex; otherwise, baseline patient characteristics were similar. The mean % decline in monoclonal (M) protein from baseline following cycles 1–4 of Cybor-D were 71%, 90%, 93%, 96%. This compares favorably with L-Dex where equivalent % decline in M proteins were 66%, 77%, 80%, and 79%. Thus, in preliminary results, Cybor-D produces a more rapid initial decline and mean % reduction in M protein than L-Dex. Overall response rate (≥ PR) after one cycle of Cybor-D was 77% with 36% obtaining ≥VGPR (L-Dex 73% and 18% respectively). The % of patients obtaining ≥VGPR after each cycle was 36%, 64%, 77%, and 100% for Cybor-D as compared to 18%, 36%, 42%, and 33% for L-Dex. The overall ≥VGPR at the end of four cycles of Cybor-D is currently100% (≥ 66%nCR using older nomeclature). Major toxicities ≥ grade 3 for Cybor-D included hematologic (37%), hyperglycemia (15%) and neuropathy (11%). Conclusions: In summary, for newly-diagnosed MM patients, four cycles of Cybor-D produces more frequent, rapid and deep responses when contrasted with historical L-Dex controls. Further confirmation of response rates and effect on TTP will be required.

Abstract Background: Recent advances in the therapy of multiple myeloma (MM) have greatly increased the treatment options for this uniformly fatal plasma cell malignancy. It is not clear if introduction of novel therapies and the increased use of high dose therapy (HDT) in the past decade have translated into better outcome for patients (pts) with MM. Methods: We examined the outcome of two cohorts of pts seen at our institution. The first cohort consisted of 387 pts who relapsed after HDT and was examined for potential improvement in survival following relapse after HDT. These pts were divided into two groups; those who relapsed before or after December 31, 2000. The second cohort consisted of 2981 patients with newly diagnosed MM seen between January 1971 and December 2006 and was used to examine the trends in overall survival (OS). Results: Among those relapsing after HDT, there were 245 males (63%); median (range) age at HDT was 57 years (32.8–75.4) and the median time to HDT was 8.1 months (1–90 months) from diagnosis. The median time to relapse was 13.2 months (1.1 months-10.3 years) from HDT. In this cohort, a clear improvement in OS from time of relapse was seen over the past decade, with those relapsing after 2000 having a median OS of 23.9 months (95% CI; 19.8, 27.6) compared to 11.8 months (95% CI; 8.7, 14.9) for the rest (P < 0.001) (Figure 1). In a multivariate analysis, the effect of the date of relapse on survival was independent of other prognostic factors such as relapse <12 months after HDT, abnormal cytogenetics, and B2M > 5.5 mg/dL. Pts who were treated with one or more of the newer drugs (thalidomide, lenalidomide, bortezomib) had longer survival from relapse (30.9 months (95% CI; 23.6, 38.2) compared to 14.8 months (95% CI; 11.3, 18.4); P < 0.001) for others. Among the newly diagnosed MM cohort, the median age at diagnosis was 66 years (20.2 – 97 years), and 1,770 (59.4%) were males. The median follow up for the entire group was 27.4 months (0–29.4 years); and at the time of analysis 558 patients (18.7%) were alive with a median follow up of 32.7 months (0–29.4 years). Pts diagnosed in the last decade had an improved OS (44.8 months) compared to those diagnosed before this period (29.9 months; P < 0.001) (Figure 2). The improvement in survival seen in the last decade among newly diagnosed patients was predominantly among those younger than 65 years (60.3 mos vs. 33.3 mos improvement in median survival); compared to those over 65 at diagnosis (26.5 mos vs. 32 mos). Conclusion: In this study, for the first time, we demonstrate definite proof for improved outcome in patients with myeloma, both in the relapsed setting as well as at diagnosis, a change that is likely to continue with increased use of these drugs. Figure Figure Figure Figure

Abstract Background: Smoldering multiple myeloma (SMM) is an asymptomatic plasma cell proliferative disorder with a high risk of progression to symptomatic multiple myeloma. Identification of risk factors that predict progression of SMM to symptomatic MM could identify higher risk patients who might benefit from chemoprevention or more intensive surveillance. We hypothesized that increased monoclonal free kappa or lambda immunoglobulin light chains in smoldering myeloma (SMM), as detected by the serum free light chain (FLC) assay, indicates an increased the risk of progression to active myeloma. Methods: Of 276 pathologically confirmed SMM patients seen at the Mayo Clinic from 1970 to 1995, baseline serum samples obtained within 30 days of diagnosis were available in 273. Results: At a median follow-up of surviving patients of 12.4 years, transformation to active disease has occurred in 161 (59%) patients. An abnormal FLC ratio was present at baseline in 90% of patients. The best break-point for predicting risk of progression was a FLC ratio less than or equal to 0.125 or greater than or equal to 8 (hazard ratio, 2.3; 95% CI, 1.6–3.2) [Figure 1]. The extent of abnormality of FLC ratio was independent of SMM risk categories defined by number of plasma cells in the bone marrow and size of serum M-proteins (bone marrow plasma cells ≥ 10% and serum M protein ≥ 3 g/dL; bone marrow plasma cells ≥ 10% but serum M protein < 3 g/dL; and serum M protein ≥ 3 g/dL but bone marrow plasma cells < 10%). Incorporating the FLC ratio into the risk model, the division of patients into high-, intermediate-, and low-risk groups is 28, 42, and 30% with 5 year progression rates of 76, 51, and 25%, respectively [Figure 2]. Conclusions: The serum immunoglobulin FLC ratio is an important additional determinant of clinical outcome in patients with SMM. Figure Figure Figure Figure

Abstract The Multiple Myeloma Research Consortium (MMRC) Genomics Initiative is a three-year program to analyze tumor tissue from hundreds of multiple myeloma (MM) patients via gene expression profiling (GEP), comparative genomic hybridization (aCGH), and exon re-sequencing. In addition, RNAi knockdown of selected genes in MM tumor cell lines is being evaluated to identify potential new targets. All genomic data generated is scheduled for placement in an open-access Multiple Myeloma Genomics Portal pre-publication and in near real-time (www.broad.mit.edu/mmgp). Additionally, samples are also destined for drug validation and correlative science on clinical protocols as this study moves forward. This comprehensive project is spearheaded by the MMRC and conducted via collaboration with the Eli and Edythe L. Broad Institute of MIT and Harvard, the Translational Genomics Research Institute (TGen), Mayo Clinic Arizona, and The Dana-Farber Cancer Center. The study is supported by the collection from member institutions of the MMRC of bone marrow aspirates and matched peripheral blood samples from over 1000 patients. Specific genomic technologies that are currently being employed across this sample set include GEP using Affymetrix Human Genome U133A 2.0 Plus Arrays, and, in parallel, efforts to identify regions of genomic gain and loss are using Agilent Human Genome CGH arrays. In contrast to other large-scale genomic projects based on exon-sequencing of targeted gene sets, this project will be the first to perform genome-scale single molecule sequencing (SMS) of DNA from patient specimens. Results will be targeted against candidate classes of genes (e.g. kinases, phosphatases, known oncogenes and tumor suppressors), and genes from GEP or within candidate regions of copy gain or loss identified by the aCGH experiments. Mutations will be further validated in an independent set of patient specimens. Finally we will attempt to identify points of vulnerability of MM through systematic loss-of-function screens in myeloma cell lines using high-throughput RNA interference (using both shRNA and siRNA platforms). Importantly, data generated from this genomics initiative will ultimately be made public pre-publication through the established MMRC Multiple Myeloma Genomics Portal. Data from all aspects of this project (sample collection and analyte isolation, GEP, aCGH, SMS, RNAi and bioinformatics) will be described in this presentation. The power of this study is the comprehensive collection of gene expression, CGH, and genome sequencing on a single reference set of clinically annotated samples. The addition of RNAi screens makes this a very important and unique data resource, which we hope will help expedite the discovery of novel targeted agents for MM scientific community.

Abstract Background: Cytotoxic T-cell infiltrates are a nearly universal finding in the bone marrow of patients with multiple myeloma. It has been postulated that presence of T-cells in the bone marrow of multiple myeloma (MM) patients represents an immune response against the tumor and therefore, might be associated with an improved prognosis. However, the impact of bone marrow T-cells on the prognosis of multiple myeloma patients has not been studied systematically. Methods: Bone marrow biopsies of patients with newly diagnosed multiple myeloma were stained by immnohistochemistry for the CD8 antigen and reviewed by a blinded hematopathologist. Three high power fields are reviewed for each biopsy and the total number of CD8 positive cells counted and reported. For patients with more than 300 cells per 3 fields, results were reported as >300. The number of bone marrow CD8 positive cells was then correlated with patients’ clinical data, including other prognostic factors and overall survival. Results: Bone marrow biopsy specimens from 100 patients, performed within the week of a diagnosis of multiple myeloma and collected between May 1998 and January 2001 were evaluated. The median number of CD8 positive cells was 270 (33 – >300). Patients’ characteristics are shown in Table 1. Median follow up was 30 months (0–80). The number of cytotoxic T-cells as a continuous variable was a risk factor for shortened overall survival, HR 1.86 (95% CI 1.11–3.35). Using minimal p value approach, the cutoff of 270 cells (the median) risk stratified patients into two groups: the median survival of patients with > 270 CD8 positive cells was 16 months vs. 48 months in patients with ≤270 cells, p=0.005 (Figure). In multivariate analysis including age, B2M, albumin, CRP, bone marrow plasma cell percentage and plasma cell labeling index, the number of cytotoxic T-cells was an independent predictor of overall survival was HR 3.1, p=0.0017. Conclusion: We show that the number of cytotoxic T-cells in the bone marrow is a strong and independent prognostic factor in patients with newly diagnosed multiple myeloma. Our observation does not contradict the hypothesis that cytotoxic T-cells participate in an immune response against the tumor since our findings may represent a higher level of immune response associated with baseline aggressive disease biology. However, our study suggests for the first time that increased marrow cytotoxic T-cells have an adverse effect on outcome in myeloma, and suggest that these cells may have a direct facilitating effect on tumor growth and on the marrow microenvironment. Further studies of the biology of behind this observation are warranted. Characteristic N Median (range) Gender male 61 CRP 81 0.4mg/L (0.01–11.2) Albumin 99 3.6 g/dL (2.6–5.4) B2microglobulin 94 4.0 (0.9–28) μg/mL Marrow PC% 90 45% (11–99) PC labeling index 90 high (>1%) 36 BM CD8 cells 100 270 (33 – >300) ISS 94 1 19 2 41 3 34 Figure Figure

Abstract Waldenström macroglobulinemia (WM) is a monoclonal B cell disorder characterized by a circulating monoclonal IgM protein that may lead to serum hyperviscosity in association with an infiltration of lymphoplasmacytic cells into the bone marrow. Although proinflammatory and chemotactic cytokines can profoundly affect tumor cells and the tumor microenvironment, and many cytokines have been shown to have potent therapeutic efficacy in preclinical cancer models, the role of cytokine networks in WM is not fully understood. In this study, we used a high-throughput xMAP multiplex immunobead assay technology (Luminex Corp., Austin, TX) to simultaneously test 30 cytokines, chemokines, angiogenic factors as well as growth factors and soluble receptors in the sera of WM patients and compared them with other B cell malignancies including IgM monoclonal gammopathy of undetermined significance (MGUS), follicular lymphoma, chronic lymphocytic leukemia (CLL) as well as healthy controls. Using a Mann-Whitney U test to analyze the differences between the groups, 15 of the 30 cytokines tested had significantly different levels in WM compared to healthy controls. Of those 15 cytokines, 11 were elevated in WM patients and 4 were decreased. Cytokines were grouped into 3 groups; those with < 2-fold difference, 2–8 fold difference and those having > 8-fold difference in their cytokine levels compared to healthy donors. There was a greater than 8-fold increase in the serum levels of Rantes, G-CSF and IL-2R (p<0.0001) in WM patients. Furthermore, 3 cytokines had between 2–8-fold increase in WM patients including IL-4 (p<0.0001), IL-6 (p<0.0019) and IP-10 (p<0.0006). Five cytokines had statistically elevated levels in WM patients compared to healthy controls, however the fold increase was < 2 including HGF (p<0.0185), IL-10 (p<0.0002), MIP-1α (P<0.0484), IL-2 (P<0.0130) and IL-12 (P<0.0155). Of the cytokines that had significantly lower levels in the sera of WM patients, IL-8 (p<0.0001) and EGF (p<0.0001) were > 8-fold decreased, MCP-1 (p<0.0001) was 2–8 fold lower and Eotaxin (p<0.0004) was < 2-fold lower in WM patients. All of the cytokines that had the greatest fold difference (> 8-fold) in WM patients compared to healthy donors also differed significantly from the MGUS patients. Rantes, G-CSF, IL-2R and EGF had significantly different levels compared to other B cell malignancies. We tested for a correlation between the cytokines that had > 2-fold difference between the WM group and control group with clinical features of the disease and found the cytokines IL-6 and IL-2R had a significant correlation with β2-microglobulin levels (p<0.01). We analyzed cytokine levels in the bone marrow plasma of the same patients and found that high levels of IL-2R in the bone marrow microenvironment significantly correlated with anemia and elevated serum β2-microglobulin (p<0.01). In conclusion, we have simultaneously analyzed sera from WM patients for 30 cytokines and found the most significantly elevated cytokines are Rantes, G-CSF and IL-2R and the most significantly downregulated cytokines are IL-8 and EGF. Furthermore, we found that elevated serum levels of IL-6 and IL-2R correlated with β2-microglobulin levels, a measure of disease activity. Further analysis of the biological role of these cytokines in WM may offer insight into disease pathogenesis and provide a basis for novel targeted therapies.

Abstract Events mediating transformation from the pre-malignant MGUS to MM is largely unknown. Previous studies have highlighted RAS mutation as a progression event. However, this abnormality is present in only a small subset of patients. Global gene expression differences between MGUS and MM have been reported but provided little coherent biological insights. To define progression events, we examined the differences in gene expression profiles (GEP, Affymetrix U133A genechip) between 101 MM and 22 MGUS using a powerful functional genomic tool, Gene Set Enrichment Analysis (Subramanium et al PNAS 2005), that allow extraction of biological information based on enrichment of genes associated with a phenotype within gene-sets derived experimentally or extracted from database. We found that a predominant theme relating to MM progression is the over-expression of proliferation related genes in MM highlighted by the enrichment of cell cycle related gene-sets. Another common theme is the enrichment of gene-sets relating to MYC activation. Seven of eight gene-sets related to MYC activation in the database are significantly enriched (p-value <0.05 and false detection rate <0.05). Leading edge (enriched genes) analysis of enriched MYC-related and proliferation-related gene-sets revealed a core, overlapping signature of 8 genes specific to MYC and not proliferation. These genes are further verified as MYC transcriptional targets using Metacore, a network analysis tool. In addition, 7 of the 8 genes had been validated as MYC target genes by chromatin immunoprecipitation previously (www.myccancergene.org). We validated this signature in independent publicly available cell lines and mouse gene expression experiments where this signature is present in mammary epithelial cell lines engineered to over-express MYC but not E2F3, SRC and BCAT, and mouse embryonic fibroblast over-expressing MYC but not HER2 or with RB knocked-out. In addition, analysis of proliferation index in these datasets showed that there is dissociation of proliferation from this signature. This showed conclusively that our signature is MYC specific and not related to proliferation. Of interest, the signature is also present in cell lines with activating RAS mutation, which also have high expression of MYC, suggesting that MYC activation is a downstream effect of activated RAS signaling. Indeed, in our patient cohort, most patients with RAS mutation express this signature. When applied to 2 large GEP MM patient cohorts, this signature was not present in normal plasma cells, rarely present in MGUS, and present in a significant proportion of MM and almost all the human myeloma cell lines. When analyzed in the context of other B-cell malignancies, the signature is very strong in Burkitt’s lymphoma, present in most myeloma but absent in chronic lymphocytic leukemia, Waldenstrom Macroglobulinemia, and normal B-cells. Our analysis therefore suggests that MYC activation may be a unifying pathological event in MGUS to MM progression. As MYC translocations occur in only about 13% of newly diagnosed MM patients, activating RAS mutations and other trans-mechanisms may mediate MYC activation. Our recent demonstration that sporadic MYC activation in a mouse strain prone to monoclonal gammopathy led to MM development provides important functional proof.

Abstract Background: Primary systemic amyloidosis (AL) is an incurable plasma cell dyscrasia with limited therapeutic options. Based on the observed 25 to 50% partial response rates in myeloma patients, thalidomide has been tried in patients with AL. Two reports (Dispenzieri et al, Amyloid10:247; 2003; Seldin et al, Clinical Lymphoma3:241; 2003) have demonstrated that standard dose, single agent thalidomide (≥ 200 mg per day) has a higher than expected rate of adverse events in AL patients without hematologic or organ response, potentially due to rapid patient attrition. We therefore performed a prospective clinical trial using low dose, single agent thalidomide in patients with AL. Methods: In August 2001, we began accrual to a phase II trial of low dose thalidomide for patients with AL. Eligibility included: age ≥ 18 years, creatinine <3mg/dL, total bilirubin < 3 mg/dL, ANC ≥ 1 x 10(9)/L, left ventricular ejection fraction of >45%, histochemical proof of amyloid and a monoclonal plasma cell dyscrasia, symptomatic organ involvement, and ability to supply informed consent. Patients were started with thalidomide 50 mg per day, with a dose escalation to a maximum dose of 400 mg per day over a 19 week period as tolerated. Patients were evaluated monthly by their physician. These office visits were staggered with telephone toxicity checks monthly by the primary investigator. The endpoint of the study was hematologic and organ response by 12 months. Results: Eighteen patients were treated. The median age was 66 years (range 43–83). Eight were male. Twenty-eight percent had an ECOG performance status of 2 or 3. Five patients (28%) had received no prior therapy. Five had received one prior regimen; 6, two prior; and 2, ≥ three. Three had received prior PBSCT. Sixteen patients had a monoclonal lambda plasma cell disorder; two, monoclonal kappa. Immunoglobulin heavy chains were IgG (n=9), IgM (n=5), IgA (n=1), and none (n=3). Twelve patients (67%) had cardiac involvement; twelve (67%) renal; two liver; two symptomatic gastrointestinal; one pulmonary; and two nerve involvement. Study participants had significant symptomatology at baseline with dyspnea (n=12), light-headedness (n=6), and edema (n=13). Median number of organs involved was 1, range (1 to 4). Median time on study drug was 5.6 months, range 0.7–24 months. Reasons for discontinuation included: progression, 7 (39%); 3 each (17%) for adverse events, death, and patient refusal; and other causes in 2. The median tolerated dose was 100 mg. There were no hematologic responses observed. The overall organ response rate was 11%. There was one renal response at 1 year and a gastrointestinal response at 3 months with 24 hour fecal fat changing from 21 to 8.7 grams. The most common adverse effects attributable to thalidomide were: constipation (78%), edema (44%), sinus bradycardia (17%), dyspnea (11%), and paresthesias (11%). Light-headedness, rising creatinine, thrombosis, infection, syncope, and rash was attributed to the thalidomide in 5.6% of patients. Conclusions: Low dose thalidomide is tolerable in this fragile group of patients, but as a single agent efficacy is limited. Further study of combination therapy of thalidomide and low dose dexamethasone may be warranted. A study using the next generation immune modulatory drug Revlimid is scheduled to open to accrual. Funded by NIH grant CA 91561 and Celgene.

Abstract Background: It has been hypothesized that multiple myeloma (MM) remains incurable due to a stemcell/proliferative component that responds only partially to standard treatment regimens. We have shown that abnormal production of IL-1beta in the myeloma microenvironment stimulates the generation of paracrine IL-6, the central myeloma growth factor, and that IL-1Ra will inhibit paracrine IL-6 production in vitro. Based on these preclinical studies, we have developed a Phase II trial using IL-1Ra. Purpose: To determine the biologic and clinical activity of IL-1Ra (Anakinra) in a subgroup of smoldering MM (SMM) patients that present with an elevated plasma cell labeling index (PCLI; a measure of myeloma cell proliferation). Methods: Patients that had ≥ 10% bone marrow plasma cells and/or an IgG or IgA M-spike ≥ 3 g/dL and did not require immediate chemotherapy were eligible. Patients received 100 mg of Anakinra (IL-1Ra) SQ qd for a total duration of 6 months. Results: Eleven of 29 patients enrolled on the protocol had an on-study PCLI > 0 and have completed six months of therapy with IL-1Ra. Seven of the 11 patients had a decrease in the PCLI of 75–100% (see Table), three had only modest changes (≤ 50%), and one had an increase. The decrease in the PCLI paralleled a decrease in the high sensitivity C-reactive protein (CRP) in all cases (43–90% decrease). The above results suggested that IL-1Ra inhibited IL-6 production in the myeloma microenvironment, as evidenced by a reduction in the CRP, resulting in suppression of myeloma cell growth. However, there was little effect on the M-protein. To investigate these clinical observations, we co-cultured IL-1beta transduced +/− myeloma cells with stromal cells +/− dexamethasone (DEX), IL-1Ra, or both for 48 hours and quantitated the percent apoptotic cells by flow cytometry and IL-6 production by ELISA. The results showed: 1) IL-1Ra was superior at inhibition of IL-6 but caused no increase in apoptosis; 2) the DEX apoptotic effect was eliminated by IL-6 3) DEX and IL-1Ra combined induced maximal IL-6 inhibition and apoptosis of myeloma cells. Based on these in vitro results, 5 of the 11 patients have been advanced to IL-1Ra + low dose DEX (20 mg/week) resulting in 4/5 minor responses (25–50% decrease M-spike) and 1/5 with stable disease. Conclusion: The use of IL-1Ra is a novel targeted therapeutic strategy that interferes with myeloma cell growth. By inhibiting IL-1beta induced IL-6 production, IL-1Ra specifically targets the proliferative myeloma fraction and also complements DEX induced apoptosis. Preliminary studies on the use of IL-1 inhibitors in SMM patients to delay/prevent progression to active MM and to minimize toxicity appear encouraging, however, more patients need to be studied. Patient # On Study 6 months % Change 1 PCLI 0.8% 0% −100% CRP (mg/L) 2.01 0.58 − 71% M-spike (g/dL) 2.5 2.4 − 4% 2 PCLI 0.2% 0% − 100% CRP 0.89 0.51 − 43% M-spike 2.8 2.7 − 3% 3 PCLI 0.2% 0% − 100% CRP 5.7 1.02 − 82% M-spike 2.9 2.9 0% 4 PCLI 4.1% 1% − 75% CRP 3.39 1.51 − 55% M-spike 3.8 3.6 − 5% 5 PCLI 0.4% 0% − 100% CRP 3.46 0.34 − 90% M-spike 2.7 3.1 15% 6 PCLI 0.3% 0% − 100% CRP 17 5.35 − 68% M-spike 4.4 3.9 − 11% 7 PCLI 1.2% 0% − 100% CRP 1.06 0.32 − 70% M-spike 3.1 2.9 − 6%

Abstract Disease overview Multiple myeloma accounts for approximately 10% of hematologic malignancies. Diagnosis The diagnosis requires ≥10% clonal bone marrow plasma cells or a biopsy proven plasmacytoma plus evidence of one or more multiple myeloma defining events (MDE) namely CRAB (hyper c alcemia, r enal failure, a nemia, or lytic b one lesions) features felt related to the plasma cell disorder, bone marrow clonal plasmacytosis ≥60%, serum involved/uninvolved free light chain (FLC) ratio ≥100 (provided involved FLC is ≥100 mg/L), or >1 focal lesion on magnetic resonance imaging (MRI). Risk stratification The presence of del(17p), t(4;14), t(14;16), t(14;20), gain 1q, or p53 mutation is considered high‐risk multiple myeloma. Presence of any two high risk factors is considered double‐hit myeloma; three or more high risk factors is triple‐hit myeloma. Risk‐adapted initial therapy In transplant eligible patients, induction therapy consists of bortezomib, lenalidomide, dexamethasone (VRd) given for approximately 3‐4 cycles followed by autologous stem cell transplantation (ASCT). In high‐risk patients, daratumumab, bortezomib, lenalidomide, dexamethasone (Dara‐VRd) is an alternative to VRd. Selected standard risk patients can get additional cycles of induction, and delay transplant until first relapse. Patients not candidates for transplant are typically treated with VRd for approximately 8‐12 cycles followed by lenalidomide; alternatively these patients can be treated with daratumumab, lenalidomide, dexamethasone (DRd). Maintenance therapy After ASCT, standard risk patients need lenalidomide maintenance, while bortezomib‐based maintenance is needed for patients with high‐risk myeloma. Management of refractory disease Most patients require a triplet regimen at relapse, with the choice of regimen varying with each successive relapse.