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Introduction Multiple myeloma (MM) patients have an increased risk of severe coronavirus disease 2019 (COVID-19) when infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Monoclonal gammopathy of undetermined significance (MGUS) precedes MM and related disorders and affects 4.2% of the general population over the age of 50 years. MM and MGUS are associated with immune dysfunction that is believed to contribute to the development of severe COVID-19. Currently, no systematic data on MGUS and COVID-19 have been published. We conducted a large population-based cohort study to evaluate whether MGUS was associated with SARS-CoV-2 infection and the development of severe COVID-19. Methods Data on all SARS-CoV-2 test results and COVID-19 severity was acquired from the COVID-19 Outpatient Clinic at Landspitali - The National University Hospital of Iceland. The first case of COVID-19 in Iceland was diagnosed on February 28 th, 2020. Since then, the Icelandic authorities have followed an aggressive strategy of SARS-CoV-2 testing and contact tracing. All SARS-CoV-2-positive individuals were immediately contacted and those with active infection were enrolled into telehealth monitoring consisting of repeated standardized interviews conducted by a nurse or physician. If clinical deterioration was detected, patients were assessed in person at the COVID-19 Outpatient Clinic and admitted if needed. Study participants were included from the Iceland Screens Treats or Prevents Multiple Myeloma study (iStopMM). The study is an ongoing population-based screening study for MGUS and randomized trial of follow-up strategies. Out of the 148,708 Icelanders who were born 1976 and earlier and were alive on September 9 th 2016, 80,759 (54%) provided informed consent for study participation and 75,422 (94%) of those provided a blood sample for MGUS screening by serum protein electrophoresis (SPEP) and free light chain (FLC) assay. MGUS was determined by current criteria using SPEP and FLC assay data. Individuals who had died, been diagnosed with MM and related disorders, or were undergoing treatment for smoldering MM prior to February 28 th were excluded. First, the association of MGUS and testing positive for SARS-CoV-2 was evaluated. We used a test negative design and included participants who had been tested at least once for SARS-CoV-2 between February 28 th and December 31 st, 2020. The association of MGUS and a positive test for SARS-CoV-2 was assessed using logistic regression, adjusted for sex and age. Next, the association of MGUS and severe COVID-19 was evaluated. Those who tested positive for SARS-CoV-2 were included unless they were hospitalized or living in a nursing home at diagnosis. Participants were followed until discharge from telehealth monitoring or until considered having severe COVID-19. Severe COVID-19 was defined as the composite outcome of the need for outpatient visit or hospital admission and death and as the composite outcome of hospital admission and death. Logistic regression was then performed adjusting for sex and age. Results Of the 75,422 individuals screened for MGUS, 32,047 (42%) were tested for SARS-CoV-2 during the study period of whom 1,754 had MGUS (5.5%). Those with MGUS were older (mean age 66.3 vs 59.1 p Of those who tested positive for SARS-CoV-2, a total of 230 had the composite outcome of requiring an outpatient visit or hospital admission, and death, and 117 had the composite outcome of hospital admission and death. After adjusting for age and sex, MGUS was not found to be associated with either endpoint (OR: 0.99; 95%CI: 0.52-1.91; p=0.99 and OR: 1.13; 95%CI: 0.52-2.46; p=0.76; Table; Figure B) Conclusions: In this large population-based study that included 75,422 individuals screened for MGUS, we did not find MGUS to be associated with SARS-CoV-2 susceptibility or COVID-19 severity. This is contrary to MM which is preceded by MGUS. These findings suggest that immunosuppression in MGUS differs significantly from that of MM and are important since they can inform management and recommendations for individuals with MGUS. Figure 1 Figure 1. Disclosures Kampanis: The Binding Site: Current Employment. Hultcrantz: Intellisphere LLC: Consultancy; Daiichi Sankyo: Research Funding; Curio Science LLC: Consultancy; Amgen: Research Funding; GlaxoSmithKline: Membership on an entity's Board of Directors or advisory committees, Research Funding. Durie: Amgen, Celgene/Bristol-Myers Squibb, Janssen, and Takeda: Consultancy; Amgen: Other: fees from non-CME/CE services . Harding: The Binding Site: Current Employment, Membership on an entity's Board of Directors or advisory committees, Patents & Royalties. Landgren: Amgen: Honoraria; Janssen: Honoraria; Celgene: Research Funding; Janssen: Other: IDMC; Janssen: Research Funding; Takeda: Other: IDMC; Amgen: Research Funding; GSK: Honoraria. Kristinsson: Amgen: Research Funding; Celgene: Research Funding.

Background: In addition to serum protein electrophoresis (SPEP) and serum immunofixation (IFE), measurement of serum free light chains (FLC) has become the hallmark for detection, prognostication, and monitoring of monoclonal gammopathies. However, serum FLC levels are heavily dependent on kidney function due to discrepancy in the rate of kidney clearance of the FLC. As chronic kidney disease (CKD) is common in the general population, it is possible that a large number of individuals have false FLC results. A kidney reference interval (eGFR < 60) has previously been published based on small numers (N=688) for serum FLC ratio (0.37-3.10) instead of the standard reference interval (0.26-1.65), but no kidney reference exists for kappa (3.3-19.4mg/L) or lambda (5.7-26.3mg/L). The aim of this study was to define and improve the reference interval for individuals with various degree of decreased kidney function and assess its effect on prevalence of light chain monoclonal gammopathy of undetermined significance (LC-MGUS) among CKD patients. Methods: A total of 80,759 participants of the Iceland Screens, Treats or Prevents Multiple Myeloma (iStopMM) study were included. Participants were screened by SPEP and IFE as well as by serum FLC assay (Freelite®). Serum creatinine (SCr) value closest to the time of screening was used to calculate (CKD-EPI) eGFR. Participants with M-protein, eGFR >60 mL/min/1.73 m2, missing SCr measurements or more than 1 year from the SCr measurement to the iStopMM screening were excluded. Correlation was assessed graphically and using the Spearman correlation coefficient. A nonparametric bootstrapping method was used to calculate the 95% CI. Partitioning was determined based on the proportion of subgroups (sex, age, eGFR) outside the whole group reference interval (4.1%). However, intervals were not partitioned if subgroups included few participants and/or if deemed more applicable and reasonable for clinical practice. LC-MGUS was defined as FLC ratio outside the reference interval and raised FLC level without evidence of monoclonal heavy chain on SPEP or IFE or end-organ damage attributed to the plasma cell proliferative disorder. Results: Of 75,422 individuals who were screened, 6,503 (12%) participants had eGFR < 60 mL/min/1.73 m2, without evidence of monoclonality on SPEP or IFE and were analysed further. The median (IQR) kappa level was 21.7 (16.6-29.4) mg/L, lambda level 19.0 mg/L (14.8-25.0) and FLC ratio 1.16 (0.97-1.39). Serum FLC levels increased with decreasing eGFR: serum free kappa (ρ= -0.44, p < 0.001), lambda (ρ= -0.39, p < 0.001), and FLC ratio (ρ= -0.15, p < 0.001). Using current reference intervals, 60% and 21% of persons had values outside the normal range for kappa and lambda, respectively. The FLC ratio was outside the standard reference interval in 9% and outside the kidney reference interval in 0.6% of participants. Based on these findings, we established new reference intervals for FLC and FLC ratio (Table). Participants on dialysis (N=26) had significantly higher median (IQR) serum free kappa 29.3 mg/L (26.1-57.6, p = 0.01) and lambda 25.1 mg/L (19.5-52.6, p = 0.01) than participants with eGFR 30-59, but no significant difference compared to participants with eGFR < 30 (p = 0.57). The FLC ratio in participants on dialysis was 1.22 (0.96-1.37), which was similar to participants with eGFR 45-59 (p = 0.63) and 30-44 (p = 0.34). Participants on dialysis had significantly lower FLC ratio than participants with eGFR < 30, or 1.31 (1.10-1.57, p = 0.02). Utilising our novel reference intervals, the crude prevalence of LC-MGUS in all participants with eGFR < 60 was 75 (1.2%), with no difference between participants with eGFR of 45-59, 30-44 and < 30, respectively. When the crude rate of LC-MGUS was compared to a rate based on previous reference intervals, the crude rate of both kappa and lambda LC-MGUS increased in participants with eGFR 45-59, eGFR 30-44 and eGFR < 30 (p Conclusion: Current reference intervals for serum FLC and FLC ratio are inaccurate for patients with decreased kidney function. Here we propose new reference intervals for serum FLC and FLC ratio for use in patients with CKD which also seem to be accurate in patients on dialysis. Implementing these novel reference intervals is likely to increase the sensitivity and specificity of the analyses and lead to a more accurate diagnosis of monoclonal gammopathy in individuals with kidney dysfunction. Figure 1 Figure 1. Disclosures Kampanis: The Binding Site: Current Employment. Hultcrantz: Intellisphere LLC: Consultancy; Curio Science LLC: Consultancy; GlaxoSmithKline: Membership on an entity's Board of Directors or advisory committees, Research Funding; Amgen: Research Funding; Daiichi Sankyo: Research Funding. Durie: Amgen, Celgene/Bristol-Myers Squibb, Janssen, and Takeda: Consultancy; Amgen: Other: fees from non-CME/CE services . Harding: The Binding Site: Current Employment, Membership on an entity's Board of Directors or advisory committees, Patents & Royalties. Landgren: Janssen: Research Funding; Amgen: Honoraria; Janssen: Honoraria; Celgene: Research Funding; Janssen: Other: IDMC; Takeda: Other: IDMC; Amgen: Research Funding; GSK: Honoraria. Kristinsson: Amgen: Research Funding; Celgene: Research Funding.

Introduction Monoclonal gammopathy of undetermined significance (MGUS) is a plasma cell disorder preceding multiple myeloma and related disorders, present in 4.2% of the population over the age of 50. Although usually asymptomatic, MGUS has been associated with various health-related problems, including thrombosis, infections, fractures, neuropathy, and death. Because MGUS is asymptomatic, its diagnosis is typically incidental, during clinical workup for unrelated medical issues, and therefore most individuals remain undiagnosed. Consequently, MGUS cohorts in past studies may have suffered from more comorbidities than the actual population with MGUS. This might have introduced selection bias in previous studies on MGUS, which extent has not been studied in a systematic way. Therefore, previously reported associations between MGUS and various medical issues might not be as profound as formerly observed. The aim of this study was to compare characteristics of incidentally diagnosed MGUS versus MGUS diagnosed by systematic screening, with particular focus on demographics, comorbidities, and MGUS-related factors. Methods The study is based on the Iceland Screens, Treats, or Prevents Multiple Myeloma (iStopMM) study. iStopMM is a population-based screening study for MGUS and a randomized controlled trial of follow-up strategies that has included 54% (n = 80,759) of the Icelandic population above 40 years of age. In total, 75,422 participants were screened for MGUS by serum protein electrophoresis (SPEP) and free light chain (FLC) assay. Information on which individuals had incidentally diagnosed MGUS (clinical MGUS) prior to participation in iStopMM were gathered from the Icelandic cancer registry and laboratory results from Landspítali University Hospital and Læknasetrið, the only laboratories in Iceland that perform SPEP. M-protein concentration, MGUS isotype and FLC ratio were obtained from the original screening samples. Comorbidity data was acquired from two high-quality national registries: Hospital Discharge Register and Register of Primary Health Care Contacts, with >95% completeness and accuracy. MGUS diagnosed by screening was further classified into MGUS with or without M-proteins (light-chain MGUS). Those with clinical MGUS were used as the reference group in all analyses. Since all individuals with clinical MGUS had M-proteins, individuals with light-chain MGUS were excluded from this study. T-test and chi-square test were used for demographic comparison; linear regression adjusting for sex and age for continuous variables, and logistic regression adjusting for sex and age for comparison of categorical variables, regarding MGUS-related factors and comorbidities. Results The study cohort consisted of 3,300 individuals who had MGUS with M-proteins; 224 individuals with clinical MGUS and 3,076 with screened MGUS. The clinical MGUS group was significantly older (p Discussion In this large population-based study including 75,000 screened individuals, we found clinical MGUS cases to be older, more likely to live in Iceland's capital area, and have a higher M-protein concentration than those found to have MGUS while screened on the iStopMM study. Individuals with clinical MGUS also had a higher number of underlying comorbidities and were 1.5-3.3 times more likely to suffer from arrhythmias, chronic kidney diseases, endocrine disorders, heart failure, neurological diseases, and rheumatological diseases. Our findings highlight the importance of screening studies to evaluate the true epidemiological and biological implications of MGUS and suggest selection bias in prior studies. Figure 1 Figure 1. Disclosures Kampanis: The Binding Site: Current Employment. Hultcrantz: Daiichi Sankyo: Research Funding; GlaxoSmithKline: Membership on an entity's Board of Directors or advisory committees, Research Funding; Curio Science LLC: Consultancy; Amgen: Research Funding; Intellisphere LLC: Consultancy. Durie: Amgen, Celgene/Bristol-Myers Squibb, Janssen, and Takeda: Consultancy; Amgen: Other: fees from non-CME/CE services . Harding: The Binding Site: Current Employment, Membership on an entity's Board of Directors or advisory committees, Patents & Royalties. Landgren: Janssen: Honoraria; Janssen: Other: IDMC; Takeda: Other: IDMC; Janssen: Research Funding; Celgene: Research Funding; Amgen: Honoraria; Amgen: Research Funding; GSK: Honoraria. Kristinsson: Amgen: Research Funding; Celgene: Research Funding.

Background: Cancer screening is performed worldwide for several malignancies. Monoclonal gammopathy of undetermined significance (MGUS) precedes multiple myeloma (MM) and related lymphoproliferative disorders (LP). However, less than 5% of all MM patients are diagnosed during their precursor state and individuals who develop MM while being monitored for MGUS have better overall survival and fewer complications, compared to MM patients diagnosed without knowledge of MGUS. Thus, population-based screening for MGUS could identify candidates for early treatment of MM/LPs. To evaluate whether systematic screening is beneficial, we performed the Iceland Screens, Treats, or Prevents Multiple Myeloma (iStopMM) study, the first population-based screening study for MGUS that includes a randomized clinical trial (RCT) of follow-up and treatment strategies. Methods: All living residents of Iceland on September 9th, 2016 who were born before 1976 (N=148,708) were invited to participate. Of those, 80,759 (54.3%) provided informed consent for screening. Serum samples were collected from participants alongside clinical blood sampling in the Icelandic health service between September 2016 and the end of 2020. All samples were shipped to the Binding Site in Birmingham, UK, for screening. Samples were tested for M-proteins by capillary zone electrophoresis and immunofixation electrophoresis performed to confirm and characterize suspected M-proteins. Free light chains (FLCs) were measured using the FreeLite® assay. Individuals with a previous diagnosis of MM/LPs/MGUS (N=237) were excluded. Per protocol and informed consent, participants with MGUS were randomized to one of the three study arms: Arm 1 where participants are not contacted; Arm 2 where individuals are followed based on current guidelines; and Arm 3 where individuals are followed with a more intensive diagnostic and monitoring strategy. Participants who progress are offered early treatment. All participants repeatedly answered questionnaires on quality of life and mental health. Results: A total of 75,422 participants (93.4%) provided a serum sample for screening. Of those, 3,725 (4.9%) had MGUS. The prevalence of MGUS was dependent on age with 2.3%, 6.2%, and 12.9% diagnosed in age groups 40-59, 60-79, and 80-103 years, respectively. The prevalence of MGUS was higher in males, 5.9% vs 4.1% (p The RCT includes 3,487 newly diagnosed MGUS individuals with 1164, 1159, and 1164 individuals in arms 1, 2 and 3, respectively (Table). The median age at diagnosis was 69 years in arms 1 and 2, and 70 years in arm 3. Females constituted 45.9% and the isotypes were IgG (50%), IgA (10%), IgM (18%) and biclonal (8%). The median M-protein concentration was 0.34 g/dL. A total of 428 light-chain MGUS cases were randomized. The demographic distribution was well balanced between the three arms. After a median follow-up of 3 years, 194 patients in the RCT have been diagnosed with any LP: 9 in arm 1, 92 in arm 2, and 133 in arm 3 (p Conclusion: In this large prospective population-based screening study including >75,000 screened persons, we have identified 3,725 individuals with monoclonal gammopathy. In the RCT, after 3 years of follow-up, we show that active screening identifies significantly higher number of individuals with full-blown malignancy and smoldering disease, illustrating the fact that early detection and intervention is achievable. Although our findings are encouraging, until final results of the iStopMM study become available, including data on survival and quality of life, we advise against systematic MGUS screening in healthy individuals. Figure 1 Figure 1. Disclosures Kristinsson: Amgen: Research Funding; Celgene: Research Funding. Kampanis: The Binding Site: Current Employment. Hultcrantz: Curio Science LLC: Consultancy; Daiichi Sankyo: Research Funding; GlaxoSmithKline: Membership on an entity's Board of Directors or advisory committees, Research Funding; Amgen: Research Funding; Intellisphere LLC: Consultancy. Durie: Amgen: Other: fees from non-CME/CE services ; Amgen, Celgene/Bristol-Myers Squibb, Janssen, and Takeda: Consultancy. Harding: The Binding Site: Current Employment, Membership on an entity's Board of Directors or advisory committees, Patents & Royalties. Landgren: Janssen: Research Funding; Celgene: Research Funding; Janssen: Honoraria; Janssen: Other: IDMC; Amgen: Honoraria; Takeda: Other: IDMC; Amgen: Research Funding; GSK: Honoraria.

Introduction: Follicular lymphoma (FL) is the second most prevalent non-Hodgkins lymphoma (NHL) in the United States. Although the clinical course is usually indolent, about 50% of low-grade FL transform to an aggressive lymphoma within 15 years of diagnosis. Somatic hypermutation (SHM) is a normal process in B cells which targets the immunoglobulin locus and introduces point mutations and small insertions/deletions. In diffuse large B cell lymphoma, the SHM misfires and aberrantly targets multiple loci, including some proto-oncogenes (PIM-1, PAX-5, RhoH/TTF and C-MYC). Hypothesis: We hypothesized that acquired mutations in the same proto-oncogenes could be responsible for the clinical transformation of follicular lymphoma. Materials and methods: The clinical database of the Department of Pathology, Washington University School of Medicine, St. Louis was searched to find patients with serial biopsies and the diagnosis of either stable (sFL) or transformed follicular lymphoma (tFL). Thirty-five (35) formalin-fixed paraffin-embedded (FFPE) tissue samples from 17 patients were identified. Eleven of seventeen patients had transformed to large cell lymphoma and six had stable low-grade follicular lymphoma. To exclude the possibility of a second unrelated lymphoma the common clonal origin of the original and follow-up lymphoma was confirmed by comparing immunoglobulin heavy and/or light chain variable gene sequences. Previously identified mutational hot spots in four genes, BCL-6, PAX-5, RhoH/TTF and C-MYC, were amplified and sequenced directly. Results: Fifty-five mutations were found in the four genes sequenced; all patients had at least one mutation. The number of mutations was similar in both the low grade and the transformed specimens overall, and most paired specimens had identical mutations or a single mutation change over time. Of the mutations identified, only mutations in Myc exon 2 correlated with the transformation. Acquired missense mutations were detected in the trans-activation domain of Myc in two of the eleven transformed FL specimens but none of the 24 low-grade follicular lymphoma specimens. The first case had two mutations: Pro57 to Ser57 and Glu39 to Asp39. The second case had a single Glu39 to Asp39 change. One of the mutations (Pro57 to Ser57) is close to a functionally critical phosphorylation site, Thr58, and has been reported in both Diffuse large B cell and Burkitt’s lymphomas. The other mutation (Glu39 to Asp39) has also been reported in both Burkitts and DLBCL cases, and is not reported as a normal variant. Conclusion: There is not an accumulation in the overall number of SHM with transformation as the frequency of SHM is similar in low-grade FL and transformed FL. However, mutations in the trans-activation domain in c-Myc, caused by an aberrant SHM, may play a role in the transformation of low-grade FL to a diffuse, large cell lymphoma in a subset of patients. | Gene Name | % Specimens with SHM | Mutation frequency per 100 bp | Number of unique single base pair substitutions | Number of unique deletions or insertions | Number of substitutions targeting G+C vs A+T | |:------------------- | -------------------- | ----------------------------- | ----------------------------------------------- | ---------------------------------------- | -------------------------------------------- | | NA = Not applicable | | BCL-6 | 63% | 0.14 | 25 | 3 | 16 vs 9 | | PAX-5 | 43% | 0.06 | 7 | 2 | 7 vs 0 | | Rho/TTF | 17% | 0.03 | 8 | 2 | 1 vs 7 | | C-MYC | 31% | 0.02 | 6 | 1 | 6 vs 0 | | All genes | 83% | NA | 47 | 8 | 31 vs 17 | Somatic Hypermutation Analysis of 17 serial Follicular Lymphoma cases (35 specimens)

Background Smoldering multiple myeloma (SMM) is an asymptomatic precursor condition to multiple myeloma (MM). Emerging data from clinical trials indicate that - compared to watchful monitoring - initiation of therapy at the SMM stage might be indicated. Currently, there is no established screening for SMM in the general population and therefore patients are identified incidentally. Here, we define for the first time, epidemiological and clinical characteristics of SMM in the general population based on a large (N>75,000) population-based screening study. Methods The iStopMM study (Iceland Screens Treats or Prevents Multiple Myeloma) is a nationwide screening study for MM precursors where all residents in Iceland over 40 years of age and older were invited to participate. Participants with a positive M-protein on serum protein electrophoresis (SPEP) or an abnormal free light chain (FLC) analysis entered a randomized controlled trial with three arms. Participants in arm 1 continued care in the Icelandic healthcare system as though they had never been screened. Arms 2 and 3 were evaluated at the study clinic with arm 2 receiving care according to current guidelines. In arm 3 bone marrow testing and whole-body low-dose CT (WBLDCT) was offered to all participants. SMM was defined as 10-60% bone marrow plasma cells on smear or trephine biopsy and/or M-protein in serum ≥3 g/dL, in the absence of myeloma defining events. Participants in arm 3 were used to estimate the prevalence of SMM as bone marrow biopsy was performed in all participants of that arm when possible. The age- and sex-specific prevalence was determined with a fitted function of age and sex, and interaction between those. Diagnosis at baseline evaluation of the individuals in the study was used to define the point prevalence of SMM. Results Of the 148,704 individuals over 40 years of age in Iceland, 75,422 (51%) were screened for M-protein and abnormal free light chain ratio. The 3,725 with abnormal screening were randomized to one of the three arms, and bone marrow sampling was performed in 1,503 individuals. A total of 180 patients were diagnosed with SMM, of which 109 (61%) were male and the median age was 70 years (range 44-92). Of those, a total of 157 (87%) patients had a detectable M-protein at the time of SMM diagnosis with a mean M-protein of 0.66 g/dL (range 0.01-3.5). The most common isotype was IgG in 101 (56%) of the patients, 44 (24%) had IgA, 2 (1%) had IgM, and 5 (3%) had biclonal M-proteins. A total of 24 (13%) patients had light-chain SMM. Four patients (2%) had a negative SPEP and normal FLC analysis at the time of SMM diagnosis despite abnormal results at screening. A total of 131 (73%) patients had 11-20% bone marrow plasma cells at SMM diagnosis, 32 (18%) had 21-30%, 9 (5%) had 31-40%, and 8 (4%) had 41-50%. Bone disease was excluded with imaging in 167 (93%) patients (MRI in 25 patients, WBLDCT in 113 patients, skeletal survey in 27 patients, FDG-PET/CT in 1 patient), 13 patients did not have bone imaging performed because of patient refusal, comorbidities, or death. According to the proposed 2/20/20 risk stratification model for SMM, 116 (64%) patients were low-risk, 47 (26%) intermediate-risk, and 17 (10%) high-risk. A total of 44 (24%) had immunoparesis at diagnosis. Using the PETHEMA SMM risk criteria on the 73 patients who underwent testing with flow cytometry of the bone marrow aspirates; 39 (53%) patients were low-risk, 21 (29%) patients were intermediate-risk, and 13 (18%) patients were high-risk. Out of the 1,279 patients randomized to arm 3, bone marrow sampling was performed in 970, and 105 were diagnosed with SMM (10.8%). The prevalence of SMM in the total population was estimated to be 0.53% (95% CI: 0.49-0.57%) in individuals 40 years of age or older. In men and women, the prevalence of SMM was 0.70% (95% CI: 0.64-0.75%) and 0.37% (95% CI: 0.32-0.41%), respectively, and it increased with age in both sexes (Figure). Summary and Conclusions Based on a large (N>75,000) population-based screening study we show, for the first time, that the prevalence of SMM is 0.5% in persons 40 years or older. According to current risk stratification models, approximately one third of patients have an intermediate or high risk of progression to MM. The high prevalence of SMM has implications for future treatment policies in MM as treatment initiation at the SMM stage is likely to be included in guidelines soon and underlines the necessity for accurate risk stratification in SMM. Figure 1 Figure 1. Disclosures Kampanis: The Binding Site: Current Employment. Hultcrantz: Daiichi Sankyo: Research Funding; Amgen: Research Funding; GlaxoSmithKline: Membership on an entity's Board of Directors or advisory committees, Research Funding; Curio Science LLC: Consultancy; Intellisphere LLC: Consultancy. Durie: Amgen: Other: fees from non-CME/CE services ; Amgen, Celgene/Bristol-Myers Squibb, Janssen, and Takeda: Consultancy. Harding: The Binding Site: Current Employment, Membership on an entity's Board of Directors or advisory committees, Patents & Royalties. Landgren: Janssen: Research Funding; Janssen: Other: IDMC; Celgene: Research Funding; Takeda: Other: IDMC; Janssen: Honoraria; Amgen: Honoraria; Amgen: Research Funding; GSK: Honoraria. Kristinsson: Amgen: Research Funding; Celgene: Research Funding.