Zanwar, Saurabh

ABSTRACT As the treatment paradigm for Waldenström macroglobulinemia (WM) continues to evolve, the debate surrounding the prioritization of depth of response versus disease control as therapeutic goals gains significant relevance. However, the impact of depth of response from fixed‐duration therapy on overall survival (OS) was unclear. This multicenter study evaluated the prognostic impact of depth of response using a landmark survival analysis. A total of 440 patients with WM treated with frontline fixed‐duration regimens were included. Attaining a major response (MaR) was associated with superior outcomes, including significantly longer OS. The estimated 5‐year PFS rates for patients with MaR at 6 months versus not were 50% versus 32%, respectively, p < 0.001, and the estimated 5‐year OS rates for patients with MaR at 6 months versus not were 89% versus 70%, respectively, p < 0.001. In a multivariable analysis, MaR at 6 months was independently associated with superior PFS (HR 0.66, p = 0.007) and OS (HR 0.28, p < 0.001). Similar results were seen when considering deeper responses (CR + VGPR vs. PR). Depth of response at 6 months is an important prognostic marker in WM and an independent predictor of PFS and OS. These results support its utilization as a suitable endpoint in clinical studies in WM.

Introduction Malignant histiocytoses (MH), encompassing histiocytic sarcoma (HS), interdigitating dendritic cell sarcoma (IDCS), and Langerhans cell sarcoma (LCS), are a group of rare, hematologic neoplasms with diverse clinical presentations and poor outcomes. There are no established or effective treatments for patients with MH. The discovery of MAPK/ERK pathway mutations in non-malignant histiocytoses have revolutionized the treatment paradigm, but it is unknown whether novel treatments are efficacious for MH. This study aimed to assess the efficacy of targeted agents (TA) and immune checkpoint inhibitors (ICI) in MH. Methods We conducted a retrospective chart review of MH patients seen at our two institutions. Only patients treated with TA and/or ICI were included. We captured the mutational status by next generation sequencing and PD-L1 expression level by immunohistochemistry, where available. We also conducted a systematic literature review using PubMed to identify additional cases of MH patients treated with TA and/or ICI. Responses were reported as complete (CR), partial (PR), or none (NR) using previously published criteria for histiocytic disorders. Results From our institutions, we identified 12 MH patients (7 HS; 4 LCS; 1 IDCS) who received 14 instances of these treatments including TA (n=9) and/or ICI (n=5). The median age at diagnosis was 55 years (range, 33-70) and 50% were males. TAs included BRAF inhibitor (vemurafenib [1]), MEK inhibitors (binimetinib [1], cobimetinib [2], trametinib [2]) and others (dasatinib [1], pazopanib [1], pexidartinib [1]), while ICIs were exclusively pembrolizumab (5). The median number of prior treatments for those who received TAs and ICIs were 4 and 2, respectively. Responses were observed in 44.4% (1 CR, 3 PRs, 5 NR) and 40% (2 CRs, 3 NRs) of patients who received TA and ICI, respectively. Only 1 patient (20%) treated with MEK inhibitor responded [DOCK8-BRAF; PR 5+ mos]. Other responders received dasatinib [PDFGRA-V608I; PR 2 mos], pexidartinib [PTPN11-A72T; PR 5 mos], and vemurafenib [BRAF-V600E; CR 10+ mos]. Two patients (40%) who received pembrolizumab responded (both CRs 12+ [10% PD-L1] and 44+ mos [40% PD-L1]). We identified 29 MH patients in the literature (27 HS; 2 LCS) treated with TAs (22) and/or ICIs (10). TAs included BRAF inhibitor only (vemurafenib [3], dabrafenib [3]), MEK inhibitor only (trametinib [5]), BRAF + MEK inhibitors (2), and others (apatinib, anlotimib, bevacizumab, daratumumab, dasatinib, imatinib, pazopanib, sorafenib, or combinations [9]), while ICIs included pembrolizumab (4), nivolumab (4), tislelizumab (1), and sintilimab (1). Responses were observed in 77% (7 CRs, 10 PRs, 5 NRs) and 100% (2 CRs, 8 PRs) of patients who received targeted agents and ICI, respectively. Most patients carrying BRAF (7/8; V600E, G596R, D594G, TRIM::BRAF) or MAP2K1 (3/3; C121S, F53I) mutations responded to treatments, irrespective of the number of mutations present. The median durations of response for ICI and targeted agents were 10.5 months (range: 1-36+) and 12+ months (range: 3-44+), respectively. After combining the datasets from our institutions and literature review, we analyzed the association between the extent of PD-L1 expression and response to ICI. Those who responded to ICI had higher PDL-1 expression (median 75% [range, 10-75] vs 25% [range, 1-30]; P=0.0097). Conclusion TAs and ICIs can be considered in the management of MH. The responses to ICI therapy may be associated with the degree of PDL1 expression

Introduction: Myeloma response to treatment can be biochemical, pathological, or radiological, with pathological assessments being invasive. Next-generation blood flow (PBF) for assessment of circulating tumor plasma cells (CTCs) has shown promising results as a prognostic in Multiple Myeloma (MM) patients. CTC detection via PBF has a potential to serve as non-invasive method for assessing pathological burden of disease and response to treatment. Comparing CTC responses to the International Myeloma Working Group (IMWG) criteria will further help to understand PBF's utility in predicting response to therapy. Patients and Methods: The study conducted is a retrospective observational study. We included patients with MM treated at Mayo Clinic from 01/01/2011 to 12/31/2019 with CTC records available at the time of best response (BR) to frontline therapy. The CTC values were expressed as the number of plasma cell events per 150,000 Peripheral Blood Mononuclear Cells (CD38, CD138, CD19, CD45, Kappa, Lambda). The CTC levels were compared across all response(IMWG Criteria) groups at BR, and at baseline. The CTC response was expressed as % CTC decrease at BR from baseline. Time-to-event analyses utilized the Kaplan Meier method and Cox-proportional hazards models, with comparisons made using the log-rank test. Results: We identified 621 patients with CTC data at the time of BR to frontline therapy. Of these, 148 (24%) had baseline CTC data from diagnosis. The median age at diagnosis was 62.3 (27.2-83.7). The median follow-up was 66.15 months; the distribution of patients by treatment class is as follows- Alkylator: 0.8%, PI(Proteasome Inhibitor)+Cyclophosphamide: 27.4%, IMid: 12.7%, PI+IMid(Immunomodulator): 55.9%, PI+IMid+antiCD38: 3.2%; 378 patients (78.8%) underwent an autologous transplant. BR to initial therapy was sCR/stringent Complete Response (10, 1.6%), CR (230, 36.9%), VGPR/Very Good Partial Response (224, 36.1%), PR (123, 19.8%), MR/Minimal Response (12, 1.9%), SD/Stable Disease (14, 2.3%), PD/Progressive Disease (8, 1.3%). In the study, 64 patients (10.31%) had detectable CTCs at their BR. The distribution of CTCs across the different response categories was as follows: none (0%) in sCR, 3 patients (1.3%) in CR, 18 patients (8%) in VGPR, 24 patients (19.5%) in PR, 8 patients (66.7%) in MR, 6 patients (42.9%) in SD, and 5 patients (62.5%) in PD. The median CTC counts and their interquartile ranges for these categories showed significant variability: CR had a median of 46 (IQR: 28.5, 923), VGPR had 39.5 (IQR: 15.5, 111.25), PR had 47 (IQR: 22.75, 82.5), MR had 55 (IQR: 28.5, 85), SD had 96.5 (IQR: 22.25, 218.75), and PD had 317 (IQR: 57, 415). This Analysis of Variance (ANOVA) for response-wise distribution of CTC was &lt;0.01. Response was dichotomized as PR and above for sCR, CR, VGPR, PR and less than PR for MR, SD and PD. Median Overall Survival(OS) for PR and above was 127.8 months (vs less than PR 56.7 months, p=0.01). Median OS for CTC+ at BR was 56.7 months (vs 134.8 for CTC negative, p=0.01). On multivariate analysis, presence of CTC at best response (Hazards Ratio = 2.9, n=1.1-2.9), RISS staging at diagnosis (Hazards Ratio = 2.35, n=1.5-3.05), less than PR (Hazards Ratio =1.8, 1.1-2.9) were independent predictors of inferior OS. In patients with data for CTC available at both baseline and at BR to frontline therapy (n=148), 110 had CTC detectable at diagnosis. Among patients in various response categories, a complete disappearance of CTCs was observed in sCR (n=3, 75.0%), CR (n=36, 69.2%), VGPR (n=38, 64.4%), and PR (n=14, 60.9%). CTC responses greater than 90% were noted in VGPR (n=3, 5.1%), PR (n=2, 8.7%), and SD (n=2, 40.0%). No CTC response was reported in sCR (1, 25.0%), CR (16, 30.8%), VGPR (2, 3.4% and 13, 22.0%), PR (3, 13.0% and both 2, 8.7%), SD (1, 20.0% and both 2, 40.0%), MR (1, 50.0%), and PD (1, 33.3% and 1, 50.0%, respectively). The median OS for those with a CTC response was 112.4 months vs 28.2 months for no response. (p=0.01). Conclusion: The presence of CTC at best response is an independent prognostic marker for inferior OS. Depth of response to frontline therapy correspond to a high rate of clearance of CTCs. Presence of CTC at best response provides independent prognostic value beyond the depth of response. A complete clearance of CTC at best response is associated with improved OS. CTC levels have not been corrected for WBC counts and may not be applicable in all settings.

Introduction. Erdheim-Chester disease (ECD), Langerhans cell histiocytosis (LCH) and Rosai-Dorfman disease (RDD) belong to a group of histiocytic neoplasms often driven by mutations in the mitogen activated protein kinase (MAPK) pathway, most commonly in BRAF, MAP2K1 and K/NRAS. Currently, there are 2 drugs approved by the US Food and Drug Administration for the treatment of histiocytic neoplasms, cobimetinib and vemurafenib, both small molecule kinase inhibitors (SMKI) targeting mitogen-activated extracellular signal-regulated kinase (MEK) and BRAF, respectively. BRAF mutations are functionally classified as RAS-independent - either monomers (class I) or dimers (class II) - and RAS-dependent (class III). MAP2K1 mutations are functionally classified as RAF-independent, RAF-regulated, or RAF-dependent. Preclinical studies suggest class I, but not classes II-III, BRAF mutations are sensitive to RAF monomer inhibitors (dabrafenib, encorafenib, vemurafenib) while classes I-II, but not class III, BRAF mutations are sensitive to MEK inhibitors (Yaeger R, Cancer Discovery 2019). In contrast, RAF-regulated MAP2K1 mutants have variable sensitivities to allosteric MEK inhibitors (binimetinib, cobimetinib, selumetinib, trametinib) while RAF-dependent and RAF-independent MAP2K1 mutations are resistant. KRAS mutations are generally resistant to MEK inhibitors (Johnson C, Cancer Discovery 2022). Our study described the clinical efficacy of commercially available SMKIs in patients with histiocytic neoplasms harboring non-BRAFV600E mutations and compared the findings with preclinical data. Methods. We conducted a retrospective chart review of patients with histiocytic neoplasms who were treated with SMKI at Mayo Clinic. Only those who had adequate genomic testing and non-BRAFV600E mutations were included. Responses were categorized as complete (CR), partial (PR), or none (NR) based on established criteria. Results. We identified 31 non-BRAFV600E patients treated with SMKI (2 LCH; 20 ECD; 9 RDD). The median age at diagnosis was 61 years (range: 16-76) and 52% were females. The distribution of BRAF mutations was: class I (V600delinsRE [1]), class II (V495A [1], V471F [1], N486_P490del [2], GAB2-BRAF [1], UBR2-BRAF [1], RNF11-BRAF [1], UBTD2-BRAF [1]), and class III (G466E [1], D594A [1]). The only patient with class I mutation received cobimetinib and had PR. Among those with BRAF class II mutations, 2 received vemurafenib and had NR, while 9 received MEK inhibitors (binimetinib, cobimetinib, trametinib) and most responded (3 CRs, 5 PRs). The patient who had NR required dose reductions due to side effects. Both patients with class III mutation did not respond to cobimetinib. The median duration of responses was 19 months (range: 3+ to 45+) and 3 patients progressed subsequently. The distribution of MAP2K1 mutations was: RAF-independent (E102_103del [2]), RAF-regulated (I103N [1], K57T [1], Q56P [3], F53L [1], K57N [1]) and RAF-dependent (Y130C [1], D67N [1]). Both patients with RAF-independent mutations treated with cobimetinib had PRs. All patients with RAF-regulated mutations treated with allosteric MEK inhibitors responded (3 CRs, 5 PRs). Both patients with RAF-dependent mutations treated with cobimetinib responded (1 CR, 1 PR). The median duration of responses was 15 months (2 to 29+) with 3 patients progressing after treatment cessation due to intolerance. The distribution of RAS mutations was: NRAS (Q16R [1]) and KRAS (K117N [3], A146T [1], T581 [1], G13C [1], G12D [1]). Most patients treated with allosteric MEK inhibitors responded (3 CR, 4 PR, 1 NR). The median duration of response was 15 months (5 to 41) and 2 patients subsequently progressed, one of them after treatment cessation. Conclusions. Among patients with histiocytic neoplasms with non-BRAFV600E mutations receiving SMKI, our study found mixed patterns of concordance between pre-clinical predictions and clinical responses. There was concordance of efficacy in the setting of BRAF classes I-III and MAP2K1 RAF-regulated mutations. However, we found discordant findings in patients harboring RAF-dependent and RAF-independent MAP2K1 mutations as well as KRAS mutations as most responded to allosteric MEK inhibitors.

Background: Venetoclax (Ven), a BCL2 inhibitor, has shown promising responses in multiple myeloma (MM) patients with t(11;14) and/or BCL2 expression. However, consistent benefit in clinical trials remain elusive. This report evaluates the efficacy and safety of Ven combination therapies, including in the non-t(11;14) subgroup, and examines the impact of secondary cytogenetic abnormalities (SGA) on outcomes. Methods: This retrospective study included multiple myeloma (MM) patients without concurrent AL amyloidosis treated with Ven-based combinations at Mayo Clinic sites from January 2015 to December 2023. FISH data was collected at diagnosis and before venetoclax initiation to assess SGAs. Refractoriness was defined by progression on or within 60 days of stopping treatment. Patients refractory to at least one proteasome inhibitor (PI), immunomodulatory drug (ImiD), and anti-CD38 antibody were considered triple-class refractory (TCR). Ven combinations were grouped as: Daratumumab/CD38 antibody (Dara)-Ven based if received Dara ± other drugs, PI-Ven-based without Dara, Ven-dexamethasone (Ven-d), and other combinations (Ven-Misc). BCL2 expression in patients without t(11;14) was determined by immunohistochemistry (IHC). Progression-free survival (PFS) was calculated from treatment initiation to disease progression or last follow-up. Results: We included 232 patients in this study. The median age at diagnosis of MM was 62 years (range 32-87), and the median age at initiation was 68 years (range 35-89). The median time from diagnosis of MM to initiation of Ven was 55 months (95% CI 28, 89 months), and the median follow-up from initiation of Ven-based treatment was 17.2 months (95% CI: 14, 22). Patients had received a median of 3 lines (IQR 4-6); 65% (n=152) of patients were TCR, 71% (n=163) had received autologous stem cell transplant and 7% (n=16) patients had received prior immune effector therapy prior to initiation of Ven-based therapy. The majority (83%, n=190) of the patients harbored a t(11;14); in the patients without t(11;14), a BCL2 expression by IHC was tested in 18 patients and positive in 17 patients. The most common Ven-based combinations included: Dara-Ven-d (19%, n=44), PI-Ven-d (30.2%, n=70), Ven-d (48.3%, n=112), Ven-misc (2.6%, n=6). The overall response rate for the entire cohort was 57% [64% for t(11;14) and 26% for non t(11;14), p&lt;0.0001]. The median PFS for the entire cohort was 9.5 months (95% CI 8.5,13), and the duration of response was 18 months (95% CI 15.2-23.3). The median PFS was 11.8 months (95% CI 9.5-16.7) for patients harboring a t(11;14) compared to 2.9 months (95% CI 1.8, 8.4) for patients without a t(11;14), p&lt;0.0001. Among the non-t(11;14) cohort with BCL2 expression, the median PFS was 1.8 months (95% CI: 1.2-4.2). Among the 190 patients with t(11;14), 18% (34/190) harbored deletion 17p and 32% (60/193) harbored a 1q gain/amplification (referred hereforth as 1q21+) at initiation of Ven-based therapy. In the cohort of patients with t(11;14), the presence of either del17p or 1q21+ (n=85/190) was associated with a significantly inferior PFS [median PFS 8.2 months (95% CI: 5.5,13)] vs. 15.1 months (95% CI: 11.6, 22), p=0.03. At the last follow-up,42 patients had ongoing treatment with ven-based combination. Most common reasons for discontinuation were progression (77% N=140), adverse effect (12%, n=22), patient/provider preference(9%, n=17); 2% (n=4) patients died without progression (3 infection, 1 unclear). The most commonly utilized maximum dose of venetoclax was 400 mg (42%); 15% (n=35) of patients required a dose reduction, and 23% (n=54) received a ramp-up. Tumor lysis syndrome was not noted in any patient. Infectious complications were noted in 23% (n=52). The estimated median OS from initiation of ven-based Rx was 34 months (95%CI 25-47). The estimated median OS for patients without a t(11;14) was 6.2 months (95% CI: 3.3-11.3) compared to 46 months (31.4-54.1), p&lt;0.0001. In the t(11;14) subgroup, the 18-month OS rate was 79% for patients without 1q21+/del17p vs. 50% for patients with a 1q21+/del17p (p=0.002). Conclusion: Venetoclax-based regimens represent an important treatment option for patients harboring a t(11;14). The PFS in patients with BCL2 expression without t(11;14) was poor suggesting lack of efficacy of venetoclax-based regimens for that subgroup. Presence of concurrent del17p and/or 1q21+ with t(11;14) portends an inferior PFS.

Background: The FDA package inserts for all approved chimeric antigen receptor T-cell (CAR-T) therapies state that patients should universally refrain from driving for 8 weeks following infusion. However, there are no clear data to support this recommendation, particularly in multiple myeloma (MM) which all CAR-T therapies use 4-1BB as opposed to CD28 costimulatory domains. Specifically, no seizures were reported in the KarMMa, KarMMa-3, CARTITUDE-1, or CARTITUDE-4 trials. Because patients typically return to their referring oncologists after Day (D) +28 following CAR-T infusion, an additional month of driving restrictions can create confusion for referring oncologists, impose significant burdens for patients and caregivers, and potentially even affect the choice of MM therapy for patients living in remote areas. Methods: We conducted a two-part study within the US MM Immunotherapy Consortium. Firstly, we analyzed data from commercial idecabtagene vicleucel (ide-cel) and ciltacabtagene autoleucel (cilta-cel) recipients (leukapheresis cutoff December 31, 2023) to identify the prevalence of CRS, ICANS, or death between Weeks 5-8 (D+29 to D+56) following CAR-T (Day 0). Patients with index hospital stays lasting over 4 weeks and patients with &lt;8 weeks of post-CAR-T follow-up were excluded. Secondly, we surveyed Consortium members about the prevalence of impaired driving risk (defined as “anything that could impair a patient's ability to drive safely, e.g. seizures, altered mental status, blindness, etc.”) and used 1-5 Likert scales to gauge the perceived importance of driving restrictions (assuming no FDA guidance existed) during Weeks 0-4 vs 5-8. This anonymous IRB-exempted survey was distributed via email to 63 CAR-T-prescribing physicians within the Consortium. Results: Of 553 analyzed patients, 41% (n=224) had received cilta-cel and 59% (n=329) ide-cel. The median age was 64 (IQR 58-70), 42% (n=231) were female, 78% White (n=434), 13% (n=72) Black, and 9% (n=51) Hispanic. ECOG PS at infusion was ≥2 in 11% (n=63) of patients, and 5% (n=28) had had previous CNS co-morbidities such as prior strokes. One patient (0.2%) developed Grade 2 CRS during Weeks 5-8 (onset D+47, resolution one day later); no patients had de novo ICANS after D+28. There were 16 cases of non-ICANS neurotoxicity (including 2 cases of Parkinsonism) diagnosed a median of 24 days after CAR-T (range: 17-147 days), of which 3 cases (all non-Parkinsonian) were first diagnosed during Weeks 5-8. There were 10 deaths (2%) during Weeks 5-8, one due to infection and the remainder from progressive MM. The survey was completed by 45 oncologists (71% response rate), 41 of whom had managed both &gt;5 ide-cel and &gt;5 cilta-cel recipients. Regarding impaired driving during Weeks 0-4, 20% of physicians felt this was never a risk, 36% a risk for 1-2% of patients, 29% a risk for 3-10% of patients, and 16% a risk for &gt;10% of patients. The distribution was significantly different (p &lt; 0.01) for Weeks 5-8: 49% never a risk, 36% a risk for 1-2% of patients, 16% a risk for 3-10% of patients, while no respondents felt this remained a risk for &gt;10% of patients. For Weeks 0-4, 73% agreed that patients should be advised not to drive while 9% disagreed. In contrast, for Weeks 5-8, 14% of physicians agreed with driving restrictions while 78% disagreed (p &lt; 0.01 compared to Weeks 0-4). Discussion: Our two-part study demonstrates that driving restrictions following Week 4 after CAR-T therapy in MM may not be required. The incidence of de novo CRS or any-type neurotoxicity being diagnosed during Weeks 5-8 was &lt;1%, and - if such toxicities developed - patients and physicians could be expected to set appropriate restrictions at that juncture. While 73% of CAR-T-prescribing oncologists agreed that patients should refrain from driving during Weeks 0-4, 78% disagreed with this recommendation during Weeks 5-8. These findings complement other real-world studies (Wesson, Dima, et al, TCT 2024; Ahmed et al, Blood Advances 2024) reporting the rarity of CRS and ICANS after the first month in both MM and lymphoma. Our study is limited by a lack of patient-reported data, which was done intentionally to avoid asking patients about activities undertaken against medical advice. Nevertheless, we believe that narrowing universal driving restrictions to Weeks 0-4 following CAR-T therapy would constitute an evidence-based modification to the package inserts for ide-cel and cilta-cel.

Introduction: The current definition of plasma cell leukemia (PCL) is based on peripheral blood smear (PBS) demonstrating ≥5% plasma cells. However, PCL cases are enriched in translocation t(11;14), which often has a lympho-plasmacytoid appearance. Detection and quantification of circulating tumor plasma cells (CTC) through peripheral blood flow cytometry (PBF) has emerged as a promising approach for assessing disease burden and prognosis in multiple myeloma (MM) patients. While PBF is more sensitive, the potential threshold values on PBF that correspond with the PBS detection of circulating plasma cells (PBS-PC) remain undetermined. It is important to understand this comparison better to categorize PCL based on PBF. Patients and Methods: This is a retrospective cross-sectional diagnostic accuracy study. We reviewed results of patients diagnosed with plasma cell dyscrasia at the Mayo Clinic from January 2011 to December 2020. The presence of circulating tumor plasma cells (CTC) in encounters was evaluated using peripheral blood flow cytometry (PBF) and peripheral blood smear (PBS) for plasma cells (PBS-PC). PBS-PC was measured as a percentage of plasma cells (PC) in a 100-cell manual differential smear count, and PBF was expressed as the number of plasma cell events per 150,000 peripheral blood mononuclear cells (PBMCs) (Ficoll-isolated peripheral blood mononuclear cells using antibodies to CD38, CD138, CD19, CD45, kappa, lambda, sensitivity (Sn)=6.7x10-5). The sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of PBS with respect to PBF were calculated. For threshold analysis, four groups were defined: A = absent PBS-PC, C = ≥1% and &lt;5%, D = ≥5%. Sensitivity and specificity of detecting PBS-PC (y-axis) for groups A vs. B, B vs. C, and C vs. D were plotted against CTC levels on PBF (x-axis) to determine the best cut-off. Area Under the Curve (AUC) was calculated to determine accuracy. Agreement analysis was done for internal validation and reliability assessment. Results: 6066 test records of CTC were reviewed. Circulating tumor plasma cells (CTC) by peripheral blood flow cytometry (PBF) were reported in 1610 (26.5%) instances, and peripheral blood smear for plasma cells (PBS-PC) in 226 (3.7%) tests. Peripheral blood smear (PBS) demonstrated a sensitivity of 9.3%, specificity of 99.5%, positive predictive value (PPV) of 86.7%, and negative predictive value (NPV) of 75.3% when compared to peripheral blood flow cytometry (PBF). The correlation between PBS-PC% and CTC was weakly positive (Spearman's rho=0.27, p&lt;0.01). The median (Q1, Q3) of circulating tumor plasma cells (CTC) for group A (n=5840) was 0 (0, 0), group B (n=82) was 780 (97.75, 4012.75), group C (n=67) was 1801 (61.50, 8723.50), and group D (n=77) was 20518 (2296, 41349) (p-value &lt;0.001). On post-hoc analysis, all pairs had significant differences in CTCs. To distinguish between A and B, a threshold of 32.5 for CTC demonstrated a sensitivity of 81.8% (AUC=87.8%), and to distinguish B and C, 1125 demonstrated a sensitivity of 59.4% (AUC=63.2%). To distinguish between C and D, 5875 for CTC demonstrated a sensitivity of 68.8% (AUC=74.6%). Agreement Analysis: The Bland-Altman plot demonstrates a slight positive bias between the Clonal Event % and %PBS-PC values (mean of difference = 0.28). The variability of differences increases with higher mean values, indicating a potential proportional bias. All predicted thresholds lie within the limits of agreement (LoA) (upper: 6.13, lower: -5.58) and are therefore reliable. The precision range (upper: 0.35, lower: 0.2) is narrower for the predicted thresholds. The methods should not be compared beyond a circulating tumor plasma cell (CTC) count of 9,195. Conclusion: Detection of circulating tumor plasma cells (CTC) by peripheral blood smear (PBS) is very specific but not sensitive and can be improved by peripheral blood flow cytometry (PBF) detection of CTC. Important clinical cutoffs by morphology (presence and ≥5%) have their counterparts by PBF (32 and 5875 out of 150,000 peripheral blood mononuclear cells (PBMC), respectively). The predicted thresholds are reliable. The study is retrospective and may not be generalizable across all demographics and disease severity. Circulating tumor plasma cell (CTC) values aren't absolute counts and may not be generalizable for low white blood cell (WBC) counts.

Background: Multiple myeloma (MM) involves the proliferation of monoclonal plasma cells (PCs) in the bone marrow. The plasma cell labeling index (PCLI), indicating the percentage of PCs in the S-phase, is a key prognostic factor in newly diagnosed multiple myeloma (NDMM) patients. Methods: A retrospective study at Mayo Clinic analyzed bone marrow Affymetrix microarray datasets from 136 NDMM patients (2001-2012). Data normalization and quality assessment were followed by differential gene expression analysis using limma-voom, adjusted for age, BMPC percentage, and disease stage (RISS). Selected genes were dichotomized by median and subjected to logistic regression for high/low PCLI. Data from 594 patients with a Proliferation Index at baseline was pooled from the MMRF (CoMMpass) dataset for validation after normalization across assays. Results: The baseline characteristics of the patients are as follows: 62 (46%) were female and 74 (54%) were male, with a mean age at diagnosis of 61.6 ± 11.5 years. RISS staging included 36 patients (26.5%) at stage 1, 32 (23.5%) at stage 2, 29 (21.32%) at stage 3, and 39 patients (28.67%) with unknown stage. PCLI distribution showed 113 patients (83.7%) with &lt;2%, and 23 (16.3%) ≥2%. Differential Analysis: The differential analyses reveal several critical insights. In the primary continuous differential analysis, 21,367 genes were analyzed, identifying 654 as differentially expressed with an FDR-adjusted p-value ≤0.05. Of these, 481 genes were upregulated (top 5: SPC25, TRAT1, PBK, E2F8, ASPM) and 173 were downregulated (top 5: SPARC, CD24, MYOF, CXCL12, VCAM1). Univariate and multivariate stratified analyses showed significant findings: 668 genes in age stratification, 395 genes in BMPC% stratification, and 536 genes in RISS stratification. In multivariate analysis, 408 genes were significant with an FDR-adjusted p-value &lt;0.05 for PCLI and ≥0.05 for BMPC%, age, and RISS. 3-Fold Internal Validation: 240 significant genes were identified in fold 1, 25 in fold 2, and 167 in fold 3, with 21 genes common across all folds (e.g., MCM10, GTSE1, UBE2S, NCAPG, FOXM1, STMN1, NEK2, CENPF, MND1, HJURP, E2F8, TOP2A, SKA1, CCNB2, CCNF, CHAF1A, PBK, EXO1, AURKB, CDCA2, DHFR). 19 genes were common in the sensitivity analysis by excluding RISS 3. 20 genes were common in categorical analysis (Categories &lt;1%, 1-2%, 2-3%, 3-4%, &gt;4%). 3 Gene-Based Proliferation Score (3GPS): On univariate logistic regression analysis of 21 genes for high/low PCLI, 17 significant genes were identified. In the step-wise multivariate analysis, CDCA2 (OR=11.56), DHFR (OR=9.6), and CENPF (OR=6.11) were significant. Log-odds were used as weights. For the high expression(median and above) of gene as 1 and low expression as 0: 3GPS=2.4*CDCA2+ 2.3*DHFR +1.8*CENPF A cut-off of 2.4 was chosen as CDCA2 had the highest positive concordance rate (90.91%) versus DHFR (86.36%) and CENPF (77.27%). External Validation: In the CoMMpass dataset, the sensitivity and specificity for the presence of high expression of any of the 3 genes with ≥2 Proliferation Index (PI) were 92.4% and 73.8%, respectively (AUC=83.1%). The median 3GPS was 0 for &lt;2 PI (n=238) and 6.5 for ≥2 PI (n=356). The sensitivity and specificity for the 3GPS in predicting ≥2 PI were 82.6% and 93.6%, respectively (AUC=88.1%). Pathway Analysis: Significant pathways using Reactome include polo-like kinase mediated events in G2/M transition, condensation of prometaphase chromosomes in metaphase, resolution of sister chromatid cohesion in anaphase, and APC-Cdc20 mediated degradation of Nek2A for regulation of the cell cycle. p53 signaling, cancer pathways, and microtubule regulation were also mapped. Survival Analysis: In our cohort, for CDCA2 quartiles (Q)3 and Q4, for CENPF Q3 and Q4, and for DHFR Q4 were associated with inferior overall survival. 3GPS ≥2.4 was associated with inferior survival of 60.28 months versus 111.5 months for &lt;2.4 (p&lt;0.01). In the validation dataset, median survival was not reached at 100 months (vs. high 79.7, p&lt;0.01). The multivariate Cox model found 3GPS score ≥2.4 as an independent predictor (HR=1.64, 95% CI: 1.23 - 2.19), along with ECOG status, ISS stage, gender, age, and whether the patient underwent Stem Cell Transplant. Conclusion: CDCA2, DHFR, and CENPF are associated with ≥ 2% PCLI. The 3GPS score can serve as a measure of gene-based proliferation index. Prospective validation is needed for clinical practice.

Background: Patients with relapsed/refractory multiple myeloma demonstrate an increasing incidence of extramedullary disease (EMD), noted in up to 30% of patients. Presence of EMD portends a markedly inferior prognosis with limited response to salvage therapies, including immune effector therapy. Understanding the molecular alterations in EMD is key to exploring novel therapeutic approaches but remains to be well-characterized. Here we describe the mutational landscape and biologic pathways with alterations in a large cohort of patients with EMD. Methods: We included 18 paraffin-embedded tumor tissues from true EMD biopsies (non-bone contiguous disease) for whole exome sequencing (WES); biopsies from paraskeletal/bone-contiguous soft tissue were not considered. Germline sequencing was performed utilizing cryopreserved peripheral blood mononuclear cells (PBMCs) at initial diagnosis from patients without evidence of circulating tumor cells. Additionally, we studied 12 CD138-sorted cryopreserved bone marrow (BM) aspirates collected at the time of development of EMD. Following standard DNA extraction and library construction practices, we performed WES on the EMD, BM and PBMC samples. Variant calling was performed using consensus calls observed in at least 2 out of the 3 callers (Mutect2, VarScan, Strelka2) and these were included for downstream analysis. Synonymous and low-impact variants were filtered. Pathway analysis was performed using the PanCancer driver gene sets and compared using Fisher's exact test. Results: The median age of patients with EMD was 65.6 years (range 46.2-86 years). Seven (39%) patients had de novo (previously untreated) EMD and 11 (61%) had secondary EMD (developed at relapse). The MAPK pathway was frequently mutated, most commonly involving NRAS (33%), KRAS (22%) and BRAF (22%) genes. These mutations were mutually exclusive. Alterations in TP53 were noted in 11% of EMD samples. Single nucleotide variants (SNVs) in epigenetic modulators were frequently noted in EMD, with the most prevalent alterations seen in ARID1A (33%), KMT2C (28%), EP300 (22%) and KMT2B (22%). Both ARID1A and EP300 are postulated to play a role in IRF4 regulation and plasma cell differentiation. Additionally, inhibition of EP300 can be a viable therapeutic strategy in MM through disruption of IRF4 signaling. We noted frequent mutations in the roundabout (ROBO) genes ROBO1 and ROBO2, observed in 22% and 28% of EMD samples, respectively. ROBO1 has been demonstrated to be necessary for myeloma cell adhesion to BM stromal and endothelial cells, with ROBO1 knockout MM cells infused in mice demonstrating a tendency for extramedullary dissemination. Similarly, variants in LRP1B, a frequently altered large putative tumor suppressor gene in the LDL receptor family, were noted in 33 % of EMD samples. Depletion of LRP1B has been demonstrated to promote anchorage-independent growth, cell migration and invasion in vitro. Notably, in the paired BM samples, no SNVs were noted in ARID1A, LRP1B, ROBO1 and ROBO2 genes (q-value not significant). In paired samples, among the shared mutations of interest, we noted expansion of the BRAF clone in 2 EMD samples [variant allele frequency (VAF) of 3% and 13% in BM and 58% and 29% in the paired samples, respectively]. An expansion of a shared KRAS mutation was noted in another EMD sample (VAF of 15% in BM and 29% in EMD). The frequently altered cellular pathways in EMD samples (n=18) included the MAPK pathway (89%), chromatin histone modifier pathway (83%), transcriptional regulation (83%), immune signaling (72%) and RNA abundance (72%). In the cohort of paired EMD and BM samples (n=24), notable enrichment was evident in EMD for MAPK pathway alterations [91% in EMD vs. 25% in BM q=0.02] and chromatin histone modifier pathway (83% in EMD vs. 42% in BM, q &lt;0.01). Conclusions: Patients withEMD demonstrate a near universal presence of alterations in the MAPK pathway. Variants in chromatin modifiers regulating plasma cell differentiation and genes involved in BM stromal adhesion and homing of plasma cells were frequently noted, potentially facilitating the extramedullary spread of myeloma cells. Functional studies are needed to evaluate these hypotheses. Targeting EP300, ARID1A and downstream MEK/ERK inhibition as part of combination therapies may represent promising therapeutic approaches for further exploration in EMD.