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Introduction: The outcomes of patients diagnosed with multiple myeloma (MM) have improved significantly with the advent of immunomodulatory drugs, proteasome inhibitors, anti-CD38 monoclonal antibodies, and high-dose chemotherapy followed by autologous hematopoietic stem cell transplantation (HSCT). Further advancements include immune-based approaches such as bispecific antibodies and chimeric antigen T-cell receptor therapy. However, most of these therapies are predominantly available in developed countries, with limited access globally. Our study aimed to ascertain the landscape of interventions being used in developing countries for MM, and their efficacy. Methods: A comprehensive search was conducted on March 13, 2023, using Embase via Elsevier, PubMed, Scopus, CINAHL, and CENTRAL. We included retrospective and prospective studies that were evaluating interventions for patients with plasma cell dycrasias in the developing country setting. We defined developing country according to the United Nations. For comparative studies, we calculated the risk ratio (RR) for binary outcomes such as overall survival (OS) and progression-free survival (PFS), estimating 95% confidence intervals (CIs) and pooling data using the DerSimonian and Laird random effects model. For non-comparative studies, we calculated overall event rates and transformed them using the Freeman-Tukey double arcsine method, then pooled the data using the same random effects model. All statistical analyses were conducted using R version 4.4.0. Results: A total of 448 records were identified, of which 37 studies met the eligibility criteria. The overall risk of bias was moderate. The included studies evaluated induction treatments using doublet and triplet-based therapies, including TD (thalidomide and dexamethasone), VD (bortezomib and dexamethasone), MP (melphalan and prednisone), CTD (cyclophosphamide, thalidomide, and dexamethasone), VTD (bortezomib, thalidomide, and dexamethasone), and VAD (vincristine, doxorubicin, and dexamethasone). Lenalidomide was notably absent in the induction regimens apart from one non-comparative study reported on the use of RVD (lenalidomide, bortezomib, and dexamethasone). Studies were divided into comparative (n=11) and non-comparative groups (n=26). Comparative studies included: HSCT vs. no HSCT, induction with alkylating agents vs. thalidomide or bortezomib, and thalidomide vs. bortezomib or CTD vs. VTD. Lenalidomide use in comparative studies was reported only post-HSCT, compared against observation. High-dose chemotherapy followed by autologous HSCT was commonly utilized, with most studies reporting outcomes for patients who underwent autologous HSCT. Two comparative studies from 2 countries (Colombia and India) compared the overall survival of autologous HSCT in patients diagnosed with MM (N=130) vs. patients who never received ASCT (N=293). At one year of follow-up, there was no significant difference in overall survival (OS) between patients who received autologous HSCT and those who did not (relative risk [RR] = 1.11, 95% CI: 0.93-1.33). However, a significant improvement in OS was observed at five years post-autologous HSCT (RR = 1.59, 95% CI: 1.38-1.82). The pooled estimate for five-year OS in single-arm studies, which included nine cohorts from seven countries (Pakistan, India, Colombia, Algeria, Sri Lanka, Mexico, and Peru), was 62% (95% CI: 48-75). Progression-free survival (PFS) at five years post-HSCT, reported in three cohorts from three countries (India, Algeria, and Mexico), was 44% (95% CI: 23-67). Conclusions: Most of the recent advancements in MM treatment, including immunomodulatory drugs, proteasome inhibitors, and anti-CD38 monoclonal antibodies, were not widely utilized globally, particularly in developing countries. This limited access is a major issue, hindering the potential improvement in patient outcomes. However, high-dose chemotherapy followed by autologous HSCT showed good outcomes, demonstrating a significant survival advantage at five years follow-up. The lack of survival benefits at one-year post-HSCT may be due to high toxicity and/or limited resources to manage side effects in developing countries. Addressing the disparity in treatment availability is crucial for improving MM management and patient survival globally.

Background: Recent advancements in multiple myeloma (MM) diagnosis and treatment significantly improved patients' survival and quality of life. Severe Renal Impairment (RI) remains a significant challenge in newly diagnosed MM (NDMM), complicating treatment and affecting outcomes. Prior studies reported improved overall renal recovery in the era of novel therapies. However, there is a lack of evidence documenting the outcomes of patients presenting with severe RI. We present an updated analysis of the characteristics and outcomes of patients with NDMM presenting with severe RI in an ethnically diverse, low socio-economic population. Methods: A single-center retrospective review of patients with NDMM presenting to Montefiore Medical Center (Bronx, New York) was conducted from 2011-2023. Severe RI was defined as an estimated glomerular filtration rate (eGFR) of less than 30 mL/min/1.73 m². MM risk was assessed using the mSMART 3.0 tool. Results: Out of 284 patients with NDMM, 58 (20%) patients presented with severe RI. Black patients (p = 0.018) and older adults (64 years vs 60 years, p value 0.032) were more likely to present with severe RI. Severe RI at diagnosis correlated with high-risk myeloma (p = 0.002), high R-ISS stage (p < 0.001), and a lower likelihood of receiving stem cell transplants (p < 0.001). Among those with severe RI, 23/58 required dialysis of which 6/23 were taken off dialysis at last follow-up after renal recovery. Median eGFR at diagnosis, 6 months and 1 year after diagnosis was 11, 23 and 23.5 ml/min/1.73 m2, respectively. 14 out of 58 patients (39%) achieved renal recovery to eGFR > 30 one year post-diagnosis, with no significant difference in race, sex, or ethnicity. The most common first-line treatment for patients with severe RI was CyBorD (62%). The median time from diagnosis to first treatment (including plasma exchange) was 10 days. By the last follow-up, 35/58 patients (60%) had a stem cell transplant, with a median time from diagnosis to transplant of 275 days. The median overall survival (OS) for patients with severe RI at diagnosis was 49 months, while it was not reached for those without severe RI (p < 0.001). Early death (≤ 2 months after diagnosis) occurred in 2 patients, both with severe RI. Among patients with severe RI, multivariate Cox regression survival analysis showed that achieving free light chain (FLC) below 500 mg/L (HR 0.212, p < 0.001) and receiving a stem cell transplant (HR 0.209, p 0.002) improved outcome. Conclusions: Despite improvements in the life expectancy of patients with MM, severe renal failure remains a challenge, particularly among minorities. Socioeconomic factors need to be explored as a contributor to outcomes in patients with severe RI. Achieving FLC clearance and undergoing stem cell transplant may play a role in survival in patients with NDMM and severe RI.

Introduction: Advances in AI have enabled the generation of synthetic individual patient data (SynthIPD) that mimics the statistical properties of the real IPD, which can help generate subgroup-specific insights in the absence of subgroup-specific IPD. We apply this technology in evaluating Daratumumab treatment benefit in high-risk cytogenetic multiple myeloma subgroup. The addition of daratumumab to standard multiple myeloma (MM) regimens has been associated with improved response rates and clinical outcomes. A systematic review (meta-analysis) enables further evaluation of the effectiveness of daratumumab for MM patients with high-risk cytogenetic factors. However, concerns have been raised about meta-analyses due to the statistical model assumptions they impose. This study aims to address these limitations by employing SynthIPD to provide a more robust analysis. Methods: This study focuses on newly diagnosed multiple myeloma (NDMM) and relapsed or refractory multiple myeloma (RRMM) patients with high-risk cytogenetic profiles. We included six published studies: ALCYONE, CASSIOPEIA, and MAIA for NDMM, and CANDOR, CASTOR, and POLLUX for RRMM. Large language models were used to extract up-to-date clinical evidence from the literature. SynthIPD including cytogenetic risk profile were generated via digitization and an innovative optimization algorithm. Meta-analyses based on random effects models were then conducted, and the results were compared with those from pooled analyses using synthetic data. Results: SynthIPD for cytogenetic high-risk patients were generated for three studies for NDMM: ALCYONE (treatment vs control: n=53 vs n=45), CASSIOPEIA (n=82 vs n=86), MAIA (n=48 vs n=44); and three studies for RRMM: CANDOR(n=48 vs n=26), CASTOR (n=40 vs n=35), POLLUX (n=35 vs n=35). The generated hazard ratios (HRs) for each study closely aligned with the reported HRs for high-risk patients, with a maximum relative error of less than 2%. By pooling these datasets, we obtained SynthIPD datasets for NDMM and RRMM patients. Stratified Cox regression analyses yielded HRs of 0.764 (95% CI 0.529-1.104) for NDMM and 0.431 (95% CI 0.294-0.613) for RRMM. Random-effects meta-analyses showed HRs of 0.764 (95% CI 0.529-1.104) for NDMM and 0.425 (95% CI 0.287-0.621) for RRMM. Compared with traditional meta-analysis techniques, the synthetic data approach provides additional clinical insights that were not available in the original publications. For instance, the clinical results for the six studies within high-risk group (e.g., KM curves in high-risk subgroup) can be reproduced, which were not reported in the original studies. Conclusion: AI-generated synthetic data enhances the robustness of conventional meta-analysis outcomes. The identification of HRs and corresponding confidence intervals through SynthIPD enhances the credibility of our proposed method, offering a reliable approach to evaluating the efficacy of daratumumab in high-risk patients. Since SynthIPD includes individual covariate information, any statistical results derived from the original IPD can be effectively approximated using SynthIPD. Using the SynthIPD, we show that the addition of daratumumab to standard regimens improves PFS for RRMM patients with high-risk cytogenetic factors, although its benefit for NDMM patients is not statistically significant. This analysis can be extended to other multiple myeloma high risk subgroups.

We previously showed that both reactive oxygen species-inducing chemotherapy and some genetic subtypes of B precursor acute lymphoblastic leukaemia (ALL) can induce bone marrow (BM) mesenchymal stromal cells (MSC) to become cancer associated fibroblasts (CAFs). Exposure of MSC to ALL-cell conditioned media (CM) is sufficient to generate CAFs - direct cell-cell contact is not required (Burt, Dey et al, 2024). We showed that CAFs can lead to chemoresistance via transfer of mitochondria to ALL cells through tunnelling nanotubes (Burt, Dey et al 2019). We noted that CAFs in the ALL BM had features of senescence, prompting the current study in which we aimed to investigate the link between senescence and CAFs in ALL. We used 3 genetic subtypes of ALL; BCR::ABL1 (SD1 cells, representing “adult” ALL) , ETV6::RUNX1 (REH cells, representing “childhood” ALL) and KMT2A::AFF1 (SEM cells, known from our previous work NOT to induce CAFs). We exposed HS27a stromal cells to the ALL CM at a number of timepoints over a period of three weeks and characterised senescence using qPCR, cytochemical B-galactosidase assays, flow cytometry and immunofluorescence (IF). Cytokine arrays were performed to quantify the senescence associated secretory phenotype (SASP) components and assess the complexity of SASP components in all three ALL subtypes. A more prolonged exposure (> 10 days) to CM was required for senescence to develop in contrast to CAF formation which occurs early (2-3 days) in HS27a MSC cells. Senescence marker expression peaked at around day 11 to day 14 of CM exposure before subsiding to lower levels around day 21. On day 14, 70% of HS27a cells treated with SD1 CM were positive for beta galactosidase compared to below 25% positive for REH and SEM cells. Cell cycle arrest was demonstrated by P16 and Ki67 IF. 95% of SD1 CM treated HS27a cells were positive for P16 compared to less than 10% in RPMI control. Likewise, only 29% of HS27a exposed to SD1 CM were Ki67 positive compared to 66% in the RPMI control. Expression levels of other senescence-associated markers such as SERPINE1, SERPINB2, SOD2, NFKB1 were quantified by qPCR and were all significantly (p<0.001) upregulated in SD1 CM treated HS27a (2 to 40 fold) compared to SEM CM (-2 to 5 fold) and REH CM (-0.5 to 1.0) treated HS27a. SASP associated cytokines IL6 (1000-5000pg/ml), IL8 (2500-5000pg/ml), CXCL10 (500-1500pg/ml), CCL5 (1500-2250pg/ml), IL10 (25-50pg/ml), were significantly (p<0.0001) upregulated in the SD1 CM treated HS27a compared to controls and other ALL cell line exposed HS27a. Finally, HMGB2 and LMNB1 genes, loss of which is associated with senescence were significantly (p<0.001) downregulated in the SD1 CM (-2.5 to 0.5 fold) treated HS27a compared to controls. In view of the prominence of senescence in SD1-exposed HS27a cells, we tested the effects of two different senolytic drugs venetoclax (BCL2i) and navitoclax (BCL2i/BCLXLi) in vitro. Briefly, HS27a cells were exposed to SD1 CM for 11 days, and after washing, increasing concentrations of the drugs were added for up to 72 hrs followed by washing, fixing and DAPI-staining and counting. HS27a exposed to SD1 CM was highly sensitive to low dose treatment of navitoclax (0.5uM) with 80% cell death 48 hrs post treatment. HS27a cells exposed to SD1 CM were less sensitive to venetoclax with only 50% cell death observed at higher doses (5uM) even after 72 hrs post treatment. Further senolytic drug screening experiments are ongoing. Our data suggest that BCR::ABL1 but not ETV6::RUNX1 or KMT2A::AFF1 ALL cells, can induce paracrine senescence in HS27a MSC cells. We suggest that paracrine senescence in the stromal microenvironment may be a component of treatment response in B-ALL. ^^ and ** contributed equally

Abstract Waldenstrom macroglobulinemia (WM) is a lymphoplasmacytic lymphoma associated with an increase in serum immunoglobulin M (IgM) monoclonal protein. The underlying causes of the disease are still not fully understood, but cells in the bone marrow (BM) microenvironment (TME) are anticipated to play a significant role in disease progression. We previously reported that myeloid-derived suppressor cells (MDSCs), a phenotypically heterogeneous group of cells known for their ability to suppress immune responses, are expanded in the bone marrow of patients with WM and that the expansion of MDSCs is particularly notable for increased numbers of polymorphonuclear MDSCs (PMN-MDSCs). In the present study, we evaluated the ability of WM cells to attract MDSCs to the tumor microenvironment (TME). We also evaluated whether PMN-MDSCs suppress the cytotoxic function of T-cells and thereby promote the survival of WM cells. Our study confirms the expansion of MDSCs, notably PMN-MDSCs in BM of WM patients as compared to normals. We also found that PMN-MDSCs expressing CD66b was a predominant population in WM patients. To determine the phenotype and transcriptome of both PMN-MDSCs and monocytic MDSCs (M-MDSCS) in WM, we compared BM aspirates from WM patients to normal bone marrow (NBM) and performed cellular indexing of transcriptomes and epitopes by sequencing (CITEseq) analysis (WM=3, NBM=2) followed by qPCR validation. We found that MDSCs in WM express significantly higher levels of HIF1-α overall (p<0.02) compared to NBM. Furthermore, PMN-MDSCs are more abundant in WM bone marrow than M-MDSCs and express significantly higher levels of CXCR4 (p<0.001), myeloperoxidase (MPO; p<0.0003), and azuricidin (AZU1; p<0.0004), suggesting an activated phenotype. To determine whether WM cells attract MDSCs to the BM, we performed a transwell assay and showed that WM cells (BCWM.1 cell line) attracted MDSCs, particularly PMN-MDSCs, to a greater extent than M-MDSCs (n=3; p<0.001). We next evaluated whether MDSCs prevent cytotoxic T-cells from lysing WM cells. In-vitro co-culture studies with BCWM.1 cells and T-cytotoxic cells (B:CD8-T) showed that T-cytotoxic cells were able to lyse the WM cell line by 46.4% , (median range 46.4 - 47.8%, p=0.001). However, when BCWM.1 cells and T-cytotoxic cells were co-cultured in the presence of MDSCs (i.e B:CD8-T:M), the specific lysis of BCWM.1 cells was reduced by 12.6% respectively (range 2.2- 12.6%, p<0.001). Furthermore, we observed that B:CD8-T:M co-culture significantly reduced CD8-T cell activation as compared to activated T cells alone (17.9%) (median range 17.8- 18%, p<0.001). In contrast, no affect was observed with B: CD8-T coculture by 91% (range 90.6- 91.4% p<.001) confirming that MDSCs suppress CD8-T cell activation. Our study therefore provides evidence that MDSCs in WM have an activated phenotype and that PMN-MDSCs in WM are attracted by malignant cells in the bone marrow. Furthermore, we find that the increased presence of PMN-MDSCs in the WM bone marrow environment suppresses T-cell lysis of malignant cells and may thereby contribute to disease progression. These findings provide a strong rationale for targeting MDSCs as a potential therapeutic strategy in WM.

Introduction: Paroxysmal nocturnal hemoglobinuria (PNH) is a rare and severe hematologic disorder caused by somatic mutation(s) in hematopoietic stem cells, which results in dysregulation of complement activation and complement-mediated hemolysis. Several complement inhibitors are approved for PNH, including the intravenous or subcutaneous C5 inhibitors (C5is) eculizumab, ravulizumab, and crovalimab; the subcutaneous self-administered C3 inhibitor pegcetacoplan; and the oral factor B inhibitor iptacopan and factor D inhibitor danicopan (as add-on therapy to a C5i). Although oral self-administered medications would be expected to lighten treatment burden over injectable medications in patients with PNH, adherence to anticomplement therapies is essential to maintain stable hematologic response while avoiding adverse events of breakthrough hemolysis and thrombosis. Real-world adherence to pegcetacoplan in patients with PNH was evaluated and compared with reported real-world adherence to long-term oral therapies for chronic conditions. Methods: A descriptive review of recent literature was conducted to summarize real-word oral medication adherence rates in chronic conditions. The Medical Subject Headings “compliance, medication” and “administration, oral” were applied in PubMed, and yielded reports on oral antidiabetic medications (OADs) in type 2 diabetes, oral anticoagulants (OACs) in atrial fibrillation (AF), and oral oncolytics in hematologic cancers; observational, real-world studies reporting medication adherence rates were reviewed and summarized. Adherence to pegcetacoplan therapy among patients with PNH in the US postmarketing setting was calculated as the percentage of patients who take pegcetacoplan as prescribed (adherence definition) based on the number of days patients had pegcetacoplan vials in their possession (dispensed) divided by the total number of days in a dispensing period (proportion of days covered) using central pharmacy prescription refill data. Results: In general, patients who take ≥80% of prescribed doses are considered adherent; using this definition, adherence rates among patients receiving long-term therapies for chronic conditions are typically 50% to 60% but vary greatly [Kleinsinger F. Perm J. 2018;22:18-033]. For example, reported OAD adherence rates in type 2 diabetes vary across countries (42% in Switzerland [Huber CA et al. Medicine (Baltimore). 2016;95:e3994] to 67% in Canada [Simard P et al. Acta Diabetol. 2015;52:547]) and by medication types (36.7% with thiazolidinediones to 47.3% with dipeptidyl peptidase 4-inhibitors [Farr AM et al. Adv Ther. 2014;31:1287]). OAC adherence rates in AF range widely (~40% to ~90%), differing across countries, patient populations (incident AF vs. post cardiovascular event), OAC types (warfarin, direct OACs), and follow-up period lengths. OAC adherence is also influenced by patient demographic and clinical characteristics and regional determinants in US Medicare beneficiaries [Hernandez I et al. J Am Heart Assoc. 2019;8:e011427]. Interestingly, an inverse relationship between oral medication adherence and dosing frequency is observed in chronic diseases in general (progressively decreasing adherence rates from once-daily to twice, 3-times, and 4-times daily dosing regimens [Coleman CI et al. J Manag Care Pharm. 2012;18:527]), and with OACs in AF [Vrijens B, Heidbuchel H. Europace. 2015;17:514]. As with other chronic conditions, nonadherence to oral oncolytics in hematologic cancers is more prevalent than suspected (32.7%) and associated with poorer clinical response [Noens L et al. Blood. 2009;113:5401], which can further increase the economic burden on patients [Dashputre AA et al. J Manag Care Spec Pharm. 2020;26:186]. Pegcetacoplan adherence for PNH in the US postmarketing setting from launch (2021) to date (2024) was estimated at 97%, well above the 80% threshold defining medication adherence in the literature. Conclusions: Real-world patients with PNH who self-administer pegcetacoplan subcutaneously have adherence rates exceeding the reported real-world adherence rates for oral medications in chronic conditions, especially those with high dosing frequencies. Retaining a stable hematologic response and preventing potentially life-threatening complications in PNH relies on continuous patient adherence to lifelong anticomplement therapies.

Background: Despite effective front-line therapies, DLBCL & MM have high relapse rates. Novel therapies like CAR-T & bispecific antibodies (BsAb) offer deep & durable remission compared to salvage therapies, but have a unique toxicity profile (TP) that requires monitoring. With no head-to-head trials, the rationale for therapy selection may vary. This study explores provider choices, sequencing preferences, & access barriers. Methods: Two anonymous surveys (MM and DLBCL) of US-based Hematologists were conducted from 2/2024 to 6/2024, on practice settings, CAR-T & BsAb availability, treatment preferences & barriers. Responses were analyzed to assess preferences across clinical scenarios. Results: Surveys were completed by 37 MM & 45 DLBCL providers. Most were at centers offering both CAR-T & BsAb. Most gave CAR-T inpatient, & BsAb outpatient. CAR-T was given by 73% MM providers & 66% DLBCL (92% used Cilta-cel, 96% used Ide-cel; 100% used Axi-cel, 90% used Liso-cel & 73% Tisa-cel). In MM, 78% used Teclistamab, 60% Talquetamab & 24% Elranatamab. In DLBCL, 62% used Epcoritamab & 40% Glofitamab. Providers preferred CAR-T over BsAb in MM after 4+ prior lines of therapy (LOT) (89%), & in DLBCL after 2+ prior LOT (93%). CAR-T was favored more among academic providers & those at CAR-T centers. Practice volume did not impact selection. Among providers at centers with BsAb-only, CAR-T was preferred by 60% (MM) and 50% (DLBCL). Providers at centers without both favored CAR-T (MM: 75%, DLBCL: 86%). CAR-T was chosen for better outcomes, short treatment, center choice, & prior experience. Other factors that influenced decisions were lower incidence of cytopenia/infection & “BsAb effective post-CAR-T, less so vice versa” (MM), & “curative potential of CAR-T” (DLBCL). Logistical barriers & institutional constraints influenced BsAb selection: CAR-T unavailability, access to specialized centers, referral complexity, insurance delay, manufacturing delay & hospitalization needs. In MM, 78% providers preferred Cilta-cel over Ide-cel, especially academic providers & those with CAR-T experience. CAR-T volume did not impact selection. Cilta-cel was preferred due to perceived better response rate (RR), more experience, “progression-free survival (PFS) benefit”, center choice, & logistical issues with Ide-cel. Ide-cel was selected due to center choice, favorable TP & insurance preference. Teclistamab was preferred by 78% due to more experience, better RR, TP & center choice, Elranatamab by 11% (better TP, RR, & “PFS”), & Talquetamab by 11% due to having a non-BCMA target. Academic providers preferred Teclistamab (89% vs 50%), & nonacademic providers preferred Talquetamab (38% vs 4%) and Elranatamab (13% vs 8%). In DLBCL after 2+ LOT, 69% favored Axi-cel due to prior experience, RR, center choice, & logistical issues with other products. Liso-cel & Tisa-cel were chosen by 27% & 2%, respectively, due to favorable TP. Axi-cel was also preferred 2nd line by 73% for similar reasons, while 24% favored Liso-cel for its favorable TP. Epcoritamab was preferred by 56% (subcutaneous injection, more experience & center choice) & Glofitamab by 42% (shorter treatment duration, easy administration, more experience, & center choice). Practice setting & volume did not impact selection between products in DLBCL. InBCMA-naïve MM pts, majority (97%) chose an anti-BCMA agent over GPRC5D due to better RR, TP, prior experience, & center choice. InBCMA-exposed pts, most (92%) favored an anti-GPRC5D agent. In contrast in DLBCL, 80% chose CD19 CAR-T after prior CD19-directed therapy, & 18% chose CD20 BsAb. Therefore, antigen escape was less of a concern in DLBCL vs MM. For relapse after 2nd line CAR-T in DLBCL, 78% preferred BsAb over other salvage options due to better RR, TP, & more experience. Providers prioritized RR, survival, & TP in decision making. Treatment logistics, duration, frequency, & cost were less crucial. MM providers also prioritized quality of life, which was less so in DLBCL. There were no differences in priority based on practice setting & experience with CAR-T. Conclusion: The study highlights factors influencing therapy choices in MM & DLBCL. Despite CAR-T's potential for better outcomes, significant access barriers exist. Efforts to streamline referral pathways, logistics, & expanding availability are crucial to improve outcomes. Understanding these preferences & barriers can guide future management strategies.

Introduction: Over 80,000 new cases of Non-Hodgkin's Lymphoma (NHL) are diagnosed annually, but modifiable risk factors are largely unknown. Circadian disruption has been identified as a risk factor for several cancers, including breast and prostate cancer, and affects immune cells such as Natural Killer (NK) cells and T-helper cells. Disruptions in circadian rhythms can lead to aberrant immune cell trafficking and proliferation. Despite this biological connection, evidence linking circadian disruptions to NHL remains inconclusive. Only single Mendelian Randomization (MR) study (PMID: 32895918) has explored the causal relationship between sleep traits and overall NHL risk, without examining NHL subtypes. Studies have shown distinct risk factor profiles among NHL subtypes. Therefore, this study aims to investigate the causal relationship between sleep traits and NHL subtypes in European populations using MR. Methods: We conducted a two-sample MR analyses using genome-wide association studies (GWAS) summary data on sleep traits and NHL subtypes. The GWAS summary statistics on sleep traits were obtained from publicly available UKBiobank datasets. The sleep traits analyzed included chronotype (N=449,734), insomnia (N=237,627), sleep duration (N=446,118), daytime sleepiness (N=452,071), short sleep (N=411,934), and long sleep (N=339,926). Only independent, genome-wide significant SNPs (p < 5×10-8) were considered as valid instruments. The NHL subtype-specific summary statistics came from the InterLymph including follicular lymphoma (FL: N=6,508 cases / 64,183 controls), mantle cell lymphoma (MCL: N=1,169 cases / 61,603 controls), and Waldenström macroglobulinemia/lymphoplasmacytic lymphoma (WM/LPL: N=1,697 cases / 59,333 controls). Our primary analysis used the random-effects inverse-variance weighted (IVW) method. In addition, we employed MR-Egger to adjust for directional pleiotropy. Heterogeneity in the MR results was evaluated with Cochran's Q statistic. Results: The IVW method did not identify any statistically significant causal association between sleep traits and the risk of NHL subtypes (FL,MCL,WM/LPL), but did yield several intriguing associations. Chronotype (early rising) showed a tendency towards a marginally an increased NHL risk across subtypes [Odds ratio (OR) range: 1.07 - 2.56]. Conversely, a decreased risk was noted for long sleep (≥ 9 hours vs. 7-8 hours) [OR range: 0.19 - 0.62], insomnia [OR range: 0.72 - 0.88], and short sleep (excludes MCL) [OR range: 0.12 - 0.72]. Confidence limit for long sleep was wide due to small number of variants (N=8). The MR-Egger regression analysis did not provide evidence of significant directional horizontal pleiotropy. The F-statistics for all sleep traits were greater than 10 indicating absences of weak instrument bias. Conclusions: Our study found no statistically significant associations between sleep traits and three NHL subtypes (FL, MCL, WM/LPL) in European populations. However, we observed potential influences of chronotype, long and short sleep, and insomnia on NHL risk. These findings align with and extend previous MR study by providing subtype-specific insights. Future directions include expanding our analysis to additional NHL subtypes, generating polygenic risk scores, and conducting stratified analyses using the InterLymph population. These efforts aim to further elucidate the complex relationship between sleep characteristics and NHL risk across diverse subtypes and populations.

Introduction Multiple myeloma (MM) is considered incurable. Despite improved outcomes with novel agents, including BCMA-targeted chimeric antigen receptor (CAR) T-cell therapies, antibody-drug conjugates (ADCs), and bispecific antibodies, patients with relapsed/refractory MM (RRMM) often have poor prognoses. LINKER-MM1 (NCT03761108) is a global, single-arm, Phase 1/2 study of linvoseltamab, a BCMA×CD3 bispecific antibody, in patients with RRMM who were either triple-class exposed (TCE; previously treated with a proteasome inhibitor, immunomodulatory drug, and anti-CD38 antibody) during ≥3 prior lines of therapy (LOTs), or triple-class refractory to these therapies. Here, we present comparisons of clinical outcomes from LINKER-MM1 with those of a current, international, real-world (RW) external control arm (ECA; NCT05673967). Methods The ECA was derived from 16 academic sites of the International Myeloma Foundation International Myeloma Working Group (IMWG) (N=203; 309 eligible LOTs) and compared with linvoseltamab (N=105; Phase 2 200 mg cohort). Patients in the ECA initiated ≥1 anti-MM therapy after meeting key LINKER-MM1 eligibility criteria. Weighted random sampling and inverse probability of treatment weighting were used to select 1 LOT per patient and balance the ECA and trial populations on prespecified prognostic factors (Kumar S, et al. IMS 2023). The primary endpoint was objective response rate (ORR; IMWG criteria) determined by an independent central review committee (ICRC) based on myeloma laboratories. An independent data review committee reviewed comparability of cohorts and endpoint assessments prior to conducting comparative analyses. Results Median follow-up was 14.3 months for the linvoseltamab cohort (data cutoff: Jan 6, 2024) and 13.4 months for the ECA. After weighting, 15 prognostic factors were balanced between cohorts. Patients in the ECA received 68 distinct regimens, most commonly CAR T-cell therapies (11.3%) and ADCs (10.3%). After balancing the cohorts, patients in the ECA evaluable for response had ICRC-assessed ORR of 46.3% (40.8% by treating physician assessment), among whom 24.0% had very good partial response or better (≥VGPR). When including patients who died without evaluable response, ECA ICRC-assessed ORR was 44.2%. Linvoseltamab induced significantly higher ICRC-assessed ORR (69.5% vs 46.3%, odds ratio [OR] 2.65 [95% confidence interval (CI) 1.66-3.69]) and rate of ≥VGPR (62.9% vs 24.0%, OR 5.37 [95% CI 3.61-8.49]) compared with ECA regimens. Conclusion Despite current use of novel therapies, there is no well-established RW standard of care (SOC) for patients with TCE RRMM treated at IMWG sites. To our knowledge, this is the first RW ECA study in MM with a high percentage of anti-BCMA therapies and response ascertainment for all patients by ICRC. Linvoseltamab induced significantly higher response rates, including rate of ≥VGPR, compared with current RW SOC therapies, highlighting its potential as a highly effective treatment in patients with TCE RRMM.

Classic Hodgkin Lymphoma (cHL) is characterized by the presence of abnormal large cells known as Hodgkin Reed-Sternberg (HRS) cells. Curative intent chemotherapy has a 90% response rate, but for refractory patients, current immunotherapies remain insufficient. Ongoing research aims to enhance therapy and patient outcomes by focusing on the tumor microenvironment (TME), a complex environment that includes diverse non-malignant cells, including immune cells, which constitute a critical component of the TME. Utilizing multiplex analysis to comprehend these intricate interactions can pave the way for identifying novel strategies to combat cancer more effectively. CD30-targeted therapies and PD1/PDL1 inhibitors are under investigation clinically and could potentially benefit from adding checkpoint markers such as TIM-3 to enhance patient outcomes by addressing T-cell exhaustion. Such combination strategies will require assays and analysis strategies that can describe both spatial and multi-marker data. Multiplex immunofluorescence (mIF) is a valuable tool for analyzing spatial biology, patient selection, mechanism of action, pharmacodynamics and biomarker assays predictive of response. Describing the relationship between T cell exhaustion and response in cHL may guide the development of targeted treatments aimed at restoring the immune system's ability to recognize and eliminate cancer cells. Twenty-five to thirty percent of cHL patients with advanced stages do not respond to standard therapies. To understand the mechanisms of resistance, we developed a mIF panel (CD4, CD8, CD30, PD-1, PD-L1, and TIM3) for formalin-fixed and paraffin-embedded cHL tissues on the OPAL Tyramide Signal Amplification system and the Leica Bond RX. A set of commercially sourced cHL whole tissue samples (n=5) were used to develop and validate the panel, with qualitative evaluations by a Hematopathologist affirming that the mIF and 3, 3'-diaminobenzidine (DAB) staining yielded comparable results. Subsequently, a cohort of cHL samples (n=34) were stained and underwent exploratory image (Halo) and data (Microsoft Excel and R Studio) analyses. The image analysis strategy includes cell segmentation and phenotyping for all markers in the panel, identifying individual cell populations and multi-marker co-expressing cell populations. Additionally, spatial analysis describes the relationships between key phenotypes in the TME. The quantity of exhausted T cells, their average distance to HRS cells and the average count of exhausted T cells within different proximities of HRS cells will be presented. The development of this mIF assay for cHL demonstrates its consistent application at a mid-scale level across a diverse patient population with varying medical backgrounds and treatment histories. This approach provides a deeper understanding of immune response diversity and cellular composition within cHL. Future deployment of the panel against clinical trial samples with outcomes and responses will yield further insights.