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Abstract INTRODUCTION Early‐onset Alzheimer's disease (EOAD) manifests prior to the age of 65, and affects 4%–8% of patients with Alzheimer's disease (AD). The current analyses sought to examine longitudinal cognitive trajectories of participants with early‐onset dementia. METHODS Data from 307 cognitively normal (CN) volunteer participants and those with amyloid‐positive EOAD or amyloid‐negative cognitive impairment (EOnonAD) were compared. Cognitive trajectories across a comprehensive cognitive battery spanning 42 months were examined using mixed‐effects modeling. RESULTS The EOAD group displayed worse cognition at baseline relative to EOnonAD and CN groups, and more aggressive declines in cognition over time. The largest effects were observed on measures of executive functioning domains, while memory declines were blunted in EOAD. DISCUSSION EOAD declined 2–4× faster than EOnonAD, and EOAD pathology is not restricted to memory networks. Early identification of deficits is critical to ensure that individuals with sporadic EOAD can be considered for treatment using disease‐modifying medications. Highlights Represents the most comprehensive longitudinal characterization of sporadic EOAD to date. The trajectory of cognitive declines was steep for EOAD participants and worse than for other groups. Executive functioning measures exhibited the greatest declines over time in EOAD.

Abstract INTRODUCTION Early‐onset Alzheimer's disease (EOAD) and late‐onset Alzheimer's disease (LOAD) share similar amyloid etiology, but evidence from smaller‐scale studies suggests that they manifest differently clinically. Current analyses sought to contrast the cognitive profiles of EOAD and LOAD. METHODS Z‐ score cognitive‐domain composites for 311 amyloid‐positive sporadic EOAD and 314 amyloid‐positive LOAD participants were calculated from baseline data from age‐appropriate control cohorts. Z‐ score composites were compared between AD groups for each domain. RESULTS After controlling for cognitive status, EOAD displayed worse visuospatial, executive functioning, and processing speed/attention skills relative to LOAD, and LOAD displayed worse language, episodic immediate memory, and episodic delayed memory. DISCUSSION Sporadic EOAD possesses distinct cognitive profiles relative to LOAD. Clinicians should be alert for non‐amnestic impairments in younger patients to ensure proper identification and intervention using disease‐modifying treatments. Highlights Both early‐onset Alzheimer's disease (EOAD) and late‐onset Alzheimer's disease (LOAD) participants displayed widespread cognitive impairments relative to their same‐aged peers. Cognitive impairments were more severe for EOAD than for LOAD participants in visuospatial and executive domains. Memory and language impairments were more severe for LOAD than for EOAD participants Results were comparable after removing clinical phenotypes of posterior cortical atrophy (PCA), primary progressive aphasia (lv‐PPA), and frontal‐variant AD.

Background/Objectives: The enzyme ubiquitin-specific protease 44 (USP44) is a deubiquitinating enzyme with identified physiological roles as a tumor suppressor and an oncogene. While some binding partners and substrates are known for USP44, the identification of other interactions may improve our understanding of its role in cancer. We therefore performed a proximity biotinylation study that identified products of several known cancer genes that are associated with USP44, including a novel interaction between BRCA2 and USP44. Methods: We expressed a fusion protein that linked USP44 and mutant Escherichia coli biotin ligase BioID in SH-SY5Y neuroblastoma cells. Control experiments were performed using BioID alone. In duplicate experiments, cells were pulsed with biotin and biotinylated proteins were isolated under denaturing conditions and the proteins were identified by mass spectrometry. The resulting list of proteins were analyzed using Enrichr and cross-referenced with the COSMIC Cancer Gene Census. We validated the association with BRCA2 using immunoprecipitation. The role of USP44 in the Fanconi anemia DNA repair pathway was investigated using chromosome analysis of wild-type or Usp44-knockout cells after exposure to mitomycin C. Results: We identified 146 proteins that were selectively retrieved by the USP44 construct and compared with cells expressing the BioID ligase alone, including 15 gene products encoded by genes on tier 1 of the COSMIC Cancer Gene Census, including BRCA2. The association between USP44 and BRCA2 was validated through immunoprecipitation. We tested the functional role of USP44 in the Fanconi anemia DNA repair pathway through chromosome breakage analysis and found that cells lacking USP44 had a significant increase in chromosome breaks and radial chromosomes. We found that high BRCA2 transcript was correlated with poor survival in neuroblastoma, likely due to its tight association with proliferation in these tumors. Conclusions: Our results identified novel potential binding partners and potential substrates for USP44, including several with direct roles in cancer pathogenesis. Our results identified a novel association between BRCA2 and USP44, and a previously unknown role for USP44 in the Fanconi anemia DNA repair pathway that may contribute to its role in cancer.

INTRODUCTION Primary plasma cell leukemia (pPCL) is a rare and aggressive form of multiple myeloma (MM) with poor survival outcomes. Fluorescence in situ hybridization (FISH) evaluation is essential for the initial risk stratification in MM, and the presence of multiple high-risk (HR) cytogenetic abnormalities by FISH portends a worse prognosis in MM. We have previously observed that the presence of HR cytogenetic abnormalities by FISH at diagnosis is known to confer a poor overall survival (OS) in patients with pPCL. However, less is known about the cumulative effect of multiple HR cytogenetics abnormalities compared to a single HR cytogenetic abnormality on the OS outcomes of patients with pPCL. AIM To evaluate the prognostic implications of additive HR cytogenetics abnormalities by FISH in patients with pPCL treated with novel agents. METHODS We evaluated patients with newly diagnosed pPCL at the Mayo Clinic Comprehensive Cancer Center from 2014 - 2023 that received induction with novel agent combinations. pPCL was defined as patients meeting the diagnostic criteria for MM with 5% or more circulating plasma cells (cPCs) present on morphologic evaluation of their peripheral blood smear. HR cytogenetics abnormalities by FISH was defined by the presence of any one of the following: 1q gain/amplification, t(4;14), t(14;16), t(14;20), and del(17p). Time to next treatment (TTNT) and OS analysis were performed using the Kaplan-Meier method, and differences were assessed using the log-rank test. Statistical analyses were performed using the SAS biostatistical software JMP 17.0.1 (SAS Institute Inc). RESULTS We included 89 patients with newly diagnosed pPCL who received novel agents as first-line therapy between 2014 to 2023. The median follow-up was 45 months (95% CI: 35 - 65). At diagnosis, the median bone marrow plasma cell content was 80% (Range: 10 - 100), and the median cPC% on the peripheral smear was 21% (range: 5 - 85). There were 51 patients (59%) who had 20% or more cPCs on their peripheral smear. There was a preponderance of pPCL patients who had t(11; 14) as their primary cytogenetic abnormality (43%). The median lines of therapy received were 2 (Range: 1 - 9). There were 12 (13%) patients who received intensive induction therapy containing continuous infusional chemotherapy regimens at the onset of their diagnosis. Of the remaining patients, 35 (45%) were treated with a quadruplet (anti-CD38 antibody, proteasome inhibitor and immunomodulator), 24 (31%) with a triplet (proteasome inhibitor and immunomodulator) and 18 (23%) with a doublet (proteasome inhibitor only). The median OS for all pPCL patients in this cohort was 47 months (95% CI: 37 - 100). However, when stratified by cytogenetic risk, the median OS was 101 months (95% CI: 57 - NR) for those patients without any HR cytogenetic abnormalities (N = 24, 27%) vs. 37 months (95% CI: 22 - 63) for those with one or more HR cytogenetic abnormalities (N = 65, 73%) (P = 0.006). Of the patients with any HR cytogenetic abnormalities, 33 (36%) had one HR cytogenetic abnormalities and 32 (34%) had two or more HR cytogenetic abnormalities. The median OS for patients with one compared to two or more HR cytogenetic abnormalities were 47 (95% CI: 38 - 111), and 22 (95% CI: 17 - 37) months, respectively (P = 0.031). The median TTNT was 22 months (95% CI: 16 - 58) for those patients without any HR cytogenetic abnormalities vs. 16 months (95% CI: 9 - 21) for those with one or more HR cytogenetic abnormalities (P = 0.09). The median TTNT from the time of diagnosis for pPCL patients with one compared to two or more HR cytogenetic abnormalities were 18 (95% CI: 6 - 41) and 16 (95% CI: 10 - 19) months, respectively (p = 0.247). CONCLUSION Patients with pPCL with more than one HR cytogenetic abnormality had an inferior OS compared to those with only one HR cytogenetic abnormality, implicating the additive adverse effects of multiple HR cytogenetics abnormalities. In contrast, patients with pPCL without any HR cytogenetic abnormalities had a relatively long median OS (over 100 months).

Introduction: Uniform assessment of response to treatment is crucial to managing myeloma and developing new therapies. Measurement of the monoclonal protein (s) secreted by the myeloma cells forms the cornerstone of disease assessment in MM and has primarily been performed by electrophoretic methods in the serum and urine, as well as assessment of free light chains in the serum. According to international myeloma working group (IMWG) guidelines, serial serum-free light chain (sFLC) is included in MM response assessment to define stringent complete response and for evaluating partial response (PR) or progressive disease (PD) in non/oligo-secretory MM. This study aims to determine the added value of serial sFLC measurements in monitoring response and progression in MM with measurable disease by comparing the kinetics of FLC with M spike measured by electrophoresis in serum or urine. Methods: This retrospective observational study included newly diagnosed MM patients evaluated at Mayo Clinic in Rochester between 2011-2021. All patients had measurable sFLC (involved FLC level ≥ 10mg/dL, with abnormal sFLC ratio) along with measurable M-protein by serum or urine protein electrophoresis at diagnosis. Serial measurements of sFLC and M-protein by electrophoresis (sPEP/uPEP) were prospectively collected from the electronic medical records at different time points. FLC-response and FLC-PD were evaluated based on IMWG criteria. Results: The study cohort included 839 patients, 52% with measurable M protein by electrophoresis in serum, 27% in both serum and urine, and 21% in urine-only. A significant association was observed between sFLC and electrophoretic response during the induction and at the time of best response (p <.001). Serum FLC showed a comparable response rate of 98% (≥ PR) at the time of best electrophoretic response (p <.001). Ninety-nine percent of early FLC responders eventually achieved an overall response by sPEP/uPEP (p <.001). In the urine-only group, 99% achieved at least a PR by uPEP, and all showed at least a PR based on sFLC. We observed comparable median percentage changes in serial dFLC and urine M-protein, with parallel trends (p <0.001). The correlation coefficients between the change of sFLC and urine M-protein showed a moderate/strong correlation with coefficients (r) of 0.791, 0.597, 0598, 0.545, after cycles 1, 2, 3, 4, respectively, (p < .001). The response for all cohorts was detected earlier by dFLC (median time 1.1 months, 95% CI: 1.06-1.17), in comparison with serum M-protein (1.5 months, 95% CI: 1.40-1.62) and urine M-protein (2.8 months, 95% CI: 2.42-3.10) with p < .001. In the urine-only group, earlier detection of response by dFLC (1.1 months, 95% CI: 1.00-1.2) was observed, compared to urine M-protein (2.4 months, 95% CI: 2.00-2.7) (p <.001). After a median follow-up of 52 (IQR 27.6, 72.3) months, 56% had PD: 62% by s-FLC, 56% by serum M-protein, and 24% by urine M-protein. Among patients with PD by uPEP, all except one patient met sFLC-PD. Within patients with PD, sFLC was the only detectable tumor marker in 12% of cases at the time of the second line of treatment. After four cycles of induction, there was no difference in PFS between VGPR response determined by sFLC, sPEP, and uPEP (p =0.538). The median second-PFS for patients with onlysFLC-PD was similar to those with urine M-protein PD with or without sFLC-PD (HR 1.28, 95% CI =0.77-2.13. p 0.334). However, the median overall survival (OS) from the first relapse was significantly better for patients with onlysFLC-PD than those with urine M-protein PD (HR 1.87, 95% CI =1.07-3.27. p 0.026). Conclusions: In this study, achieving sFLC-VGPR has a similar impact on PFS as electrophoretic-VGPR after induction, indicating that serial sFLC can potentially replace the requirement for urine M-protein response (< 100mg in 24-hours urine) as part of the electrophoretic-VGPR criteria, as required by IMWG. A similar response rate between sFLC and urine paraprotein confirms the current cutoffs (90% for urine and 50% for dFLC for VGPR) used for response categories for s-FLC. We also observed that in 12% of patients with PD, sFLC was the only marker of progression, highlighting the value of serial s-FLC in monitoring relapse. In conclusion, our study supports the integration of serial sFLC measurements for monitoring response and progression in MM, even with electrophoretic measurable disease.

INTRODUCTION While prognostic understanding (PU) is important for all patients (pts) considering hematopoietic stem cell transplantation (HCT), it may be particularly important for older (>65 years), medically infirm, and/or frail pts deciding whether to undergo allogeneic HCT (allo-HCT). This abstract reports on PU and concordance with transplant physician (hereafter MD) PU for pts participating in an ongoing seamless, phase II-III randomized clinical trial (ACE-BMT) comparing 4-arms: a pt-administered comorbidity management intervention (CM), specialist-administered palliative care (PC), a combined arm of CM and PC to standard of care. Here we report preliminary data on the concordance between pt and MD PU on the chance of cure 1-year (yr) post allo-HCT. METHODS Pt PU was compared to MD PU (gold standard) to determine concordance. MD and pt answers were compared on a single validated question asked at enrollment to the study (typically 2 weeks prior to HCT). Both pts and MD's estimated the chance of cure 1 yr after allo-HCT by selecting one of six possible response options: very good (more than 90%), good (75-90%), better than 50% (50-74%), worse than 50% (25-49%), bad (10-24%) or very bad (less than 10%). PU was “concordant” or “accurate” if MD and pt selected the same response option. Pts with discordant PU were labeled “pessimistic” if the pt selected a response option with a lower chance of cure than the MD (and “optimistic” if a higher chance). Response options were further simplified to greater than or less than 50% chance of cure and MD and pt PU were compared again. Descriptive statistics, chi-square for categorical and t-tests for continuous variables were used. Logistic regression was used to determine the association between pt prognostic concordance and pt socio-demographic and clinical characteristics. RESULTS All pts consented to date were included (n=358), except those who did not answer the prognosis question (n=61). 54.2% (n=194) had HCT-Comorbidity Index (HCT-CI) of ≥3, 67.9% (n=243) were older than 65 yrs and 4.5% (n=16) were frail, defined by walk speed <0.8 m/s. Median age was 68 yrs (range 20-80). 39.7% (n=141) were female. 89.9% (n=322) identified as White, 4.2% (n=15) Asian, and 1% each as Black/African American and Native Hawaiian/Other Pacific Islander. 5.3% (n=19) identified Hispanic. 11.5% (n=44) had high school education or less. 54.1% (n=183) made less than $100,000/yr. 40.1% (n=136) had acute myelogenous leukemia, 25.4% (n=86) had high-risk myelodysplastic syndrome and 10.6% (n=36) had a myeloproliferative cancer. 72.1% (n=245) had matched, 82.5% (n=283) unrelated and 95.0% (n=36) peripheral blood allo-HCT. 9% (n=31) had KPS of 100%, 35% (n=121) KPS 90%, and 47.5% (n=147) KPS 80%. Pts reported having a very good, good, better than 50%, worse than 50% and bad/very bad chance of cure 1 yr post allo-HCTL 34.4% (n=123), 30.7% (n=110), 26.0% (n=93), 7.3% (n=26) and 1.7% (n=6), respectively. 91.1% (n=326) of pts felt they had a >50% chance of being cured 1 yr post allo-HCT. MD answers were missing for 159/358 (44.4%) pts. MDs reported pt had a very good, good, better than 50%, worse than 50% and bad/very bad chance of being cured 1 yr post allo-HCT, 3.0% (n=6), 6.5% (n=13), 52.8% (n=105), 35.7% (n=71) and 2% (n=4) respectively. 62.3% (n=124) of MDs felt the pt had a >50% chance of being cured 1 yr post allo-HCT. For the subset of pts with MD prognostic data (n=199), pt's PU was concordant 20.6% (n=41) of the time when compared across all 6 response options. Overall, 71.9% (n=143) of pts erred toward optimism, while 7.5% (n=15) of pts were pessimistic. 60.8% of MD and pts agreed on prognosis when dichotomized to better or worse than 50% chance of being cured 1 yr post allo-HCT. Prognostic concordance was not significantly associated with any pt socio-demographic factors, HCT-CI or KPS via descriptive statistics or regression analysis. CONCLUSIONS In this prospective randomized trial focusing on a population of older, medically infirm, and/or frail pts receiving allo-HCT, pts' PU was not concordant with MD prognosis approximately 80% of the time. While some pts were pessimistic, the majority overestimated the likelihood they would be cured of disease compared to MD estimates. Future studies should investigate the true accuracy of both MD and pt prognosis, as well as how to improve communication about prognosis and pt PU (if inaccurate based on best available information) prior to HCT.

Background Multiple myeloma (MM) is a hematological cancer characterized by the proliferation of plasma cells (PC). Progressive disease (PD) criteria are primarily characterized by an increase in (1) serum M-protein (SPEP), (2) urinary M-protein (UPEP), (3) serum free light chains (sFLC), or (4) PC percentage in the bone marrow. An essential aspect of the PD criteria is the requirement for confirmatory results from blood or urine analyses. However, in many cases, patients may be taken off treatment in favor of a new therapy after only one assessment. This can introduce clinical trial endpoint inaccuracies when confirmatory values are missing, resulting in increased censoring and underestimation of the progression rate (if the second assessment is not done). Moreover, in subjects with high tumor burden and rapidly progressing disease, it is often urgent to confirm PD before starting a subsequent line of treatment. This study assessed the necessity of repeating biomarkers to confirm PD if two biomarkers meet the progression criteria. Methods In this retrospective study, between 2002 and 2020, we assessed all consecutive patients with relapsed MM enrolled in any therapeutic clinical trial at Mayo Clinic. We included patients with measurable disease if SPEP and sFLC were available at the time of assessment. Patients required at least two consecutive assessments (by the same method) to be included in our study. PD was based on the IMWG criteria. Relapse characterized by the development of new bone lesions or extramedullary relapse without meeting biochemical progression criteria was an exclusion criterion. Patients starting a new line of treatment after non-confirmed PD were also excluded. Furthermore, patients who did not meet simultaneous progression criteria and had unconfirmed PD (did not meet IMWG criteria at the second assessment) were excluded from the analysis (n=15). The probability of meeting the progression threshold with 1 and 2 consecutive assessments was calculated. We then examined the proportions of patients meeting PD by 2 biomarkers simultaneously at the first assessment. Results We evaluated episodes of treatment among 434 patients enrolled in clinical trials, including 601 episodes: 593 episodes of biochemical confirmed PD and 8 episodes when patients did not progress but who met simultaneous progression criteria at the same time with two different biomarkers. Per measurable disease criteria, MM isotypes were 71.0% IgG, 16.8% IgA, 0.9% IgM, 1.2% IgD, 0.3% biclonal, and 9.8% light chain. According to the standard IMWG response criteria (sequential criteria), 78% and 9% of episodes reached the progression threshold with serum and urine M-components, respectively, with two consecutive assessments. For the FLC, 21% of episodes met the progression criteria. No patients had a second bone marrow examination for confirmation of PD. At the first available assessment, 82%, 19%, and 2% of episodes met progression threshold, respectively, with serum M-protein, urine M-protein, and both (serum + urine M-protein). Additionally, 58%, and 19%, episodes met the progression threshold at the first assessment with FLC and bone marrow examination, respectively. Moreover, 67% of patients with IgA myeloma meet the progression threshold with the total quantitative IgA. With the simultaneous criteria at time of first assessment, 403 episodes meet progression threshold: 45% with SPEP+sFLC (n=269/593), 4% with SPEP+UPEP (n=21/593), 9% with sFLC+UPEP (n=55/593), 11% with BME only (n=66/593), and 0.3% with qIgA +dFLC/UPEP (n=2/593). Thus, among these 413 episodes, which meet progression criteria by 2 simultaneous values at the time of the first assessment, 98% (n=413/(413+8)) of these patients (positive predictive value of the new criteria) subsequently had confirmed progression by sequential value. Conclusions In summary, we showed that the simultaneous criteria allow to identify patients with true progressive disease without overestimating the progression rate of myeloma. Therefore, confirmatory results of progression for relapsed MM patients having two biomarkers meeting criteria of progression at the same time is useless for determining disease progression.

Background: A deeper understanding of the cytogenetic features has enabled robust risk stratification for patients with newly diagnosed multiple myeloma (NDMM). However, heterogeneity persists in the currently available prognostic tools and there is further room for personalization. We assess the utility of PC-PRO, a test to measure the proportion of monotypic plasma cells in the synthetic phase (S-phase) of cell cycle, as a prognostic marker for NDMM. Methods: Patients with active MM diagnosed between January 2013 and January 2023 with a flow cytometry-based S-phase assessment at diagnosis were included. Flow cytometric immunophenotyping was performed using the following antibodies: CD19, CD38, CD45, CD138, cytoplasmic kappa and lambda immunoglobulin, and DAPI (4',6-diamidino-2-phenylindole). The percentage of plasma cells in S-phase was determined by measuring the proportion of cells with DNA content of the monotypic plasma cells between the G0/G1 and G2/M peaks. Plasma cell clonality was detected through demonstrating CD38 and CD138 positivity along with immunoglobulin light chain restriction, abnormality of CD19/ CD45 expression and/or ploidy difference by DAPI staining. High-risk cytogenetic abnormalities (HRCA) by FISH were defined as follows: presence of deletion 17p (del17p), t(4;14), t(14;16), t(14;20), 1q gain/amplification, 1p deletion (when available). Additionally, the second iteration of the revised ISS (R2-ISS), incorporating both laboratory and cytogenetic features as well an adaptation of the recently proposed International Myeloma Working Group (IMWG) Classification for high-risk disease, was utilized for risk stratification. All time-to-event analyses were performed using the Kaplan Meier method and compared using the log-rank test. Univariable and multivariable Cox proportional hazards analyses were performed to assess the independent prognostic impact of S-phase. Results: A total of 823 patients were included in the study. The median follow-up was 6 years [95% Confidence interval (CI): 5.5-6.3 years] and estimated median overall survival (OS) was 8.3 years. The median S-phase value for the cohort was 0.8 % (interquartile range: 0.5-1.4%), with 135 (16%) patients harboring an S-phase of ≥2% at diagnosis. Applying the R2-ISS prognostic model to our cohort, 11% (79/706) patients were stratified to the R2-ISS high-risk cohort; 93 patients (out of 788, 12%) had 2 or more HRCA at diagnosis. Patients with a S-phase ≥2% at diagnosis had a median OS of 3.9 years (95% CI: 2.9-5.7) vs. 9.2 years [95% CI: 7.9-not reached (NR)] for patients with a S-phase <2% [Hazard ratio (HR): 2.2 (95% CI: 1.7-2.8), p<0.0001]. The median OS was inferior for cohorts with an increasing S-phase value: S-phase of 0.1-1%: HR: 1 (standard), S-phase 1.1-3%: HR 1.7 (95% CI: 1.3-2.1), S-phase >3%: HR 3.0 (95% CI: 2.2-4.1)]. On a multivariable analysis including S-phase ≥2%, age at diagnosis of MM (>65 years) and R2-ISS high-risk status, S-phase ≥2% was an independent predictor of inferior OS [hazard ratio (HR) 1.9 (95% CI: 1.4-2.6), p<0.0001]. Age >65 years [HR 1.9 (95% CI: 1.5-2.5), p<0.0001] and R2-ISS high-risk status [HR 1.8 (1.3-2.6), p=0.001] were also independent predictors of OS. Within the sub cohort of patients with 2 or more of the listed high-risk cytogenetic features (n=93, 12%), a S-phase ≥2% (n=24) was associated with a worse median OS of 1.6 years (95% CI: 0.7-NR) vs. 6.2 years (95 % CI:3.3-NR) for S-phase <2% (p=0.002). Conclusion: Flow cytometry-based determination of the proportion of monotypic plasma cells in S-phase is an easy-to-study and powerful prognostic tool for NDMM. A S-phase of ≥2% at diagnosis is a predictor of OS independent of age and R2-ISS high-risk stage. An S-phase of ≥2% was able to identify a distinct group with markedly inferior outcomes even within the sub cohort of patients with 2 or more high-risk cytogenetic features.

Introduction MYD88 L265P mutations (MUT) are found in 90% of patients with Waldenstrom macroglobulinemia (WM) and lead to the activation of pro-survival signaling. Limited literature has demonstrated that patients with MYD88 wild-type (WT) WM have poorer responses to conventional therapies and a higher likelihood of histological transformation. Increasingly the role of non-coding genomics in lymphomagenesis has demonstrated importance and currently, the epigenetic landscape of MYD88 WT WM remains underexplored. This study utilized a multi-omics approach to assess DNA methylation in MYD88 WT WM compared to MYD88 MUT patients and controls. Methods Bone marrow samples were prospectively collected from 20 subjects [3 MYD88 WT/CXCR4 WT WM, 12 MYD88 MUT WM and 5 normal controls] and positive selection for CD19+ and/or CD138+ B cells was performed. The analysis focused on the comparison between MYD88 WT WM to normal controls and MYD88-WT to MUT WM. Genome-wide DNA methylation analysis was performed, and CpG methylation ratios were segmented into 200-bp regions. Differentially methylated regions (DMRs) were determined using a Q-value <0.05 and absolute methylation difference ≥10%. Next, RNA-seq data was interrogated and differentially expressed genes (log2fold change>0.5 or <-0.5, false discovery rate<0.05) with corresponding promoter hypo- or hypermethylation were assessed. Ingenuity Pathway Analysis was used to determine potentially epigenetically regulated pathways using a corrected p<0.05. Results Comparing MYD88 WT WM samples to controls, a statistically greater number of hypermethylated DMRs were observed across genomic regions (hyper- vs hypomethylated): promoter (29129 vs 6300), 3'untranslated region (UTR) (2068 vs 1551), 5'UTR (10169 vs 735), intron (30344 vs 24511), exon (2224 vs 6855), CpG island (30372 vs 1240) and CpG shore (14477 vs 5872) (all p<0.001). Next, mRNA analysis demonstrated that 214 genes were differentially up-/downregulated with concordant promoter hypo-/hypermethylation. On the assessment of promoter-methylation-based pathways, multiple pathways involved in cell signaling, proliferation, gene regulation, cytokine and immune signaling and metabolism were found to be deregulated. Most pathways were found to be negatively enriched in MYD88 WT patients compared to controls including several members of interleukin (IL) signaling (IL-2, IL-3, IL,7) and regulators of cell proliferation and signaling including mTOR, PI3K/AKT, and p53. Positive enrichment of the PTEN, FGFR3 and ERK/MAPK pathways were observed. Underlying multiple pathways was promoter hypermethylation with corresponding mRNA downregulation of AKT3 and PIK3CA. Furthermore, promoter hypomethylation with transcript upregulation of PTEN was observed. Next, in comparison of MYD88 WT to MUT samples, a statistically greater number of hypermethylated DMRs were observed across genomic regions (hyper- vs hypomethylated): promoter (24829 vs 2544), 3'UTR (3534 vs 378), 5'UTR (6111 vs 605), intron (52292 vs 5360), exon (21066 vs 2187), CpG island (18334 vs 1551) and CpG shore (16351 vs 1957) (all p<0.001). Assessing mRNA expression, 354 genes were up-/downregulated with concordant promoter hypo-/hypermethylation. Pathway analysis revealed positive enrichment of the mitotic G1 phase to G1/S transition pathway with upregulation of the CDK4, LYN, and PSMA6 transcripts in MYD88 WT compared to MUT samples. Further, negative enrichment of cell signaling regulators including the RHO GTPase family, IL pathways (IL-4, IL-8, IL-13, IL-17) and integrin signaling were found in MYD88 WT compared to MUT samples. Underlying multiple pathways were downregulation with promoter hypermethylation of BCL2, an important regulator of apoptosis. Conclusion Genome-wide methylation analysis of MYD88 WT WM revealed a unique DNA methylation profile, with potential epigenetic alteration of key oncogenic transcripts and pathways. The negative enrichment of cell signaling and cytokine/inflammatory pathways in MYD88 WT samples compared to controls and MYD88 MUT WM suggests an epigenetic mechanism for immune evasion and potentially underlies the reduced response to conventional WM-directed therapies. Overall, this study reveals that MYD88 WT WM is epigenetically distinct from MYD88 MUT WM and regulators such as methylation may underlie the unique clinical and phenotypic properties observed.

OBJECTIVE Preclinical studies suggest that robotic carotid artery stenting (CAS) could be superior to manual CAS. However, very limited comparative data exist for patients who have undergone robotic versus manual CAS. In addition, no data exist comparing the costs of manual and robotic CAS. METHODS All robotic CAS cases at two academic neurosurgery centers were retrospectively reviewed and 1:1 propensity matched with manual CAS cases. Personnel costs, supply costs, and total procedure costs were collected in collaboration with hospital administration by using time-driven activity-based cost analysis. RESULTS A total of 24 robotic CAS operations were performed between 2019 and 2023. Comorbidities and baseline procedural characteristics were well matched between robotic and manual cases. Unplanned manual conversion was observed in only 1 robotic case (4.2%). Robotic CAS complications and outcomes were comparable to manual. Robotic CAS was associated with a significantly increased fluoroscopy time (29.0 vs 19.2 minutes; p < 0.001). Robotic procedure time (88.9 ± 18.2 minutes) was significantly (p = 0.003) longer than manual time (68.72 ± 22.4 minutes). Health personnel costs ($1589.71 ± $176.92 vs $1375.99 ± $233.39, p = 0.005); supply costs ($3918.25 ± $421.20 vs $2152.74 ± $1030.26, p < 0.001); and total procedure costs ($5306.11 ± $608.95 vs $3437.56 ± $1165.67, p < 0.001) were greater for robotic CAS. CONCLUSIONS In the first multicenter study and largest sample to date, the authors show that robotic CAS, with a low rate of procedural failure and postoperative complications, is safe and feasible. In addition, robotic CAS achieves comparable clinical outcomes to manual CAS. Robotic CAS was associated with increased fluoroscopy time, but fluoroscopy time decreased as operators gained familiarity with the CorPath GRX system. Robotic CAS was associated with a greater procedural cost, which was driven by greater personnel and supply costs. Robotic CAS failed to show superiority to manual CAS. These findings set a foundation for randomized controlled trials of robotic CAS, and also highlight the need for further studies to optimize robotic CAS and reduce its associated costs.