Citations

Abstract Background Healthy aging and cognitive decline in Alzheimer's Disease (AD) and its precursor, Mild Cognitive Impairment (MCI), are linked to changes in resting‐state EEG power spectral density (PSD). Theta band (3‐7 Hz) power decreases with normal aging but increases with cognitive decline. However, frequency content does not always indicate true oscillatory activity. Oscillations reflect power concentration at a specific frequency, appearing as peaks in the frequency domain and visible rhythms in the time domain. Rhythmicity analysis quantifies oscillation persistence (percentage of time observed) independently of power. This study examined Theta power and Theta rhythms in healthy controls (HC) versus individuals with MCI/AD. Method Participants included 32 AD, 88 MCI, and 115 and age‐ matched HC, who completed 5‐minutes of resting‐state eyes‐closed EEG at their baseline visit. PSD was computed for one‐second epochs. Relative Theta power was defined as the proportion of total power in the Theta band, averaging across epochs. Theta rhythm duration was defined as the percentage of epochs with Theta oscillations. Baseline differences and longitudinal changes were analyzed for a subset of participants: 28 MCI and 5 AD with at least one follow‐up visit, and 25 HC with at least two follow‐ups. Result At baseline, the MCI/AD group exhibited significantly higher relative Theta power ( p <0.01, df=233, ES=0.35 at T6) and a greater Theta rhythm duration ( p <0.01, df=231, ES=0.41 at T6) compared to HC. Longitudinally, HC exhibited a significant reduction in Theta power by the second follow‐up ( p <0.05, df=24, ES=0.51 at Cz), with no significant changes in Theta rhythms duration. In contrast, MCI/AD showed a significant increase in Theta rhythm duration (and not power) at first follow‐up visit ( p < 0.05, df =32, ES=0.30 at T3). Conclusion Theta power and Theta rhythm duration are both linked to cognitive decline in MCI and AD but differ from healthy aging patterns. While Theta power reflects age‐related changes, Theta rhythms duration may serve as a specific biomarker for disease progression in MCI and AD. These findings support the value of Rhythmicity analysis in EEG‐based biomarkers of cognitive decline.

Prostate-specific antigen (PSA) screening has played a critical role in reducing prostate cancer mortality but remains controversial due to concerns regarding overdiagnosis, overtreatment, and inconsistent screening guidelines. In 2012, the United States Preventive Services Task Force (USPSTF) issued a grade D recommendation against PSA screening, leading to a national decline in PSA testing and prostate biopsy rates. This was followed by an increase in the incidence of metastatic prostate cancer at diagnosis. The USPSTF has since revised its recommendation to grade C, emphasizing shared decision-making for men aged 55 to 69 years. However, variability in screening recommendations across professional societies has resulted in clinical uncertainty, particularly for primary care physicians (PCPs), who frequently initiate PSA testing and urology referrals. This review provides an evidence-based overview of PSA screening tailored for the PCP. We performed a comprehensive literature review using Ovid MEDLINE, PubMed, Embase, and the Cochrane Library, including systematic reviews published between January 2020 and April 2025, and current guidelines from the American Urological Association (AUA), National Comprehensive Cancer Network (NCCN), European Association of Urology (EAU), and American Cancer Society (ACS). We summarize the evolving landscape of PSA screening and its integration with contemporary tools such as shared decision-making, multiparametric magnetic resonance imaging (mpMRI), and transperineally targeted biopsy. We advocate for initiating PSA screening between the ages of 45 and 49 in men with average or elevated risk, based on long-term evidence demonstrating the value of an early baseline PSA level and risk-stratified follow-up. This approach, coupled with improved diagnostic tools, can help PCPs navigate guideline variability and implement a rational, common-sense strategy to maximize early detection while minimizing harm.

Background/Objectives: Modeling analyses for colorectal cancer (CRC) screening focusing solely on the costs of screening do not fully capture the value of screening programs. We evaluated the clinical and economic effects of CRC stool-based screening tests, including impacts on cancer-related outcomes. Methods: A cohort-based decision-analytic cost-estimator model estimated outcomes for a single round of screening with next-generation multi-target stool DNA (ng mt-sDNA) test or fecal immunochemical test (FIT) from a US payer perspective. Undiagnosed cancers were assumed to become symptomatic (and detected) within 10 years. Clinical assumptions, advanced precancerous lesion and CRC prevalence, and test performance inputs were from clinical trial data. Adherence rates for initial screening and follow-up colonoscopy after a positive result were from real-world data. Input costs included the screening tests, follow-up colonoscopy (with and without polypectomy), and CRC treatment. Results: Compared with FIT, more individuals completed ng mt-sDNA (321,000 vs. 713,000, respectively), leading to the detection of more CRC cases (436 with FIT vs. 2235 with ng mt-sDNA), more advanced precancerous lesions, and more CRC at earlier stages. The cost of screening per patient screened was USD 801 for ng mt-sDNA and USD 124 for FIT. Follow-up colonoscopy cost was USD 149 million with ng mt-sDNA versus USD 22 million with FIT, whereas CRC treatment costs were lower for ng mt-sDNA (USD 1423 million versus USD 1474 million, respectively). When accounting for both direct and CRC averted costs, the total cost of screening and treatment was USD 1383 million with ng mt-sDNA versus USD 1427 million with FIT. Conclusions: Higher screening costs with ng mt-sDNA versus FIT are counterbalanced by savings realized from enhanced CRC prevention and earlier detection due to the superior test performance and better adherence with ng mt-sDNA.

Abstract Background Fluoroscopic‐gated proton therapy (FGPT) enables precise dose delivery to tumors affected by respiratory motion by tracking internal fiducial markers and delivering the proton beam when the marker is within a gating window. However, scatter radiation from fluoroscopic x‐rays may be detected by the dose monitor (DM) and mistakenly counted as proton monitor units (MU). To mitigate this issue, proton beam delivery is typically interrupted during the fluoroscopy pulse, a method known as interrupted continuous delivery (ICD). If the contamination from scattered fluoroscopic x‐rays is sufficiently low compared to the proton beam current, uninterrupted continuous delivery (UCD), in which fluoroscopic x‐rays are delivered concurrently with proton beams, may be feasible. UCD can enhance beam stability and improve treatment efficiency in particular for synchrotron‐based proton therapy systems using continuous beams. Purpose This study aimed to measure the contamination of scattered fluoroscopic x‐rays in DM and to evaluate the dose distribution when fluoroscopic x‐rays and proton beams are delivered simultaneously in FGPT. Methods x‐ray contamination was measured using a proton therapy system equipped with the FGPT system. Fluoroscopic x‐rays were delivered for 30 s under both in‐air and solid phantom conditions, with thicknesses of 10 and 30 cm, and DM counts were recorded. The dose rate was evaluated under various fluoroscopic conditions, both with and without the range shifter and mini ridge filter. To assess the dosimetric impact, six virtual treatment plans were created using anthropomorphic phantoms for cases involving the prostate, lung (both superficial and deep), liver (both superficial and deep), and pancreas. Scatter fluoroscopic x‐ray contamination was measured at the beam angles specified in the treatment plans under clinical setup conditions. Dose distributions were recalculated assuming simultaneous delivery with proton beam currents of 0.1, 1, 2, 4, 8, and 40 MU/s, and these were compared to the treatment plans. Results The scattered fluoroscopic x‐ray contamination in the DM increased with higher tube voltage, tube current, frame rate, and field size. The maximum dose rate was 0.247 MU/s with 125 kV tube voltage, 80 mA tube current, 30 s −1 frame rate, 19 × 19 cm 2 field size, and solid phantom of 10 cm. The dose rate of scattered fluoroscopic x‐rays peaked at a solid phantom thickness of approximately 5 cm. In an anthropomorphic phantom, scattered fluoroscopic x‐ray contamination varies based on anatomical site and beam angle. Dose evaluations indicated that if the proton beam current was ≥2 MU/s at the target and ≥1 MU/s at organs at risk, the differences in dose metrics were within 1% compared to the treatment plans. These beam currents are achievable with clinical systems. Conclusions Scattered fluoroscopic x‐rays were confirmed to contaminate the DM and be counted as proton MUs. However, under clinically realistic beam current conditions, their impact on dose distribution in UCD FGPT was negligible. These findings support the feasibility of implementing UCD FGPT.

Abstract BTK degraders promote proteasomal degradation of BTK and can overcome resistance to covalent and noncovalent BTK inhibitors in patients with relapsed CLL. Currently the molecular basis for BTK degrader resistance is unknown. We therefore set out to understand BTK degrader resistance based on observations from the phase 1 trial of zelebrudomide (NX-2127) (NCT04830137), the first BTK degrader to enter clinical studies. Targeted 500-gene sequencing was performed on blood and/or tissue from four CLL patients treated with zelebrudomide. In one patient previously treated with chemoimmunotherapy, ibrutinib, venetoclax, and pirtobrutinib, BTK A428D was detected in the baseline blood sample with variant allele frequency (VAF) of &lt;2%, along with BTK V416L (13%) and mutations in TP53 (60%) and SF3B1 (37%). Following daily treatment with 100mg zelebrudomide and subsequent dose escalation to 200mg, at 6 months the VAF of all four mutations increased, with BTK A428D VAF increasing to 6% in the blood and 29% in a lymph node. BTK A428D was detected at baseline but not at progression in a second patient. To evaluate the impact of BTK A428D on drug response, we transduced BTK-dependent TMD8 cells with BTK WT, C481S, L528W, and A428D, and found that BTK A428D uniquely conferred resistance to all FDA-approved BTK inhibitors (ibrutinib, acalabrutinib, zanubrutinib, pirtobrutinib) as well as three BTK degraders under clinical evaluation (zelebrudomide, bexobrutideg, BGB-16673). To model the subclonal nature of BTK A428D we conducted a competition assay in which TMD8 cells expressing GFP + BTK A428D (5%) were mixed with TMD8 cells expressing mCherry + BTK WT (95%); over 9 days the GFP + BTK A428D expanded from 5% to 88-97% with all four BTKi and all three BTK degraders. In vitro kinase assays revealed that the BTK A428D mutant protein lacks kinase activity yet facilitates calcium flux and ERK/AKT signaling upon B-cell receptor activation, suggesting a scaffolding effect similar to other kinase deficient BTK mutations. To determine whether BTK A428D affects BTK degradation, we developed a reporter that fuses the BTK kinase domain to GFP. BTK A428D showed minimal degradation following 20 hours of treatment with a titration of all three BTK degraders. Similarly, we knocked BTK A428D into the endogenous BTK locus of HBL1 cells and confirmed a lack of degradation at doses up to 1 µM of all 3 degraders. Consistent with these findings, surface plasmon resonance revealed that the FDA-approved BTK inhibitors as well as zelebrudomide, bexobrutideg, BGB-16673, and AbbVie-1 (Compound 1 from WO 2023183811) are unable to bind to BTK A428D. Additionally, an in-cell NanoBRET assay demonstrated that zelebrudomide was unable to mediate the interaction between cereblon and BTK A428D. Strikingly, NanoBRET also demonstrated that a panel of promiscuous kinase-binding compounds was unable to bind to BTK A428D. The lack of binding of both selective and promiscuous kinase binders to BTK A428D led us to speculate that the mutation disrupted the ATP binding pocket to an unusual degree. We therefore solved the crystal structure of apo BTK A428D and found that, in addition to its predicted steric clash with ligand binding in the hinge region, the mutation led the protein to crystallize with its activation loop occupying the catalytic cleft, rendering it inaccessible. This is the first apo BTK structure observed in this autoinhibited conformation, and explains the observed binding profile. We hypothesized that the addition of a second targeted agent such as venetoclax might mitigate expansion of the A428D subclone. To test this, we introduced the BTK A428D mutation into the endogenous BTK gene in 3% of TMD8 cells and then exposed them to 0.1µM of zelebrudomide, bexobrutideg, or BGB-16673 +/- venetoclax 0.1µM. Combining the BTK degraders with venetoclax slowed the emergence of the BTK A428D resistant population and, in the case of zelebrudomide, eradicated both the wild-type and A428D clones. In summary, we identified and validated BTK A428D as a clinically relevant acquired pan-resistance mutation that confers resistance by blocking access to the ATP binding pocket. This mechanism differs from other kinase dead BTK mutations in which the kinase's enzymatic pocket remained accessible.These data also provide rationale for combining BTK degraders with BCL2 inhibitors, particularly in patients with BTK A428D mutations, or high-risk mutations such as in TP53.

Abstract Background: BCMA- and GPRC5D-targeting immunotherapies including CART cell therapy and Bispecific antibodies are currently approved for the treatment of multiple myeloma. However, clinical outcomes after dual antigenic exposure remain undefined. Herein we report the first report of BCMA-GPRC5D dual targeted multiple myeloma (DEMM). Methods: We conducted a retrospective multi-center study of RRMM patients treated with both BCMA- and GPRC5D-targeted treatments (TT) (CAR T, bispecific antibodies, ADCs) between November 1, 2022, and July 1, 2025. Outcomes included PFS1 (post-dual exposure), and overall survival (OS). Kaplan-Meier estimates and event-free probabilities were calculated. Results: One hundred and fifty patients who underwent TCE treatments were included and 49 patients met the criteria for inclusion. Median age was 65 years, 22.4% had creatinine clearance &lt;=30 and ECOG 2 or greater was present in 22.2%; 57% had high-risk cytogenetics (IMWG 2016), and 60.5% were penta-refractory. Patients received a median of 6 prior lines of therapy (LOT) before 1st TCE and 9 prior LOT before DEMM. 65.3% received 1 TCE, 30.6% received 2 TCE and 4.1% received 3 TCE before DEMM. Similarly, 67.3% received 1 BCMA, 24.5% received 2 BCMA TT and 4.1% received 3 BCMA TT before DEMM. Prior TT included- BCMA CART (57.1%), BCMA Bispecific (57.1%), BCMA ADC (18.4%), other TCE (10.2%). The last dual exposure was GPRC5D Bispecific in 91.8%, BCMA Bispecific in 6.1% and BCMA CART in 2%. The median followup post relapse was 3.4 months (range 0.0-16 mos). The median PFS during the last dual exposure TT was 3.98 months (95% CI: 2.96–6.70). 32.7% did not receive any subsequent LOT and died due to progressive disease. 67.3% of patients had progressive MM and received next LOT. Median PFS1 was 1.77 months (95% CI: 1.28–6.21) with 3-, 6-, and 12-month event-free probabilities of 44%%, 19% and 0% respectively. Median OS was 5.7 months (95% CI: 2.53-12.16) for DEMM from the time of refractoriness to dual antigenic targets. Conclusions: Patients dual-exposed to BCMA- and GPRC5D-directed therapies have a poor prognosis, 32.7% had not received further treatment and in those who received treatment the PFS1 was less than 2 months and an OS of 5.7 months from progression. This reflects an area of high unmet need for the patients that are dual-exposed to BCMA- and GPRC5D-directed therapies. Further data on the cohort will be updated at the meeting. Acknowledgements include, the International Myeloma Foundation, IMWG.

Abstract Purpose This study investigates a novel optimization framework that integrates the newly developed MCF MKM relative biological effectiveness (RBE) model into intensity modulated particle therapy (IMPT) planning for carbon ion therapy. Unlike conventional RBE models such as MKM or LEM, the MCF MKM provides detailed microdosimetric information, which improves predictive accuracy of cell survival but elevates both memory and time requirement in the optimization process. Furthermore, to the implicit nature of the MCF MKM, the gradient information, which is essential in inverse planning, is hardly accessible. In response, a randomized gradient‐free optimization method (RGFM) was developed to mitigate the computational challenge and achieve improved RBE dose distributions. Materials and Methods An RBE dose optimization problem was formulated based on the discretized MCF MKM, known as the Abridged Microdosimetry Distribution Model (AMDM). The RGFM was derived to find feasible and high‐quality settings of monitor unit for IMPT plans without the need for explicit gradient calculations. To verify the clinical plausibility of the proposed method, it was tested on two clinical scenarios—prostate and brain cases in comparison with benchmark plans derived solely from physical dose optimization. Computational times and dose‐volume histograms (DVHs) for both physical and RBE doses were evaluated. Results The RGFM algorithm successfully optimized the MCF MKM‐based IMPT plans. Compared to the benchmark, the RBE dose distributions showed improved coverage of the target and reduced hot spots. Such improvements were observed to coincide with trade‐offs in physical dose distributions. The complexity of the MCF MKM extended the computational time, yet high‐quality solutions were attainable in a clinically reasonable timeframe. Multi‐field optimization (MFO) further enhanced target coverage and critical organ sparing over single‐field optimization (SFO). Conclusions This proof‐of‐principle study confirmed the feasibility of using a randomized gradient‐free method to optimize RBE dose based on the MCF MKM in IMPT planning for carbon ion therapy. The approach provides a pathway for clinical adoption of advanced RBE models, potentially leading to more biologically informed and effective carbon ion therapy treatments. Future work involves refining algorithms, incorporating parallel computing, and performing additional case studies to improve computational efficiency and generalizability.

Abstract Description Interactions between ST6GAL1-produced sialic acids and Siglec-2 (CD22) result in immune inactivation. CD22 is a well-characterized regulator of B cell function. We demonstrate that conventional type-2 dendritic cells (cDC2s) and hybrid macrophages express CD22 across the spleen and tumor microenvironment. To understand the function of CD22 on antigen-presenting cells, we generated novel CD22-floxed mice and crossed them with a) Zbtb46-Cre ones (those lacking CD22 on cDC2s and hybrid macrophages) as well as b) CX3CR1-Cre mice (without CD22 on hybrid macrophages nor microglia). From the former cross, we generated subcutaneous flank tumor and colitis-associated colorectal cancer models. CD22 expression on myeloid cells did not impact anti-tumor responses when tumors expressed low CD22 ligand levels. From here, we assess the impact of tumor cell CD22 ligand overexpression on tumor responses. Also, to evaluate CD8 T cell response to CD22, we challenged mice with Theiler’s murine encephalomyelitis virus (TMEV), modeling multiple sclerosis via CD8 T cell hyperactivation. CD22 did not mediate CD8 activation nor infiltration in brains of the latter cross. Thus, CD22 may be functionally redundant across myeloid and B cells. Topic Categories Innate Immune Responses and Host Defense: Cellular Mechanisms (INC)

Abstract Description The lifetime risk for colorectal cancer in the United States is approximately 4%. Individuals with Inflammatory Bowel Disease, including Ulcerative Colitis and Crohn’s Disease, have a substantially increased risk of developing colorectal cancer. The mechanisms for accelerated tumorigenesis due to enhanced inflammation are not fully characterized. Siglecs (sialic acid immunoglobulin lectin-like proteins) are a family of inhibitory receptors that are negative regulators of the immune response. Siglec-E is an inhibitory receptor that is expressed by innate immune cells, including monocytes, macrophages, neutrophils, and dendritic cells. Interestingly, mice deficient in Siglec-E have accelerated the development of tumors and reduced survival in a spontaneous mouse model of colorectal cancer (TS4-cre LSL-KRasG12D APClox468/wt). Siglec-E knockout mice also have accelerated gut inflammation using the DSS colitis model as compared to WT mice. Using the DSS/AOM model of colitis-associated colorectal cancer, we found that Siglec-E KO mice develop more tumors as compared to wild-type controls. Thus, Siglec-E is an important regulator of gut homeostasis, and the loss of Siglec-E accelerates colon cancer in two murine models. Funding Sources Mayo Clinic Center for Biomedical Discovery NIH R01 CA243545-01A1 to VSS T32 AI170478 Mayo Clinic Graduate School of Biomedical Sciences Deans fellowship: Initiative for maximizing student development (IMSD) R25 GM055252-26 Doyon Foundation Topic Categories Mucosal and Regional Immunology (MUC)