Citations

AbstractINTRODUCTIONThe apolipoprotein E gene (APOE) is an established central player in the pathogenesis of Alzheimer's disease (AD), with distinct apoE isoforms exerting diverse effects. apoE influences not only amyloid‐beta and tau pathologies but also lipid and energy metabolism, neuroinflammation, cerebral vascular health, and sex‐dependent disease manifestations. Furthermore, ancestral background may significantly impact the link between APOE and AD, underscoring the need for more inclusive research.METHODSIn 2023, the Alzheimer's Association convened multidisciplinary researchers at the “AAIC Advancements: APOE” conference to discuss various topics, including apoE isoforms and their roles in AD pathogenesis, progress in apoE‐targeted therapeutic strategies, updates on disease models and interventions that modulate apoE expression and function.RESULTSThis manuscript presents highlights from the conference and provides an overview of opportunities for further research in the field.DISCUSSIONUnderstanding apoE's multifaceted roles in AD pathogenesis will help develop targeted interventions for AD and advance the field of AD precision medicine.Highlights APOE is a central player in the pathogenesis of Alzheimer's disease. APOE exerts a numerous effects throughout the brain on amyloid‐beta, tau, and other pathways. The AAIC Advancements: APOE conference encouraged discussions and collaborations on understanding the role of APOE.

Abstract Background This study examines patients’ understanding of health insurance terms and concepts and quantifies health insurance literacy (HIL) levels by key sociodemographic factors. Methods This study included 393 adult patients with cancer (>18 years old) receiving treatment in two ambulatory infusion centers: Mayo Clinic in Phoenix, Arizona and the University of Mississippi Medical Center in Jackson, Mississippi. Respondents’ perceptions of their HIL were assessed using the Health Insurance Literacy Measure (HILM), a validated 21‐item measure of a consumer's ability to select and use health insurance (HIL self‐efficacy). Respondents’ knowledge of health insurance concepts (HIL knowledge) was measured using 10 items created by the Kaiser Family Foundation. The number of correct answers was categorized into three levels: 0–4 (low knowledge), 5–6 (moderate knowledge), and 7–10 (high knowledge). Multivariable logistic regressions were used to compare correct answers to HIL knowledge questions by HIL self‐efficacy. Results Nearly three‐quarters of patients had high HIL self‐efficacy and high HIL knowledge (70.5%), understanding basic insurance terms, such as premiums and deductibles. Relatively low percentages of patients correctly answered questions about the meaning of provider networks, health insurance formularies, and calculating out‐of‐pocket spending in scenarios when insurers pay a portion of allowed charges. Lower HIL knowledge was more common among patients with less educational attainment (<college: 15.2%; ≥college: 4.7%), lower household income (<$4999: 11.8%; ≥$5000: 6.1%), and low HIL self‐efficacy scores (low: 24.8%; high: 5.2) (all p values <.05). Conclusions Efforts to improve HIL and navigation of health insurance plan features are required, especially for socioeconomically vulnerable patients.

This scientific commentary refers to ‘NMDA receptor autoantibodies primarily impair the extrasynaptic compartment’ by Jamet et al. (https://doi.org/10.1093/brain/awae163).

AbstractObjectivesCluster of differentiation 38 (CD38) is a key target on multiple myeloma (MM) cells. This multi‐centre, Phase 1, single‐agent study (NCT04000282) investigated SAR442085, a novel fragment crystallisable (Fc)‐modified anti‐CD38 monoclonal antibody (mAb), with enhanced affinity towards Fc‐gamma receptor on effector cells in patients with relapsed and/or refractory (RR) MM.MethodsThis study comprised two parts: Part‐A (dose‐escalation involving anti‐CD38 mAb pre‐treated and naïve patients) and Part‐B (dose expansion). Primary endpoints were maximum tolerated dose and recommended Phase 2 dose (RP2D).ResultsThirty‐seven heavily pre‐treated patients were treated in Part A. Part‐B (dose‐expansion) was not studied. Seven dose‐limiting toxicities were reported at DL3, DL5, DL6, and DL7. RP2D was determined to be 5–7·5 mg/kg. Most common treatment‐emergent adverse events were infusion‐related reactions in 70·3% (26/37) patients. Grade ≥3 thrombocytopenia was reported in 48·6% (18/37). Overall response rate was 70% in anti‐CD38 mAb naïve and 4% in anti‐CD38 pre‐treated patients, with a median progression‐free survival of 7·62 (95%CI: 2·858; not calculable) months and 2·79 (95%CI: 1·150; 4·172) months and, respectively.ConclusionsThe efficacy of SAR442085 was promising in anti‐CD38 mAb naïve patients but did not extend to the larger cohort of anti‐CD38 mAb pre‐treated patients. This observation, along with transient high‐grade thrombocytopenia, could potentially limit its clinical use.

e20588 Background: MET exon 14 skipping mutations are seen in about 3% of patients (pts) with NSCLC, with 2 FDA approved METi for pts with stage IV NSCLC harboring it. Besides the original clinical trials, there is a paucity of real-world data about their outcomes, and adverse events (AE). Our aim was to compare and analyze the utilization of capmatinib (cap) and tepotinib (tep) in this population. Methods: We performed a retrospective chart review of the electronic medical records of all pts with stage IV NSCLC treated with METi between the date of FDA-accelerated approval of these drugs, 5/6/20 for cap and 2/3/21 for tep, and 12/1/23. All pts were treated at the Mayo Clinic Health System. We collected data about baseline characteristics, diagnosis, AE, and outcomes. Chi-squared test was used to compare the frequency of AE, while Kaplan-Meier method was used to calculate median progression free survival (mPFS). Results: A total of 49 pts were treated with METi. Cap was used in 45 pts, 14 received tep, and 10 pts received both, with tep following cap. In the cap group, median age of diagnosis was 74 years (y), 42.22% were male, and the median number of previous lines of therapy (mPLT) was 0. In the tep group, median age of diagnosis was 72 y, 21.43% were male, and the mPLT was 2. Median ECOG at the time of diagnosis was 1 in both groups. There was no statistically significant difference between AE in both groups. Peripheral edema occurred in 75.56% pts who received cap, and in 64.29% with tep (p = 0.41). Pneumonitis happened in 4.44% with cap, and 7.14% with tep (p = 0.69). Creatinine elevation was seen in 37.78% with cap, while 42.86% with tep (p = 0.73), grade 3 elevation was seen in 5.88% and 16.67% respectively. Abnormality in liver function tests occurred in 35.56% of pts in the cap group, and 28.57% in the tep group (p = 0.63), grade 3/4 abnormality occurred in 31.25% and 0% respectively. Finally, pancreatic enzymes elevation was seen in 33.33% of patients in each group (p = 0.67), with none being grade 3/4. Cap was discontinued in 20% of pts due to AE, while it happened in 28.57% of pts with tep. Dose reduction happened in 64.44% of pts who received cap, and 42.86% who received tep. The mPFS was 12.03 months (m) in the cap group, and 8.94 m in the tep group, which was not statistically significant (p = 0.18). Similarly, the mPFS in those treated with tep following cap was 8.94 m. Conclusions: We performed the first real-word comparison between cap and tep. The results demonstrated similar outcomes with both drugs, and no significant differences in AE, suggesting these agents can be employed equivalently. Importantly, rates of therapy discontinuation and dose reduction were high with both, indicating the importance of closely monitoring these pts. The retrospective nature and small sample size are initial limitations that can be overcome with future multi-centric prospective studies.

Abstract The scaphotrapeziotrapezoid (STT) joint is involved in load transmission between the wrist and thumb. A quantitative description of baseline STT joint morphometrics is needed to capture the variation of normal anatomy as well as to guide staging of osteoarthritis. Statistical shape modeling (SSM) techniques quantify variations in three‐dimensional shapes and relative positions. The objectives of this study are to describe the morphology of the STT joint using a multi‐domain SSM. We asked: (1) What are the dominant modes of variation that impact bone and articulation morphology at the STT joint, and (2) what are the morphometrics of SSM‐generated STT joints? Thirty adult participants were recruited to a computed tomography study of normal wrist imaging and biomechanics. Segmentations of the carpus were converted to three‐dimensional triangular surface meshes. A multi‐domain, particle‐based entropy system SSM was used to quantify variation in carpal bone shape and position as well as articulation morphology. Articular surface areas and interosseous proximity distributions were calculated between mesh vertex pairs on adjacent bones within distance (2.0 mm) and surface‐normal angular (35°) thresholds. In the SSM, the first five modes of variation captured 76.2% of shape variation and contributed to factors such as bone scale, articular geometries, and carpal tilt. Median interosseous proximities—a proxy for joint space—were 1.39 mm (scaphotrapezium), 1.42 mm (scaphotrapezoid), and 0.61 mm (trapeziotrapezoid). This study quantifies morphological and articular variations at the STT joint, presenting a range of normative anatomy. The range of estimated interosseous proximities may guide interpretation of imaging‐derived STT joint space.

TPS2700 Background: Though immunotherapy with anti-PD-1 immune checkpoint inhibitors (ICIs) has led to improvements in clinical outcomes in patients with cancer, when used as monotherapy in the advanced setting, only 18-25% of patients respond to ICI. Notably, ICI frequently lacks anti-tumor activity in immune-cold cancers where T cell priming is missing. Recent breakthroughs in identifying personal neoantigens via a comprehensive analysis of cancer sequencing data have brought increased attention to neoantigen cancer vaccines. Personalized cancer vaccines targeting neoantigens have shown early promise. While neoantigens have recently been investigated in some cancer types, the current neoantigen prediction algorithms have often focused on the MHC class-I subtype, single nucleotide mutations (SNM), small insertions and deletions (INDEL). We recently developed an informatics workflow, REAL-neo, for the identification, quality control (QC), and prioritization of both class-I and class-II human leukocyte antigen (HLA) bound neoantigens that arise from somatic SNM, INDEL, aberrant RNA splicing, and gene fusions, generating much more potent neoantigen candidates. Furthermore, we demonstrated robust T-cell response and prolonged survival by combining ICI and cancer vaccines in preclinical models. This single-arm phase I clinical trial is in progress to assess the safety, feasibility, and immunogenicity of personalized neoantigen vaccines in combination with pembrolizumab in patients with advanced solid cancers. Methods: The vaccine consists of up to 20 peptides (15-30 mer) comprising patient-specific neoantigens identified from tumor DNA and mRNA sequencing data using REAL-neo and delivered with GM-CSF as an adjuvant. The first cohort of three patients will be treated at dose level 1 consisting of 4 or 5 peptides at 300 mcg/peptide and GM-CSF 125 mcg per injection site in each of four limbs. After Cohort 1 is deemed safe, the study will expand to cohort 2, when patients will be enrolled at the same dose level for vaccine plus Pembrolizumab 200 mg i.v. Neoantigen vaccine will be given via subcutaneous injection on days 1, 4, 8, 15, and 21 (cohorts 1 and 2) and weeks 5 and 8 (booster dose for cohort 2 only). Cohort 1 has been completed without dose-limiting toxicity (DLT). Enrollment in Cohort 2 began in January 2024. AEs are assessed according to CTCAE v5. and safety findings are reviewed by data safety medical board (DSMB). Key eligibility criteria include 1) histologically confirmed locally advanced or metastatic solid malignancies and 2) cancer progression after at least one line of the standard-of-care (SOC) systemic treatment. For cohort 2, patients must be eligible to receive pembrolizumab per SOC or the treating physician’s judgment. Clinical trial information: NCT05269381 .

Genomic mutations impact non-small cell lung cancer (NSCLC) biology. The influence of sex and age on the distribution of these alterations is unclear. We analyzed circulating-tumor DNA from individuals with advanced NSCLC from March 2018 to October 2020. EGFR, KRAS, ALK, ROS1, BRAF, NTRK, ERBB2, RET, MET, PIK3CA, STK11, and TP53 alterations were assessed. We evaluated the differences by sex and age (<70 and ≥70) using Fisher’s exact test. Of the 34,277 samples, 30,790 (89.83%) had a detectable mutation and 19,923 (58.12%) had an alteration of interest. The median age of the ctDNA positive population was 69 (18–102), 16,756 (54.42%) were female, and 28,835 (93.65%) had adenocarcinoma. Females had more alterations in all the assessed EGFR mutations, KRAS G12C, and ERBB2 ex20 ins. Males had higher numbers of MET amp and alterations in STK11 and TP53. Patients <70 years were more likely to have alterations in EGFR exon 19 del/exon 20 ins/T790M, KRAS G12C/D, ALK, ROS1, BRAF V600E, ERBB2 Ex20ins, MET amp, STK11, and TP53. Individuals ≥70 years were more likely to have alterations in EGFR L861Q, MET exon 14 skipping, and PIK3CA. We provided evidence of sex- and age-associated differences in the distribution of genomic alterations in individuals with advanced NSCLC.

Abstract Flexor tendon injury is a common hand trauma that requires surgical repair. The objective was to compare the repaired strength and gliding resistance with a varied number of repair strands and of square knots using a two‐strand‐overhand locking (TSOL) knot. First, isolated suture loops with different number of suture strands and number of closing knots were compared in mechanical strength and failure mode. Then, 90 flexor digitorum profundus (FDP) tendons from turkey digits were used for the tendon repair experiment. Both phases followed a similar 3 × 3 matrix comparing the knot type including TSOL+1SK (square knot), TSOL+2SK, and TSOL+3 SK and repair techniques including two‐, four‐, and six‐strand repairs techniques respectively. The repaired tendons were tested for tendon resistance against pulley (friction), maximum force, force at 2 mm displacement, stiffness, and failure mode. Increasing the number of strands and closing square knots increases the tensile strength and stiffness of flexor tendon repairs and isolated suture loops without a significant effect on tendon friction. An increase in the number of square knots have shown increased strength only in Pennington repair, which correlated with the increased number of knot unraveling, a weak knot failure model. Our data demonstrated that increasing the number of strands is effective for improving the overall strength of tendon repair. When a two‐strand repair is chosen, increasing knot number can improve repair strength. However, the number of knots appears not affecting repair strength in six‐strand repair technique.