Citations

Abstract Background Risankizumab (RZB), a high-affinity humanised IgG1 monoclonal antibody targeting interleukin-23 p19, has shown sustained efficacy and an acceptable safety profile for patients (pts) with ulcerative colitis (UC).1 This interim analysis reports efficacy data at week (wk) 0 and wk 96, as well as safety data of the COMMAND (NCT03398135) open-label extension (OLE). Methods The COMMAND OLE enrolled pts who completed 52-wks maintenance dosing in the COMMAND substudies or entered directly from the induction study.1 All pts received RZB180 subcutaneous (SC) starting at OLE wk 0, except pts who had prior rescue therapy (single RZB 1200 mg intravenous [IV] dose then RZB360 Q8w) who continued RZB360 in the OLE. The OLE was not designed to compare RZB180 and RZB360 groups. The data cut-off date for this interim analysis was as of June 30, 2024. Efficacy endpoints assessed were clinical remission (CR) per AMS, clinical response per AMS, endoscopic improvement, endoscopic remission, and corticosteroid-free CR per Partial AMS up to wk 96. Data are reported as observed prior to RZB rescue therapy during OLE. The safety analysis also includes pts who directly entered the OLE from induction; presented as events/100 pt years (E/100 PY). Results Of the pts who entered the OLE (RZB180, N = 701; RZB360, N = 302), approximately 40% of pts had the opportunity to reach OLE wk 96 as of the cut-off date. At OLE wk 0 and 96, a similar proportion of patients in the RZB180 group achieved clinical and endoscopic outcomes (Figure 1A). In the RZB360 group, the percent of pts achieving clinical and endoscopic endpoints increased from OLE wk 0 through OLE wk 96 (Figure 1B). Similar rates of serious AEs, severe AEs, and AEs leading to discontinuation of study drug were reported in the RZB180 group and the RZB360 group with no new safety risks identified (Table 1). Conclusion In this interim analysis of the OLE, a sustained benefit was observed with long-term RZB treatment up to 96 wks. The long-term safety profile for RZB remains consistent and supports the long-term use. References 1. Louis E et al. JAMA 2024;332(11):881-897

Abstract Recent clinical trials on slowing dementia progression have led to renewed focus on finding safer, more effective treatments. One approach to identify plausible candidates is to assess whether existing medications for other conditions may affect dementia risk. We conducted a systematic review to identify studies adopting a data‐driven approach to investigate the association between a wide range of prescribed medications and dementia risk. We included 14 studies using administrative or medical records data for more than 130 million individuals and 1 million dementia cases. Despite inconsistencies in identifying specific drugs that may modify Alzheimer's or dementia risk, some themes emerged for drug classes with biological plausibility. Antimicrobials, vaccinations, and anti‐inflammatories were associated with reduced risk, while diabetes drugs, vitamins and supplements, and antipsychotics were associated with increased risk. We found conflicting evidence for antihypertensives and antidepressants. Drug repurposing for use in dementia is an urgent priority. Our findings offer a basis for prioritizing candidates and exploring underlying mechanisms. Highlights We present a systematic review of studies reporting association between drugs prescribed for other conditions and risk of dementia including 139 million people and 1 million cases of dementia. Our work supports some previously reported associations, for example, showing decreased risk of dementia with drugs to treat inflammatory disease and increased risk with antipsychotic treatment. Antimicrobial treatment was perhaps more surprisingly associated with decreased risk, supportive of recent increased interest in this potential therapeutic avenue. Our work should help prioritize drugs for entry into adaptive platform trials in Alzheimer's disease and will serve as a useful resource for those investigating drugs or classes of drugs and risk of dementia.

Abstract The largest risk factor for dementia is age. Heterochronic blood exchange studies have uncovered age-related blood factors that demonstrate ‘pro-aging’ or ‘pro-youthful’ effects on the mouse brain. The clinical relevance and combined effects of these factors for humans is unclear. We examined five previously identified brain rejuvenation factors in cerebrospinal fluid of adults with autosomal dominant forms of frontotemporal dementia and sporadic Alzheimer’s disease. Our frontotemporal dementia cohort included 100 observationally followed adults carrying autosomal dominant frontotemporal dementia mutations (Mage = 49.6; 50% female; 43% C9orf72, 24% GRN, 33% MAPT) and 62 non-carriers (Mage = 52.6; 45% female) with cerebrospinal fluid analysed on Somascan, and longitudinal (Mvisits = 3 years, range 1–7 years) neuropsychological and functional assessments and plasma neurofilament light chain. Our Alzheimer’s disease cohort included 35 adults with sporadic Alzheimer’s disease (Mage = 69.4; 60% female) and 56 controls (Mage = 68.8, 50% female) who completed the same cerebrospinal fluid and clinical outcome measures cross-sectionally. Levels of C-C motif chemokine ligand 11, C-C motif chemokine ligand 2, beta-2-micorglobulin, bone gamma-carboxyglutamate protein (aka Osteocalcin) and colony stimulating factor 2 in cerebrospinal fluid were linearly combined into a composite score, with higher values reflecting ‘pro-youthful’ levels. In genetic frontotemporal dementia, higher baseline cerebrospinal fluid rejuvenation proteins predicted slower decline across cognitive, functional, and neurofilament light chain trajectories; estimates were similar across genotypes. In transdiagnostic analyses, higher cerebrospinal fluid rejuvenation proteins associated with better functional, cognitive, and neurofilament light chain outcomes in adults with sporadic Alzheimer’s disease. Proteins with pre-clinical evidence for brain rejuvenation show translational clinical relevance in adults with Alzheimer’s disease and related dementias and warrant further investigation.

Dermatofibrosarcoma protuberans (DFSP) is a rare cutaneous soft tissue sarcoma and affects an estimated 1,500 people annually in the United States. DFSP frequently exhibits extensive local infiltration. Initial treatment is through surgical excision, and care should be taken to ensure that negative margins are achieved to minimize recurrence. Although DFSP has a reported high rate of recurrence, metastasis is more uncommon. Fibrosarcomatous DFSP is an aggressive variant with an increased risk for local recurrence and metastasis. If achieving negative margins or resection is not feasible, radiation therapy or systemic treatment are options that may be considered by a multidisciplinary team. The NCCN Clinical Practice Guidelines in Oncology (NCCN Guidelines) outline recommended treatment options available for DFSP.

ABSTRACTBackgroundOlfactory neuroblastoma (ONB) is a rare sinonasal malignancy primarily treated with surgery. For tumors arising from the olfactory area, traditional treatment involves transcribriform resection of the anterior cranial fossa. Surgery can be performed with unilateral or bilateral resection depending on extent of involvement; however, there are currently no studies comparing outcomes between the two.MethodsProspective and retrospective data on primary ONB patients were collected from a multicenter registry involving eight academic sites. Propensity score matching (PSM) was used to create patient cohorts with similar baseline characteristics. Cox proportional hazards and Kaplan Meier analyses assessed overall survival (OS). Logistic regression assessed associations between extent of resection (unilateral versus bilateral) and tumor recurrence or postoperative cerebrospinal fluid (CSF) leak.ResultsA total of 187 ONB patients (47.6% female) with an average age of 53.6 ± 15.1 years were analyzed. Most tumors were unilateral (81.3%) and predominantly Kadish C (58.3%) or Hyams II (55.8%). Overall, 56.7% of patients underwent bilateral resection. Fifty‐four patients experienced tumor recurrence and nine had postoperative CSF leaks. Following PSM (n = 45/group), extent of resection was not associated with mortality (hazard ratio [HR] 1.73; p = 0.407) or OS (p = 0.400). There was no association between extent of resection and recurrence (odds ratio [OR] 0.90; p = 0.814) or postoperative CSF leak (OR 1.54; p = 0.647).ConclusionsFor ONB tumors where unilateral resection may be feasible and oncologically sound, the decision for unilateral versus bilateral resection showed no significant effect on survival, recurrence, or postoperative CSF leak. Oncologic outcomes may be comparable when resection is tailored to individual patient and tumor characteristics.

Background/Objectives: Little information has been published on patients diagnosed with brain metastasis secondary to lung cancer. Correlating outcome patterns (hospice care, lost to follow-up, death before hospice care or treatment) and specific characteristics of treated and untreated patients may identify subsets of patients who may benefit from treatment. Methods: We evaluated data from the Kentucky Cancer Registry and identified 284 cases who were diagnosed with brain metastasis secondary to non-small cell lung cancer (NSCLC) between 1 August 2016, and 31 December 2019. We evaluated type and timing of treatment received, as well as focused on those patients who did not receive treatment. For those patients who did not receive treatment, various characteristics that may have impacted their decision or ability to undergo follow-up were also evaluated. This included social history, disease burden, as well as oncology treatment timelines. Lastly, due to the high smoking rate in Kentucky, we conducted an analysis of patient tobacco use. Results: Our results show that 61 cases (21.8%) never received treatment for lung cancer with brain metastasis. Further analysis of the non-treated cases demonstrated that 19 cases (31.1%) never met with an oncology team while in the hospital or after discharge; 14 of the 61 cases (23.0%) were too sick to receive treatment and died prior to having the option of treatment; and 47 of the 61 cases (77.0%) may have had the option of treatment but declined. Conclusions: Historically, patients with brain metastases have faced poor prognoses and limited treatment options. However, advancements in systemic chemoimmunotherapy and targeted therapies have introduced new treatment possibilities, offering improved symptom control and the potential for prolonged survival. This analysis is crucial for identifying potential barriers to care, optimizing resource allocation, and guiding future research.

AbstractBackgroundCross‐modality translation between MRI and PET presents significant challenges due to the distinct mechanisms underlying those modalities. Currently, the leading method for this translation is CycleGAN. Previous studies have proved a strong correlation between BBBMs and brain amyloid status measured by PET. However, the impact of blood‐based biomarkers (BBBMs) on PET image synthesis has not yet been thoroughly evaluated. In this study, we propose Plasma CycleGAN, a generative model based on CycleGAN to synthesize PET images from MRI, while also incorporating BBBMs and other clinical covariates. We show that Plasma CycleGAN outperforms the state‐of‐the‐art CycleGAN for MRI‐to‐PET translation. Our method is the first to integrate BBBMs in a conditional cross modality translation from MRI to PET.MethodOur model was built on CycleGAN architecture, while the backbone was improved by integrating BBBMs as additional conditions in the input domain. To be specific, we introduce a masked perturbation in the MRI image, whose voxel‐level magnitudes are learnable parameters in the neural network. The dataset we used to evaluate our model is downloaded from the ADNI database. The cohort contains 160 subjects with matching BBBM, T1‐weighted MRI images, amyloid PET, and clinical features, including age, sex, weights, etc. The synthesized PET images are compared with the ground truth PET images for performance evaluation using traditional metrics like structural similarity index (SSIM), peak‐signal‐to‐noise ratio (PSNR) and mean square error (MSE). In addition, the Pearson correlation coefficients (PCCs) of the masked SUVR ratios were calculated.ResultWe evaluated the baseline CycleGAN model using MRI input, as well as combined inputs of MRI+BBBM and other clinical features. Our model achieved an SSIM of 0.72±0.16 and PSNR of 22.8±2.3 in PET image synthesis task using MRI+ Aβ42/40, both yielding the best results among all input combinations. MRI+sex achieved the best result using MSE measurement. PCCs of all experimental results ranged from 0.44 to 0.5.ConclusionWe introduce Plasma CycleGAN, the first generative model to integrate BBBMs and clinical features in PET image synthesis from MRI images. In PET image synthesis task, our proposed integrated model outperforms the baseline CycleGAN model.