Citations

3109 Background: WSD0922-Fu is an oral, central nervous system (CNS)-penetrant, small molecule, ATP non-competitive, reversible EGFR inhibitor which potently inhibits EGFR aberrations specific to non-small cell lung cancer (NSCLC) and high-grade astrocytoma (HGA). We report initial results of a first-in-human phase 1 dose-escalation trial (NCT04197934) in patients with EGFR aberrant recurrent HGA and NSCLC. Methods: Adult patients with either recurrent EGFR mutant NSCLC with CNS metastases or recurrent EGFR mutant and/or EGFR amplified HGA were enrolled. WSD0922-Fu was orally administered, and dose escalated in cohorts based on a standard 3+3 design to determine the maximum tolerated dose (MTD). Toxicities were graded per CTCAE v5.0 and preliminary efficacy was based on modified RANO criteria or RECIST 1.1 as appropriate. Results: 25 patients (17 HGA, 8 NSCLC) were enrolled and treated in six cohorts (40 mg once daily to 320 mg twice daily, 28-day cycles). The median age was 57 years (range 39-75 years). 24% were female and 36% were ECOG 0. For patients with HGA, all patients were previously treated with radiation and temozolomide; the median number of prior lines of systemic therapy was 1 (range 1-4). For patients with NSCLC, all patients were previously treated with an EGFR inhibitor (prior osimertinib 88%); the median number of prior lines of systemic therapy was 1.5 (range 1-6). The median duration of exposure to WSD0922-Fu among all patients was 54 days (range 2-258 days). The most common (≥25%) treatment-related adverse events included fatigue (68%), acneiform rash (68%), diarrhea (52%), nausea (48%) and pruritis (28%). The frequency of severe AEs was dose dependent. The most common Grade 3+ AEs (≥10%) included lymphopenia (16%), acneiform rash (12%), headache (12%) and diarrhea (12%). The MTD was defined as 160 mg twice daily. At Cycle 1 Day 15 for patients treated at this dose level, the mean terminal elimination half-life (%CV) in the plasma was 31.6 h (102%) (median 14.5 h; range 6.2-78.7 h). The mean Cmax, Tmax, oral clearance at steady state, and AUC (0-12 h) (%CV) were 4513 ng/mL (50%), 2.0 hr (69%), 6.9 L/hr/m2 (42%), and 28084 h*ng/mL (52%), respectively. Oral clearance at steady state was inversely related with dose, suggesting either inhibition or saturation of clearance processes. Among patients treated at MTD or higher dose levels and with available response data, 100% (5/5) of patients with NSCLC demonstrated clinical benefit (SD + PR) while 60% of patients had partial responses (intracranial and extracranial). Furthermore, prolonged stable disease (9 cycles) was observed in a patient with EGFRvIII mutant GBM. Conclusions: The MTD for WSD0922-Fu monotherapy is 160 mg BID. Preliminary efficacy was observed in patients with osimertinib-resistant NSCLC and EGFRvIII mutant HGA. Enrollment to expansion cohorts is ongoing. Clinical trial information: NCT04197934 .

Importance Scoring systems for Stevens-Johnson syndrome and epidermal necrolysis (EN) only estimate patient prognosis and are weighted toward comorbidities and systemic features; morphologic terminology for EN lesions is inconsistent. Objectives To establish consensus among expert dermatologists on EN terminology, morphologic progression, and most-affected sites, and to build a framework for developing a skin-directed scoring system for EN. Evidence Review A Delphi consensus using the RAND/UCLA appropriateness criteria was initiated with a core group from the Society of Dermatology Hospitalists to establish agreement on the optimal design for an EN cutaneous scoring instrument, terminology, morphologic traits, and sites of involvement. Findings In round 1, the 54 participating dermatology hospitalists reached consensus on all 49 statements (30 appropriate, 3 inappropriate, 16 uncertain). In round 2, they agreed on another 15 statements (8 appropriate, 7 uncertain). There was consistent agreement on the need for a skin-specific instrument; on the most-often affected skin sites (head and neck, chest, upper back, ocular mucosa, oral mucosa); and that blanching erythema, dusky erythema, targetoid erythema, vesicles/bullae, desquamation, and erosions comprise the morphologic traits of EN and can be consistently differentiated. Conclusions and Relevance This consensus exercise confirmed the need for an EN skin-directed scoring system, nomenclature, and differentiation of specific morphologic traits, and identified the sites most affected. It also established a baseline consensus for a standardized EN instrument with consistent terminology.

Background: Patients with respiratory manifestations of acute COVID-19 infection have enlarged luminal areas of central conducting airways demonstrated on computed tomography imaging and abnormal pulmonary function. In some cases, COVID-19 symptoms may persist for more than 4 weeks, referred to as long COVID, and the effect on airway luminal area remains unknown. Herein, we report airway luminal cross-sections areas among a long COVID group, compared to individuals with an acute COVID-19. We aim to investigate if large conducting airways sizes are different between acute COVID-19 and long COVID patients. Methods: A cohort of 181 people with long COVID were screened, of which 20 people (9 men, 11 women; 55.9 ± 14.1 years) were included in analyses. Twenty age, height, and sex matched patients with an acute (< 4 weeks of persistent symptoms from diagnosis) COVID-19 infection (55.7 ± 15.2 years) served as a comparison group. We used a three-dimensional reconstruction of computed tomography imaging to measure luminal areas of the trachea, right and left main bronchi, bronchus intermediate, right and left upper lobe, and left lower lobe bronchi at proximal, middle, and distal cross-sectional points in both groups. Airway luminal area was taken as the average of the three points. We compared average lumen area of long COVID patients with acute COVID-19 individuals, using an independent samples t-test. Results: We found no significant difference comparing measurements of the following airway luminal cross-sectional areas: trachea (277.7 ± 100.4 vs. 268.0 ± 70.5 mm2 p=0.73), right main bronchus (191.0 ± 66.1 vs. 190.1 ± 49.0 mm2, p=0.96), bronchus intermediate (112.3 ± 33.4 vs. 109.3 ± 27.9 mm2, p=0.76), right upper lobe bronchus (74.4 ± 21.0 vs. 73.7 ± 25.5 mm2, p=0.92), left main bronchus (129.1 ± 50.1 vs. 136.9 ± 38.0 mm2, p=0.58), left lower lobe bronchus (57.8 ± 18.2 vs. 59.0 ± 13.4 mm2, p=0.82), and left upper lobe bronchus (80.1 ± 19.5 vs. 77.9 ± 22.9 mm2, p=0.75) in the long COVID and acute COVID-19 groups respectively. Conclusion: In patients with long COVID, compared to those with an acute COVID-19 infection, we did not see differences in central airway luminal areas. Further analysis of a larger cohort is needed to determine whether enlarged airway luminal areas, associated with acute COVID-19, persist in long COVID. This research will expand knowledge on functional consequences for patients with long COVID. Funding: F32HL154320 to JWS; 5R35HL139854 to MJJ. This is the full abstract presented at the American Physiology Summit 2023 meeting and is only available in HTML format. There are no additional versions or additional content available for this abstract. Physiology was not involved in the peer review process.

Background: Interstitial lung disease (ILD) encompasses several pulmonary disorders associated with scarring and fibrosis of pulmonary tissue. People with idiopathic pulmonary fibrosis, a subset of ILD, have greater central airway luminal area compared to age- and sex-matched healthy controls when evaluated using microcomputed tomography, a process examining the luminal area of ex-vivo lung tissue. In this study we aimed to confirm these findings using a different method of airway assessment, three-dimensional (3D) reconstruction of computed tomography (CT) scans. Moreover, in health, males have larger central airways than height-matched females, but it remains unknown if there are sex differences in airway area among people with ILD. We hypothesized that sex differences observed in healthy people would persist among people with ILD. Methods: A cohort of 399 patients with lung CT scans were screened, of which 19 people (7 females) with ILD were included in analyses after exclusions. People with ILD were matched based on sex, age, and height to 19 healthy controls. We assessed cross-sectional luminal area at the midpoint of seven conducting airways (trachea, left and right main bronchus, intermediate bronchus, left and right upper lobe, and left lower lobe). Results from pulmonary function tests were also abstracted, as available. To examine sex differences, we compared airway luminal area, normalized to participant height, between males and females with ILD. Sex differences were analyzed using a univariate ANOVA test. Results: People with ILD had a preserved ratio of forced expiratory volume in the first second to forced vital capacity (101 ±12%predicted) and decreased diffusing capacity for carbon monoxide (55 ±23%predicted). People with ILD had airways that were between 19.6%-45.0% larger than controls (p<0.05). Composite physiologic index, a marker of ILD severity, was not different between sexes (p=0.07). Males with ILD had significantly larger, luminal areas than females in two central airways - right main bronchus (1.46±0.41 vs. 1.07±0.22 mm2/cm, p=0.04) and left upper lobe (0.54±0.10 vs. 0.43±0.08 mm2/cm, p=0.02). However, luminal area of other central airways, including: trachea (2.15±0.57 vs. 1.65±0.32 mm2/cm, p=0.051), bronchus intermediate (0.77±0.23 vs. 0.61±0.13 mm2/cm, p=0.12), right upper lobe (0.47±0.15 vs. 0.40±0.06 mm2/cm, p=0.26), left main bronchus (0.93±0.33 vs. 0.69±0.16 mm2/cm, p=0.09), and left lower lobe (0.41±0.13 vs. 0.40±0.08 mm2 /cm, p=0.79) were not different between sexes in people with ILD. Conclusion: Sex differences observed in healthy people are potentially preserved in ILD, but a more robust sample is required to fully elucidate these findings. Illuminating any sex differences in ILD pathophysiology may provide knowledge to treat and improve clinical outcomes in ILD. Funding: National Heart, Lung, and Blood Institute (F32HL154320 to JWS; 5R35HL139854 to MJJ). This is the full abstract presented at the American Physiology Summit 2023 meeting and is only available in HTML format. There are no additional versions or additional content available for this abstract. Physiology was not involved in the peer review process.

Monoclonal antibody treatment initially heralded an era of molecularly targeted therapy in oncology and is now widely applied in modulating anti-cancer immunity by targeting programmed cell receptors (PD-1, PD-L1), cytotoxic T-lymphocyte-associated protein 4 (CTLA-4) and, more recently, lymphocyte-activation gene 3 (LAG3). Chimeric antigen receptor T-cell therapy (CAR-T) recently proved to be a valid approach to inducing anti-cancer immunity by directly modifying the host’s immune cells. However, such cell-based therapy requires extensive resources such as leukapheresis, ex vivo modification and expansion of cytotoxic T-cells and current Good Manufacturing Practice (cGMP) laboratories and presents significant logistical challenges. Bi-/trispecific antibody technology is a novel pharmaceutical approach to facilitate the engagement of effector immune cells to potentially multiple cancer epitopes, e.g., the recently approved blinatumomab. This opens the opportunity to develop ‘off-the-shelf’ anti-cancer agents that achieve similar and/or complementary anti-cancer effects as those of modified immune cell therapy. The majority of bi-/trispecific antibodies target the tumor-associated antigens (TAA) located on the extracellular surface of cancer cells. The extracellular antigens represent just a small percentage of known TAAs and are often associated with higher toxicities because some of them are expressed on normal cells (off-target toxicity). In contrast, the targeting of intracellular TAAs such as mutant RAS and TP53 may lead to fewer off-target toxicities while still achieving the desired antitumor efficacy (on-target toxicity). Here, we provide a comprehensive review on the emerging field of bi-/tri-specific T-cell engagers and potential therapeutic opportunities.

Accurate prediction of progression in subjects at risk of Alzheimer's disease is crucial for enrolling the right subjects in clinical trials. However, a prospective comparison of state-of-the-art algorithms for predicting disease onset and progression is currently lacking. We present the findings of "The Alzheimer's Disease Prediction Of Longitudinal Evolution" (TADPOLE) Challenge, which compared the performance of 92 algorithms from 33 international teams at predicting the future trajectory of 219 individuals at risk of Alzheimer's disease. Challenge participants were required to make a prediction, for each month of a 5-year future time period, of three key outcomes: clinical diagnosis, Alzheimer's Disease Assessment Scale Cognitive Subdomain (ADAS-Cog13), and total volume of the ventricles. The methods used by challenge participants included multivariate linear regression, machine learning methods such as support vector machines and deep neural networks, as well as disease progression models. No single submission was best at predicting all three outcomes. For clinical diagnosis and ventricle volume prediction, the best algorithms strongly outperform simple baselines in predictive ability. However, for ADAS-Cog13 no single submitted prediction method was significantly better than random guesswork. Two ensemble methods based on taking the mean and median over all predictions, obtained top scores on almost all tasks. Better than average performance at diagnosis prediction was generally associated with the additional inclusion of features from cerebrospinal fluid (CSF) samples and diffusion tensor imaging (DTI). On the other hand, better performance at ventricle volume prediction was associated with inclusion of summary statistics, such as the slope or maxima/minima of patient-specific biomarkers. On a limited, cross-sectional subset of the data emulating clinical trials, performance of the best algorithms at predicting clinical diagnosis decreased only slightly (2 percentage points) compared to the full longitudinal dataset. The submission system remains open via the website https://tadpole.grand-challenge.org, while TADPOLE SHARE (https://tadpole-share.github.io/) collates code for submissions. TADPOLE's unique results suggest that current prediction algorithms provide sufficient accuracy to exploit biomarkers related to clinical diagnosis and ventricle volume, for cohort refinement in clinical trials for Alzheimer's disease. However, results call into question the usage of cognitive test scores for patient selection and as a primary endpoint in clinical trials.

ObjectiveWe aimed to develop readily measurable digital quality measure statements for clinical care in systemic lupus erythematosus (SLE) using a multistep process guided by consensus methods.MethodsUsing a modified Delphi process, an American College of Rheumatology (ACR) workgroup of SLE experts reviewed all North American and European guidelines from 2000 to 2020 on treatment, monitoring, and phenotyping of patients with lupus. Workgroup members extracted quality constructs from guidelines, rated these by importance and feasibility, and generated evidence‐based quality measure statements. The ACR Rheumatology Informatics System for Effectiveness (RISE) Registry was queried for measurement data availability. In 3 consecutive Delphi sessions, a multidisciplinary Delphi panel voted on the importance and feasibility of each statement. Proposed measures with consensus on feasibility and importance were ranked to identify the top 3 measures.ResultsReview of guidelines and distillation of 57 quality constructs resulted in 15 quality measure statements. Among these, 5 met high consensus for importance and feasibility, including 2 on treatment and 3 on laboratory monitoring measures. The 3 highest‐ranked statements were recommended for further measure specification as SLE digital quality measures: 1) hydroxychloroquine use, 2) limiting glucocorticoid use >7.5 mg/day to <6 months, and 3) end‐organ monitoring of kidney function and urine protein excretion at least every 6 months.ConclusionThe Delphi process selected 3 quality measures for SLE care on hydroxychloroquine, glucocorticoid reduction, and kidney monitoring. Next, measures will undergo specification and validity testing in RISE and US rheumatology practices as the foundation for national implementation and use in quality improvement programs.image

Gender inequality across the world has been associated with a higher risk to mental health problems and lower academic achievement in women compared to men. We also know that the brain is shaped by nurturing and adverse socio-environmental experiences. Therefore, unequal exposure to harsher conditions for women compared to men in gender-unequal countries might be reflected in differences in their brain structure, and this could be the neural mechanism partly explaining women’s worse outcomes in gender-unequal countries. We examined this through a random-effects meta-analysis on cortical thickness and surface area differences between adult healthy men and women, including a meta-regression in which country-level gender inequality acted as an explanatory variable for the observed differences. A total of 139 samples from 29 different countries, totaling 7,876 MRI scans, were included. Thickness of the right hemisphere, and particularly the right caudal anterior cingulate, right medial orbitofrontal, and left lateral occipital cortex, presented no differences or even thicker regional cortices in women compared to men in gender-equal countries, reversing to thinner cortices in countries with greater gender inequality. These results point to the potentially hazardous effect of gender inequality on women’s brains and provide initial evidence for neuroscience-informed policies for gender equality.