Citations

Précis: Multiple systemic vascular-associated conditions including systemic hypertension and hypotension, diabetes mellitus, migraine headache, peripheral vascular disease, Raynaud syndrome, and anemia were associated with low-tension glaucoma. Purpose: The purpose of this study was to identify systemic risk factors associated with low-tension glaucoma. Patients and Methods: A retrospective case-control study design was employed to identify patients seen at the Mayo Clinic Department of Ophthalmology between 2005 and 2015 with low-tension glaucoma and an age-matched and sex-matched control group, each containing 277 patients. Results: The low-tension glaucoma group had more myopic refractive errors (−1.6 vs. −1.0 D, P <0.001), lower intraocular pressure (14.2 vs. 15.2 mm Hg, P <0.001), and a higher cup-to-disc ratio (0.7 vs. 0.3, P <0.001). The low-tension glaucoma group was significantly less likely to be obese (body mass index >30, P =0.03). This group had a significantly higher prevalence of systemic hypertension [odds ratio (OR): 1.64, P =0.004], diabetes mellitus (OR: 3.01, P <0.001), peripheral vascular disease (OR: 2.61, P =0.009), migraine headache (OR: 2.12, P =0.02), anemia (OR: 2.18, P =0.003), systemic hypotension (OR: 4.43, P <0.001), Raynaud syndrome (OR: 3.09, P =0.05), and angiotensin-converting enzyme inhibitor (OR: 1.64, P =0.01) or calcium channel blocker use (OR: 1.98, P =0.004). After adjusting for systemic hypertension, calcium channel blocker use remained significant (OR: 1.70, P =0.03). No significant difference was found between groups with respect to hyperlipidemia, obstructive sleep apnea, coronary artery disease, carotid stenosis, stroke, or statin, angiotensin-converting enzyme inhibitor, angiotensin receptor blocker, beta-blocker, or metformin use. Conclusions: Multiple vascular-associated conditions were associated with low-tension glaucoma including systemic hypertension, diabetes mellitus, peripheral vascular disease, migraine headache, Raynaud syndrome, anemia, systemic hypotension, and calcium channel blocker use. This study strengthens the evidence for the vascular hypothesis of low-tension glaucoma.

Abstract Therapeutic advances for glioblastoma have been minimal over the past 2 decades. In light of the multitude of recent phase III trials that have failed to meet their primary endpoints following promising preclinical and early-phase programs, a Society for Neuro-Oncology Think Tank was held in November 2020 to prioritize areas for improvement in the conduct of glioblastoma clinical trials. Here, we review the literature, identify challenges related to clinical trial eligibility criteria and trial design in glioblastoma, and provide recommendations from the Think Tank. In addition, we provide a data-driven context with which to frame this discussion by analyzing key study design features of adult glioblastoma clinical trials listed on ClinicalTrials.gov as “recruiting” or “not yet recruiting” as of February 2021.

135 Background: Black patients have a disproportionately high incidence and mortality from lung cancer. Despite the importance of clinical trials, there continue to be significant racial disparities in recruitment for pivotal registration studies. In 2016, the FDA recommended reporting racial enrollment with a minimum of 5 categories (White, Black, Asian, American Indian or Alaskan Native [AIAN] and Native Hawaiian or Pacific Islander [NHPI]). The International Committee of Medical Journal Editors also recommend reporting race and ethnicity. We evaluated race reporting and representation in registration trials for thoracic cancers. Methods: We reviewed the FDA website and identified all new drug licensing indications in thoracic malignancies (small cell lung cancer (SCLC), non-small cell lung cancer (NSCLC) and mesothelioma) from 2006 to 2020. NSCLC was further classified as EGFR+, ALK+, other mutation and NOS (no driver mutation). Clinical trials cited on the licensing label for market authorization were recorded and the corresponding registration trial publication was identified. If race was unreported or underreported (defined as ≤3 groups) in the licensing study, then additional information was obtained from clinicaltrials.gov. We calculated the proportion of registration trials meeting FDA criteria and the proportion of each racial group in trials. Results: From 2006-2020, we identified 55 new licensing indications, involving 26 unique drugs; 5 approvals in SCLC, 49 approvals in NSCLC and 1 in mesothelioma. Prior to the FDA race reporting guidelines, 33% (6/18) of registration studies did not meet FDA requirements. This improved to 27% (10/37) after the guideline introduction. Overall 29,545 patients participated in thoracic registration trials; 66% White, 22% Asian, 2% Black, <1% AIAN, <1% NHPI, 1% other or multiple races and 9% unknown. Table shows race distribution by cancer subtype. Conclusions: Although improving, a substantial number of registrational clinical trials in thoracic oncology still do not report race per FDA guidance. In addition, Black individuals are disproportionately under-represented in registration trials. Greater efforts are needed for the inclusion of Black patients and other minorities in clinical trials.[Table: see text]

There are no biomarkers predictive of resistance to docetaxel or cabazitaxel validated for patients with metastatic castration-resistant prostate cancer (mCRPC). We assessed the association between ABCB1 amplification and primary resistance to docetaxel or cabazitaxel for patients with mCRPC, using circulating cell-free DNA (cfDNA). Patients with ≥1 plasma sample drawn within 12 months before starting docetaxel (cohort A) or cabazitaxel (cohort B) for mCRPC were identified from the Dana–Farber Cancer Institute IRB approved database. Sparse whole genome sequencing was performed on the selected cfDNA samples and tumor fractions were estimated using the computational tool ichorCNA. We evaluated the association between ABCB1 amplification or other copy number alterations and primary resistance to docetaxel or cabazitaxel. Of the selected 176 patients, 45 samples in cohort A and 21 samples in cohort B had sufficient tumor content. No significant association was found between ABCB1 amplification and primary resistance to docetaxel (p = 0.58; odds ratio (OR) = 1.49) or cabazitaxel (p = 0.97; OR = 1.06). No significant association was found between exploratory biomarkers and primary resistance to docetaxel or cabazitaxel. In this study, ABCB1 amplification did not predict primary resistance to docetaxel or cabazitaxel for mCRPC. Future studies including ABCB1 amplification in a suite of putative biomarkers and a larger cohort may aid in drawing definitive conclusions.

Abstract Motivation Genomic data are prevalent, leading to frequent encounters with uninterpreted variants or mutations with unknown mechanisms of effect. Researchers must manually aggregate data from multiple sources and across related proteins, mentally translating effects between the genome and proteome, to attempt to understand mechanisms. Materials and methods P2T2 presents diverse data and annotation types in a unified protein-centric view, facilitating the interpretation of coding variants and hypothesis generation. Information from primary sequence, domain, motif, and structural levels are presented and also organized into the first Paralog Annotation Analysis across the human proteome. Results Our tool assists research efforts to interpret genomic variation by aggregating diverse, relevant, and proteome-wide information into a unified interactive web-based interface. Additionally, we provide a REST API enabling automated data queries, or repurposing data for other studies. Conclusion The unified protein-centric interface presented in P2T2 will help researchers interpret novel variants identified through next-generation sequencing. Code and server link available at github.com/GenomicInterpretation/p2t2.

Purpose Diffusion‐weighted imaging allows investigators to identify structural, microstructural, and connectivity‐based differences between subjects, but variability due to session and scanner biases is a challenge. Methods To investigate DWI variability, we present MASiVar, a multisite data set consisting of 319 diffusion scans acquired at 3 T from b = 1000 to 3000 s/mm 2 across 14 healthy adults, 83 healthy children (5 to 8 years), three sites, and four scanners as a publicly available, preprocessed, and de‐identified data set. With the adult data, we demonstrate the capacity of MASiVar to simultaneously quantify the intrasession, intersession, interscanner, and intersubject variability of four common DWI processing approaches: (1) a tensor signal representation, (2) a multi‐compartment neurite orientation dispersion and density model, (3) white‐matter bundle segmentation, and (4) structural connectomics. Respectively, we evaluate region‐wise fractional anisotropy, mean diffusivity, and principal eigenvector; region‐wise CSF volume fraction, intracellular volume fraction, and orientation dispersion index; bundle‐wise shape, volume, fractional anisotropy, and length; and whole connectome correlation and maximized modularity, global efficiency, and characteristic path length. Results We plot the variability in these measures at each level and find that it consistently increases with intrasession to intersession to interscanner to intersubject effects across all processing approaches and that sometimes interscanner variability can approach intersubject variability. Conclusions This study demonstrates the potential of MASiVar to more globally investigate DWI variability across multiple levels and processing approaches simultaneously and suggests harmonization between scanners for multisite analyses should be considered before inference of group differences on subjects.

AbstractBackgroundMucosal‐associated invariant T (MAIT) cells are unconventional T cells which recognize microbial metabolites presented by the major histocompatibility complex class I‐related molecule MR1. Although MAIT cells have been shown to reside in human and murine skin, their contribution to atopic dermatitis (AD), an inflammatory skin disease associated with barrier dysfunction and microbial translocation, has not yet been determined.MethodsGenetic deletion of MR1 and topical treatment with inhibitory MR1 ligands, which result in the absence and functional inhibition of MAIT cells, respectively, were used to investigate the role of MR1‐dependent immune surveillance in a MC903‐driven murine model of AD.ResultsThe absence or inhibition of MR1 arrested AD disease progression through the blockade of both eosinophil activation and recruitment of IL‐4‐ and IL‐13‐producing cells. In addition, the therapeutic efficacy of phototherapy against MC903‐driven AD could be increased with prior application of folate, which photodegrades into the inhibitory MR1 ligand 6‐formylpterin.ConclusionWe identified MAIT cells as sentinels and mediators of cutaneous type 2 immunity. Their pathogenic activity can be inhibited by topical application or endogenous generation, via phototherapy, of inhibitory MR1 ligands.

11009 Background: Gender & racial/ethnic leadership disparities have been independently identified in academic hematology/oncology (HO) and radiation oncology (RO). Here, we evaluate gender and racial/ethnic intersectionality from the trainee to the leadership level. Methods: All ACGME accredited HO and RO training program websites were queried to identify constituent trainees, academic faculty, program directors (PD) and department chairs (DC), with a leadership position defined as PD or DC. Individual gender & race/ethnicity was determined using externally validated software tools (Gender-API, NamSor, & Onolytics), publicly available descriptors, and image review. We grouped individuals into 6 categories: White Male (WM), White Female (WF), Asian Male (AM), Asian Female (AF), Underrepresented Groups in Medicine (as defined by AAMC) Male (URMM) and Female (URMF). The chi-squared goodness-of-fit test was applied to examine if deviations exist between the observed vs. expected proportions of gender/race dyads in trainees, PD, and DC compared to academic faculty. Results: We identified 7,722 individuals from 2019-2020: 1,759 trainees (HO=1525; RO=234), 5,726 faculty (HO=4834; RO=892), 242 PD (HO=149; RO=93) and 237 DC (HO=144; RO=93). Leadership positions were most often comprised by WM (52.6%), and least often comprised by URMF (2.9%). Combined HO/RO analysis revealed significant differences in the observed representation of trainees & DC vs expected levels based on total faculty, respectively: WM (33.7% & 60.3% vs. 42.3%), WF (19.2% & 13.9% vs. 22.3%), AM (20.75% & 16.9% vs. 16.4%), AF (17.9% & 2.5% vs. 12.7%), URMM (4.09% & 5.5% vs. 3.5%) and URMF (4.3% & 0.8% vs. 2.8%), p<0.01. No differences were seen between PD vs total faculty. On subset analysis, there were significant differences observed in HO programs at the trainee, PD and DC levels compared to total faculty, whereas significant differences in RO programs were seen only at the DC level [Table]. Conclusions: Gender & racial/ethnic disparity is present in academic oncology. Specifically, women of all races/ethnicities are proportionally underrepresented in DC positions in HO and RO programs. These data can serve as a benchmark to raise awareness and monitor progress towards a more balanced workforce in oncology.[Table: see text]

Precis: Diplopia was present in ~20% of patients with Ahmed FP7 (FP7) or Baerveldt 350 (B350), compared with 5% to 6% in those with Baerveldt 250 (B250) or controls, suggesting risk of diplopia should be included in preoperative counseling. Purpose: The purpose of this study was to examine the prevalence of diplopia and strabismus in patients with B250, B350, or FP7 glaucoma drainage devices (GDD). Materials and Methods: In this cohort study, glaucoma patients 18 years and above who had received, or would be receiving, a B250, B350, or FP7 GDD, and medically treated controls were consecutively enrolled from August 8, 2017, through July 31, 2019. The Diplopia Questionnaire was administered ≥30 days postoperatively, and upon enrollment to the controls. All diplopic patients underwent orthoptic measurements, which were reviewed by a strabismus specialist. Patients with GDDs in quadrants other than superotemporal, multiple GDDs, or scleral buckles were excluded. Bonferroni correction was applied for pairwise comparisons. Results: Diplopia was reported in 23/129 (17.8%) GDD patients and 5/99 (5.1%) control patients (P=0.003): 8/35 (22.9%) FP7, 2/32 (6.3%) B250, and 13/62 (21.0%) B350, with significant differences between FP7 versus controls (P=0.014) and B350 versus controls (P=0.011). Diplopia was attributable to GDD in 2 FP7 (5.9%, 95% confidence interval: 0.7-19.2), 0 B250, and 4 B350 (6.5%, 95% confidence interval: 1.7-15.2) patients, without significant differences between the GDDs. Conclusions: Patients with the larger (B350) or the higher profile plate (FP7) GDDs were more likely to experience diplopia than controls, and diplopia was attributable to the GDD in ~6% of patients with either a FP7 or a B350 GDD. Since diplopia can affect patients’ quality of life, preoperative counseling for GDD surgery, particularly B350 and FP7, should include a discussion of the risk of diplopia.