Citations

Objective Raynaud phenomenon (RP) is often the initial clinical manifestation of systemic sclerosis (SSc), but some patients develop other manifestations first. To help elucidate the diversity of SSc presentation in its early stages, we describe the initial clinical manifestations and antinuclear antibody (ANA) profiles of patients in two early SSc cohorts. Methods All patient data in the Genetics vs Environment in Scleroderma Outcomes Study (GENISOS) and Collaborative National Quality and Efficacy Registry (CONQUER) cohorts were reviewed. Both studies enrolled patients within five years of the first non‐RP symptom. Results In GENISOS and CONQUER, respectively, 194 (44.2%) of 439 and 292 (31.1%) of 938 patients had a non‐RP initial symptom, most commonly puffy fingers/hands. Black patients had a non‐RP symptom before RP more commonly than patients in other race and ethnicity categories. Non‐RP first patients were more likely than RP first patients to have diffuse cutaneous involvement and joint contractures at enrollment and had a higher prevalence of RNA polymerase III antibody positivity. Conclusion In two large US cohorts, >30% of patients began to manifest SSc with puffy fingers/hands or other symptoms, without the “warning sign” of RP as their initial symptom. These patients presented with more severe skin and musculoskeletal disease on average, highlighting the importance of early recognition. The most common autoantibody associated with this presentation was RNA polymerase III. These results should be considered in efforts to recognize SSc in its earliest stages. Puffy fingers/hands, even in the absence of RP, should prompt consideration of early SSc and testing for ANA and SSc‐associated autoantibodies, including RNA polymerase III.

Abstract Introduction: High-grade gliomas (HGG) are aggressive brain tumors with heterogeneous cell populations, including invasive regions driving disease progression and recurrence. Our previous work integrated molecular profiling with spatially matched advanced multiparametric MRI in a cohort of HGG patients with multi-regional sampling, uncovering distinct biological signatures linked to individual advanced MRI phenotypes. Yet, the relationships between MRI phenotypes—and how this potentially informs underlying biology—remains unexplored. Here, we leverage an unsupervised approach to dimensional reduction for a broad array of MRI features and compare regional transcriptomic signatures in a cohort of image-localized HGG samples. Methods: From our existing data, we selected 20 HGG patients with 73 multi-regional tumor biopsies, each including 18 advanced MRI parameter calculations. With an iterative approach, data was projected using uniform manifold approximation (UMAP) at multiple resolutions and clustered, producing high-confidence stable clusters. We used random forest modeling to assess cluster associations with previously identified signatures. Cluster-specific transcriptomic profiles were detected by DESeq2 and subsequent gene-set enrichment analysis. We further evaluated Pearson correlations and statistical fit with MRI image parameters by performing pathway analysis on genes with significant correlations by image feature, across clusters. Results: 8 clusters emerged from our analyses. Most advanced MRI features exhibited statistically significant differences across clusters, forming unique patterns of feature behavior. Notably, while these image-based clusters did not correlate well with metabolic profiles, contrast enhancement, or genomics, they did demonstrate distinct and HGG-relevant transcriptomic profiles, with shared and divergent signatures. Across clusters, we also identified several correlations between specific MRI parameters and gene pathway trends. These highlighted combined patterns of multiple MRI features, offering a spectrum of regional phenotypes imperceptible with single feature analysis. We generalize these results to an image-based decision matrix to detect biologic signatures for validation. Conclusion: Our integrative analysis of MRI mapping stratifies imaged-based patterns to non-invasively assess molecular signatures within HGG. This approach will help elucidate MRI biomarkers that may predict glioma behavior and support future individualized treatment approaches. Citation Format: Matthew W. Kenaston, Matthew Flick, Kasthuri Kannan, Michele Ceccarelli, Nhan Tran, Leland S. Hu. Integrative analysis of regional MRI phenotypes in high-grade glioma: Dimensional reduction of multi-omics imaging and molecular profiles [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2025; Part 1 (Regular Abstracts); 2025 Apr 25-30; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2025;85(8_Suppl_1):Abstract nr 5776.

Background: As the surgical repertoire for the management of sinonasal tumors evolves over time, an improved understanding of risks for postoperative complications is imperative. Objectives: To identify factors associated with 30-day postoperative complications following the resection of sinonasal tumors. Methods: The National Surgical Quality Improvement Program (NSQIP) database was queried from 2005 to 2020 for patients undergoing open or endoscopic surgical resection of sinonasal tumors. A Cox proportional hazards model was used to identify factors associated with postoperative complications. Kaplan–Meier survival analyses and log-rank tests were used to compare time to complication onset. Frailty was defined as a 5-factor modified frailty index score > 2. Results: Of the 859 patients with sinonasal tumors, 539 (62.7%) were male, and the average age (± SD) was 59.3 ± 14.1 years. Postoperative complications were observed in 251 (29.2%) patients. The most common 30-day complications were bleeding requiring transfusions (n = 172; 20.0%) and ventilation longer than 48 h (n = 37; 4.3%). Frailty (aHR [95% CI]: 3.58 [1.80–7.12]), malignancy (3.43 [1.59–7.38]), and maxillary tumor location (2.40 [1.86–3.09]) were associated with greater risk for 30-day postoperative complications. Similarly, patients with frailty (χ2 = 7.0; p = 0.008), malignant tumors (χ2 = 13.4; p < 0.001), or maxillary sinus tumors (χ2 = 34.6; p < 0.001) experienced earlier onset of postoperative complications. Conclusions: Frailty, malignancy status, and tumor location may modulate risk for 30-day postoperative complications following the resection of sinonasal tumors. These results may help to inform preoperative patient counseling and identify individuals at increased risk of postoperative complications.

Abstract Objectives To determine the efficacy, safety and pharmacodynamics of belumosudil in patients with diffuse cutaneous systemic sclerosis (dcSSc) treated with background immunosuppressive therapies. Methods Eligible patients were randomised 1:1:1 to receive belumosudil 200 mg once daily (QD) or twice daily (BID), or placebo for 28 weeks (double-blind period). After unblinding, the patients who received belumosudil continued the same dose, whereas the patients who received placebo were re-randomised for one of the belumosudil doses for 24 weeks (open-label extension). Results Thirty-five and 31 patients were treated in the double-blind and open-label periods, respectively. The study was terminated prematurely, and target enrolment was not met. The primary end point, of CRISS score ≥0.60 at week 24, did not exhibit an efficacy signal in the belumosudil vs placebo groups [odds ratio: 1.06 (0.19–5.82; P = 0.9472) for the QD, and 0.39 (0.07–2.35; P = 0.3078) for the BID group]. Belumosudil was well tolerated and exhibited similar safety profiles in both double-blind and open-label periods. Tissue-based RNA sequencing analysis revealed FOXP3 upregulation and STAT3, IL23A and TGF-β downregulation in patients with CRISS score ≥0.60, which supported the mechanism of action of belumosudil. In blood and tissue samples, trends of decreased fibrosis biomarker levels were seen in the belumosudil-treated group vs placebo. Conclusion Efficacy signal for belumosudil could not be detected. Signalling pathway modulation analysis supported the mechanism of action of belumosudil. A trend for decreased fibrosis-related biomarkers was observed in the belumosudil-treated group. Trial registration ClinicalTrials.gov, https://clinicaltrials.gov, NCT03919799.