Citations

Abstract A working group of cIMPACT-NOW evaluated the literature on IDH-mutant gliomas for opportunities to improve pathology-based risk stratification and grading, especially at the interface of CNS WHO grades 2 and 3, since therapeutic decisions depend on risk assessment for clinical management. The group also evaluated newly described IDH-mutant glioma subgroups and considered multidisciplinary aspects of therapeutic decision-making. PDGFRA amplification was associated with highly aggressive clinical behavior of IDH-mutant astrocytomas, consistent with CNS WHO grade 4. Other genetic alterations associated with intermediate risk and most consistent with CNS WHO grade 3 included PIK3 mutations; EGFR alteration; MYCN amplification; and specific retinoblastoma pathway alterations, including CDK4, CDK6, and CCND2 amplification, RB1 homozygous deletion or mutation, and mutation of CDKN2A. DNA methylation signatures of G-CIMP-low or A_IDH_HG were consistent with CNS WHO grade 3 or 4, depending upon other grading criteria. We suggest a mitotic count of ≥3 per 2.4 mm2 could be considered as a CNS WHO grade 3 criterion. Our review did not uncover features to improve the grading of oligodendroglioma, IDH-mutant and 1p/19q-codeleted, although CNS WHO grade 3 tumors with elevated mitotic rates, yet lacking necrosis, microvascular proliferation, CDKN2A/B homozygous deletion, and MRI contrast enhancement, may be associated with extended survival. Implementing evidence-based criteria for risk stratification and grading will improve guidance for clinical decision-making.

Abstract Background Meningiomas exhibit clinical heterogeneity. Radiotherapy (RT) remains the only adjuvant therapy, but tumor-control is variable, and biomarkers are limited. NRG/RTOG-0539 is the first prospective phase 2 trial to stratify meningioma patients for adjuvant RT based on clinical risk. Here, we apply modern molecular tools to this cohort and identify correlates of RT response. Methods Tumor tissue from 100 RTOG-0539 patients was profiled using DNA methylation arrays, RNA sequencing, and whole-exome sequencing. Recurrence scores, Molecular Groups, gene expression, and copy number alterations were compared across clinical groups and between RT responders and non-responders; non-response was defined as progression or death within 3 years. Results Modern grading criteria, including brain invasion, TERT mutation, CDKN2A/B deletion, and 1p/1q status, would reclassify 10% of tumors and alter treatment group assignment in 7%. Non-responders to RT exhibited more frequent 1p and 14q loss, and more copy number alterations. Transcriptomic and epigenetic profiling revealed immune-related signatures in responders and cell cycle–related pathways in non-responders, several of which overlapped with targets of vorinostat, a histone deacetylase inhibitor previously validated in aggressive meningioma models. The Proliferative Molecular Group was an independent predictor of post-RT recurrence in multivariable analysis, outperforming WHO grade. Conclusion Multi-omic analysis of the NRG/RTOG-0539 cohort shows that updated WHO grading criteria, incorporating molecular and cytogenetic features, improve risk stratification. However, molecular classification, particularly the Proliferative group, remains an independent and stronger predictor of RT response. These findings support integrating molecular biomarkers alongside modern grading frameworks to guide treatment and trial design in meningioma. Clinical Trial Information NCT00895622.

ABSTRACT Multistate models offer a powerful framework for studying disease processes and can be used to formulate intensity‐based and more descriptive marginal regression models. They also represent a natural foundation for the construction of joint models for disease processes and dynamic marker processes, as well as joint models incorporating random censoring and intermittent observation times. This article reviews the ways multistate models can be formed and fitted to life history data. Recent work on pseudo‐values and the incorporation of random effects to model dependence on the process history and between‐process heterogeneity are also discussed. The software available to facilitate such analyses is listed.

Background SGLT2 (sodium‐glucose cotransporter 2) inhibitors reduce major adverse cardiovascular events (MACE) in type 2 diabetes. However, no direct comparison of individual SGLT2 inhibitor drugs has been conducted, particularly among adults with moderate cardiovascular risk who comprise most people with type 2 diabetes. Methods We used data for commercial, Medicare Advantage, and Medicare fee‐for‐service beneficiaries to emulate a target trial of adults (≥21 years) with type 2 diabetes and moderate cardiovascular risk who started canagliflozin, dapagliflozin, or empagliflozin between 2015 and 2020. We estimated propensity scores using the super learner ensemble method and incorporated them as inverse probability of treatment weights into Cox models, estimating risk of MACE, expanded MACE, and hyperglycemic and hypoglycemic crises through December 31, 2022. Results The weighted cohort, balanced on all baseline covariates, included 137 232 patients (mean age 65.7 years [SD, 8.1], 75.3% non‐Hispanic White, 57.0% male, 81.9% on metformin, 11.4% on glucagon‐like peptide‐1 receptor agonists) starting canagliflozin (N=42 877), dapagliflozin (N=17 871), or empagliflozin (N=7648). The risk of MACE was lower among patients starting empagliflozin versus canagliflozin (hazard ratio [HR], 0.92 [95% CI, 0.87–0.97]), driven by reduced risk of all‐cause mortality (HR, 0.86 [95% CI, 0.80–0.94]). There was no difference in MACE between empagliflozin versus dapagliflozin or dapagliflozin versus canagliflozin therapy. There was no difference in remaining outcomes between the three drugs. Conclusions The 3 most used SGLT2 inhibitor medications demonstrate similar effectiveness on cardiovascular outcomes among patients with type 2 diabetes at moderate cardiovascular risk, with differences between these drugs small in magnitude. Clinicians and health systems should prioritize enhancing access to these cardioprotective therapies.

The NCCN Guidelines for Bladder Cancer provide strategies for the diagnosis, treatment, and follow-up of patients with bladder cancer, which is the sixth most common cancer in the United States. Bladder cancer can be divided into 3 categories along a clinical spectrum: (1) non–muscle-invasive bladder cancer; (2) muscle-invasive bladder cancer; and (3) metastatic bladder cancer, with most patients falling into the category of non–muscle-invasive disease. Thus, the selected content featured in this issue specifically covers the clinical presentation and workup of and subsequent management recommendations for non–muscle-invasive bladder cancer.

The NCCN Guidelines for Prostate Cancer include recommendations for staging and risk assessment after a prostate cancer diagnosis and for the care of patients with localized, regional, recurrent, and metastatic disease. These NCCN Guidelines Insights summarize the panel’s discussions on select 2026 updates to the guidelines regarding nonmetastatic disease: the elimination of the very-low-risk group, updates to the Principles of Active Surveillance, and caution in the use of focal therapy in newly diagnosed patients.

Abstract Background T cell activation and polarization drive atherosclerosis. Among the mediators underlying T cell polarization, the epigenetic enzyme EZH2 catalyses the repressive mark H3K27me3. In humans, EZH2 is upregulated in T cells in advanced atherosclerosis, whereas its deficiency in T cells in mice limits plaque formation via an anti-inflammatory response. Emerging evidence indicates that EZH2 can also regulate lncRNAs and miRNAs by depositing H3K27me3 at their loci, repressing transcription. Purpose We hypothesize that EZH2 governs lncRNAs and miRNAs expression in T cells in the context of atherogenesis. Methods CD4+ T cells were isolated from spleens of atherosclerosis-prone T cell-specific Ezh2 (Ezh2cd4)-KO mice and WT littermates. Small RNA-seq (SMARTer® smRNA-Seq) and transcriptomic profiling (Prime-seq) were performed. Differential expression was assessed using edgeR. Selected miRNAs were validated by RT-qPCR. Putative miRNA targets were retrieved from miRTarBase (v. 8) and TargetScan, and gene ontology enrichment was performed using Metascape. Results In CD4+ T cells from Ezh2cd4-KO mice, 41 out of 2,950 mature miRNAs were differentially expressed (log2FC > |0.8|, FDR < 0.05), with 27 upregulated and 14 downregulated. Top upregulated miRNAs included miR-125a-5p, miR-130a-3p, miR-744-5p, miR-181a-5p, miR-181b-5p, miR-374b-5p, miR-99b, miR-3085, and miR-7049-3p. RT-qPCR confirmed that expression of miR-125a-5p, miR-181a-5p, miR-181b-5p, and miR-99b-5p were upregulated in Ezh2-deficient murine CD4+ T cells. GO enrichment analysis of downregulated genes revealed enrichment of IL-4, IL-9, IL-10, and TGF-β pathways, suggesting their relevance in T-cell function and differentiation. In human Jurkat T cells, pharmacological EZH2 inhibition using GSK126 or tazemetostat resulted only in the upregulation of miR-125a-5p and miR-99b-5p, confirming the conservation of the mechanisms in humans. Integration of our Prime-seq transcriptomics and smallRNAseq datasets with human and mouse predicted and experimentally validated targets of miR-125a-5p and miR-99b-5p identified six conserved target genes: STAT1, FAM169B, NDRG3, PSMB9, TRIB1, and RAB3IP. Conclusions Our findings indicate that Ezh2 represses miRNA expression in T cells during atherogenesis, thereby possibly promoting differentiation toward pro-atherogenic subsets while restraining anti-atherogenic transcriptional programs. Further research is needed to elucidate the underlying mechanisms. Ezh2-regulated miRNAs may represent promising targets to direct T cell plasticity to combat atherosclerosis.