Citations

ABSTRACTNodal follicular helper T‐cell (T FH) lymphoma of the angioimmunoblastic (AITL) subtype has a dismal prognosis. Using whole‐exome sequencing (n = 124), transcriptomic (n = 78), and methylation (n = 40) analysis, we identified recurrent mutations in known epigenetic drivers (TET2, DNMT3A, IDH2 R172 ) and novel ones (TET3, KMT2D). TET2, IDH2 R172 , DNMT3A co‐mutated AITLs had poor prognosis (p < 0.0001). Genes regulating T‐cell receptor (TCR) signaling (CD28, PLCG1, VAV1, FYN) or activation (RHOA G17V ) or regulators of the PI3K‐pathway (PIK(3)C members, PTEN, PHLPP1, PHLPP2) were mutated. CD28 mutation/fusion was associated with poor prognosis (p = 0.02). WES of purified, neoplastic T‐cell (CD3+PD1+) demonstrated high concordance with whole tumor biopsies and validated the presence of TET2 and DNMT3A in tumor and non‐lymphoid cells, but other mutations (CD28, RHOA G17V , IDH2 R172 , PLCG1) in neoplastic cells. Integrated DNA‐methylation and mRNA expression analysis revealed epigenetic alterations in genes regulating TCR, cytokines, PI3K‐signaling, and apoptosis. RNA‐seq analysis identified fusion transcripts regulating TCR‐activation (8%), revealed a restricted TCR‐repertoire (α = 87%, β = 72%), and showed the presence of Epstein–Barr virus transcriptome (73%). GEP demonstrated the association of B‐cells or dendritic cells in the tumor milieu with prognosis (p < 0.01). RNA‐seq and WES analysis of 12 AITL‐patient‐derived‐xenografts (PDX) showed that bi‐allelic TET2 and DNMT3A mutations or sub‐clonal mutations (PLCG1, PHLPP2) propagated in sequential passages, and gene signatures related to T FH and T CM (central‐memory) were well‐maintained through passages. Gene expression signatures associated with late PDX passages (3rd–5th) were enriched with proliferation and metabolic reprogramming‐related genes and predicted prognosis in an independent AITL series. Low PHLPP2 mRNA expression predicted poor prognosis (p = 0.05) and engineered PHLPP2 or TET2 loss in CD4+ T‐cells showed enhanced PI(3)K activation, thus uncovering a therapeutic target for clinical trials.

Background: How parental alcohol use disorder and liver disease-related mortality influence the risk and the outcomes of alcohol-associated hepatitis (AH) in the offspring is unknown. Methods: We analyzed data from 2 prospective observational studies of AH cases and heavy drinking controls (HDCs). Family history of parental alcohol use disorder and liver disease mortality was assessed at the study entry. Logistic regression and Cox proportional hazard models were used to assess the influences of family history on AH development and outcome. Results: Data from 1356 participants in two prospective cohorts (926 AH cases and 430 HDC) were combined and analyzed. Parental alcohol use disorder was found in 56.9% of AH cases and 61.1% of HDC; parental death due to liver disease was reported in 7.5% of AH cases and 5.7% of HDC. Multivariable logistic regression showed that parental liver disease-related mortality was associated with more than a doubled risk of AH development in the offspring after controlling for their demographic characteristics and drinking behavior (OR=2.26, 95% CI: [1.22, 4.20]). Moreover, among the AH cases, having a parent die of liver disease significantly increased the 90-day mortality of study participants after adjusting for the effects of other risk factors (HR=2.26, 95% CI: [1.05, 4.86]). Conclusions: The study highlights the influences of parental death due to liver disease on AH development and mortality. Identifying patients at risk of AH through family history might help facilitate discussions on reducing alcohol consumption.

Abstract Parkinson’s disease (PD) is the fastest growing neurodegenerative disease in the world 1 . Gastrointestinal (GI) dysfunction can occur decades before motor impairments and in up to 80% of individuals living with PD 2,3,4 . We investigated peripheral relationships that may underlie mechanisms along the gut-blood axis that contribute to PD pathogenesis. Single-cell multiomic spatial molecular imaging (SMI) of colonic tissue localized inflammatory injury within epithelial cells that appear to be associated with iron mishandling in both inflammatory bowel disease (IBD) and PD biosamples. We found that both the single-cell SMI of RNA and protein revealed parallel cross-modal dysregulation in the gut epithelium, in both IBD and PD biosamples. These data are accompanied by plasma (PD) and stool (IBD) protein depletion of CCL22. Our findings suggest iron mishandling along the gut barrier likely contributes to systemic inflammation, which may be the catalyst that primes circulating immune cells to body-first PD pathogenesis.

Abstract Introduction: Heme-binding biguanides inhibit cytochrome P450 monooxygenase-mediated biosynthesis of the epoxy fatty acid (EpFA) (±)14,15-EET, which promotes progression of ER+HER2- breast cancer as well as regulatory T cell (Treg) proliferation. However, there are no known strategies to exploit this vulnerability. Metformin has shown promise but lacks sufficient potency and clinical utility. Through structure-based design, heme binding hexyl cubane derivatives of metformin were identified, which potently inhibited (±)14,15-EET biosynthesis. Fluorination of the hexyl moiety improved pharmacokinetics (PK) and reduced toxicity. Among the fluorinated derivatives, C5F2-HCB potently inhibited (±)14,15-EET biosynthesis (IC50=3.1 uM for C5F2-HCB vs. 5 mM for metformin). C5F2-HCB and metformin are candidate agents for TME activation from “cold” to “hot” due to their inhibition of EETs biosynthesis and EET-driven oxidative phosphorylation (OXPHOS) which promotes tumor hypoxia. We then tested whether C5F2-HCB or metformin could inhibit immune exclusion in the immunologically “cold” ovarian dependent STAT1 KO SSM2ucd mammary carcinoma model, in part, by reducing Tregs and/or increasing CD8 or CD4 tumor infiltrating T cells (TIL). We hypothesized that biguanides, by reducing EETs, would suppress Tregs and promote effector T cells in the TME. We also hypothesized that C5F2-HCB would be more effective than metformin in modulating the TME, based on greater potency for inhibition of (±)14,15-EET biosynthesis. Both biguanides were tested at their maximum tolerated dose (C5F2-HCB; 18 mg/kg daily and metformin; 50 mg/kg every other day). Results: In the SSM2ucd allograft, all combination treatment groups with biguanides reduced tumor growth relative to the IgG control at the endpoint (day 63) : metformin + IgG (51.5±9.8% of control), C5F2-HCB + IgG (53.3±12.8%), metformin + anti-PD-1 (50.4±11.5%), and C5F2-HCB + anti-PD-1 (49.6±12.8%) [(P &lt; 0.05) for all comparisons]. In contrast, anti-PD-1 antibody alone failed to reduce tumor growth at the endpoint. Flow cytometry analysis of the TME revealed that only C5F2-HCB + IgG treatment increased CD8+ tumor-infiltrating lymphocytes (TILs) compared to all other treatment groups (&gt;2-fold; P &lt; 0.05). Additionally, only C5F2-HCB + anti-PD-1 reduced intratumoral Tregs (&gt;3-fold; P &lt; 0.05). C5F2-HCB in combination with IgG or anti-PD-1 reduced intratumoral macrophages by &gt;50% (P &lt; 0.001) and reduced the M2/M1 macrophage ratio by 32-61% (P &lt; 0.05) relative to other groups. No effects on CD4+ T cells were observed. Furthermore, C5F2-HCB and IgG or anti-PD-1 increased intratumoral neutrophils by 75- 120% compared to the anti-PD-1 or IgG (P &lt; 0.05). (Multiple comparisons tested by ANOVA). Conclusion: Relative to IgG alone, C5F2-HCB and metformin inhibited growth of the SSM2ucd allograft in combination with either anti-PD1 or IgG. In contrast to metformin, only C5F2-HCB modulated the TME, including increased CD8+ TILs with IgG, reduced Tregs with anti-PD-1, and decreased M2/M1 macrophage ratio with IgG and anti-PD-1. C5F2-HCB, in contrast tometformin, was effective in modulating an immune excluded TME and may contribute to a strategy for clinical translation. Citation Format: Zhijun Guo, Jianxun Lei, Joshua McCarra, Qing Cao, Michael J. Pryzbilla, Brenda Koniar, Beverly Norris, Robert J. Schumacher, Swaathi Jayaraman, John R. Hawse, Antonino B. D'Assoro, Ilia G. Denisov, Stephen G. Sligar, Kathryn L. Schwertfeger, Michael A. Farrar, Dipak Panigrahy, Hammock D. Bruce, Elizabeth A. Ambrose, Gunda I. Georg, Goetz P. Matthew, David A. Potter. C5F2-hexyl-(cuban-1-yl-methyl)-biguanide (C5F2-HCB) overcomes an immune excluded tumor microenvironment (TME) and suppresses tumor growth in the ovarian dependent ER+HER2- SSM2ucd mammary carcinoma allograft model [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2025; Part 2 (Late-Breaking, Clinical Trial, and Invited Abstracts); 2025 Apr 25-30; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2025;85(8_Suppl_2):Abstract nr LB010.

Intensive care units (ICUs) serve patients with life-threatening conditions. However, the availability of ICU resources remains scarce worldwide. Therefore, it is critical to conduct ICU outcome predictions at an early stage and promote efficient use of ICU resources. However, the current ICU outcome prediction methods have limitations such as unsatisfactory accuracy and dependence on resource-demanding laboratory tests or expert domain knowledge. In this research, we design a wavelet transform based additive convolutional neural network (WT-A-CNN) that requires only patients’ vital sign series and information at ICU admission for real-time ICU outcome predictions. The model is evaluated using a large real-world ICU database and outperforms state-of-the-art baselines on both ICU mortality and length-of-stay prediction tasks. Furthermore, the additive structure of the model can be used for model interpretation and analyzing which input signal is more useful for ICU outcome prediction for different patient cohorts. Our work provides an efficient tool for ICU outcome predictions, allowing healthcare providers to act promptly on patients at risk and reduce the negative impacts on patient outcomes.

ABSTRACT Understanding lung cancer evolution can identify tools for intercepting its growth. In a landscape analysis of 1024 lung adenocarcinomas (LUAD) with deep whole-genome sequencing integrated with multiomic data, we identified 542 LUAD that displayed diverse clonal architecture. In this group, we observed an interplay between mobile elements, endogenous and exogenous mutational processes, distinct driver genes, and epidemiological features. Our results revealed divergent evolutionary trajectories based on tobacco smoking exposure, ancestry, and sex. LUAD from smokers showed an abundance of tobacco-related C:G>A:T driver mutations in KRAS plus short subclonal diversification. LUAD in never smokers showed early occurrence of copy number alterations and EGFR mutations associated with SBS5 and SBS40a mutational signatures. Tumors harboring EGFR mutations exhibited long latency, particularly in females of European-ancestry (EU_N). In EU_N, EGFR mutations preceded the occurrence of other driver genes, including TP53 and RBM10. Tumors from Asian never smokers showed a short clonal evolution and presented with heterogeneous repetitive patterns for the inferred mutational order. Importantly, we found that the mutational signature ID2 is a marker of a previously unrecognized mechanism for LUAD evolution. Tumors with ID2 showed short latency and high L1 retrotransposon activity linked to L1 promoter demethylation. These tumors exhibited an aggressive phenotype, characterized by increased genomic instability, elevated hypoxia scores, low burden of neoantigens, propensity to develop metastasis, and poor overall survival. Re-activated L1 retrotransposition-induced mutagenesis can contribute to the origin of the mutational signature ID2, including through the regulation of the transcriptional factor ZNF695 , a member of the KZFP family. The complex nature of LUAD evolution creates both challenges and opportunities for screening and treatment plans.

Peroxisomes are vital but often overlooked metabolic organelles. We found that excessive interferon signaling remodeled macrophage peroxisomes. This loss of peroxisomes impaired inflammation resolution and lung repair during severe respiratory viral infections. Peroxisomes were found to modulate lipid metabolism and mitochondrial health in a macrophage type-specific manner and enhanced alveolar macrophage-mediated tissue repair and alveolar regeneration after viral infection. Peroxisomes also prevented excessive macrophage inflammasome activation and IL-1β release, limiting accumulation of KRT8 high dysplastic epithelial progenitors following viral injury. Pharmacologically enhancing peroxisome biogenesis mitigated both acute symptoms and post-acute sequelae of COVID-19 (PASC) in animal models. Thus, macrophage peroxisome dysfunction contributes to chronic lung pathology and fibrosis after severe acute respiratory syndrome coronavirus 2 infection.

Background: Very-late-onset myasthenia gravis (VLOMG) refers to myasthenia gravis (MG) with onset at age 65 or older. Current research on VLOMG prognosis remains limited, especially regarding factors influencing outcomes. Objectives: To identify the clinical factors that affect the short- and long-term prognosis of MG patients with an onset age ⩾65 years. Design: This was a single-center, retrospective cohort study of AChR-ab positive VLOMG patients, classified into two subgroups based on age of onset: sub-very-late-onset MG (S-VLOMG, onset age ⩾65 and <75 years), and super-late-onset MG (SLOMG, onset age ⩾75 years). Methods: A total of 93 patients were included, including 75 in the S-VLOMG group and 18 in the SLOMG group. Clinical, therapeutic, and prognosis data were reviewed, and the Cox regression model was used to identify factors influencing short- and long-term prognosis. Results: Patient characteristics were well balanced between the groups. Overall, 49.5% of patients achieved minimal symptom expression (MSE) within 6 months and 86% within 24 months. There was no significant difference between the groups in the proportion achieving MSE at 6 months ( p = 0.635) or 24 months ( p = 0.714). The median time to achieve MSE was also comparable between the S-VLOMG and SLOMG groups (199.0 days vs 280.5 days, p = 0.463). Low baseline MG-ADL score and steroid therapy were associated with better short-term prognosis ( p = 0.007 and p = 0.002, respectively). For long-term prognosis, baseline bulbar and limb involvement, time to treatment initiation, and use of immunosuppressants were significant factors ( p = 0.025, p = 0.004, p = 0.025, and p < 0.0001, respectively). There were no significant differences in side effects or drug withdrawal rates between two groups. Conclusion: This study demonstrated that AChR-ab positive VLOMG patients have a favorable prognosis and responded well to medication, with age and comorbidities showing no significant impact.

Abstract Attempts to activate an anti-tumor immune response in glioblastoma (GBM) have been met with many challenges due to its inherently immunosuppressive tumor microenvironment. The degree and mechanisms by which molecularly and phenotypically diverse tumor-propagating glioma stem cells (GSCs) contribute to this state are poorly defined. In this study, our multifaceted approach combining bioinformatics analyses of clinical and experimental datasets, single-cell sequencing, and molecular and pharmacologic manipulation of patient-derived cells identified GSCs expressing immunosuppressive effectors mimicking regulatory T cells (Tregs). We show that this I mmunosuppressive T reg- L ike (ITL) GSC state is specific to the mesenchymal GSC subset and is associated with and driven specifically by TGF-β type II receptor (TGFBR2) in contrast to TGFBR1. Transgenic TGFBR2 expression in patient-derived GBM neurospheres promoted a mesenchymal transition and induced a 6-gene ITL signature consisting of CD274 (PD-L1), NT5E (CD73), ENTPD1 (CD39), LGALS1 (galectin-1), PDCD1LG2 (PD-L2), and TGFB1. This TGFBR2-driven ITL signature was identified in clinical GBM specimens, patient-derived GSCs and systemic mesenchymal malignancies. TGFBR2 High GSCs inhibited CD4+ and CD8+ T cell viability and their capacity to kill GBM cells, effects reversed by pharmacologic and shRNA-based TGFBR2 inhibition. Collectively, our data identify an immunosuppressive GSC state that is TGFBR2-dependent and susceptible to TGFBR2-targeted therapeutics.