Citations

484 Background: The histopathological growth patterns (HGPs) of liver metastasis reflect the complicated and varied interactions between tumor cells and the host microenvironment. We studied HGPs of gastric cancer liver metastasis (GCLM) and sought to predict them using radiomic and clinical variables. Methods: Hepatectomy was performed in 62 patients with GCLM at our university hospital between 2011 and 2021. HGPs were evaluated according to international consensus guidelines, and were classified as either desmoplastic HGP (dHGP) or non-dHGP. CD4, CD8, VEGF and CD31 were analyzed by immunohistochemistry. Eight hundred and fifty-one radiomics features were extracted from CT portal venous phase images and the optimal radiomics signature was determined by univariate analysis and LASSO regression. Multivariable regression analyses and ROC curves were used to assess the predictive performance of HGPs with a radiomic and clinical combined model. Results: Among 62 patients, 14 were categorized as dHGP, and 48 as non-dHGP. Non-dHGP vs. d-HGP was associated with higher tumor N stage and CEA level, and with decreased CD8 + T cells, and lower VEGF and CD31 expression. HGP status was independently associated with patient cancer-specific survival (CSS) (P＜0.05) multivariately.Analysis of percent relative contribution revealed that HGP ranked first for CSS (35.9%), ahead of T (28.9%) and N (28.9%) stage. A model with combined radiomic and clinical features demonstrated robust performance with area under the curve (AUC) values of 0.993 and 0.933 in the training and validation sets, respectively. Conclusions: Non-invasive determination of radiomic and clinical features was shown to predict HGPs types. Compared to dHGP, GCLM with non-dHGP exhibited significantly lower immune cell infiltration and decreased angiogenesis. Among features examined in GCLM, HGP was the most robust for prognostication. Univariate and multivariate analysis of prognostic factors for cancer-specific survival. Characteristics Univariate analysis Multivariate rergression analysis HR (95%CI) P HR (95%CI) P Gender ( Women vs Men ) 1.13(0.61-2.09) 0.71 Age ( >60years vs ≤60years) 1.08(0.60-1.70) 0.98 HGP ( non-desmoplastic HGP vs desmoplastic HGP ) 3.63(1.78-7.41) 0.00 3.48(1.37-8.88) 0.01 T stage ( T3-T4 vs T1-T2 ) 2.03(1.08-3.80) 0.03 2.29(1.15-4.58) 0.02 N stage ( N1-N3 vs N0 ) 3.46(1.66-7.23) 0.00 2.54(1.17-5.56) 0.02 CEA ( >5ng/ml vs ≤5ng/ml ) 2.37(1.25-4.48) 0.01 1.56(0.70-3.48) 0.27

483 Background: Heterogeneity exists in recurrence and survival among patients with intestinal-type gastric cancer (IGC). Nucleotyping is the alterations in chromatin organization. We sought to identify the prognostic utility of nucleotyping, tumor stroma ratio (TSR) and DNA ploidy in these patients. Methods: Radical resection of gastric carcinoma (> 15 LNs removed) was performed in 283 patients (stage I, n=73; stage II, n=102; stage III, n=108) at our university hospital between 2010 and 2018. Automated image cytometry tools were used to quantitatively measure nucleotyping, TSR and DNA ploidy. Cutpoints of nucleotyping and TSR were 0.044 and 50%, respectively. Associations of these features with clinicopathological characteristics, time-to-recurrence (TTR) and cancer specific survival (CSS) were analyzed by univariate and multivariate analysis. Results: Among 283 patients, chromatin heterogeneity, high TSR and non-diploid were significantly associated with larger tumor size, higher T and N stage, and poorer TTR and CSS at 5 years. In a Cox multivariable analysis, nucleotyping and TSR were independently associated with TTR and CSS (P＜0.05) (Table). The top three contributors to TTR were N stage (33.9%), nucleotying (29.7%) and TSR (25.5%). The top three contributors to CSS were N stage (35.6%), nucleotying (29.7%) and TSR (18.0%). As a combined variable, the percent relative contribution of nucleotyping and TSR ranked first for TTR and CSS (56.0%, 50.0%), ahead of N stage (33.4%, 34.6%) and TILs (8.4%, 10.6%). Conclusions: Nucleotyping and TSR were each significantly and independently associated with TTR and CSS, and their combined variable was more strongly prognostic than either alone. Cox multivariable analysis of TTR and CSS. Features TTR HR (95%CI) TTR P value CSS HR (95%CI) CSS P value Tumor size (>3cm vs ≤3cm) 1.10 (0.48-2.54) 0.83 0.77 (0.35-1.70) 0.56 T stage (T3-T4 vs T1-T2) 1.07 (0.46-2.49) 0.87 1.41 (0.53-3.76) 0.49 N stage (N2N3 vs N0N1) 2.84 (1.39-5.78) <0.01 7.69 (3.37-17.55) <0.01 Adjuvant Therapy (with vs without) 1.32 (0.72-2.40) 0.37 0.85 (0.48-1.52) 0.59 TB (high vs low) 1.29 (0.62-2.69) 0.50 1.61 (0.85-3.07) 0.15 TILs（low vs high） 1.73 (0.96-3.13) 0.07 1.90 (1.06-3.40) 0.03 Nucleotyping (Chromatin heterogeneous vs Chromatin homogeneous) 2.19 (1.21-3.99) 0.01 3.44 (1.96-6.03) <0.01 TSR (high vs low) 2.12 (1.16-3.82) 0.01 2.51 (1.43-4.41) <0.01 DNA ploidy (Non-diploid vs Diploid) 1.20 (0.55-2.63) 0.65 0.98 (0.44-2.15) 0.95 1 TTR, time-to-recurrence; 2 CSS, cancer specific survival.

AbstractBackgroundProgressive supranuclear palsy (PSP) is a neurodegenerative disorder involving pathological deposition of tau that includes glial inclusions and specific regional vulnerability patterns. Therapeutic developments are hampered by incomplete understanding of disease mechanisms. Few studies have examined its cell type‐specific effects. We performed RNA‐sequencing in a large cohort of PSP patients and controls to understand molecular pathways disrupted across prefrontal cortex and caudate nucleus in PSP. We also performed multi‐omic single‐nucleus sequencing to deconvolute cell type‐specific changes.MethodRNA‐sequencing was conducted in 250 PSP patients and age‐ and sex‐matched controls, with a subset (N = 23) undergoing multi‐omic single‐nucleus RNA‐sequencing and ATAC‐sequencing (10x Genomics). Sequencing data was aligned to GRCh38 and quantified using STAR and RSEM (RNA‐seq) and CellRanger (single‐nucleus) and corrected for technical and biological covariates. Differential expression was calculated with Dream (RNA‐seq) and Dreamlet (single‐nucleus sequencing), and co‐expression network analysis (WGCNA) used to extract disease‐relevant gene modules.ResultRNA‐sequencing analysis identified ∼4000 differentially expressed genes in both brain regions. Despite differences in cellular composition and degree of disease impact, both regions share patterns of dysregulation related to protein folding and processing, indicating common pathological mechanisms. Differences between the regions includes disruption of cellular homeostasis and intracellular trafficking in caudate, while prefrontal cortex shows suppression of metabolic processes and immune response. Preliminary findings from the single cell genomic analyses suggest the greatest changes occur in neurons of both regions, where there is a shared pattern of protein processing dysregulation and a distinct enrichment in metabolic processing within prefrontal cortex interneurons.ConclusionWe identified thousands of dysregulated genes in two impacted brain regions in PSP and show that this dysregulation is reflected in specific neuronal populations in these regions. Identifying regional and specific cell type‐specific mechanisms related to PSP will further our understanding of causative disease mechanisms and provide new avenues for therapeutic developments.

ABSTRACT Background: Neutrophil extracellular traps (NETs), and its formation and release, known as NETosis, may play a role in the initiation of thrombin generation (TG) in trauma. The objective of this study was to assess whether trauma patients, who develop symptomatic venous thromboembolism (VTE), have increased levels of plasma citrullinated histone H3 (CitH3) and accelerated TG kinetics. Methods: Patients presenting to a level I trauma center as trauma activations had samples collected within 12 h of time of injury, alongside healthy volunteers (HV). CitH3 was measured by enzyme-linked immunosorbent assay, and TG data were measured using a TG analyzer, comparing results between patients developing symptomatic VTE versus those who did not, within 90 days of injury. Data were expressed as median and quartiles (Q1, Q3), and tested using Wilcoxon rank-sum or Fisher’s exact test, or 1-sample test of Spearman’s correlation, P < 0.05 considered significant. Results: 39 trauma patient samples were analyzed (10 with and 29 without VTE), and compared to 15 HV samples. CitH3 levels in patients who developed VTE were significantly greater as compared to those who did not (12.8 ng/mL [7.1, 30.8]; 3.0 ng/mL [1.8,6.8], P = 0.024), with levels in both groups greater compared to HV (1.2 [0.3, 4.1], P = 0.003, P = 0.012), respectively. TG profiles were accelerated in patients developing VTE, with differences in peak height (337.6 nM [304.4, 356.0]; 231.8 nM [180.2, 281.8], P = 0.008), endogenous thrombin potential (1718.5 nM*min [1,500, 1794]; 1208.5 nM*min [1,072, 1,417], P = 0.003) and velocity index (213.2 nM/min [162.3, 260.5]; 124.3 nM/min [93.2, 223.1], P = 0.03), respectively. Conclusion: Trauma patients developing VTE exhibit increased NETosis, measured by increased CitH3 levels and accelerated TG early after injury, outlining an area for further understanding VTE after trauma.

Background/Objectives: It is often challenging for patients to understand treatment options, their mechanisms of action, and the potential side effects of each treatment option for glomerular disorders. This study explored the ability of ChatGPT to simplify these treatment options to enhance patient understanding. Methods: GPT-4 was queried on sixty-seven glomerular disorders using two distinct queries for a general explanation and an explanation adjusted for an 8th grade level or lower. Accuracy was rated on a scale of 1 (incorrect) to 5 (correct and comprehensive). Readability was measured using the average of the Flesch–Kincaid Grade (FKG) and SMOG indices, along with the Flesch Reading Ease (FRE) score. The understandability score (%) was determined using the Patient Education Materials Assessment Tool for Printable Materials (PEMAT-P). Results: GPT-4’s general explanations had an average readability level of 12.85 ± 0.93, corresponding to the upper end of high school. When tailored for patients at or below an 8th-grade level, the readability improved to a middle school level of 8.44 ± 0.72. The FRE and PEMAT-P scores also reflected improved readability and understandability, increasing from 25.73 ± 6.98 to 60.75 ± 4.56 and from 60.7% to 76.8% (p < 0.0001 for both), respectively. The accuracy of GPT-4’s tailored explanations was significantly lower compared to the general explanations (3.99 ± 0.39 versus 4.56 ± 0.66, p < 0.0001). Conclusions: ChatGPT shows significant potential for enhancing the readability and understandability of glomerular disorder therapies for patients, but at a cost of reduced comprehensiveness. Further research is needed to refine the performance, evaluate the real-world impact, and ensure the ethical use of ChatGPT in healthcare settings.

Abstract Background The majority of patients with prostate cancer (PCa) exhibit intrinsic resistance to immune checkpoint blockade (ICB) following radiotherapy (RT). This resistance is generally attributed to the limited antigen presentation of heterogeneous cells within tumors. Here, we aimed to isolate and characterize these diverse subgroups of tumor post‐RT to understand the molecular mechanisms of their resistance to ICB. Methods Single‐cell RNA‐sequencing (scRNA‐seq) was used to profile senescent cancer cell clusters induced by RT in LNCaP cells. The expression and phosphorylation levels of ataxia telangiectasia and Rad3‐related protein (ATR) were assessed by immunohistochemistry in clinical samples from patients with or without RT. Co‐immunoprecipitation, mutagenesis, and Western blotting were used to measure the interactions between proteins. Xenograft experiments were performed to assess the tumor immune response in the mice. Results We identified a subset of PCa cells that exhibited resistance to RT, characterized by a reduced antigen presentation capability, which enhanced their ability to evade immune detection and resist cytotoxic T‐lymphocyte‐associated protein 4 (CTLA‐4) blockade. scRNA‐seq revealed that the senescent state was a transient phase of PCa cells post‐RT, particularly in CTLA‐4 blockade treatment‐resistant cells. This state was marked by increased cytosolic ATR level. Cytosolic ATR phosphorylated CD86 in its cytosolic domain and enhanced the interaction between CD86 and its E3 ligase MARCH1 through electrostatic attraction. Depletion or inhibition of Atr increased the sensitivity to immune attack and improved responses to anti‐Ctla‐4 antibody treatment in a mouse model. Conclusions Our findings indicate that the activation of cytosolic ATR, which is associated with cellular senescence, impedes the effectiveness of combined RT and ICB treatments. This discovery may provide valuable insights for improving the efficacy of combined RT and ICB therapies in PCa.