Background: Feline mammary carcinoma (FMC) is one of the most prevalent malignancies of female cats. FMC is highly metastatic and thus leads to poor disease outcomes. Among all metastases, liver metastasis occurs in about 25% of FMC patients. However, the mechanism underlying hepatic metastasis of FMC remains largely uncharacterized. Results: Herein, we demonstrate that FMC-derived extracellular vesicles (FMC-EVs) promotes the liver metastasis of FMC by activating hepatic stellate cells (HSCs) to prime a hepatic premetastatic niche (PMN). Moreover, we provide evidence that sphingosine kinase 1 (SK1) delivered by FMC-EV was pivotal for the activation of HSC and the formation of hepatic PMN. Depletion of SK1 impaired cargo sorting in FMC-EV and the EV-potentiated HSC activation, and abol‑ ished hepatic colonization of FMC cells. Conclusions Taken together, our findings uncover a previously uncharacterized mechanism underlying liver-metas‑ tasis of FMC and provide new insights into prognosis and treatment of this feline malignancy.

Objective: To compare the prognosis of mildly or severely symptomatic patients with obstructive hypertrophic cardiomyopathy (OHCM) who underwent alcohol septal ablation (ASA). Methods: This retrospective study cohort consisted of patients with OHCM who received ASA treatment in Beijing Anzhen Hospital, Capital Medical University from March 2001 to August 2021. These patients were divided into mildly and severely symptomatic groups according to the severity of clinical symptoms. Long-term follow-up was conducted, and the following data were collected: duration of follow-up, postoperatire treatment, New York Heart Association (NYHA) classification, arrhythmia events and pacemaker implantation, echocardiographic parameters, and cause of death. Overall survival and survival free from OHCM-related death were observed, and the improvement of clinical symptoms and resting left ventricular outflow tract gradient (LVOTG) and the incidence of new-onset atrial fibrillation were evaluated. The Kaplan-Meier method and log-rank test were used to determine and compare the cumulative survival rates of the different groups. Cox regression analysis models were used to determine predictors of clinical events. Results: A total of 189 OHCM patients were included in this study, including 68 in the mildly symptomatic group and 121 in the severely symptomatic group. The median follow-up of the study was 6.0 (2.7, 10.6) years. There was no statistical difference in overall survival between the mildly symptomatic group (5-year and 10-year overall survival were 97.0% and 94.4%, respectively) and the severely symptomatic group (5-year and 10-year overall survival were 94.2% and 83.9%, respectively, P=0.405); there was also no statistical difference in survival free from OHCM-related death between the mildly symptomatic group (5-year and 10-year survival free from HCM-related death were 97.0% and 94.4%, respectively) and the severely symptomatic group (5-year and 10-year survival free from HCM-related death were 95.2% and 92.6%, respectively, P=0.846). In the mildly symptomatic group, NYHA classification was improved after ASA (P<0.001), among which 37 patients (54.4%) were in NYHA class Ⅰ, and the resting left ventricular outflow tract gradient (LVOTG) decreased from 67.6 (42.7, 90.1) mmHg (1 mmHg=0.133 kPa) to 24.4 (11.7, 35.6) mmHg (P<0.001). In severely symptomatic group, NYHA classification was also improved post ASA (P<0.001), among which 96 patients (79.3%) improved by at least one NYHA classification, and the resting LVOTG decreased from 69.6 (38.4, 96.1) mmHg to 19.0 (10.6, 39.8) mmHg (P<0.001). The incidence of new-onset atrial fibrillation was similar between the mildly and severely symptomatic groups (10.2% vs. 13.3%, P=0.565). Cox multivariate regression analysis showed that age was an independent predictor of all-cause mortality in OHCM patients post ASA (HR=1.068, 95%CI 1.002-1.139, P=0.042). Conclusions: Among patients with OHCM treated with ASA, overall survival and survival free from HCM-related death were similar between mildly symptomatic group and severely symptomatic group. ASA therapy can effectively relieve resting LVOTG and improve clinical symptoms in mildly or severely symptomatic patients with OHCM. Age was an independent predictor of all-cause mortality in OHCM patients post ASA.
Humans ; Retrospective Studies ; Atrial Fibrillation ; Heart Septum/surgery* ; Treatment Outcome ; Cardiomyopathy, Hypertrophic/surgery*

Objective: To observe the therapeutic effects of alcohol septal ablation (ASA) in mildly symptomatic patients (NYHA class Ⅱ) with hypertrophic obstructive cardiomyopathy(HOCM). Methods: This retrospective study included 150 mildly symptomatic patients with HOCM hospitalized in Beijing Anzhen Hospital affiliated to Capital Medical University from March 2001 to December 2017, consisting of medical therapy group (n=102) and ASA group (n=48). Baseline clinical data were collected, patients were followed up to a mean of 6.0 (3.5, 8.1) years. Overall and HCM-related mortality events (including chronic heart failure, atrial fibrillation related stroke, sudden cardiac death) were observed in the two groups. Moreover, the improvement of NYHA function classification and left ventricular outflow tract gradient (LVOTG) were also evaluated. Survival analysis was performed by Kaplan-Meier method. Results: Age of this cohort was (52.9±14.5)years, 92 cases(61.3%) were male. In the follow-up, LVOTG was reduced from (85.8±35.4)mmHg (1 mmHg=0.133 kPa) to (27.7±19.8)mmHg (P<0.001) in the ASA group, and from (66.3±35.0)mmHg to (56.5±27.7)mmHg in medical therapy group(P<0.01). At the last clinical follow-up, there were 32 patients (66.7%) whose LVOTG were<30 mmHg, septal thickness decreased from (20.3±3.8)mm to (16.1±3.4)mm (P<0.001), NYHA classification was also remarkably improved (P<0.001). New-onset atrial fibrillation tended to be lower in the ASA group compared to medical therapy group (9.3%(4/43) vs. 20.8%(20/96),P=0.096). Eleven patients (10.8%) in the medical therapy group and 2 patients (4.2%) in the ASA group died during the follow-up. One patient received pacemaker during the peri-procedural period, 1 patient was implanted with two-chamber pacemaker due to Ⅲ° atrioventricular block at 10 years after operation in the ASA group. Survival free of all-cause mortality of ASA group at 5 and 10 years was 97.9% and 97.9%, respectively, which was comparable to the medical therapy group (P=0.231). Survival free of HCM-related mortality was similar between the two groups (P=0.397). Conclusions: Compared with medical therapy in mildly symptomatic patients with HOCM, long-term survival rate is similar after ASA. Meanwhile, ASA can remarkably reduce LVOTG and improve the clinical status of the patients. Therefore, ASA may be used as an alternative therapy for mildly symptomatic HOCM patients.
Atrial Fibrillation/drug therapy* ; Cardiomyopathy, Hypertrophic/therapy* ; Ethanol/therapeutic use* ; Heart Septum/surgery* ; Humans ; Male ; Retrospective Studies ; Treatment Outcome

Background/Aims: Nonalcoholic fatty liver disease (NAFLD) is closely associated with diabetes. The cumulative impact of both diseases synergistically increases risk of adverse events. However, present population analysis is predominantly conducted with reference to non-NAFLD individuals and has not yet examined the impact of prediabetes. Hence, we sought to conduct a retrospective analysis on the impact of diabetic status in NAFLD patients, referencing non-diabetic NAFLD individuals. Methods: Data from the National Health and Nutrition Examination Survey 1999–2018 was used. Hepatic steatosis was defined with United States Fatty Liver Index (US-FLI) and FLI at a cut-off of 30 and 60 respectively, in absence of substantial alcohol use. A multivariate generalized linear model was used for risk ratios of binary outcomes while survival analysis was conducted with Cox regression and Fine Gray model for competing risk. Results: Of 32,234 patients, 28.92% were identified to have NAFLD. 36.04%, 38.32% and 25.63% were non-diabetic, prediabetic and diabetic respectively. Diabetic NAFLD significantly increased risk of cardiovascular disease (CVD), stroke, chronic kidney disease, all-cause and CVD mortality compared to non-diabetic NAFLD. However, prediabetic NAFLD only significantly increased the risk of CVD and did not result in a higher risk of mortality. Conclusions Given the increased risk of adverse outcomes, this study highlights the importance of regular diabetes screening in NAFLD and adoption of prompt lifestyle modifications to reduce disease progression. Facing high cardiovascular burden, prediabetic and diabetic NAFLD individuals can benefit from early cardiovascular referrals to reduce risk of CVD events and mortality.

Background/Aims: Chronic hepatitis C (CHC) patients who failed antiviral therapy are at increased risk for hepatocellular carcinoma (HCC). This study assessed the potential role of metformin and statins, medications for diabetes mellitus (DM) and hyperlipidemia (HLP), in reducing HCC risk among these patients. Methods: We included CHC patients from the T-COACH study who failed antiviral therapy. We tracked the onset of HCC 1.5 years post-therapy by linking to Taiwan’s cancer registry data from 2003 to 2019. We accounted for death and liver transplantation as competing risks and employed Gray’s cumulative incidence and Cox subdistribution hazards models to analyze HCC development. Results: Out of 2,779 patients, 480 (17.3%) developed HCC post-therapy. DM patients not using metformin had a 51% increased risk of HCC compared to non-DM patients, while HLP patients on statins had a 50% reduced risk compared to those without HLP. The 5-year HCC incidence was significantly higher for metformin non-users (16.5%) versus non-DM patients (11.3%; adjusted sub-distribution hazard ratio [aSHR]=1.51; P=0.007) and metformin users (3.1%; aSHR=1.59; P=0.022). Statin use in HLP patients correlated with a lower HCC risk (3.8%) compared to non-HLP patients (12.5%; aSHR=0.50; P<0.001). Notably, the increased HCC risk associated with non-use of metformin was primarily seen in non-cirrhotic patients, whereas statins decreased HCC risk in both cirrhotic and non-cirrhotic patients. Conclusions Metformin and statins may have a chemopreventive effect against HCC in CHC patients who failed antiviral therapy. These results support the need for personalized preventive strategies in managing HCC risk.

Background/Aims: Despite the high efficacy of direct-acting antivirals (DAAs), approximately 1–3% of hepatitis C virus (HCV) patients fail to achieve a sustained virological response. We conducted a nationwide study to investigate risk factors associated with DAA treatment failure. Machine-learning algorithms have been applied to discriminate subjects who may fail to respond to DAA therapy. Methods: We analyzed the Taiwan HCV Registry Program database to explore predictors of DAA failure in HCV patients. Fifty-five host and virological features were assessed using multivariate logistic regression, decision tree, random forest, eXtreme Gradient Boosting (XGBoost), and artificial neural network. The primary outcome was undetectable HCV RNA at 12 weeks after the end of treatment. Results: The training (n=23,955) and validation (n=10,346) datasets had similar baseline demographics, with an overall DAA failure rate of 1.6% (n=538). Multivariate logistic regression analysis revealed that liver cirrhosis, hepatocellular carcinoma, poor DAA adherence, and higher hemoglobin A1c were significantly associated with virological failure. XGBoost outperformed the other algorithms and logistic regression models, with an area under the receiver operating characteristic curve of 1.000 in the training dataset and 0.803 in the validation dataset. The top five predictors of treatment failure were HCV RNA, body mass index, α-fetoprotein, platelets, and FIB-4 index. The accuracy, sensitivity, specificity, positive predictive value, and negative predictive value of the XGBoost model (cutoff value=0.5) were 99.5%, 69.7%, 99.9%, 97.4%, and 99.5%, respectively, for the entire dataset. Conclusions Machine learning algorithms effectively provide risk stratification for DAA failure and additional information on the factors associated with DAA failure.