Dysfunction of degradation machineries causes cancers, including hepatocellular carcinoma (HCC). Overexpression of cyclin D1 in HCC has been reported. We previously reported that autophagy preferentially recruits and degrades the oncogenic miR-224 to prevent HCC. Therefore, in the present study we attempted to clarify whether cyclin D1 is another oncogenic factor selectively regulated by autophagy in HCC tumorigenesis. Initially, we found an inverse correlation between low autophagic activity and high cyclin D1 expression in the tumors of 147 HCC patients and three murine models, and these results taken together revealed a correlation with poor overall survival of HCC patients, indicating the importance of these two events in HCC development. We found that increased autophagic activity leads to cyclin D1 ubiquitination and selective recruitment to the autophagosome mediated by a specific receptor SQSTM1, followed by fusion with lysosome and degradation. Autophagy-selective degradation of ubiquitinated cyclin D1 through SQSTM1 was confirmed using cyclin D1-ubiquitin binding site (K_33-238R) and phosphorylation site (T286A) mutants, lentivirus-mediated silencing ATG5, ATG7, and Sqstm1 knockout cells. Functional studies revealed that autophagy-selective degradation of cyclin D1 plays suppressive roles in cell proliferation, colony, and liver tumor formation. Notably, an increase of autophagic activity by the pharmacological inducers (amiodarone and rapamycin) significantly suppressed tumor growth in both the orthotopic liver tumor and subcutaneous tumor xenograft models. Our findings provide evidence of the underlying mechanism involved in the regulation of cyclin D1 by selective autophagy to prevent tumor formation. Taken together, our data demonstrate that autophagic degradation machinery and the cell cycle regulator cyclin D1 are linked with HCC tumorigenesis. We believe these findings may be of value in the development of alternative therapeutics for HCC patients.

Purpose: Glioblastoma (GBM) is the most common and aggressive type of glioma and has the poorest survival. However, a small percentage of patients with GBM survive well beyond the established median. Therefore, identifying the genetic variants that influence this small number of unusually long-term survivors may provide important insight into tumor biology and treatment. Patients and Methods: Among 590 patients with primary GBM, we evaluated associations of survival with the 100 top-ranking glioma susceptibility single nucleotide polymorphisms from our previous genome-wide association study using Cox regression models. We also compared differences in genetic variation between short-term survivors (STS; ≤ 12 months) and long-term survivors (LTS; ≥ 36 months), and explored classification and regression tree analysis for survival data. We tested results using two independent series totaling 543 GBMs. Results: We identified LIG4 rs7325927 and BTBD2 rs11670188 as predictors of STS in GBM and CCDC26 rs10464870 and rs891835, HMGA2 rs1563834, and RTEL1 rs2297440 as predictors of LTS. Further survival tree analysis revealed that patients ≥ 50 years old with LIG4 rs7325927 (V) had the worst survival (median survival time, 1.2 years) and exhibited the highest risk of death (hazard ratio, 17.53; 95% CI, 4.27 to 71.97) compared with younger patients with combined RTEL1 rs2297440 (V) and HMGA2 rs1563834 (V) genotypes (median survival time, 7.8 years). Conclusion: Polymorphisms in the LIG4, BTBD2, HMGA2, and RTEL1 genes, which are involved in the double-strand break repair pathway, are associated with GBM survival.

Background: Information about known risk factors for congenital heart disease is scarce. In this population-based study, we aimed to investigate the relation between maternal chronic disease and congenital heart disease in offspring. Methods: The study cohort consisted of 1 387 650 live births from 2004 to 2010. We identified chronic disease in mothers and mild and severe forms of congenital heart disease in their offspring from Taiwan’s National Health Insurance medical claims. We used multivariable logistic regression analysis to assess the associations of all cases and specific types of congenital heart disease with various maternal chronic diseases. Results: For mothers with the following chronic diseases, the overall prevalence of congenital heart disease in their children was significantly higher than for mothers without these diseases: diabetes mellitus type 1 (adjusted odds ratio [OR] 2.32, 95% confidence interval [CI] 1.66–3.25), diabetes mellitus type 2 (adjusted OR 2.85, 95% CI 2.60–3.12), hypertension (adjusted OR 1.87, 95% CI 1.69–2.07), congenital heart defects (adjusted OR 3.05, 95% CI 2.45–3.80), anemia (adjusted OR 1.31, 95% CI 1.25–1.38), connective tissue disorders (adjusted OR 1.39, 95% CI 1.19–1.62), epilepsy (adjusted OR 1.37, 95% CI 1.08–1.74) and mood disorders (adjusted OR 1.25, 95% CI 1.11–1.41). The same pattern held for mild forms of congenital heart disease. A higher prevalence of severe congenital heart disease was seen only among offspring of mothers with congenital heart defects or type 2 diabetes. Interpretation: The children of women with several kinds of chronic disease appear to be at risk for congenital heart disease. Preconception counselling and optimum treatment of pregnant women with chronic disease would seem prudent.

Chronic indwelling urinary catheters (CIDCs) are known as a risk factor for bladder cancer in patients with spinal cord injury (SCI). This study examined the potential risk of bladder cancer from CIDCs in patients without SCI.The National Health Insurance Research Database in Taiwan was used to identify SCI patients (N = 1816). This group was compared against a control CIDC cohort without SCI (N = 1816) and a reference cohort with normal individuals without SCI and a record of CIDC (N = 7264). Comparisons were made based on age and gender matching over a maximum of 11 follow-up years. The incidence risk and hazard ratio (HR) of bladder cancer were estimated in all 3 groups.During the follow-up period, the bladder cancer incidence rates were 68.90 and 102.53 per 100,000 person-years in the SCI and CIDC-non-SCI groups, respectively. These values were both higher than that of the reference cohort (12.00 per 100,000 person-years). Patients who had history of SCI (HR: 6.51; 95% CI, 2.56-16.52) or CIDC without SCI (HR: 9.11; 95% CI, 3.9-21.29) had a higher risk of bladder cancer compared with the reference cohort.Patients with CIDCs may have an increased risk of bladder cancer development, especially in older aged and male patients compared with general population.

This study aimed to investigate the performance of innovative and traditional cardiometabolic indices, including body mass index (BMI), waist circumference (WC), Chinese visceral adiposity index (CVAI), visceral adiposity index, lipid accumulation product, a body shape index (ABSI), body roundness index, conicity index (CI), triglyceride-glucose (TyG) index, TyG-BMI, and TyG-WC, in estimating atherosclerotic cardiovascular disease (ASCVD) risk in 3143 Taiwanese adults aged 20–79 years. Elevated 10-year ASCVD risk was defined as ≥7.5% using the Pooled Cohort Equations. The performance of different indices in estimating elevated ASCVD risk was assessed by receiver operating characteristic (ROC) curves. In multivariate-adjusted logistic regression analyses, all cardiometabolic indices (p-value < 0.001) were significantly associated with elevated ASCVD risk in both genders, except for ABSI and CI in women. In particular, CVAI had the largest area under the curve (AUC) in men (0.721) and women (0.883) in the ROC analyses. BMI had the lowest AUC in men (0.617), while ABSI had the lowest AUC in women (0.613). The optimal cut-off value for CVAI was 83.7 in men and 70.8 in women. CVAI performed best among various cardiometabolic indices in estimating elevated ASCVD risk. CVAI may be a reliable index for identifying people at increased risk of ASCVD.