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le patients with normal ovarian reserve undergoing IVF as well as traditional protocols. Trial Registration Number ChiCTR-INR-17012089. Asunaprevir order Trial Registration Date Chictr.org.cn 23 July 2017. Date of First Patient’s Enrollment 1 August 2017. © 2020 Xi et al.Purpose The majority of acutely admitted older medical patients are multimorbid, receive multiple drugs, and experience a complex treatment regime. To be able to optimize treatment and care, we need more knowledge of the association between different patterns of multimorbidity and healthcare utilization and the complexity thereof. The purpose was therefore to investigate patterns of multimorbidity in a Danish national cohort of acutely hospitalized medical patients aged 65 and older and to determine the association between these multimorbid patterns with the healthcare utilization and complexity. Patients and Methods Longitudinal cohort study of 129,900 (53% women) patients. Latent class analysis (LCA) was used to develop patterns of multimorbidity based on 22 chronic conditions ascertained from Danish national registers. A latent class regression was used to test for differences in healthcare utilization and healthcare complexity among the patterns measured in the year leading up to the index admission. Results LCA identified eight distinct multimorbid patterns. Patients belonging to multimorbid patterns including the major chronic conditions; diabetes and chronic obstructive pulmonary disease was associated with higher odds of healthcare utilization and complexity than the reference pattern ("Minimal chronic conditions"). The pattern with the highest number of chronic conditions did not show the highest healthcare utilization nor complexity. Conclusion Our study showed that chronic conditions cluster together and that these patterns differ in healthcare utilization and complexity. Patterns of multimorbidity have the potential to be used in epidemiological studies of healthcare planning but should be confirmed in other population-based studies. © 2020 Juul-Larsen et al.Renal cell carcinoma (RCC) is a heterogeneous group of cancers where the clear cell (ccRCC) is the most common and the most lethal. The absence of accurate diagnostic and follow-up biomarkers along with the time-limited response to therapies may explain the lethality and shows the necessity of new sensitive and specific biomarkers. One of the most studied molecules are the telomeres specialized ribonucleoprotein structures that keep the structural integrity of the genome. Among other features, telomere length (TL) has been widely studied in several tumor models regarding its biomarker potential, due to the easy detection and quantification. The scope of this review was to analyze all the information about this parameter in RCC. There was some disparity in the results of the studies, since some pointed to an association between short TL and risk or poor outcome of RCC; others between long TL and RCC outcome and some did not find any association. We propose some epidemiological and biological explanations to these differences. The telomeres may play a dual role during RCC carcinogenesis in the early stages, short telomeres may increase RCC risk and in late carcinogenesis, long telomeres seem to be associated with tumor prognosis. However, the controversy of the results along with the lack of specificity are some problems that need to be clarified for the usage of TL as a prognostic biomarker. © 2020 Morais et al.Background Long noncoding RNAs (lncRNAs) play critical and complex roles in regulating various biological processes of cancers. Our study aimed to investigate the involvement of lncRNA NCK1-AS1 in urinary bladder cancer (UBC). Methods qRT-PCR was used to detect the expression of lncRNA NCK1-AS1 and miR-143 in UBC tissues and cells. The dual-luciferase reporter system assays were used to confirm the interaction between NCK1-AS1 and miR-143, and flow cytometry assays were applied to examine the behavioral changes in HT-1376 and HT-1197 cell lines. Results It was observed that NCK1-AS1 was up-regulated, while miR-143 was down-regulated in tumor tissues than in adjacent healthy tissues of urinary bladder cancer (UBC) patients. A 5-year survival analysis showed that the survival rate of patients with high NCK1-AS1 level or low miR-143 level in tumor tissues appears relatively low. Correlation analysis revealed a significant inverse correlation between NCK1-AS1 and miR-143 in tumor tissues. Over-expression NCK1-AS1 reduced the expression level of miR-143, while elevating the level of miR-143 failed to affect NCK1-AS1 expression. NCK1-AS1 over-expression led to promoted proliferation and increased percentage of CD133+ (stemness) cells. Conclusion Therefore, NCK1-AS1 promotes cancer cell proliferation and increases cell stemness in UBC patients by down-regulating miR-143. © 2020 Qiao et al.Purpose The leucine zipper-EF-hand containing transmembrane protein 1 (LETM1) is a mitochondrial protein that has been associated with the occurrence and development of malignant tumors. Previous studies have shown that LETM1 expression is increased in several types of human cancer and is associated with a poor clinical outcome. However, the role of LETM1 in prostate cancer (PCa) has not yet been determined. In this study, we investigated the clinicopathological significance of LETM1 expression and its role in PCa progression. Methods We assessed the expression of LETM1 and genes related to cancer stemness, epithelial-mesenchymal transition (EMT), cell cycle, and PI3K/Akt signaling in 133 paraffin-embedded PCa tissue samples and cancer cells by using immunohistochemistry, immunofluorescence, and Western blotting. Results LETM1 expression was significantly increased in PCa, and it was positively correlated with Gleason score, pathologic tumor (pT) stage, clinical stage, and high microvessel density. Survival analysis showed that patients with PCa with a high level of LETM1 expression exhibited a low overall survival. Cox regression analysis indicated that LETM1 is an independent poor prognostic PCa factor. Additionally, the expression of LETM1 was correlated with cancer cell stemness-associated genes, EMT-related genes, cell cycle regulatory genes, and PI3K/Akt signaling gene expression in PCa. Furthermore, knocking down LETM1 expression down-regulated the expression of stemness-related proteins, while inhibiting tumor spheroid formation, EMT-like changes, cell proliferation, migration, and invasion in PCa cells. Importantly, the PI3K inhibitor LY294002 strongly inhibited the expression of LETM1, pPI3K-p85, and pAkt (Thr308, Ser473) in PCa cells. Conclusion These results indicate that LETM1 expression is associated with cancer cell stemness, promotes EMT-like changes and cell proliferation and is a potential prognostic biomarker for PCa. © 2020 Piao et al.