Background: The objectives of this study were to determine the frequency of metastatic (M1) prostate cancer (PC) at presentation in different age groups, to examine the association of age with PC-specific mortality, and to calculate the relative contribution of different age groups to the pool of M1 cases and PC deaths. Methods: Records from 464,918 patients who were diagnosed with PC from 1998 to 2007 were obtained from the Surveillance, Epidemiology, and End Results (SEER) database. The patients were categorized according to age into groups ages < 50 years, 50 to 54 years, 55 to 59 years, 60 to 64 years, 65 to 69 years, 70 to 74 years, 75 to 79 years, 80 to 84 years, 85 to 89 years, and ≥ 90 years. The cumulative incidence of death from PC was computed using the Gray method. Results: The frequency of M1 PC at presentation was 3% for the group aged < 75 years, 5% for the group ages 75 to 79 years, 8% for the group ages 80 to 84 years, 13% for the group ages 85 to 89 years, and 17% for the group aged ≥ 90 years. The 5-year cumulative incidence of death from PC was 3% to 4% for all patients with PC in any category aged < 75 years, 7% for patients ages 75 to 79 years, 13% for patients ages 80 to 84 years, 20% for patients ages 85 to 89 years, and 30% for patients aged ≥ 90 years. Although patients aged ≥ 75 years at PC diagnosis represented just over a quarter (26%) of all PC cases, they contributed almost half (48%) of all M1 cases and more than half (53%) of all PC deaths. Conclusions: Compared with younger patients (aged < 75 years), older patients were more likely to present with very advanced disease, had a greater risk of death from PC despite higher death rates from competing causes, and contributed more than half of all PC deaths. Awareness of this issue may improve future outcomes for elderly patients with PC.

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As a tumor involved in the urinary system, bladder cancer (BC) seriously threatens human health. Emerging as crucial biomarkers, long noncoding RNAs (lncRNAs) play an important role in the regulation of many cancers. lncRNA NNT-AS1 has been studied in a series of cancers, whereas its role and potential molecular mechanism was poorly understood in BC. Here, we found that NNT-AS1 was upregulated in BC cells. Functionally, the silencing of NNT-AS1 inhibited cell proliferation, migration, invasion, and endothelial-mesenchymal transition. Furthermore, the apoptosis of BC cells was induced upon NNT-AS1 knockdown. Later, miR-1301-3p, the downstream gene of NNT-AS1, was found at a low level in BC cells. In addition, we found that miR-1301-3p targeted to PODXL. PODXL expression downregulated in NNT-AS1-silenced cells was restored by miR-1301-3p inhibition. Importantly, NNT-AS1 was discovered to activate Wnt pathway, and the treatment of LiCl recovered the repressive role of NNT-AS1 silencing in BC cell growth. Through restoration assays, we observed that PODXL overexpressing countervailed NNT-AS1 depletionmediated suppression on BC cell growth and Wnt pathway. These data suggested that NNT-AS1 enhances BC cell growth and activates Wnt pathway by targeting miR-1301-3p/PODXL axis. K E Y W O R D Sbladder cancer, miR-1301-3p, NNT-AS1, PODXL

Nanoindentation technology with high spatial resolution and force sensitivity is widely used to measure the mechanical properties of hard biomaterials and tissues. However, its reliability to analyze soft biomaterials and organs has not been tested. Here, we evaluated the utility of nanoindentation to measure the passive mechanical properties of soft biological specimen. Kidney, liver, spleen and uterus samples were harvested from C57BL/6 N mice. We assessed test–retest repeatability in biological specimen and hydrogel controls using Bland–Altman diagrams, intraclass correlation coefficients (ICCs) and the within-subject coefficients of variation (COVs). The results were calculated using Hertzian, JKR and Oliver & Pharr models. Similar to hydrogels, Bland–Altman plots of all biological specimen showed good reliability in stiffness test and retest examinations. In gels, ICCs were larger than 0.8 and COVs were smaller than 15% in all three models. In kidney, liver, spleen and uterus, ICCs were consistently larger than 0.8 only in the Hertzian model but not in the JKR and Oliver & Pharr models. Similarly, COVs were consistently smaller than 15% in kidney, liver, spleen and uterus only in the Hertzian model but not in the other models. We conclude that nanoindentation technology is feasible in detecting the stiffness of kidney, liver, spleen and uterus. The Hertzian model is the preferred method to provide reliable results on ex vivo organ stiffness of the biological specimen under study.

Fatty acid (FA)‐derived lipid products generated by cytochrome P450 (CYP), lipoxygenase (LOX), and cyclo‐oxygenase (COX) influence cardiovascular function. However, plasma measurements invariably ignore 40% of the blood specimen, namely the erythrocytes. These red blood cells (RBCs) represent a cell mass of about 3 kg. RBCs are a potential reservoir for epoxy fatty acids, which on release could regulate vascular capacity. We tested the hypothesis that maximal physical activity would influence the epoxy fatty acid status in RBCs. We used a standardized maximal treadmill exercise according to Bruce to ensure a robust hemodynamic and metabolic response. Central hemodynamic monitoring was performed using blood pressure and heart rate measurements and maximal workload was assessed in metabolic equivalents (METs). We used tandem mass spectrometry (LC‐MS/MS) to measure epoxides derived from CYP monooxygenase, as well as metabolites derived from LOX, COX, and CYP hydroxylase pathways. Venous blood was obtained for RBC lipidomics. With the incremental exercise test, increases in the levels of various CYP epoxy‐mediators in RBCs, including epoxyoctadecenoic acids (9,10‐EpOME, 12,13‐EpOME), epoxyeicosatrienoic acids (5,6‐EET, 11,12‐EET, 14,15‐EET), and epoxydocosapentaenoic acids (16,17‐EDP, 19,20‐EDP) occurred, as heart rate, systolic blood pressure, and plasma lactate concentrations increased. Maximal (13.5 METs) exercise intensity had no effect on diols and various LOX, COX, and hydroxylase mediators. Our findings suggest that CYP epoxy‐metabolites could contribute to the cardiovascular response to maximal exercise.

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Fatty acid products derived from cytochromes P450 (CYP) monooxygenase and lipoxygenase (LOX)/CYP ω/(ω‐1)‐hydroxylase pathways are a superclass of lipid mediators with potent bioactivities. Whether or not the chronic kidney disease (CKD) and hemodialysis treatments performed on end‐stage renal disease (ESRD) patients affect RBC epoxy fatty acids profiles remains unknown. Measuring the products solely in plasma is suboptimal. Since such determinations invariably ignore red blood cells (RBCs) that make up 3 kg of the circulating blood. RBCs are potential reservoirs for epoxy fatty acids that regulate cardiovascular function. We studied 15 healthy persons and 15 ESRD patients undergoing regular hemodialysis treatments. We measured epoxides derived from CYP monooxygenase and metabolites derived from LOX/CYP ω/(ω‐1)‐hydroxylase pathways in RBCs by LC–MS/MS tandem mass spectrometry. Our data demonstrate that various CYP epoxides and LOX/CYP ω/(ω‐1)‐hydroxylase products are increased in RBCs of ESRD patients, compared to control subjects, including dihydroxyeicosatrienoic acids (DHETs), epoxyeicosatetraenoic acids (EEQs), dihydroxydocosapentaenoic acids (DiHDPAs), and hydroxyeicosatetraenoic acids (HETEs). Hemodialysis treatment did not affect the majority of those metabolites. Nevertheless, we detected more pronounced changes in free metabolite levels in RBCs after dialysis, as compared with the total RBC compartment. These findings indicate that free RBC eicosanoids should be considered more dynamic or vulnerable in CKD.