BackgroundIn recent years, long non-coding RNAs (lncRNAs) are of great importance in development of different types of tumors, while the function of lncRNA ZFAS1 is rarely discussed in esophageal squamous cell carcinoma (ESCC). Therefore, we performed this study to explore the expression of exosomal lncRNA ZFAS1 and its molecular mechanism on ESCC progression.MethodsExpression of ZFAS1 and miR-124 in ESCC tissues was detected. LncRNA ZFAS1 was silenced to detect its function in the biological functions of ESCC cells. A stable donor and recipient culture model was established. Eca109 cells transfected with overexpressed and low expressed ZFAS1 plasmid and miR-124 inhibitor labeled by Cy3 were the donor cells, and then co-cultured with recipient cells to observe the transmission of Cy3-ZFAS1 between donor cells and recipient cells. The changes of cell proliferation, apoptosis, invasion, and migration in recipient cells were detected. The in vivo experiment was conducted for verifying the in vitro results.ResultsLncRNA ZFAS1 was upregulated and miR-124 was down-regulated in ESCC tissues. Silencing of ZFAS1 contributed to suppressed proliferation, migration, invasion and tumor growth in vitro and induced apoptosis of ESCC cells. LncRNA ZFAS1 was considered to be a competing endogenous RNA to regulate miR-124, thereby elevating STAT3 expression. Exosomes shuttled ZFAS1 stimulated proliferation, migration and invasion of ESCC cells and restricted their apoptosis with increased STAT3 and declined miR-124. Furthermore, in vivo experiment suggested that elevated ZFAS1-exo promoted tumor growth in nude mice.ConclusionThis study highlights that exosomal ZFAS1 promotes the proliferation, migration and invasion of ESCC cells and inhibits their apoptosis by upregulating STAT3 and downregulating miR-124, thereby resulting in the development of tumorigenesis of ESCC.

We present the first formal verification of a networked server implemented in C. Interaction trees, a general structure for representing reactive computations, are used to tie together disparate verification and testing tools (Coq, VST, and Quick-Chick) and to axiomatize the behavior of the operating system on which the server runs (CertiKOS). The main theorem connects a specification of acceptable server behaviors, written in a straightforward "one client at a time" style, with the CompCert semantics of the C program. The variability introduced by low-level buffering of messages and interleaving of multiple TCP connections is captured using network refinement, a variant of observational refinement.

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Lactic acid, formerly thought of as a byproduct of glycolysis or a metabolic waste produced, has now been identified as a key regulator of cancer growth, maintenance, and progression. However, the results of investigations on lactic acid metabolism-related long non-coding RNAs (LRLs) in esophageal squamous cell carcinoma (ESCC) remain inconclusive. In this study, univariate Cox regression analysis was carried out in the TCGA cohort, and 9 lncRNAs were shown to be significantly associated with prognosis. Least absolute shrinkage and selection operator (LASSO) regression analysis and multivariate Cox regression analysis were then used in the GEO cohort. 6 LRLs were identified as independent prognostic factors for ESCC patients used to construct a prognostic risk-related signature subsequently. Two groups were formed based on the middle value of risk scores: a low-risk group and a high-risk group. Following that, we conducted Kaplan-Meier survival analysis, which revealed that the high-risk group had a lower survival probability than the low-risk group in both GEO and TCGA cohorts. On multivariate Cox regression analysis, the prognostic signature was shown to be independent prognostic factor, and it was found to be a better predictor of the prognosis of ESCC patients than the currently widely used grading and staging approaches. The established nomogram can be conveniently applied in the clinic to predict the 1-, 3-, and 5- year survival rates of patients. There was a significant link found between the 6 LRLs-based prognostic signature and immune-cell infiltration, tumor microenvironment (TME), tumor somatic mutational status, and chemotherapeutic treatment sensitivity in the study population. Finally, we used GTEx RNA-seq data and qRT-PCR experiments to verify the expression levels of 6 LRLs. In conclusion, we constructed a prognostic signature which could predict the prognosis and immunotherapy response of ESCC patients.

Based on large-scale human mobility data collected in San Francisco and Boston, the morning peak urban rail transit (URT) ODs (origin-destination matrix) were estimated and the most vulnerable URT segments, those capable of causing the largest service interruptions, were identified. In both URT networks, a few highly vulnerable segments were observed. For this small group of vital segments, the impact of failure must be carefully evaluated. A bipartite URT usage network was developed and used to determine the inherent connections between urban rail transits and their passengers' travel demands. Although passengers' origins and destinations were easy to locate for a large number of URT segments, a few show very complicated spatial distributions. Based on the bipartite URT usage network, a new layer of the understanding of a URT segment's vulnerability can be achieved by taking the difficulty of addressing the failure of a given segment into account. Two proof-of-concept cases are described here: Possible transfer of passenger flow to the road network is here predicted in the cases of failures of two representative URT segments in San Francisco.

N7-Methylguanosine (m7G) and long non-coding RNAs (lncRNAs) have been widely reported to play an important role in cancer. However, there is little known about the relationship between m7G-related lncRNAs and esophageal squamous cell carcinoma (ESCC). In this study, we aimed to find new potential biomarkers and construct an m7G-related lncRNA prognostic signature for ESCC. Three molecular clusters were identified by consensus clustering of 963 m7G-related lncRNAs, of which cluster B is preferentially related to poorer prognosis, higher immune and stromal scores, higher mRNA levels of immune checkpoints, and higher immune infiltrate level. We constructed a robust and effective m7G-related lncRNA prognostic signature (m7G-LPS, including 7 m7G-related prognostic lncRNAs) and demonstrated its prognostic value and predictive ability in the GEO and TCGA cohorts. The risk score was able to serve as an independent risk factor for patients with ESCC and showed better prediction than the traditional clinical risk factors. The immune score, stromal score, the infiltration level of immune cells and expression of immune checkpoints were significantly higher in the high-risk subgroup compared to the low-risk subgroup. The establishment of nomogram further improved the performance of m7G-LPS and facilitated its clinical application. Finally, we used GTEx RNA-seq data and qRT-PCR experiments to verify the expression levels of 7 m7G-related lncRNAs. To a certain degree, m7G-lncRNAs can be used as prognostic markers and therapeutic targets for ESCC patients.

Background. Postoperative cognitive dysfunction (POCD) is an impairment of cognition that affects postsurgery patients. Sevoflurane anesthesia is linked to cognitive dysfunction correlated to the expression of miRNA levels.Objectives. In the current study, we investigated if miR-124 can offer protection against cognitive deficits induced by sevoflurane in a spatial learning paradigm, and examined the molecular mechanisms through cell cultures.Materials and methods. Escape latency, platform crossings in probe trials and swimming speed in the Morris water maze in sevoflurane-treated mice were utilized as a measure of cognitive function. The relative miR-124 expression, and mRNA expressions of Bax, caspase-3 and Bcl-2 in sevoflurane-treated hippocampal cultures were measured using real-time quantitative polymerase chain reaction (RT-qPCR). Moreover, the changes in interleukin (IL)-1β, tumor necrosis factor alpha (TNF-α) and IL-6 were determined using enzyme-linked immunosorbent assay (ELISA). The binding between miR-124 and calpain small subunit 1 (Capn4) was verified with site-directed mutagenesis. The involvement of the nuclear factor kappa B (NF-κB) signaling pathway was examined using western blot analysis. Results.Our findings indicated that the miR-124 expression was inhibited by sevoflurane treatment in live rats and mouse hippocampal neurons to prevent apoptosis and inflammatory responses. We confirmed Capn4 as a target of miR-124. Treatment with sevoflurane enhanced the expression of Capn4, while overexpression of miR124 suppressed the enhanced expression of Capn4. Also, miR-124 inhibited apoptosis in murine hippocampal neurons induced by sevoflurane via the NF-κB signaling pathway. Conclusions.Our findings demonstrated that miR-124 exerted its neuroprotective role against sevoflurane via targeting Capn4 and NF-κB signaling pathways. Our work may provide a novel and efficacious treatment for sevoflurane anesthesia-related cognitive dysfunction.

Globally, lung cancer is one of the leading causes of cancer-related deaths, with non-small-cell lung cancer (NSCLC) accounting for approximately 85%. 1 Lung cancer is classified in different cancer types, and lung adenocarcinoma (LUAD) is the major histological type of lung cancer. 2,3 Despite recent progress in clinical surgical technique 4 and comprehensive therapy, 5 the prognosis for LUAD remains poor because of treatment resistance, local recurrence 6 and distant metastasis. 7 Thus, there is an urgent need to both identify LUAD biomarkers for early specific diagnosis and prognosis evaluation, and further develop strategies to treat this fatal disease. 8 Cadherin EGF LAG seven-pass G-type receptors belong to the flamingo subfamily of the cadherin superfamily. CELSRs are known to