CircRNA_0008194 functions as a ceRNA to promote invasion of hepatocellular carcinoma via inhibiting miR-190a/AHNAK signaling pathway.

BACKGROUND: Hepatitis B virus infection was identified as the main risk factor of hepatocellular carcinoma (HCC) in China, which induced a high morbidity and mortality. In recent years, circRNAs were reported involving in the oncogenesis and development of multiple malignant tumors. METHOD: Bioinformatical analysis has been employed to predict the relevant circRNA with AHNAK. The loss of function and gain of function have been used by knocking-down circRNA through the shRNA technology while overexpressing through lentivirus infection. Dual-luciferase reporter assay was used to detect circRNA binding to miRNA and target genes. We further used immunoprecipitation technique to detect the binding ability between non-coding RNAs. RESULTS: In this study, according to the previous report, we mainly focused on AHNAK, which has been confirmed as an oncogene involving in the metastasis of HCC. Bioinformatics analysis showed that circ_0008194 could be spliced by AHNAK. In this study, the abnormal upregulated circ_0008194 in tumor tissues was detected. The positive correlation between circ_0008194 and AHNAK was also confirmed. Through knockdown and overexpression of circ_0008194, we conducted in vitro functional studies. We found circ_0008194 could induce the invasion of cells in vitro. Mechanically, circ_0008194 presented the binding ability with miR-190a causing the suppression of miR-190a expression, causing the competitive inhibition of AHNAK, resulting in the promotion of EMT. CONCLUSION: Our results suggested that circ_0008194 may act as a sponge to adsorb miR-190a, thereby promoting the expression of AHNAK and promoting the metastasis of liver cancer tumors.

The novel coronavirus outbreak in Wuhan, China.

The novel coronavirus (2019-nCoV, or COVID-19) epidemic first broke out in Wuhan and has been spreading in whole China and the world. The numbers of new infections and deaths in Wuhan are still increasing, which have posed major public health and governance concerns. A series of mandatory actions have been taken by the municipal and provincial governments supported by the central government, such as measures to restrict travels across cities, case detection and contact tracing, quarantine, guidance and information to the public, detection kit development, etc. Challenges such as lacking effective drugs, insufficient hospital services and medical supplies, logistics, etc. have much alleviated with the solidarity of the whole society. The pandemic will definitely be ended with the continuous efforts of both national and international multi-sectoral bodies.

Construction of prognostic risk prediction model based on high-throughput sequencing expression profile data in childhood acute myeloid leukemia.

This study aimed to identify critical prognostic molecular markers in Childhood acute myeloid leukemia (AML) and construct nomogram-based model for prognostic prediction. The RNA-sequencing profiles and corresponding clinical information were downloaded from TCGA database. Differential expressed genes (DEG) were screened using limma package, subsequently following by GO and KEGG pathway analysis. Univariate and multivariate cox regression analysis were performed to screen critical DEGs. Nomogram-based prediction model were constructed to identify clinical factors with independent prognostic values, and the accuracy of this model was validated. A total of 214 DEGs were identified from relapse AML samples compared with non-relapse samples. These DEGs were mainly involved in twenty GO terms and three signaling pathways, such as chromatin assembly or disassembly, cytokine-cytokine receptor interaction, and JAK-STAT signaling pathway. Among these genes, Univariate and multivariate cox regression analysis results showed that relapse and risk score were significantly correlated with survival outcomes. Finally, the accuracy ability of nomogram-based prediction model was validated. These six DEGs (ABCA5, CYP7A1, HERC5, etc.) play major roles in AMLs progression. Our nomogram-based prognostic predictive model might be an effective method to estimate survival probability of AML patients with different risk status.

Irinotecan compared with etoposide in combination with platinum in previously untreated extensive stage small cell lung cancer: An updated systemic review.

OBJECTIVE: To compare the therapeutic effect of irinotecan/platinum (IP) and etoposide/platinum (EP) in treatment-naïve extensive small cell lung cancer patients. METHODS: Systematic computerized searches of PubMed database and Chinese National Knowledge Infrastructure were performed. Summary odds ratio (OR) or hazard ratio (HR), and 95% confidence intervals (95% CI) were used to compare IP with EP in previously untreated small cell lung cancer patients. RESULTS: A total of 10 randomized trials were included in the analyses. The result showed the patients treated with irinotecan combinations experienced longer overall survival than epotoside, the pooled HR was 0.85 (95% CI = 0.78-0.92). The pooled OR revealed that IP stated better objective overall response than EP regimens (OR = 1.10, 95% CI = 0.92-1.32). Treatment-related deaths were similar between the two groups. CONCLUSION: IP regimens could be used as first-line treatment for extensive stage small cell lung cancer patients.