A circRNA-based ceRNA network shows its diagnostic value in non-small-cell lung cancer.

BACKGROUND: Numerous studies have reported the vital roles of circular RNA (circRNA)-based competitive endogenous RNA (ceRNA) regulatory networks in cancers. Here, we established a non-small-cell lung cancer (NSCLC)-related circRNA-miRNA-mRNA axis and estimated its diagnostic value in NSCLC. METHODS: The circ_0061235-miR-3180-5p-PPM1L axis was constructed by small RNA deep sequencing, bioinformatics databases, and preliminary testing. The serum levels of the selected circ_0061235, miR-3180-5p, and PPM1L were quantified using quantitative polymerase chain reaction. Receiver operating characteristic analyses were conducted to evaluate the diagnostic power. RESULTS: The levels of circ_0061235, miR-3180-5p, and PPM1L showed close correlations according to the ceRNA regulation rule. They were significantly dysregulated in NSCLC and showed the diagnostic ability to discriminate between healthy and NSCLC, and remarkably, between benign lung tumors and NSCLC. Additionally, the down-regulated levels of hsa_circ_0061235, the up-regulated levels of miR-3180-5p, and the decreased levels of PPM1L were correlated to more aggressive features of NSCLC, such as lymph node metastasis, distant metastasis, and higher stages. Intriguingly, compared to the single circ_0061235, miR-3180-5p, PPM1L, and traditional tumor markers, the diverse combinations of circ_0061235, miR-3180-5p, and PPM1L showed much higher sensitivity and specificity to differentiate greater or lesser severity of NSCLC. GO annotation and KEGG pathway analyses revealed the underlying role of the circ_0061235-miR-3180-5p-PPM1L axis in NSCLC. CONCLUSIONS: We established a specific circRNA-miRNA-mRNA network with higher sensitivity and specificity to diagnose NSCLC, particularly more aggressive NSCLC, providing a new strategy for further developing tumor biomarkers.

The impact of the COVID-19 pandemic on the care of pulmonary hypertension patients outside the Hubei province in China.

The Coronavirus disease 2019 (COVID-19) pandemic has severely affected the lives of people around the world, especially some patients with severe chronic diseases. This study aims to evaluate the impact of the COVID-19 outbreak from December 2019 to April 2020 on treating patients with PH. A questionnaire regarding the medical condition of PH patients during the COVID-19 pandemic was designed by PH diagnostic experts in The First Affiliated Hospital of Guangzhou Medical University, China Respiratory Center. One hundred and fifty-six subjects with PH from non-Hubei regions in China were invited to participate in this survey online. 63.4% (n = 99) of them had difficulty seeing a doctor, and the main reason was fear of contracting severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in the hospital. Medical treatment was affected in 25% (n = 39) of patients, and who lived in rural areas, and discontinued medical therapy for financial reasons were at a higher risk of medical treatment being affected. Patients who reduced nutrition, and had difficulty seeing a doctor were more likely to get deteriorated. During the epidemic, the hospitalization rate of PH patients was 33.33%. Patients with aggravated PH had a high risk of hospitalization (odds ratio [OR] = 2.844), while patients who visited a doctor during the epidemic reduced the risk of hospitalization (OR = 0.33). In conclusion, during the COVID-19 pandemic, PH patients had difficulty seeing a doctor, and their medical treatment was affected, even worsened, and increased the risk of hospitalization.

Blood Cells and Venous Thromboembolism Risk: A Two-Sample Mendelian Randomization Study.

Background: Previous studies have shown that various cell indices are associated with a higher risk of venous thromboembolism (VTE), however, whether these findings reflect a causal relationship remains unclear. Therefore, we performed a two-sample Mendelian randomization (MR) analysis to assess the causal association of various blood cells with VTE risk. Study Design and Methods: Summary statistics of genetic instruments representing cell indices for erythrocytes, leukocytes, and platelets were extracted from genome-wide association studies of European ancestry, by Two-Sample Mendelian Randomization. Inverse variance weighting (IVW) was used as the primary analytical method for MR. Sensitivity analyses were performed to detect horizontal pleiotropy and heterogeneity. Results: Genetically predicted red blood cell distribution width, mean reticulocyte volume, and mean red blood cell volume were positively associated with VTE, with odds ratio (OR) of 1.002 [CI 1.000-1.003, P = 0.022), 1.003 (CI 1.001-1.004, P = 0.001, respectively)] and 1.001 (CI 1.000-1.002, P = 0.005). Genetically predicted monocyte count was negatively correlated with VTE, with OR = 0.998 (CI 0.996-0.999, P = 0.041). Conclusion: Genetically liability to high- red blood cell distribution width, mean reticulocyte volume, mean red blood cell volume, and low monocyte count are associated with the higher risk of VTE. Targeting these factors might be a potential strategy to prevent VTE.

Diagnostic and prognostic value of serum Chitinase 3-like protein 1 in hepatocellular carcinoma.

The serum Chitinase 3-like protein 1 (CHI3L1) protein level can distinguish the stages of liver fibrosis to a great extent. However, the diagnostic and prognostic significance of serum CHI3L1 in hepatocellular carcinoma (HCC) is not clarified. To evaluate the diagnostic and prognostic value of CHI3L1 in HCC, a total of 128 HCC patients treated in the HwaMei Hospital, University of Chinese Academy of Sciences, from December 2018 to April 2020 were collected retrospectively. Matched age and gender subjects, 40 patients with liver cirrhosis, 40 patients with chronic hepatitis, and 40 healthy subjects were enrolled in the control group. The relevant clinical laboratory and examination data and the overall survival time (OS) of the HCC patients were collected. The serum CHI3L1 expression level is related to α-fetoprotein (AFP), tumor-node-metastasis (TNM) stage, maximum tumor diameter, liver cirrhosis, and HCC patient's OS (p < 0.05). The area under the curve (AUC) of CHI3L1 was 0.7875 with the cutoff value of 91.36 ng/ml. Combining the serum CHI3L1 and α-fetoprotein (AFP) by a binary logistic regression model can increase the diagnostic sensitivity to 97.5%. Multivariate Cox regression analysis indicated that CHI3L1 is an independent prognostic factor in patients with HCC.