Showing papers by "Hong Zhang published in 2022"
TL;DR: FAT1/4 mutations were related to better overall survival in pan-cancer patients treated with ICIs, whereas FAT1/2/3 mutations correlated with longer progression-free survival in ICI-treated NSCLC cohort.
Abstract: Background The FAT atypical cadherin 1/2/3/4 (FAT1/2/3/4) has been linked to the occurrence and development of various cancers. However, the prognostic and immunological role of FAT1/2/3/4 in non-small cell lung cancer (NSCLC) has not been clarified. Methods The association of FAT1/2/3/4 mutations with tumor mutation burden (TMB), tumor immunity in the microenvironment, and response to ICIs in NSCLC was investigated. Whole-exome sequencing data of lung adenocarcinoma (LUAD), lung squamous cell carcinoma (LUSC) samples from the Cancer Genome Atlas (TCGA), and an immunotherapy data set comprising mutation and survival data of 75 NSCLC patients were analyzed. Two independent pan-cancer cohorts with large samples were used to validate the prognostic value of FAT1/2/3/4 mutations in immunotherapy. Results A high mutation rate of FAT1/2/3/4 (57.3%, 603/1052) was observed in NSCLC patients. TMB was significantly higher in samples with mutated FAT1/2/3/4 compared to samples with wildtype FAT1/2/3/4 (P < .05). FAT2 mutation was found to be an independent prognostic biomarker in LUAD. FAT1/2/3/4 were aberrantly expressed in LUAD and LUSC, and high FAT2 expression strongly correlated with high PD-L1 levels in LUAD. Moreover, LUAD patients with FAT1 mutations showed significantly high activated dendritic cells infiltration, whereas those with FAT2/3/4 mutations had high infiltration of CD8+ T-cells, M1 macrophages, activated memory CD4+ T-cells, and helper follicular T-cells. It was also observed that FAT1/2/4 mutations were significantly associated with better enhanced objective response and durable clinical benefit, whereas FAT1/2/3 mutations correlated with longer progression-free survival in ICI-treated NSCLC cohort. FAT1/4 mutations were related to better overall survival in pan-cancer patients treated with ICIs. Conclusions FAT family genes are potential prognostic and immunological biomarkers and correlate with response to ICIs in NSCLC.
8 citations
TL;DR: This review offers emerging perspectives and orientations for further comprehending the function of miR-1258 as a diagnostic and prognostic biomarker and potent therapeutic target in cancer.
Abstract: microRNAs (miRNAs) are small endogenous RNAs composed of 20-22 nucleotides that do not encode proteins, which regulate the expression of downstream genes by targeting the 3’ untranslated region of mRNA. Plentiful research has demonstrated that miRNAs participate in the initiation and development of diverse diseases and malignant tumors. miR-1258 exerts great influence on tumors, including tumor growth, distant metastasis, migration, invasion, chemosensitivity, cell glycolysis, apoptosis, and stemness. Interestingly, miR-1258 is a miRNA with explicit functions and has been investigated to act as a tumor suppressor in studies on various types of tumors. With accumulating research on miR-1258, it has been found to be used as a biomarker in the early diagnosis and prognosis prediction of tumor patients. In this review, we outline the development of miR-1258 research, describe its regulatory network, and discuss its roles in cancer. Additionally, we generalize the potential clinical applications of miR-1258. This review offers emerging perspectives and orientations for further comprehending the function of miR-1258 as a diagnostic and prognostic biomarker and potent therapeutic target in cancer.
1 citations
TL;DR: High expression level of ZNF143 is associated with immune microenvironment and high risk of progression of COPD to NSCLC, and is a novel COPD biomarker.
Abstract: Background Chronic obstructive pulmonary disease (COPD) is an inflammatory-related disease highly associated with increased lung cancer risk. Studies have explored the tumor promoting roles for zinc finger protein 143 (ZNF143). However, the role of ZNF143 in COPD and tumor microenvironment of non-small cell lung cancer (NSCLC) has not been fully elucidated. Methods COPD-related key genes were identified by differential gene expression evaluation, WGCNA and SVM-RFE analysis using mRNA expression data retrieved from public databases. ROC analysis was conducted to evaluate the diagnostic value of ZNF143. Correlation between ZNF143 and clinic-pathological features, associations with tumor-infiltrating immune cells (TICs) and the relationship with predictors of immunotherapy efficacy were explored. ZNF143 gene expression was validated by qRT-PCR using an independent cohort. Results Bioinformatic and machine learning analysis showed that ZNF143 was a COPD-related gene. ZNF143 expression was significantly upregulated in COPD and is a potential diagnostic biomarker in COPD with AUC > 0.85. ZNF143 expression was significantly upregulated in lung squamous cell carcinoma (LUSC) and lung adenocarcinoma (LUAD). ZNF143 expression levels were significantly higher in LUAD patients with COPD relative to the levels in patients only with LUAD. Upregulation of ZNF143 in patients with comorbidity of NSCLC and COPD was further confirmed by qRT-PCR analysis. High expression of ZNF143 was significantly correlated with advanced TNM stage in LUSC. High ZNF143 expression was associated with activated TICs in both LUAD and LUSC samples. Moreover, ZNF143 expression was significantly correlated with the levels of several known predictors of immunotherapy efficacy, including PD-L1, PD-L2, TMB and TIDE in NSCLC. Conclusion ZNF143 is a novel COPD biomarker. High expression level of ZNF143 is associated with immune microenvironment and high risk of progression of COPD to NSCLC.
1 citations
TL;DR: A phylogenetic analysis of the viral genes revealed that HN1304M formed an evolutionary branch with other Cat Que viruses isolated from mosquitoes, pigs, birds, and humans, which was completely independent of the other viruses in this complex.
Abstract: The Cat Que orthobunyavirus has been found in mosquitoes, birds, pigs, and humans, suggesting its wide range of hosts and potential public health implications. During arbovirus surveillance in 2013, the HN1304M virus was isolated from naturally occurring Culicoides biting midges in Hunan Province, southern China. The virus was cytopathic to BHK-21 cells and showed stable passage, but was not cytopathic to C6/36 cells. Determination and analysis of the viral genome sequence revealed that HN1304M is an RNA virus with three gene segments, namely, L, M, and S. The nucleotide and amino acid sequence homologies of HN1304M to Cat Que viruses in the Manzanilla species complex were 90.3–99.4%, and 95–100%, respectively, while the homologies to other viruses in this species complex were 74–86.6% and 78.1–96.1%, respectively. A phylogenetic analysis of the viral genes revealed that HN1304M formed an evolutionary branch with other Cat Que viruses isolated from mosquitoes, pigs, birds, and humans, which was completely independent of the other viruses in this complex. The fact that the Cat Que virus was isolated from Culicoides suggests that biting midges may participate in the natural circulation of Cat Que viruses.
1 citations
TL;DR: Wang et al. as discussed by the authors investigated epidemic features and spatial clusters of HFMD incidence rates and assessed the relationship between Enterovirus 71 (EV71) and Coxsackievirus A16 (CoxA16) and severe cases of HMFD in Gansu province, China.
Abstract: Little research has been conducted on the spatio-temporal relationship between the severe cases and the enteroviruses infections of hand, foot and mouth disease (HFMD). This study aimed to investigate epidemic features and spatial clusters of HFMD incidence rates and assess the relationship between Enterovirus 71 (EV71) and Coxsackievirus A16 (CoxA16) and severe cases of HMFD in Gansu province, China.Weekly county-specific data on HFMD between 1st January and 31st December 2018 were collected from the China Infectious Disease Information System (CIDIS), including enterovirus type (EV71 and CoxA16), severe and non-severe cases in Gansu province, China. Temporal risk [frequency index (α), duration index (β) and intensity index (γ)] and spatial cluster analysis were used to assess epidemic features and identify high-risk areas for HFMD. Time-series cross-correlation function and regression model were used to explore the relationship between the ratios of two types of viruses (i.e. EV71/Cox16) (EC) and severe cases index (i.e. severe cases/non-severe cases) (SI) of HFMD.Some counties in Dingxi City, Gansu were identified as a hot spot for the temporal risk indices. Time-series cross-correlation analysis showed that SI was significantly associated with EC (r = 0.417, P < 0.05) over a 4-week time lag. The regression analysis showed that SI was positively associated with EC (β = 0.04, 95% confidence interval (CI) 0.02-0.06).The spatial patterns of HFMD incidence were associated with enteroviruses in Gansu. The research suggested that the EC could be considered a potential early warning sign for predicting severe cases of HFMD in Gansu province.
TL;DR: Wang et al. as discussed by the authors investigated the sequence typing and resistance profiles of S. aureus isolates from patient and food samples in Shijiazhuang, China, and found that S. Aureus had high resistance to penicillin and low resistance to chloramphenicol and rifampicin.
Abstract: Staphylococcus aureus (S. aureus) is a common opportunistic and zoonotic pathogen in the world and could easily cause human infections and food contaminations. This study investigated the sequence typing and resistance profiles of S. aureus isolates from patient and food samples in Shijiazhuang, China. A total of 101 S. aureus isolates were distributed into six clonal complexes (CCs) and 16 singletons. A total of 86 patient isolates were distributed into six clonal CCs and 12 singletons, including a new ST. CC59, CC5, CC22, and CC398 were the predominant CCs of patient isolates. A total of 15 foodborne S. aureus isolates were distributed into 3 CCs and 4 STs, and CC1 was the most prevalent CC. Moreover, 101 S. aureus isolates had high resistance to penicillin and low resistance to chloramphenicol and rifampicin. A total of 39 strains of methicillin-resistant Staphylococcus aureus (MRSA) were detected in this study, including thirty-eight strains of patient isolates (44.2%, 38/86) and one strain of food isolates (6.7%, 1/15). MRSA-ST5, MRSA-ST59, and MRSA-ST239 were the predominant MRSA isolates in hospitals. The present study explained the relationship between S. aureus isolated from patient and food samples and indicated the risks of S. aureus in infectious diseases.
12 Oct 2022
TL;DR: An improved U-shape neural network (IUNet) was proposed according to the characteristic of soft exudate, which consisted of a contracting path and a symmetric expanding path that had excellent performance on softExudate task in Indian Diabetic Retinopathy Image Dataset (IDRiD).
Abstract: Diabetic Retinopathy (DR) is a complication with a high blindness rate caused by diabetes. The diagnosis of DR requires examining the patient's fundus several times a year, which is a heavy burden for a patient and consumes a lot of medical resources. Since soft exudate is an early indicator for detecting the presence of DR, an automated and exact segmentation method for soft exudate is helpful for making a rapid diagnosis. Despite recent advances in medical image processing, the segmentation method of soft exudate is still unsatisfactory due to the limited amount of soft exudate data, imbalanced categories, varying scales and so on. In this work, an improved U-shape neural network (IUNet) was proposed according to the characteristic of soft exudate, which consisted of a contracting path and a symmetric expanding path. Both were composed of convolutional layers, multi-scale modules, and shortcut connections. In training process, a data enhancement strategy was used to generate more training data and a weighted cross-entropy loss function to suppress positive and negative sample imbalance. The proposed method had excellent performance on soft exudate task in Indian Diabetic Retinopathy Image Dataset (IDRiD). The area under precision-recall (AUPR) curve score was 0.711, which was superior to the state-of-the-art models.