A5013324978- Cancer-related molecular mechanisms research
- Circular RNAs in diseases
- Ferroptosis and cancer prognosis
- Bioinformatics and Genomic Networks
- Infant Nutrition and Health
- Gut microbiota and health
- Molecular Biology Techniques and Applications
- Colorectal Cancer Treatments and Studies
- Glutathione Transferases and Polymorphisms
- Redox biology and oxidative stress
- RNA Research and Splicing
- Immune cells in cancer
- Heat shock proteins research
- Congenital gastrointestinal and neural anomalies
- Genetic factors in colorectal cancer
- Colorectal Cancer Screening and Detection
- Cancer, Lipids, and Metabolism
- Cancer Immunotherapy and Biomarkers
Chongqing Medical University
2016-2019
Dalian Medical University
2019
Second Affiliated Hospital of Chongqing Medical University
2019
The Affiliated Yongchuan Hospital of Chongqing Medical University
2016-2018
Abstract Immune infiltration of colorectal cancer (CRC) is closely associated with clinical outcome. However, previous work has not accounted for the diversity functionally distinct cell types that make up immune response. In this study, based on a deconvolution algorithm (known as CIBERSORT) and annotated expression profiles, we comprehensively analyzed tumor‐infiltrating cells present in CRC first time. The fraction 22 subpopulations was evaluated to determine associations between each...
Zonulin protein is a newly discovered modulator which modulates the permeability of intestinal epithelial barrier by disassembling intercellular tight junctions (TJ). Disruption TJ associated with neonatal necrotizing enterocolitis (NEC). It has been shown bifidobacterium could protect function and prophylactical administration beneficial effects in NEC patients animals. However, it still unknown whether zonulin involved gut dysfunction NEC, protective mechanisms on are also not well...
Abstract Several long noncoding RNAs (lncRNAs) have been identified in various malignant tumors and determined to contribute the process of tumorigenesis, including that colorectal cancer (CRC). Cancer stem cells (CSCs) demonstrated promote expansion maintain invasion metastasis cells, owing their self‐renewal capacity. However, underlying modulation mechanism CSC‐associated lncRNAs CRC remains largely unclear. Using integrated bioinformatic analysis, we a novel lncRNA (lncRNA‐cCSC1) is...
Although the outcome of patients with colorectal cancer (CRC) has improved significantly, prognosis evaluation still presents challenges due to disease heterogeneity. Increasing evidences revealed close correlation between aberrant expression certain RNAs and prognosis. We envisioned that combined multiple types into a single classifier could improve postoperative risk classification add prognostic value current stage system. Firstly, differentially expressed including mRNAs, miRNAs lncRNAs...
The present study was to investigate the clinical significance of peroxiredoxin 2 (PRDX2), an oncoenzyme, in development and progression colorectal cancer(CRC).We found levels PRDX2 mRNA protein were higher CRC cell lines than normal human colonic epithelial cells. expression significantly up-regulated lesions compared with that adjacent noncancerous tissues. tissues from 148 226 (65.5%) patients revealed high level contrast only 13 (5.8%) strong staining cases Increased associated poor...
Although hundreds of colorectal cancer- (CRC-) related genes have been screened, the significant hub still need to be further identified. The aim this study was identify based on protein-protein interaction network and uncover their clinical value. Firstly, 645 CRC patients’ data from Tumor Cancer Genome Atlas were downloaded analyzed screen differential expression (DEGs). And then, Kyoto Encyclopedia Genes Genomes pathway enrichment analysis performed, PPI DEGs constructed by Cytoscape...
Abstract The current tumor staging system is insufficient for predicting the outcomes patients with colorectal cancer because of its phenotypic and genomic heterogeneity. Integrating gene expression signatures clinicopathologic factors may yield a predictive accuracy exceeding that currently available system. Twenty-seven used data to predict prognosis were identified re-analyzed using bioinformatic methods. Next, clinically annotated samples (n = 1710) corresponding profiles, predicted...