- Cancer-related molecular mechanisms research
- Cardiovascular Disease and Adiposity
- Genomics and Chromatin Dynamics
- Cardiac Fibrosis and Remodeling
- Growth Hormone and Insulin-like Growth Factors
- Pluripotent Stem Cells Research
- Kruppel-like factors research
- Genetic factors in colorectal cancer
- Epigenetics and DNA Methylation
- Cancer Genomics and Diagnostics
- Cancer, Hypoxia, and Metabolism
- Renal and related cancers
- CRISPR and Genetic Engineering
Wenzhou Medical University
2024
Union Hospital
2023
Fujian Medical University
2023
Ningxia Medical University
2022
Zhejiang University
2022
Purpose: This study aimed to investigate the role of IGFBP5 in colorectal cancer (CRC) and relationship between expression clinicopathological parameters CRC patients. Patients Methods: Immunohistochemical analysis was used detect its correlation with Prognosis analysis, gene set enrichment protein interaction network were performed using bioinformatics analysis. The Genomics Drug Sensitivity Cancer (GDSC) dataset analyze drug resistance. Results: revealed that significantly higher tissues...
Background Fat accumulation in visceral adipose tissue (VAT) confers increased risk for metabolic disorders of obesity, whereas subcutaneous (SAT) is associated with lower and may be protective. Previous studies have shed light on the gene expression profile differences between SAT VAT; however, chromatin accessibility landscape how cis-regulatory elements govern changes VAT are unknown. Methods Pig were used to characterize two depots-derived stromal vascular fractions (SVFs) using...
To analyze genome-wide super-enhancers (SEs) methylation signature of breast invasive carcinoma (BRCA) and its clinical value. Differential sites (DMS) between BRCA adjacent tissues from The Cancer Genome Atlas (TCGA) database were identified by using ChAMP package in R software. Super-enhancers sing ROSE Overlap analysis was used to assess the potential DMS SEs region. Feature selection performed Cox regression least absolute shrinkage operator (LASSO) algorithm based on TCGA training...