CHG

CHG integrates and annotates cancer hallmark genes to support analysis of their functions, network topology, cancer development, diversity, and prognostic associations.

Key Features:

• Systematic Integration: CHG integrates hallmark genes into a consistent, standardized resource for organized analysis.
• Annotation of Roles: The database provides detailed annotations of potential roles of hallmark genes in cancer processes.
• Literature-Based Keyword Selection: Keywords for each hallmark are selected from existing literature to define hallmark-related searches.
• Data Collection and Correction: Candidate hallmark genes were initially derived from 301 pathways in the KEGG database using Lucene, followed by manual correction.
• Network Analysis: CHG analyzes relationships among hallmarks and characteristics of hallmark genes using the topological structures of gene networks.

Scientific Applications:

• Cancer Diversity Analysis: The resource provides perspectives for analyzing cancer diversity and development through hallmark gene composition.
• Prognostic Predictions: CHG has been used to predict prognoses for patients with breast cancer, glioblastoma multiforme, and kidney papillary cell carcinoma.
• Research and Development: Researchers can use CHG to explore relationships among hallmark genes and their roles across different cancer types.

Methodology:

Candidate genes were collected from 301 KEGG pathways using Lucene; database analyses were used to identify and confirm hallmark genes; network-topology analyses were applied to examine relationships among hallmarks and genes.