TIMER

TIMER analyzes tumor-infiltrating immune cells by inferring immune cell compositions from bulk tumor transcriptome profiles to characterize the tumor microenvironment and its associations with genomic and clinical features relevant to tumor progression and immunotherapy.

Key Features:

• Algorithm integration: Integrates six state-of-the-art algorithms to estimate immune infiltration levels from bulk tumor transcriptome profiles.
• Input data: Analyzes The Cancer Genome Atlas (TCGA) cohorts and user-provided tumor transcriptome profiles.
• Module architecture: Structured into eight analytic modules, including four modules examining relationships between immune cell populations and genetic or clinical attributes within TCGA cohorts and four modules exploring broader cancer-related associations.
• Heatmap table generation: Generates functional heatmap tables to identify and visualize significant associations across multiple cancer types simultaneously.
• Tumor microenvironment profiling: Quantifies tumor-infiltrating immune cells relevant to tumor progression and immunotherapy efficacy.
• Genomic and transcriptomic association analysis: Supports analysis of genomic and transcriptomic changes associated with immune infiltration in tumors.
• Large-scale data handling: Combines multiple algorithmic estimates to address challenges in large-scale public data analysis.

Scientific Applications:

• Tumor-immune interaction studies: Characterizes immune infiltration patterns to study tumor-immune interactions across cancer types.
• Genetic and clinical association analysis: Associates immune cell populations with specific genetic alterations and clinical attributes within TCGA cohorts.
• Genomic/transcriptomic correlation: Investigates genomic and transcriptomic correlates of immune infiltration in tumors.
• Cross-cancer comparative analysis: Detects significant patterns across multiple cancer types using comparative heatmap analyses.
• Immunotherapy research: Profiles immune infiltration to inform studies of tumor progression and potential immunotherapy response.

Methodology:

Integrates six algorithms to infer immune cell compositions from bulk tumor transcriptome profiles (TCGA or user-provided), implements eight analytic modules, and generates functional heatmap tables of associations.