SynTarget

SynTarget evaluates synergistic effects of gene pairs on survival outcomes in cancer patients to identify gene combinations associated with differential prognosis.

Key Features:

• Gene Pair Analysis: Assesses the cumulative effect of two genes on patient survival to identify potential therapeutic synergy.
• Comprehensive Data Sets: Built on 15 gene expression data sets covering eight cancer types and supports analysis of clinically important subtypes such as triple-negative breast cancer, p53 mutated cancers, and K-ras mutated cancers.
• Patient Stratification and Statistical Analysis: Categorizes patients into four expression groups (high-high, high-low, low-high, low-low) and performs statistical analyses to detect differences in survival outcomes among these groups.
• Synergy Insights: Compares individual-gene effects with combined effects to quantify the degree of synergy between gene pairs.

Scientific Applications:

• Immunotherapy Potential: Enables identification of gene targets whose combined expression patterns suggest synergistic effects relevant to immunotherapeutic combinations.
• Triple-Negative Breast Cancer: Applies to subtypes lacking specific molecular targets and has highlighted cases such as ADAM9 and RC3H2 whose co-high expression associates with worse survival.
• Subtype-specific Survival Analysis: Supports analysis of subtype-specific gene synergies in clinically important groups including triple-negative, p53 mutated, and K-ras mutated cancers.

Methodology:

Analyses use 15 gene expression data sets across eight cancer types; patients are stratified into four groups by the expression of two selected genes (high-high, high-low, low-high, low-low), and statistical analyses compare survival outcomes among groups and contrast individual-gene effects with combined effects.