CuPCA

CuPCA enables pan-cancer association analysis of large-scale cuproptosis-related genes across 33 cancer types, providing various prognostic analyses between cuproptosis and cancers at gene and protein levels.

Key Features:

• Single CRG pan-cancer analysis: Analyzes individual cuproptosis-related genes across 33 cancer types.
• Multi-CRGs pan-cancer analysis: Analyzes multiple cuproptosis-related genes simultaneously across cancer types.
• Multi-CRlncRNA pan-cancer analysis: Analyzes multiple cuproptosis-related long non-coding RNAs across cancer types.
• mRNA-circRNA-lncRNA conjoint analysis: Performs integrated analysis of messenger RNA, circular RNA, and long non-coding RNA.
• Prognostic prediction: Predicts clinical condition, survival condition, and immunological condition of different cancer patients.

Scientific Applications:

• Cuproptosis-cancer association discovery: Identifies relationships between cuproptosis-related genes and human cancers at both gene level and protein level.
• Pan-cancer prognostic analysis: Enables researchers to make various prognostic analyses on cancers and cancer patients across multiple cancer types.
• Immunological condition assessment: Evaluates the immunological condition of cancer patients in relation to cuproptosis.

Methodology:

CuPCA performs pan-cancer analysis of cuproptosis-related genes through 33 cancer types.