ImReLnc

ImReLnc identifies immune-related long non-coding RNA (irlncRNA) characteristics across 33 human cancers by using a heuristic correlation coefficient to analyze lncRNA–mRNA relationships and their associations with immune-related pathways.

Key Features:

• Multi-Cancer Analysis: Recognizes irlncRNA characteristics across 33 human cancers.
• Heuristic Correlation Coefficient: Employs a heuristic correlation coefficient to calculate correlations between lncRNAs and mRNAs and to perform immune-related enrichment analysis across 17 immune-related pathways.
• Pscore Pathogenicity Evaluation: Calculates a Pscore for each irlncRNA characteristic to assess pathogenicity, with higher-Pscore irlncRNAs enriched in known disease databases and associated with cancer prognosis.
• Immune Infiltration Analysis: Compares expression levels, showing irlncRNAs have higher expression in immune cells and a greater proportion related to immune infiltration levels.

Scientific Applications:

• Mechanistic Investigation: Dissect mechanisms of cancer pathogenesis mediated by lncRNA–immune interactions across multiple cancer types.
• Prognostic Assessment: Provide insights into the prognostic effects of irlncRNAs and their expression patterns on cancer progression and patient outcomes.

Methodology:

Computational steps include heuristic correlation analysis between lncRNAs and mRNAs, association analysis with 17 immune-related pathways across multiple cancer types, and Pscore calculation for irlncRNA pathogenicity.