A novel gene signature for predicting outcome in colorectal cancer patients based on tumor cell-endothelial cell interaction via single-cell sequencing and machine learning

Abstract excerpt

Background: The intricate interactions between malignant cells and endothelial cells (ECs) are crucial in the progress of colorectal cancer (CRC). Identifying molecular signatures associated with this interaction could yield critical prognostic insights and inform personalized therapeutic approaches. Methods: We conducted an in silico study integrating single-cell RNA sequencing and bulk transcriptome data to...

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