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

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

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...

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Bibliographic Details
Main Authors: Lina Pang, Qingxia Sun, Wenyue Wang, Mingjie Song, Ying Wu, Xin Shi, Xiaonan Shi
Format: Article
Language:English
Published: Elsevier 2025-02-01
Series:Heliyon
Subjects:
Colorectal cancer
Endothelial cells
Prognosis
Single-cell RNA sequencing
Machine learning
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844025006176
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