Machine learning-based integration develops an immune-derived lncRNA signature for improving outcomes in colorectal cancer

Abstract

Identification of long non-coding RNA (lncRNA) signatures could be used to improve cancer clinical outcome. Here the authors developed a machine learning-based integrative procedure to construct a consensus immune-related lncRNA signature to predict prognosis, recurrence and treatment benefits in colorectal cancer.