Abstract:Background: Colon cancer is a malignant gastrointestinal tumor and is still a worldwide leading cause of cancer-related mortality. Owing to the development of high-throughput sequencing technologies, large-scale data have become available in public databases. We devoted to construct and validate a gene signature that can predict patients’ outcomes for colon cancer using bioinformatics methods. Methods: We integrated GSE44076 and GSE39582 to identify differentially expressed genes (DEGs). Timer 2.0 was used to … Show more
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