School of Genome Science and Technology, The University of Tennessee, Knoxville, TN 37916, USA.
Institute for Cyber-Enabled Research, Michigan State University, East Lansing, MI 48824, USA.
Cells. 2023 Jan 5;12(2):228. doi: 10.3390/cells12020228.
Colorectal cancer has proven to be difficult to treat as it is the second leading cause of cancer death for both men and women worldwide. Recent work has shown the importance of microRNA (miRNA) in the progression and metastasis of colorectal cancer. Here, we develop a metric based on miRNA-gene target interactions, previously validated to be associated with colorectal cancer. We use this metric with a regularized Cox model to produce a small set of top-performing genes related to colon cancer. We show that using the miRNA metric and a Cox model led to a meaningful improvement in colon cancer survival prediction and correct patient risk stratification. We show that our approach outperforms existing methods and that the top genes identified by our process are implicated in NOTCH3 signaling and general metabolism pathways, which are essential to colon cancer progression.
结直肠癌已被证明难以治疗，因为它是全世界男性和女性癌症死亡的第二大主要原因。最近的研究表明 microRNA（miRNA）在结直肠癌的进展和转移中具有重要作用。在这里，我们开发了一种基于 miRNA-基因靶标相互作用的指标，该指标以前已被证明与结直肠癌相关。我们使用此指标和正则化 Cox 模型生成与结肠癌相关的一小部分表现最佳的基因。我们表明，使用 miRNA 指标和 Cox 模型可显著提高结肠癌的生存预测和正确的患者风险分层。我们表明，我们的方法优于现有方法，并且我们的方法确定的顶级基因涉及 NOTCH3 信号和一般代谢途径，这对结肠癌的进展至关重要。
