Department of Gastrointestinal Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China.
Department of Clinical Laboratory, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China.
Int J Mol Sci. 2023 Jan 12;24(2):1516. doi: 10.3390/ijms24021516.
Colorectal cancer (CRC) is critically related to aging and severely threatens human lives. To better explore the effects of aging on CRC progression and therapy outcome, a reliable aging subtypes identification of CRC is urgently desired. Here, 28 aging-related genes associated with the CRC prognosis were selected by univariate Cox analyses. Based on these 28 genes, CRC patients were divided into the aging subtype and young subtype by non-negative matrix factorization clustering. Aging subtype and young subtype of CRC were identified with distinct molecular features and clinical prognosis. The aging subtype was characterized by upregulation of senescence-associated secretory phenotype, higher frequencies of TP53 and immune checkpoint molecules, and high sensitivity to protein kinase and angiogenesis inhibitors. Furthermore, 14 genes were selected by LASSO penalized Cox regression analyses for aging-related risk signature construction. The constructed aging risk signature exhibited good prediction and the nomogram showed robust discrimination power over the traditional CRC staging system. In conclusion, this study successfully established aging subtype and young subtype of CRC, which is helpful to identify patients with aging characteristics to evaluate prognosis and treatment outcomes. Introducing aging-based subtypes into clinical concern and patient prognostication provides new opportunities for personalized CRC treatment.
结直肠癌(CRC)与衰老密切相关,严重威胁人类生命。为了更好地探索衰老对 CRC 进展和治疗结果的影响,迫切需要对 CRC 进行可靠的衰老亚型鉴定。在这里,通过单变量 Cox 分析选择了 28 个与 CRC 预后相关的衰老相关基因。基于这 28 个基因,通过非负矩阵分解聚类将 CRC 患者分为衰老亚型和年轻亚型。CRC 的衰老亚型和年轻亚型具有不同的分子特征和临床预后。衰老亚型的特点是衰老相关分泌表型上调、TP53 和免疫检查点分子频率较高、对蛋白激酶和血管生成抑制剂高度敏感。此外,通过 LASSO 惩罚 Cox 回归分析选择了 14 个基因用于构建与衰老相关的风险特征。构建的衰老风险特征显示出良好的预测能力,并且列线图显示出比传统 CRC 分期系统更强的判别能力。总之,本研究成功建立了结直肠癌的衰老亚型和年轻亚型,有助于识别具有衰老特征的患者,以评估预后和治疗结果。将基于衰老的亚型引入临床关注和患者预后提供了个性化 CRC 治疗的新机会。