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神经递质受体相关基因在结肠腺癌中的诊断和预后价值。

The Diagnostic and Prognostic Value of Neurotransmitter Receptor-Related Genes in Colon Adenocarcinoma.

机构信息

Department of Gastroenterology, The Second Xiangya Hospital, Central South University, Changsha, 410011, Hunan, People's Republic of China.

Research Center of Digestive Disease, The Second Xiangya Hospital, Central South University, Changsha, 410011, Hunan, People's Republic of China.

出版信息

Mol Biotechnol. 2024 Oct;66(10):2934-2945. doi: 10.1007/s12033-023-00910-z. Epub 2023 Oct 13.

Abstract

Colorectal cancer (CRC) is a malignant tumor with high morbidity and mortality in the world. This study aimed to find receptor-related genes (NRGs) with diagnostic and prognostic value in colon adenocarcinoma (COAD). The Cancer Genome Atlas (TCGA) and the Human Protein Atlas database databases were applied to find differential expression NRGs between COAD and normal colonic tissues. Subsequently, Cox regression analysis and minimum absolute contraction and selection operator algorithm were used to construct a prognosis nomogram based on TCGA and Gene Expression Omnibus databases. Expression levels of 35 NRGs were significant differences in COAD and normal colonic tissues. ROC curves showed that 24 NRGs had high diagnostic accuracy (AUC > 0.850) in COAD. Risk score was constructed based on 10 NRGs for the first time. Cox regression analysis revealed risk score was an independent risk factor and a higher risk score predicts a later TNM stage. Finally, a prognostic nomogram containing risk score and clinical features was established. Calibration curves and C-index suggested the powerful predictable value of the model. This study identified the NRGs with diagnostic value and prognostic value, providing a direction for treatment of COAD patients.

摘要

结直肠癌(CRC)是一种在世界范围内发病率和死亡率都很高的恶性肿瘤。本研究旨在寻找在结肠腺癌(COAD)中具有诊断和预后价值的受体相关基因(NRGs)。应用癌症基因组图谱(TCGA)和人类蛋白质图谱数据库数据库来寻找 COAD 和正常结肠组织之间差异表达的 NRGs。随后,Cox 回归分析和最小绝对收缩和选择算子算法被用于基于 TCGA 和基因表达综合数据库构建预后列线图。35 个 NRGs 的表达水平在 COAD 和正常结肠组织中有显著差异。ROC 曲线表明,24 个 NRGs 在 COAD 中具有较高的诊断准确性(AUC>0.850)。首次基于 10 个 NRGs 构建了风险评分。Cox 回归分析表明,风险评分是一个独立的危险因素,较高的风险评分预示着较晚的 TNM 分期。最后,建立了一个包含风险评分和临床特征的预后列线图。校准曲线和 C 指数表明该模型具有强大的预测价值。本研究鉴定了具有诊断价值和预后价值的 NRGs,为 COAD 患者的治疗提供了方向。

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