Our study screened key core genes from a human CKD dataset and constructed a CKD progression risk prediction model. The core genes associated with the occurrence and progression of CKD, such as the minimal gene set (CCL2, SUCLG1, and ACADM) and the moderate gene set (CCL2, GGT6, PCK2, SFXN2, SLC34A3, ALPL, GLTPD2, ACADM, and SUCLG1), are closely related to the progression-free survival prognosis in CKD patients. Additionally, these genes are also closely related to the overall survival prognosis in patients with renal clear cell carcinoma. We believe that the gene sets identified in this study have potential experimental research value for investigating the mechanisms in CKD and renal clear cell carcinoma.
慢性肾病核心基因筛选与风险预测模型构建
本研究从人类CKD数据集中筛选出关键核心基因，构建了CKD进展风险预测模型。核心基因如最小基因集（CCL2、SUCLG1、ACADM）和中度基因集（CCL2、GGT6、PCK2、SFXN2、SLC34A3、ALPL、GLTPD2、ACADM、SUCLG1）与CKD患者的无进展生存预后密切相关。此外，这些基因也与肾透明细胞癌患者的总生存预后密切相关。我们认为本研究中识别的基因集对于研究CKD和肾透明细胞癌的机制具有潜在实验研究价值。
与梅斯小智对话
