Xiong Feng, Wang Bowen, Zhang Haoxun, Zhang Guoling, Tao Boju, Liu Yiwen, Wang Chunyang
Department of Urology Surgery, The First Affiliated Hospital of Harbin Medical University, Youzheng Street #23, Harbin, China.
Discov Oncol. 2025 Jun 19;16(1):1153. doi: 10.1007/s12672-025-02991-5.
Clear cell renal cell carcinoma (ccRCC) stands as the pivotal pathological subtype of renal cell carcinoma. However, there exists a dearth of pertinent biological targets crucial for advancing the clinical application of ccRCC. In our investigation, we employed the weighted gene co-expression network analysis (WGCNA) to discern 13 distinct gene co-expression modules, with the yellow module exhibiting a pronounced association with tumorigenesis. Concurrently, we scrutinized 6147 differentially expressed genes through rigorous differential expression analysis. Through an intersecting approach with the genes within the yellow module, we pinpointed 265 cancer-related genes displaying notable differential expression. Subsequent Cox-regression analysis unveiled that among the 265 genes, four were notably linked to ccRCC prognosis. Furthermore, we executed single-sample gene set enrichment analysis (ssGSEA) on the signature comprising these four genes, subsequently deriving normalized enrichment scores (NESs). This investigation substantiated that the said signature bears significant implications for prognosis, holding the potential to forecast the efficacy of immunotherapy.
透明细胞肾细胞癌（ccRCC）是肾细胞癌的关键病理亚型。然而，对于推进ccRCC临床应用至关重要的相关生物学靶点却十分匮乏。在我们的研究中，我们运用加权基因共表达网络分析（WGCNA）来识别13个不同的基因共表达模块，其中黄色模块与肿瘤发生呈现出显著关联。同时，我们通过严格的差异表达分析对6147个差异表达基因进行了仔细研究。通过与黄色模块内的基因进行交叉分析，我们确定了265个显示出显著差异表达的癌症相关基因。随后的Cox回归分析表明，在这265个基因中，有四个与ccRCC预后显著相关。此外，我们对包含这四个基因的特征进行了单样本基因集富集分析（ssGSEA），随后得出标准化富集分数（NESs）。这项研究证实，上述特征对预后具有重要意义，具有预测免疫治疗疗效的潜力。
