Department of Urology, Hebei Medical University, Shijiazhuang, China.
Department of Urology, Qinhuangdao First Hospital, No. 258 Wenhua Road, Haigang District, Qinhuangdao, 066000, China.
J Cancer Res Clin Oncol. 2024 Aug 1;150(8):376. doi: 10.1007/s00432-024-05899-9.
Prostate cancer (PCa) is common in aging males, diagnosed via the Gleason grading system. The study explores the unexamined prognostic value of cuprotosis, a distinct cell death type, alongside Gleason grades in PCa.
We explored Cuprotosis-related genes (CRGs) in prostate cancer (PCa), using NMF on TCGA-PRAD data for patient classification and WGCNA to link genes with Gleason scores and prognosis. A risk model was crafted via LASSO Cox regression. STX3 knockdown in PC-3 cells, analyzed for effects on cell behaviors and tumor growth in mice, highlighted its potential therapeutic impact.
We identified five genes crucial for a prognostic risk model, with higher risk scores indicating worse prognosis. Survival analysis and ROC curves confirmed the model's predictive accuracy in TCGA-PRAD and GSE70769 datasets. STX3 was a key adverse prognostic factor, with its knockdown significantly reducing mRNA and protein levels, impairing PC-3 cell functions. In vivo, STX3 knockdown in PC-3 cells led to significantly smaller tumors in nude mice, underscoring its potential therapeutic value.
Our prognostic model, using five genes linked to Gleason scores, effectively predicts prostate cancer outcomes, offering a novel treatment strategy angle.
前列腺癌（PCa）在老年男性中较为常见，通过格里森分级系统进行诊断。本研究探讨了杯状细胞死亡（一种独特的细胞死亡类型）与格里森评分一起在 PCa 中的未被研究的预后价值。
我们使用 TCGA-PRAD 数据的 NMF 对前列腺癌（PCa）中的 Cuprotosis 相关基因（CRGs）进行了探索，用于患者分类，并使用 WGCNA 将基因与格里森评分和预后联系起来。通过 LASSO Cox 回归构建风险模型。在 PC-3 细胞中敲低 STX3，分析其对细胞行为和小鼠肿瘤生长的影响，突出了其潜在的治疗作用。
我们确定了五个对预后风险模型至关重要的基因，较高的风险评分表明预后较差。生存分析和 ROC 曲线在 TCGA-PRAD 和 GSE70769 数据集上证实了该模型的预测准确性。STX3 是一个关键的不良预后因素，其敲低显著降低了 PC-3 细胞的 mRNA 和蛋白水平，损害了其功能。在体内，PC-3 细胞中 STX3 的敲低导致裸鼠中的肿瘤明显缩小，突出了其潜在的治疗价值。
我们的预后模型使用与格里森评分相关的五个基因，可有效预测前列腺癌的结局，为治疗策略提供了一个新的角度。
