II Clinic of Urology, Medical University of Lodz, Pabianicka 62, 93-513 Lodz, Poland.
Department of Molecular Carcinogenesis, Medical University of Lodz, Żeligowskiego 7/9, 90-752 Lodz, Poland.
Int J Mol Sci. 2023 May 7;24(9):8399. doi: 10.3390/ijms24098399.
The molecular determinants of the heterogenic course of prostate cancer (PC) remain elusive. We aimed to determine the drivers predisposing to unfavorable PC outcomes anticipated by BCR events among patients of similar preoperative characteristics. The TCGA transcriptomic and clinical data of 497 PC individuals were used, stratified according to the risk of BCR by EAU-EANM-ESTRO-ESUR-SIOG. The relevance of the functional markers regarding BCR-free survival was examined by the cutp algorithm. Through UpSetR, subgroups of PC patients bearing an unfavorable signature were identified, followed by the hierarchical clustering of the major markers of the epithelial-to-mesenchymal transition (EMT). BCR-free survival was estimated with the Cox proportional hazards regression model. significantly differentiated BCR-free survival, whereas did not. An elevation in correlated with better prognosis, although , , , and predicted BCR better than the preoperative PSA level. Patients sharing an unfavorable profile of and together with lymph node status, Gleason score, T, and EAU risk groups were at a higher risk of BCR originating from mesenchymal features of PC cells. To conclude, we revealed an -driven unfavorable profile of EMT underpinning a worse PC trajectory. may have a major role in PC progression; therefore, it could become a major focus for further investigations.
前列腺癌(PC)异质性病程的分子决定因素仍难以捉摸。我们旨在确定在术前特征相似的患者中,哪些驱动因素会导致预计发生 BCR 事件的不利 PC 结局。使用了 TCGA 转录组和 497 名 PC 个体的临床数据,根据 EAU-EANM-ESTRO-ESUR-SIOG 的 BCR 风险进行分层。通过 cutp 算法检查功能标记物与 BCR 无复发生存的相关性。通过 UpSetR 确定了具有不利特征的 PC 患者亚组,然后对上皮-间充质转化(EMT)的主要标记物进行层次聚类。使用 Cox 比例风险回归模型估计 BCR 无复发生存率。 和 显著区分了 BCR 无复发生存率,而 没有。 的升高与预后较好相关,尽管 、 、 、 和 比术前 PSA 水平更能预测 BCR。具有 和 不良特征以及淋巴结状态、Gleason 评分、T 和 EAU 风险组的患者,其源自 PC 细胞间质特征的 BCR 风险更高。总之,我们揭示了 EMT 驱动的不良特征,预示着更差的 PC 轨迹。 可能在 PC 进展中起主要作用;因此,它可能成为进一步研究的重点。