Song Xiaodong, Zhang Yu, Li Tiewen, Wang Wenhao, Xie Zhiwen, Han Bangmin
Department of Urology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200080, China.
Mol Biotechnol. 2025 Jan 6. doi: 10.1007/s12033-024-01322-3.
Androgen deprivation therapy (ADT) is the primary treatment strategy for prostate cancer. However, despite an initially favorable response, tumors inevitably progress to castration-resistant prostate cancer (CRPC). Therefore, the exploration of new therapeutic approaches targeting CRPC has become imperative. Increasing evidence suggests that hypoxia plays a crucial role in the development of CRPC. In this study, we found that the emergence of alkaliptosis resistance and the expression of its marker, CA9, significantly contribute to the progression of castration resistance induced by hypoxia. This study utilized bioinformatics approaches to identify genetic determinants associated with alkaliptosis resistance and explored the clinical significance of these marker genes. Transcriptomic sequencing was performed on the DU145 prostate cancer cell line, which had been induced to acquire alkaliptosis resistance. Using least absolute shrinkage and selection operator (LASSO) regression analysis, a prognostic risk model consisting of 12 genes, including ADORA2A, KCNG4, SEC14L5, B3GAT2, SLFNL1, FAM72D, CBWD3, PPM1K, STARD4, DEPDC1B, MATN3, and DDIAS was developed. The risk model score demonstrated a strong correlation with key patient clinical characteristics, including Gleason score, PSA levels, T stage, and N stage, and was also associated with immune therapy response and biochemical recurrence-free survival (BCRFS). Furthermore, ADORA2A expression in cellular models was found to be a critical factor in promoting alkaliptosis resistance.
雄激素剥夺疗法(ADT)是前列腺癌的主要治疗策略。然而,尽管最初反应良好,但肿瘤不可避免地会进展为去势抵抗性前列腺癌(CRPC)。因此,探索针对CRPC的新治疗方法变得势在必行。越来越多的证据表明,缺氧在CRPC的发展中起关键作用。在本研究中,我们发现碱中毒抗性的出现及其标志物CA9的表达显著促进了缺氧诱导的去势抵抗的进展。本研究利用生物信息学方法鉴定与碱中毒抗性相关的遗传决定因素,并探讨这些标志物基因的临床意义。对已诱导获得碱中毒抗性的DU145前列腺癌细胞系进行转录组测序。使用最小绝对收缩和选择算子(LASSO)回归分析,建立了一个由12个基因组成的预后风险模型,包括ADORA2A、KCNG4、SEC14L5、B3GAT2、SLFNL1、FAM72D、CBWD3、PPM1K、STARD4、DEPDC1B、MATN3和DDIAS。风险模型评分与关键患者临床特征(包括Gleason评分、PSA水平、T分期和N分期)密切相关,还与免疫治疗反应和无生化复发生存(BCRFS)相关。此外,在细胞模型中发现ADORA2A表达是促进碱中毒抗性的关键因素。