Hu Su-Wei, Wu Chia-Chang, Dong Shao-Wei, Tzou Kai-Yi, Chen Chih-Heng, Wang Yuan-Hung, Liu Yen-Nien, Liao Chiao-Chun, Li Chien-Hsiu
Department of Urology, Shuang Ho Hospital, Taipei Medical University, New Taipei City, Taiwan.
Taipei Medical University (TMU) Research Center of Urology and Kidney, Taipei Medical University, Taipei City, Taiwan.
Aging (Albany NY). 2025 Jun 23;17(6):1544-1570. doi: 10.18632/aging.206273.
The inability to effectively identify the formation of advanced-stage tumors poses a challenge in precisely determining when to intervene in prostate cancer (PCa). Despite the use of PSA as a screening factor, it still falls short in significantly improving the diagnosis and prognosis of advanced PCa. Identifying novel prognosis biomarkers to assist in confirming the progression of advanced PCa will contribute to more precise and effective therapeutic approaches. Through a comparative analysis between late-stage and early-stage TCGA-PRAD transcriptomes, KHDC4 has been identified as a key and specific member of the KHDC family that shows increased expression in PCa. The elevated levels of KHDC4 in late-stage and lymph node metastasis are positively correlated with poorer overall survival and disease-free survival rates in PCa patients. Simulated molecular regulation networks and results support the notion that the KHDC4-TRAF2 axis contributes to tumor malignancy features in late-stage and lymph node metastasis tumor samples, consequently correlating with worse progression-free interval and disease-free interval prognosis values in TCGA-PRAD. It is noteworthy that the positive correlation of the distribution of KHDC4 and TRAF2 with the Gleason score is superior to that of KLK3. Promoter analysis reveals that KHDC4 and TRAF2 share a similar upstream regulator, E2F4, for their transactivation. Molecular simulated profiles, mimicking downstream effectors under both KHDC4 and TRAF2 regulation, can be utilized as signatures for overall survival and disease-free survival prognosis purposes. In conclusion, this systematic analysis study indicates that the axis of KHDC4-TRAF2 may serve as a valuable prognostic model for evaluating advanced PCa.
无法有效识别晚期肿瘤的形成给精确确定何时干预前列腺癌(PCa)带来了挑战。尽管使用前列腺特异性抗原(PSA)作为筛查因素,但在显著改善晚期PCa的诊断和预后方面仍存在不足。识别新的预后生物标志物以协助确认晚期PCa的进展将有助于采取更精确有效的治疗方法。通过对晚期和早期TCGA-PRAD转录组的比较分析,KHDC4已被确定为KHDC家族的一个关键且特异性成员,其在PCa中表达增加。晚期和淋巴结转移中KHDC4水平的升高与PCa患者较差的总生存率和无病生存率呈正相关。模拟分子调控网络及结果支持KHDC4-TRAF2轴在晚期和淋巴结转移肿瘤样本中促成肿瘤恶性特征的观点,因此与TCGA-PRAD中较差的无进展生存期和无病生存期预后值相关。值得注意的是,KHDC4和TRAF2的分布与Gleason评分的正相关性优于激肽释放酶3(KLK3)。启动子分析表明,KHDC4和TRAF2在其反式激活方面共享一个相似的上游调节因子E2F4。模拟在KHDC4和TRAF2调控下的下游效应器的分子模拟图谱可作为总生存期和无病生存期预后评估的特征。总之,这项系统分析研究表明,KHDC4-TRAF2轴可能是评估晚期PCa的一个有价值的预后模型。