Tang Huarui, Zhou Fanyang, Hu Wentao, Zhang Chen, Tao Jianping, Xing Fawang, Zhang Zhenxing, Gao Yukui
Department of Urology, The First Affiliated Hospital of Wannan Medical College, Wuhu, China.
Transl Androl Urol. 2024 Nov 30;13(11):2482-2497. doi: 10.21037/tau-24-359. Epub 2024 Nov 28.
Understanding the molecular mechanisms and identifying prognostic markers across various subtypes and stages of prostate cancer (PCa) are crucial for improving therapeutic strategies against the disease. This study focuses on discovering novel immune-related biomarkers that could aid in the evaluation and prognosis of PCa at different stages and serve as promising therapeutic targets.
Transcriptomic and clinical data from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases were analyzed to identify differentially expressed genes (DEGs) linked to PCa progression. The relationship between immune cell infiltration in the tumor microenvironment (TME) and the expression levels of baculoviral inhibitor of apoptosis protein repeat containing 5 (BIRC5) and hyaluronan-mediated motility receptor (HMMR) were examined using xCELL and quanTIseq algorithms.
The analysis identified ten key hub genes, with survival analysis indicating that higher expressions of BIRC5 and HMMR were associated with poor outcomes and may contribute to tumor progression. Notably, the expressions of BIRC5 and HMMR showed a significant correlation with tumor-infiltrating lymphocytes (TILs) in various PCa subgroups. Immunohistochemistry (IHC) evaluations further corroborated the bioinformatics findings.
This study confirms BIRC5 and HMMR as potential biomarkers for predicting the prognosis of PCa, providing important evidence for the development of future therapeutic strategies. Through further research, these biomarkers may be utilized in clinical practice to improve patient management and treatment outcomes.
了解前列腺癌(PCa)不同亚型和阶段的分子机制并确定预后标志物,对于改进针对该疾病的治疗策略至关重要。本研究着重于发现新的免疫相关生物标志物,这些标志物有助于评估PCa不同阶段的预后,并可作为有前景的治疗靶点。
分析来自癌症基因组图谱(TCGA)和基因表达综合数据库(GEO)的转录组和临床数据,以鉴定与PCa进展相关的差异表达基因(DEG)。使用xCELL和quanTIseq算法检查肿瘤微环境(TME)中免疫细胞浸润与含杆状病毒凋亡蛋白重复序列5(BIRC5)和透明质酸介导的运动受体(HMMR)表达水平之间的关系。
分析确定了十个关键枢纽基因,生存分析表明BIRC5和HMMR的高表达与不良预后相关,可能促进肿瘤进展。值得注意的是,在各种PCa亚组中,BIRC5和HMMR的表达与肿瘤浸润淋巴细胞(TIL)显示出显著相关性。免疫组织化学(IHC)评估进一步证实了生物信息学研究结果。
本研究证实BIRC5和HMMR是预测PCa预后的潜在生物标志物,为未来治疗策略的开发提供了重要证据。通过进一步研究,这些生物标志物可用于临床实践,以改善患者管理和治疗效果。