Data_Sheet_5_Identification of a Hypoxia-Related Gene Signature for Predicting Systemic Metastasis in Prostate Cancer.XLSX

Background: Systemic metastasis is the main cause of death in patients with prostate cancer. It is necessary to establish a more accurate model to distinguish and predict patients with a high risk of metastasis to optimize individualized treatment.Methods: In this study, it was determined that hypoxia could affect the metastasis-free survival of patients with prostate cancer, and a hypoxia-related gene signature composed of seven genes for predicting metastasis was established and verified in different cohorts. The study further evaluated the effects of ALDOB expression on the proliferation and invasion of the LNCaP and DU145 cell lines under hypoxia and finally constructed a nomogram containing specific clinical characteristics of prostate cancer combined with the hypoxia gene signature to quantify the metastasis risk of individual patients.Results: The hypoxia-related gene signature was identified as an independent risk factor for metastasis-free survival in patients with prostate cancer. The expression of ALDOB increased under hypoxia and promoted the proliferation and invasion of LNCaP and DU145 cells. In addition, patients with a high risk score showed therapeutic resistance and immunosuppression. Compared with other parameters, the nomogram had the strongest predictive power and net clinical benefit.Conclusion: The study established a hypoxia-related gene signature and a nomogram to distinguish and predict patients with a high risk of prostate cancer metastasis, which may help to optimize individualized treatment and explore possible therapeutic targets.

背景：前列腺癌患者的主要死因是系统性转移。建立更精确的模型以区分和预测高转移风险患者，以优化个体化治疗至关重要。方法：本研究确定缺氧可影响前列腺癌患者的无转移生存期，并建立了一个包含七个基因的缺氧相关基因特征，以预测转移并在不同的队列中进行验证。研究进一步评估了ALDOB表达在缺氧条件下对LNCaP和DU145细胞系增殖和侵袭的影响，并最终构建了一个包含前列腺癌特异性临床特征和缺氧基因特征的Nomogram，以量化个体患者的转移风险。结果：缺氧相关基因特征被确认为前列腺癌患者无转移生存期的独立风险因素。ALDOB的表达在缺氧条件下增加，并促进了LNCaP和DU145细胞的增殖和侵袭。此外，高风险评分的患者表现出治疗抵抗和免疫抑制。与其它参数相比，该Nomogram具有最强的预测能力和净临床效益。结论：本研究建立了缺氧相关基因特征和Nomogram，以区分和预测前列腺癌高转移风险患者，这有助于优化个体化治疗并探索可能的靶向治疗。