Guo Jinan, Zhao Chenhui, Zhang Xinzhou, Wan Zhong, Chen Tingting, Miao Jiashun, Cai Jinping, Xie Wenchuan, Chen Hao, Huang Mengli, Zhao Xiaochen, Wei Wei, Shen Qi
Department of Urology, The Second Clinical Medical College of Jinan University, Shenzhen People's Hospital, The First Affiliated Hospital of South University of Science and Technology of China Shenzhen, China.
Shenzhen Urology Minimally Invasive Engineering Center Shenzhen, China.
Am J Cancer Res. 2022 Jul 15;12(7):3318-3332. eCollection 2022.
Approximately 25% of prostate cancer (PCa) cases experience biochemical recurrence (BCR) following radical prostatectomy (RP). The patients with BCR, especially with BCR ≤2 year after RP (early BCR), are more likely to develop clinical metastasis and castration resistance. Now decision-making regarding BCR after RP relies solely on clinical parameters. We thus attempted to establish an early BCR-risk prediction model by combining a molecular signature with clinicopathological features for guiding clinical decision-making. In this study, an 8-gene signature was derived, and these eight genes were and . The Kaplan-Meier analysis revealed a significantly prolonged BCR-free survival in the patients with low-risk scores compared to those with high-risk scores in both training and validation datasets. Harrell's concordance index and time-dependent receiver operating characteristic analysis demonstrated that this gene signature tended to outperform three commercial panels at early BCR prediction. Moreover, this signature was also proven as an independent predictor of BCR-free survival. A nomogram, incorporating the gene signature and clinicopathologic features, was constructed and excellently predicted 1-, 2- and 3-year BCR-free survival of localized PCa patients after RP. Gene set enrichment analysis, tumor immunity, and mRNA expression profiling analysis showed that the high-risk group was more prone to the immunosuppressive microenvironment and impaired DNA damage response than the low-risk group. Collectively, we successfully developed a novel 8-gene signature as a powerful predictor for early BCR after RP and created a prognostic nomogram, which may help inform the clinical management of PCa.
大约25%的前列腺癌(PCa)患者在根治性前列腺切除术(RP)后会出现生化复发(BCR)。发生BCR的患者,尤其是RP后≤2年发生BCR(早期BCR)的患者,更有可能发生临床转移和去势抵抗。目前,关于RP后BCR的决策仅依赖于临床参数。因此,我们试图通过将分子特征与临床病理特征相结合来建立一个早期BCR风险预测模型,以指导临床决策。在本研究中,得出了一个8基因特征,这八个基因分别是 和 。Kaplan-Meier分析显示,在训练和验证数据集中,低风险评分患者的无BCR生存期明显长于高风险评分患者。Harrell一致性指数和时间依赖性受试者工作特征分析表明,在早期BCR预测方面,该基因特征往往优于三个商业检测板。此外,该特征也被证明是无BCR生存期的独立预测因子。构建了一个包含基因特征和临床病理特征的列线图,该列线图能很好地预测局限性PCa患者RP后1年、2年和3年的无BCR生存期。基因集富集分析、肿瘤免疫和mRNA表达谱分析表明,与低风险组相比,高风险组更容易出现免疫抑制微环境和DNA损伤反应受损。总体而言,我们成功开发了一种新型的8基因特征,作为RP后早期BCR的有力预测因子,并创建了一个预后列线图,这可能有助于指导PCa的临床管理。