Department of Urology, Faculty of Medicine, Universitas Pelita Harapan, Tangerang, Banten, Indonesia.
Department of Urology, Faculty of Medicine, Universitas Pelita Harapan, Tangerang, Banten, Indonesia.
Clin Genitourin Cancer. 2024 Oct;22(5):102142. doi: 10.1016/j.clgc.2024.102142. Epub 2024 Jun 24.
The concentration of albumin and lymphocyte in the body can serve as indicators of both nutritional status and inflammation. The predictive significance of the prognostic nutritional index (PNI) has been documented in multiple cancer types. Consequently, a meta-analysis was conducted in order to investigate the prognostic impact of PNI on survival outcomes among individuals diagnosed with prostate cancer.
A systematic search was conducted across 4 electronic databases to identify pertinent studies that evaluated the predictive significance of pretreatment PNI in patients with prostate cancer. The outcomes of interest in this study were overall survival (OS) and progression-free survival (PFS). The researchers utilized random-effect models to summarize the time-to-event outcomes, presenting the results as adjusted hazard ratios (aHR) along with their corresponding 95% confidence intervals (CI).
A total of 2229 prostate cancer patients in 13 studies were included. Pooled analysis from these studies showed that low PNI value was associated with shorter OS [aHR 1.99 (95% CI, 1.45-2.72), P < .0001], and PFS [aHR 1.97 (95% CI, 1.55-2.51), P < .00001]. Sub-group analysis revealed that the ability of PNI to predict poor outcomes was better observed in patients with metastatic castration-resistant prostate cancer (mCRPC) and those who received androgen receptor pathway inhibitors (ARPIs).
This study suggests the role of PNI in predicting the survival and progression of prostate cancer. PNI values can be used in the risk stratification of patients with prostate cancer.
白蛋白和淋巴细胞在体内的浓度可作为营养状况和炎症的指标。预后营养指数(PNI)在多种癌症类型中的预测意义已有相关记载。因此,我们进行了一项荟萃分析,旨在研究 PNI 对前列腺癌患者生存结局的预后影响。
我们系统性地检索了 4 个电子数据库,以确定评估预处理 PNI 对前列腺癌患者预测意义的相关研究。本研究的主要转归指标为总生存(OS)和无进展生存(PFS)。我们采用随机效应模型对时间依赖的结局指标进行汇总,以调整后的危险比(aHR)及其对应的 95%置信区间(CI)呈现结果。
共有 13 项研究的 2229 例前列腺癌患者纳入分析。汇总分析显示,低 PNI 值与 OS 较短相关[aHR 1.99(95%CI,1.45-2.72),P <.0001],与 PFS 较短相关[aHR 1.97(95%CI,1.55-2.51),P <.00001]。亚组分析显示,PNI 预测不良结局的能力在转移性去势抵抗性前列腺癌(mCRPC)患者和接受雄激素受体通路抑制剂(ARPIs)治疗的患者中观察更为显著。
本研究表明 PNI 可预测前列腺癌的生存和进展,PNI 值可用于前列腺癌患者的风险分层。