Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Medical Research Center, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China.
Department of Radiotherapy, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China.
Front Immunol. 2023 Jan 17;14:1069010. doi: 10.3389/fimmu.2023.1069010. eCollection 2023.
We aimed to establish a prognostic model to identify suitable candidates for chemotherapy combination PD-1 inhibitor in metastatic nasopharyngeal carcinoma (NPC) patients.
In this retrospective study, we included 524 patients (192 patients treated with chemotherapy combination PD-1 inhibitor and 332 received chemotherapy alone as first-line regimen) with metastatic NPC between January 2015 and March 2021. We developed a prognostic model to predict progression-free survival (PFS). A model-based trees approach was applied to estimate stratified treatment effects using prognostic scores and two well-matched risk groups (low-risk and high-risk) were created using propensity score matching.
A prognostic nomogram was established with good accuracy for predicting PFS (c-index values of 0.71; 95% confidence interval, 0.66-0.73). The survival curves were significantly different between low-risk and high-risk groups (median PFS: 9.8 vs. 22.8 months, P < 0.001, respectively). After propensity matching analysis, chemotherapy combination PD-1 inhibitor was significantly associated with superior PFS as compared with chemotherapy alone (median PFS, 10.6 versus 9.3 months, P = 0.016) in the high-risk group. However, no significant difference between chemotherapy combination PD-1 inhibitor and chemotherapy was observed (P = 0.840) in the low-risk groups.
Our novel prognostic model was able to stratify patients with metastatic NPC into low-risk or high-risk groups and identify candidates for PD-1 inhibitor therapy. These results are expected to be confirmed by a prospective clinical trial.
我们旨在建立一个预后模型,以确定转移性鼻咽癌(NPC)患者接受化疗联合 PD-1 抑制剂治疗的合适人选。
在这项回顾性研究中,我们纳入了 524 名转移性 NPC 患者(192 名接受化疗联合 PD-1 抑制剂治疗,332 名接受化疗作为一线治疗),这些患者的治疗时间为 2015 年 1 月至 2021 年 3 月。我们开发了一个预后模型来预测无进展生存期(PFS)。采用基于模型的树方法,使用预后评分估计分层治疗效果,并使用倾向评分匹配创建两个匹配良好的风险组(低风险组和高风险组)。
建立了一个具有良好准确性的预后列线图,用于预测 PFS(c 指数值为 0.71;95%置信区间,0.66-0.73)。低风险组和高风险组的生存曲线有显著差异(中位 PFS:9.8 与 22.8 个月,P<0.001)。经过倾向评分匹配分析,在高风险组中,与单独化疗相比,化疗联合 PD-1 抑制剂与更好的 PFS 相关(中位 PFS:10.6 与 9.3 个月,P=0.016)。然而,在低风险组中,化疗联合 PD-1 抑制剂与化疗之间没有观察到显著差异(P=0.840)。
我们的新预后模型能够将转移性 NPC 患者分为低风险或高风险组,并确定 PD-1 抑制剂治疗的候选者。这些结果有望通过前瞻性临床试验得到证实。