Development of a web-based prognostic model to quantify the survival benefit of cumulative cisplatin dose during concurrent chemoradiotherapy in childhood nasopharyngeal carcinoma.

Jin, Ya-Nan; Yang, Qian-Qiong; Li, Zi-Qian; Ou, Xue-Qing; Zhang, Wang-Jian; Marks, Tia; Yao, Ji-Jin; Xia, Liang-Ping · Radiother Oncol · 2022

retrospective_cohort · Level III

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Abstract

To quantify and predict the survival benefits of cumulative cisplatin dose during concurrent chemoradiotherapy (CC-CCD) in children and adolescents with locoregionally advanced nasopharyngeal carcinoma (CA-LANPC). Patients with CA-LANPC who received first-line neoadjuvant chemotherapy (NAC) followed by concurrent chemoradiotherapy (CCRT) between September 2007 and April 2018 were evaluated. Recursive partitioning analyses (RPAs) helped identify the ideal thresholds of CC-CCD on disease-free survival (DFS). We then developed a web-based predictive model to quantify the survival benefit of CC-CCD for CA-LANPC. In total, 139 patients were eligible for the analysis. The median CC-CCD was 162 mg/m<sup>2</sup> (IQR, 138-192 mg/m<sup>2</sup>). The optimum cut-off point of CC-CCD was 160 mg/m<sup>2</sup> for DFS. Hence, we selected 160 mg/m<sup>2</sup> as the cut-off to classify CA-LANPC into either high or low CC-CCD groups for survival analysis. The 5-year DFS rates were 91.6% in the high (≥160 mg/m<sup>2</sup>) CC-CCD group and 77.8% in the low (<160 mg/m<sup>2</sup>) CC-CCD group (P = 0.011). Multivariate analysis indicated CC-CCD (HR, 0.34; 95%CI, 0.13-0.87; P = 0.024), T stage (HR, 3.72; 95%CI, 1.35-10.22; P = 0.011), and EBV DNA (HR, 3.00; 95%CI, 1.00-8.97; P = 0.049) were independent prognostic factors and were incorporated into the prognostic model. N stage was also included due to its clinical importance. The predictive model was demonstrably accurate (C-index, 0.741) when predicting 5-year DFS rates. We built a predictive model to quantify the survival benefit of CC-CCD for CA-LANPC treated with NAC plus CCRT. This tool may improve individual treatment consultations and facilitate evidence-based decision-making.

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