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Plasma Epstein-Barr viral DNA load after completion of two cycles of induction chemotherapy predicts outcomes for patients with advanced-stage nasopharyngeal carcinoma

Jingfeng Zong, Pengjie Ji, Cheng Lin, Ruiting Zhang, Yuebing Chen, Qiongjiao Lu, Xian‐E Peng, Jianji Pan, Shaojun Lin

2022Oral Oncology17 citationsDOIOpen Access PDF

Abstract

To evaluate the prognostic value of plasma Epstein-Barr virus DNA level following the completion of two induction chemotherapy cycles (ICT; post2CICT-DNA) in locoregionally advanced nasopharyngeal carcinoma (LA-NPC). This retrospective study included 534 patients with LA-NPC. Recursive partitioning analysis (RPA) was applied to derive a prognostic model for risk stratification. Kaplan-Meier survival analysis was used to determine the survival results, and survival rates were compared using the log-rank test. The Cox proportional hazard model was used for univariate and multivariate analyses. Multivariate analyses revealed that post2CICT-DNA and N stage were independent predictors of overall survival (OS; P = 0.001 and P = 0.001, respectively), and post2CICT-DNA, pre-treatment DNA, and N stage were independent predictors of progression-free survival (PFS; P = 0.002, P = 0.001, and P = 0.021, respectively).Based on prognostic factors (pre-treatment DNA, post2CICT-DNA, and N stage), patients were stratified into three risk subgroups, with 288 patients in the low-, 213 in the intermediate-, and 33 in the high-risk group. The three-year OS rate of the low-, intermediate- and high-risk groups were 99.3% (95% CI 98.3%-100.0%), 90.0% (95% CI 85.5%-94.5%) and 67.0% (95% CI 49.9%-84.1%, P < 0.001 for each of the two groups), respectively. Plasma EBV-DNA level after two ICT cycles is a powerful predictor of prognosis in patients with LA-NPC. RPA analysis revealed that stage N3 patients with detectable post2CICT-DNA are at the highest risk of treatment failure, and future clinical trials should focus on early-treatment modification strategies for these patients.

Topics & Concepts

Nasopharyngeal carcinomaInternal medicineOncologyProportional hazards modelHazard ratioStage (stratigraphy)MedicineMultivariate analysisInduction chemotherapySurvival analysisViral loadGastroenterologyUnivariate analysisChemotherapyCarcinomaRetrospective cohort studyRadiation therapyImmunologyBiologyVirusConfidence intervalPaleontologyHead and Neck Cancer StudiesViral-associated cancers and disordersEsophageal Cancer Research and Treatment