Frontiers in Immunology (Jan 2023)

Development of a prognostic model to identify the metastatic nasopharyngeal carcinoma patients who may benefit from chemotherapy combination PD-1 inhibitor

  • Guo-Ying Liu,
  • Guo-Ying Liu,
  • Nian Lu,
  • Nian Lu,
  • Wei-Xin Bei,
  • Wei-Xin Bei,
  • Wang-Zhong Li,
  • Wang-Zhong Li,
  • Hu Liang,
  • Hu Liang,
  • Wei-Xiong Xia,
  • Wei-Xiong Xia,
  • Yan-Qun Xiang,
  • Yan-Qun Xiang,
  • He-Rui Yao

DOI
https://doi.org/10.3389/fimmu.2023.1069010
Journal volume & issue
Vol. 14

Abstract

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BackgroundWe aimed to establish a prognostic model to identify suitable candidates for chemotherapy combination PD-1 inhibitor in metastatic nasopharyngeal carcinoma (NPC) patients.Patients and methodsIn 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.ResultsA 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.ConclusionsOur 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.

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