ArticleJournal of the National Cancer Center2022
Pretreatment systemic immune-inflammation index predicts survival for non-metastatic nasopharyngeal carcinoma: two independent institutional studies.
Article in Journal of the National Cancer Center, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Prognostic value of neutrophil-to-lymphocyte ratio in nasopharyngeal carcinoma: a systematic review and meta-analysis of 30 cohorts through June 30, 2026.Translational cancer research · 2026Article
- Prognostic Impact of Advanced Lung Cancer Inflammation Index (ALI) on Immunotherapy Outcomes in Recurrent or Metastatic Nasopharyngeal Carcinoma: A Multicenter Post Hoc Analysis.Journal of inflammation research · 2025Article
- Systemic immune-inflammation index: a key biomarker guiding personalized adjuvant chemotherapy in intrahepatic cholangiocarcinoma.Frontiers in oncology · 2025Article
- Harnessing the Systemic Immunoinflammatory Index as a Potential Predictive Tool for Recurrent or Metastatic Nasopharyngeal Carcinoma Undergoing PD-L1 Inhibitor.Journal of inflammation research · 2024Article
- Prognostic Value of a Serum Panel of Inflammatory Factors in Non-Metastatic Nasopharyngeal Carcinoma Patients Undergoing Radical Radiotherapy with Adjuvant Chemotherapy.Cancer management and research · 2022Article
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Authors and funding
20 authors.
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Abstract
Objective: This study aimed to evaluate the prognostic value of the pretreatment systemic immune-inflammation index (SII) in non-metastatic nasopharyngeal carcinoma (NPC). Methods: We retrospectively analyzed the data of 839 patients with non-metastatic NPC recruited from two independent institutions. The training-set cohort and the external validation-set cohort was comprised of 459 and 380 patients from each institution, respectively. The optimal cut-off value of SII was determined, and a prognostic risk stratification model was developed based on the training cohort and further assessed in the validation cohort. The propensity score matching (PSM) method was applied to minimize the confounding effects of unbalanced covariables. Results: The optimal cut-off value of the SII in the training cohort was 686, which was confirmed using the validation cohort. Multivariate analysis showed that both before and after PSM, SII values > 686 were independently associated with worse progression-free survival (PFS) ratio in both cohorts (before PSM, Conclusion: Pretreatment SII predicts PFS of patients with non-metastatic NPC. Prognostic risk stratification incorporating SII is instructive for selecting individualized treatment.
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