ArticleJournal of cancer research and clinical oncology2023
Systemic immune-inflammation index during treatment predicts prognosis and guides clinical treatment in patients with nasopharyngeal carcinoma.
Article in Journal of cancer research and clinical oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.
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13 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.
- Prognostic significance of systemic immune-inflammation index in patients with ovarian cancer: a meta-analysis.Frontiers in oncology · 2023Pooled it
- Integration of neutrophil to high-density lipoprotein ratio for prognostic assessment of nasopharyngeal carcinoma: a large-scale long-term retrospective study.Frontiers in physiology · 2026Article
- Impact of systemic immune-inflammation index and its evaluation of optimal threshold in patients with limited-stage small cell lung cancer: a retrospective study based on 572 cases.Translational cancer research · 2025Article
- The association of systemic immune-inflammation index with incident breast cancer and all-cause mortality: evidence from a large population-based study.Frontiers in immunology · 2025Article
- 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
- Prognostic value of pretreatment peripheral blood hemoglobin×lymphocyte/monocyte ratio in patients with nasopharyngeal carcinoma.Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2024Article
- MRI radiomics and nutritional-inflammatory biomarkers: a powerful combination for predicting progression-free survival in cervical cancer patients undergoing concurrent chemoradiotherapy.Cancer imaging : the official publication of the International Cancer Imaging Society · 2024Article
- Novel prediction model combining PET/CT metabolic parameters, inflammation markers, and TNM stage: prospects for personalizing prognosis in nasopharyngeal carcinoma.Annals of nuclear medicine · 2024Article
- Development and validation of a nomogram to predicting the efficacy of PD-1/PD-L1 inhibitors in patients with nasopharyngeal carcinoma.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2024Article
- A single center retrospective study assessing the prognostic significance of pre-treatment neutrophil/lymphocyte ratio in locally advanced nasopharyngeal carcinoma.Translational cancer research · 2023Article
- Prognostic and clinicopathological impacts of systemic immune-inflammation index on patients with diffuse large B-cell lymphoma: a meta-analysis.Therapeutic advances in hematology · 2023Article
- Predictive value of immunotherapy-induced inflammation indexes: dynamic changes in patients with nasopharyngeal carcinoma receiving immune checkpoint inhibitors.Annals of medicine · 2023Article
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13 authors at 2 institutions in 1 country.
Funding
Abstract
purposeSystemic immune-inflammation index (SII) has been demonstrated to be closely associated with the poor prognosis of nasopharyngeal carcinoma (NPC). However, the role of SII during treatment of NPC has not been reported. This study aimed to determine the prognostic value of SII during treatment for NPC patients.
methodsA total of 759 patients diagnosed with NPC were included in this retrospective study (393 in training cohort and 366 in validation cohort). The correlation between variables was analyzed by the chi-squared test, the Fisher's exact test or the likelihood test. Kaplan-Meier method and log-rank test were used to analyze progression-free survival (PFS) and overall survival (OS). The independent prognostic factors were determined by multivariate analysis of Cox proportional hazards regression model. The uncontrolled risk was analyzed by Logistic regression. Receiver operating characteristic (ROC) curves were used to assess prognostic value.
resultsThe optimal cut-off point for the SII during treatment was 937.32. High SII during treatment group had higher uncontrolled risk than low SII during treatment group (p = 0.008). In multivariate Cox proportional hazard models analysis, SII during treatment was an independent prognostic factor for 5-year PFS (p < 0.001) and 5-year OS (p < 0.001). All results were found in the training cohort and confirmed in the validation cohort.
conclusionsThe SII during treatment is a promising indicator of predicting the survival in NPC patients, especially the risk of uncontrolled occurrence. By monitoring the SII during treatment, it is possible to better evaluate the treatment effect and formulate personalized treatment.
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