ArticleTherapeutic advances in medical oncology2024
Prognostic value of immune-inflammatory and nutrition indicators in non-metastatic nasopharyngeal carcinoma with negative plasma Epstein-Barr virus DNA.
Article in Therapeutic advances in medical oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.
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Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Prognostic significance of inflammation-based markers in nasopharyngeal carcinoma: a systematic review and meta-analysis.Frontiers in oncology · 2026Pooled it
- Development of a Machine Learning‑Based Prognostic Model for Intermediate Trophoblastic Tumors: A Single-Center Study With Web-Based Tool Implementation.JCO precision oncology · 2026Article
- Dynamic prognostic nutritional index trajectories predict survival outcomes in nasopharyngeal carcinoma with persistently undetectable plasma Epstein-Barr virus DNA.Frontiers in nutrition · 2026Article
- Treatment and clinical outcomes among stage II-IVA nasopharyngeal carcinoma patients with undetectable pretreatment Epstein-Barr viral DNA.Frontiers in medicine · 2026Article
- Prognostic implications of EBER and EBV DNA combinations in nasopharyngeal carcinoma in endemic areas.BMC oral health · 2025Observational
- The predictive value of the systemic inflammation-nutrition index for treatment response and prognosis in patients with locally advanced gastrointestinal stromal tumors receiving neoadjuvant imatinib therapy: a dual-center retrospective cohort study.Therapeutic advances in medical oncology · 2025Article
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10 authors.
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Abstract
Background: Plasma Epstein-Barr virus (EBV) DNA has been identified as a significant prognostic marker for nasopharyngeal carcinoma (NPC), yet there is limited research on the prognosis of NPC patients with negative EBV DNA. Objectives: We explore the prognostic value of comprehensive immune-inflammatory and nutritional indicators to offer personalized treatment recommendations and prognosis predictions for non-metastatic NPC patients with negative EBV DNA. Design: This was a retrospective study. Methods: This study retrospectively analyzed 257 non-metastatic NPC patients with negative EBV DNA between January 2015 and December 2019. The Kaplan-Meier survival curves evaluated survival endpoints, and group discrepancies were assessed with log-rank tests. Principal component analysis (PCA) reduced data dimensionality. Univariate and multivariate Cox regression analyses identified significant prognostic variables. Risk stratification was performed based on recursive partitioning analysis (RPA). A robust prognostic model was constructed by nomogram and evaluated by calibration curves, decision curves, and the time-dependent area under the curve analysis. Results: PCA was employed to compute the immune-inflammation index (III) and nutrition index (NI). Multivariate Cox regression analysis revealed lactate dehydrogenase, III, and NI as significant prognostic variables for overall survival (OS). Utilizing RPA, we stratified the risk into three categories: low-risk group (low III + high NI), middle-risk group (low III + low NI), and high-risk group (high III). Both the middle- ( Conclusion: Our study validated the prognostic significance of III and NI in non-metastatic NPC patients with negative EBV DNA. Additionally, a clinical risk stratification was constructed to offer valuable insights into the individualized treatment of these patients.
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