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Background <p>Patients with nasopharyngeal carcinoma (NPC) are often diagnosed at advanced stages or with metastases, and they continue to face significant treatment challenges. Consequently, there is an urgent need to develop novel biomarkers to predict outcomes in these patients. Recently, the prognostic importance of pretreatment immunoinflammatory response in cancer patients has received increasing attention.</p> Methods <p>The clinical information of 361 patients with NPC in our clinical center was collected for analysis.</p> Results <p>High platelet-to-lymphocyte ratio (PLR) and systemic inflammatory response index (SIRI) were associated with poor overall survival (OS) in patients with NPC (<i>P</i> &lt; 0.05). These two indicators collectively formed the optimal combination model for predicting the prognosis of NPC. Notably, a nomogram model that integrated the PLR-SIRI-based risk score, TNM stage, EBV-DNA, gender, and age demonstrated a good ability to predict the 1-, 3-, 5- and 10-year OS rates for NPC patients. Importantly, the novel risk stratification derived from the nomogram model outperformed traditional risk stratification based on TNM stage in predicting the prognosis of NPC patients (<i>P</i> &lt; 0.001).</p> Conclusions <p>PLR and SIRI collectively form the optimal prognostic model for NPC patients, providing a prognostic risk stratification tool for clinical evaluation.</p>

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Platelet-to-lymphocyte ratio and systemic inflammation response index are the optimal combination for risk stratification in patients with nasopharyngeal carcinoma

  • 期刊论文

  • 发表日期：

    2026年6月18日

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  • Lin Xu,
  • Biwen Wu,
  • Ruiting Xian,
  • Yun Zhou,
  • Jiajun Li,
  • Zexin Yi,
  • Hanfei Tang,
  • Yonghao Li,
  • Peipei Wang,
  • Yong Wu

摘要

Background

Patients with nasopharyngeal carcinoma (NPC) are often diagnosed at advanced stages or with metastases, and they continue to face significant treatment challenges. Consequently, there is an urgent need to develop novel biomarkers to predict outcomes in these patients. Recently, the prognostic importance of pretreatment immunoinflammatory response in cancer patients has received increasing attention.

Methods

The clinical information of 361 patients with NPC in our clinical center was collected for analysis.

Results

High platelet-to-lymphocyte ratio (PLR) and systemic inflammatory response index (SIRI) were associated with poor overall survival (OS) in patients with NPC (P < 0.05). These two indicators collectively formed the optimal combination model for predicting the prognosis of NPC. Notably, a nomogram model that integrated the PLR-SIRI-based risk score, TNM stage, EBV-DNA, gender, and age demonstrated a good ability to predict the 1-, 3-, 5- and 10-year OS rates for NPC patients. Importantly, the novel risk stratification derived from the nomogram model outperformed traditional risk stratification based on TNM stage in predicting the prognosis of NPC patients (P < 0.001).

Conclusions

PLR and SIRI collectively form the optimal prognostic model for NPC patients, providing a prognostic risk stratification tool for clinical evaluation.