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Introduction <p>: Lung cancer is a major global health issue with high variability in incidence and mortality. However, reliable predictive biomarkers for lung cancer prognosis remain lacking. The pan-immune-inflammation value (PIV) has emerged as a promising prognostic tool by reflecting systemic immune and inflammatory responses.</p> Methods <p>A meta-analysis was performed using data from Web of Science, PubMed, and PMC up to April 2025. Clinical studies involving lung cancer patients reporting hazard ratios (HRs) and 95% confidence intervals (CIs) for overall survival (OS) and progression-free survival (PFS) were included.</p> Results <p>A total of eleven articles met the inclusion criteria, encompassing 3,290 lung cancer patients. High PIV levels were consistently associated with poorer OS (HR = 2.364, 95% CI = 2.033–2.749, <i>P</i> &lt; 0.001) and PFS (HR = 1.975, 95% CI = 1.704–2.290, <i>P</i> &lt; 0.001). Notably, PIV predicted both OS and PFS outcomes across various treatment strategies, including PD-1/PD-L1 inhibitor therapy (OS: HR = 2.372, 95% CI = 1.867–3.013, <i>P</i> &lt; 0.001; PFS: HR = 1.830, 95% CI = 1.494–2.241, <i>P</i> &lt; 0.001). Additionally, subgroup analyses showed that PIV’s prognostic value remained consistent across different lung cancer types, analytical methods, PIV cutoff values, sample sizes, study regions, and follow-up durations (<i>P</i> &lt; 0.001). Sensitivity analyses confirmed the stability of these findings, with minimal heterogeneity across studies.</p> Conclusion <p>PIV is a robust prognostic marker for lung cancer, reliably predicting both OS and PFS. It offers valuable insights across various treatment strategies, including immunotherapy, and could enhance clinical decision-making by providing a cost-effective and reliable tool for evaluating patient prognosis.</p>

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Pan-immune-inflammation value in lung cancer: prognostic significance and implications for therapeutic guidance — a systematic review and meta-analysis

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年6月23日

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  • Shuailing Hong,
  • Jingting Liu,
  • Jun Cheng,
  • Chunyan Meng,
  • Baoqing Liu,
  • Jianhua Liao

摘要

Introduction

: Lung cancer is a major global health issue with high variability in incidence and mortality. However, reliable predictive biomarkers for lung cancer prognosis remain lacking. The pan-immune-inflammation value (PIV) has emerged as a promising prognostic tool by reflecting systemic immune and inflammatory responses.

Methods

A meta-analysis was performed using data from Web of Science, PubMed, and PMC up to April 2025. Clinical studies involving lung cancer patients reporting hazard ratios (HRs) and 95% confidence intervals (CIs) for overall survival (OS) and progression-free survival (PFS) were included.

Results

A total of eleven articles met the inclusion criteria, encompassing 3,290 lung cancer patients. High PIV levels were consistently associated with poorer OS (HR = 2.364, 95% CI = 2.033–2.749, P < 0.001) and PFS (HR = 1.975, 95% CI = 1.704–2.290, P < 0.001). Notably, PIV predicted both OS and PFS outcomes across various treatment strategies, including PD-1/PD-L1 inhibitor therapy (OS: HR = 2.372, 95% CI = 1.867–3.013, P < 0.001; PFS: HR = 1.830, 95% CI = 1.494–2.241, P < 0.001). Additionally, subgroup analyses showed that PIV’s prognostic value remained consistent across different lung cancer types, analytical methods, PIV cutoff values, sample sizes, study regions, and follow-up durations (P < 0.001). Sensitivity analyses confirmed the stability of these findings, with minimal heterogeneity across studies.

Conclusion

PIV is a robust prognostic marker for lung cancer, reliably predicting both OS and PFS. It offers valuable insights across various treatment strategies, including immunotherapy, and could enhance clinical decision-making by providing a cost-effective and reliable tool for evaluating patient prognosis.