Journal of International Oncology ›› 2026, Vol. 53 ›› Issue (4): 207-212.doi: 10.3760/cma.j.cn371439-20250919-00034

• Original Article • Previous Articles     Next Articles

Relationship between pan-immune inflammation value and clinicopathological features of non-small cell lung cancer and predictive analysis for bone metastasis

Wang Minjie, Lai Minghong, Cai Zhuoxin, Tang Yu, Zhang Caijin()   

  1. Department of Respiratory909th Hospital (Dongnan Hospital of Xiamen University)Zhangzhou 363000, China
  • Received:2025-09-19 Online:2026-04-08 Published:2026-04-01
  • Contact: Zhang Caijin E-mail:zcj3757256@163.com

Abstract:

Objective To investigate the relationship between pan-immune inflammation value (PIV) and clinicopathological features of non-small cell lung cancer (NSCLC), and its predictive effect on bone metastasis. Methods A retrospective analysis was conducted on the clinical data of 157 NSCLC patients admitted to the 909th Hospital (Dongnan Hospital of Xiamen University) from January 2020 to December 2022. According to the occurrence of bone metastasis, the patients were divided into bone metastasis group (n=57) and non-metastasis group (n=100). The differences of PIV among NSCLC patients with different clinicopathological features were compared. The receiver operator characteristic (ROC) curve was used to analyze the predictive value of PIV for bone metastasis in NSCLC patients, and the differences of clinicopathological features between the two groups were compared. Multivariate logistic regression analysis was used to identify the influencing factors for bone metastasis in NSCLC patients. Results The PIVs of patients with tumor longest diameter ≥3 cm (t=-3.09, P=0.002), lymph node metastasis (t=2.80, P=0.006), TNM stage Ⅲ (t=-3.56, P=0.001), and bone metastasis (t=13.39, P<0.001) were all higher than those of patients with tumor longest diameter <3 cm, without lymph node metastasis, TNM stage Ⅰ-Ⅱ, and without bone metastasis. ROC curve analysis showed that the area under the curve of PIV for predicting bone metastasis in NSCLC patients was 0.946 (95%CI: 0.912-0.979), with the optimal cut-off value of 424.5, sensitivity of 0.732 and specificity of 0.990. The proportions of patients with tumor longest diameter ≥3 cm (χ²=10.24, P=0.001), lymph node metastasis (χ²=5.63, P=0.018), TNM stage Ⅲ (χ²=11.39, P=0.001), and PIV ≥424.5 (χ²=34.59, P<0.001) in the bone metastasis group were higher than those in the non-metastasis group. Multivariate analysis showed that tumor longest diameter ≥3 cm (OR=3.02, 95%CI: 1.35-6.79, P=0.007), lymph node metastasis (OR=2.38, 95%CI: 1.07-5.32, P=0.035), TNM stage Ⅲ (OR=2.88, 95%CI: 1.31-6.32, P=0.009), and PIV ≥424.5(OR=6.61, 95%CI: 2.99-14.59, P<0.001) were independent risk factors for bone metastasis in NSCLC patients. Conclusions PIV is elevated in NSCLC patients with tumor longest diameter ≥3 cm, lymph node metastasis, TNM stage Ⅲ, and bone metastasis. Elevated PIV has predictive value for bone metastasis, and may serve as a new biomarker for bone metastasis in NSCLC.

Key words: Carcinoma, non-small-cell lung, Prognosis, Bone metastasis