Carcinogenesis, Teratogenesis & Mutagenesis ›› 2023, Vol. 35 ›› Issue (1): 43-48.doi: 10.3969/j.issn.1004-616x.2023.01.008

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Prognostic value of PIV and AAPR in patients with non-small cell lung cancer with brain metastasis

JIN Shuang, LI Kun, CHEN Hongrun, ZHANG Zhongmian   

  1. Department of Oncology, the Second Affiliated Hospital of Zhengzhou University, Zhengzhou 450014, Henan, China
  • Received:2022-10-26 Revised:2022-12-13 Published:2023-02-09

Abstract: OBJECTIVE: To investigate prognostic values of pan-Immune-inflammation index (PIV) and albumin to alkaline phosphatase ratio (AAPR) in non-small cell lung cancers with brain metastasis. METHODS: From the Second Affiliated Hospital of Zhengzhou University,the case data of 102 non-small-cell lung cancer patients with brain metastasis from December 2015 to April 2022 were retrospectively analyzed. The data included patients' basic clinicopathological characteristics,head radiotherapy status,baseline laboratory data,etc. PIV,AAPR,systemic immune inflammatory index (SII),neutrophil/lymphocyte ratio (NLR),derived neutrophil/lymphocyte ratio (dNLR),platelet/lymphocyte ratio (PLR) and lymphocyte/monocyte ratio (LMR) were calculated using the blood routine and liver function test results. The best cut-off values of PIV,AAPR,etc for predicting the prognosis of the cancer cases were calculated using the X-tile software. χ2 test or Fisher--s-exact-test-was used to evaluate correlations between PIV,AAPR and various clinicopathological indicators. Univariate and multivariate Cox proportional hazard regression models were used to analyze possible correlations between these variables and clinical outcomes,and to explore factors affecting the survival of the patients. Survival curves were drawn using the R software. RESULTS: The cutoff values for PIV,AAPR,SII,NLR,dNLR,PLR,and LMR were 221.9,0.6,1 039.4,5.2,4.0,223.7,and 4.5,respectively. The univariate Cox regression model showed that the survival curves of PIV,AAPR,SII,NLR,dNLR,LMR in different levels were statistically significant (P<0.05). The multivariate Cox regression model showed that PIV and AAPR had a certain impact on the prognosis of patients (P<0.05). CONCLUSION: Our results show that high PIV (≥221.9) and low AAPR (<0.6) were related to poor clinical outcomes. Thus,PIV and AAPR can be used as biomarkers to predict prognosis of non-small cell lung cancer patients with brain metastasis.

Key words: non-small cell lung cancer, brain metastasis, pan-immune-inflammation value, albumin, alkaline phosphatase

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