AUTHOR=Lin Fei , Zhang Li-Ping , Xie Shuang-Yan , Huang Han-Ying , Chen Xiao-Yu , Jiang Tong-Chao , Guo Ling , Lin Huan-Xin 

TITLE=Pan-Immune-Inflammation Value: A New Prognostic Index in Operative Breast Cancer

JOURNAL=Frontiers in Oncology

VOLUME=Volume 12 - 2022

YEAR=2022

URL=https://www.frontiersin.org/journals/oncology/articles/10.3389/fonc.2022.830138

DOI=10.3389/fonc.2022.830138

ISSN=2234-943X

ABSTRACT=Abstract
Purpose: To build a predictive scoring-model based on simple immune and inflammatory parameters to predict postoperative survival in patients with breast cancer.
Patients and Methods: We used a brand-new immuno-inflammatory index—pan-immune-inflammation value (PIV)—to retrospectively evaluate the relationship between PIV and overall survival (OS), and based on the results of Cox regression analysis, we established a simple scoring prediction model based on several independent prognostic parameters. The predictive accuracy of the model was evaluated and independently validated. 
Results: A total of 1,312 patients were included for analysis. PIV was calculated as follows: neutrophil count (109/L) × platelet count (109/L) × monocyte count (109/L) / lymphocyte count (109/L). According to the best cut-off value of PIV, we divided the patients into two different subgroups: high-PIV (PIV>310.2) and low-PIV (PIV≤310.2) associated with significantly different survival outcomes (3-year OS: 80.26% vs 86.29%, respectively, and 5-year OS: 62.5% vs 71.55%, respectively). Six independent prognostic factors were identified and used to build the scoring system, which performed well with a concordance index (C-index) of 0.759 (95% CI: 0.715–0.802); the calibration plot showed good calibration.
Conclusions: We have established and verified a simple scoring system for predicting prognosis, which can predict the survival of patients with operable breast cancer. This system can help clinicians implement targeted and individualized treatment strategies.