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

To build a predictive scoring model based on simple immune and inflammatory parameters to predict postoperative survival in patients with breast cancer. We used a brand-new immuno-inflammatory index-pan-immune-inflammation value (PIV)-to retrospectively evaluate the relationship between PIV and over...

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Published inFrontiers in oncology Vol. 12; p. 830138
Main Authors Lin, Fei, Zhang, Li-Ping, Xie, Shuang-Yan, Huang, Han-Ying, Chen, Xiao-Yu, Jiang, Tong-Chao, Guo, Ling, Lin, Huan-Xin
Format Journal Article
LanguageEnglish
Published Switzerland Frontiers Media S.A 13.04.2022
Subjects
breast cancer
index
nomogram
Oncology
PIV
prognosis
breast cancer
index
nomogram
PIV
prognosis
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Summary:To build a predictive scoring model based on simple immune and inflammatory parameters to predict postoperative survival in patients with breast cancer. 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. A total of 1,312 patients were included for analysis. PIV was calculated as follows: neutrophil count (10 /L) × platelet count (10 /L) × monocyte count (10 /L)/lymphocyte count (10 /L). According to the best cutoff 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; 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. 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.
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Reviewed by: Wei-Xiang Qi, Shanghai Jiao Tong University, China; Ming Ye, Shanghai JiaoTong University, China; Kazim Senol, Uludağ University, Turkey
This article was submitted to Breast Cancer, a section of the journal Frontiers in Oncology
Edited by: Jia-Yi Chen, Shanghai Jiao Tong University, China
These authors have contributed equally to this work and share first authorship
These authors have contributed equally to this work and share last authorship
ISSN:2234-943X
2234-943X
DOI:10.3389/fonc.2022.830138