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基线泛免疫炎症值(PIV)和PILE在预测原发性中枢神经系统淋巴瘤临床结果和治疗反应中的应用

 

Authors Duan L, Guo W, Yin S, Yang S, Liu J, Duan Y, Dong G, Li W , Chen F 

Received 6 May 2024

Accepted for publication 30 July 2024

Published 13 August 2024 Volume 2024:17 Pages 5347—5363

DOI https://doi.org/10.2147/JIR.S468537

Checked for plagiarism Yes

Review by Single anonymous peer review

Peer reviewer comments 2

Editor who approved publication: Dr Tara Strutt

Ling Duan,1 Wenhui Guo,1 Shuo Yin,1 Shoubo Yang,1 Jie Liu,2 Yunyun Duan,3 Gehong Dong,4 Wenbin Li,1 Feng Chen1 

1Department of Neuro-Oncology, Cancer Center, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, People’s Republic of China; 2Department of Clinical Diagnosis, Laboratory of Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, People’s Republic of China; 3Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, People’s Republic of China; 4Department of Pathology, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, People’s Republic of China

Correspondence: Wenbin Li; Feng Chen, Department of Neuro-Oncology, Cancer Center, Beijing Tiantan Hospital, Capital Medical University, No. 119 West Nansihuan Road, Beijing, 100070, People’s Republic of China, Tel +86-10-59975034, Email liwenbin@ccmu.edu.cn; chenfeng406@sina.com

Purpose: To investigate the prognostic significance of pan-immune-inflammation value (PIV) and PILE score (based on PIV, lactate dehydrogenase (LDH), and Eastern Cooperative Oncology Group Performance Status (ECOG PS)) in patients with primary central nervous system lymphoma (PCNSL).
Patients and Methods: A total of 109 patients were enrolled. PIV was calculated as follows: (neutrophil count × platelet count × monocyte count)/lymphocyte count. The PILE score was incorporated based on PIV, LDH levels, and ECOG PS. The Kaplan–Meier curves and Cox hazards regression models were applied for survival analyses. The relationship between PIV, PILE, and therapeutic response was examined.
Results: Baseline high PIV was significantly associated with worse overall survival (OS) in univariate (HR 3.990, 95% CI 1.778– 8.954, p < 0.001) and multivariate (HR 3.047, 95% CI 1.175– 7.897, p = 0.022) analyses. High PIV was also associated with worse progression-free survival (PFS) in univariate (HR 2.121, 95% CI 1.075– 4.186, p = 0.030) but not significant in multivariate analyses. PIV outperformed other systemic inflammation parameters. The patients in the high PILE group (PILE score 2– 3) had worse OS (p = 0.008) and PFS (p < 0.001) compared to the low PILE group (PILE score 0– 1). PILE was independently associated with therapeutic response to initial treatment (OR 0.17, 95% CI 0.05– 0.46; p < 0.001).
Conclusion: High PIV and PILE were correlated with worse clinical outcomes in PCNSL patients, indicating that PIV and PILE might be a powerful predictor of prognosis and a potential predictive indicator for therapeutic response in PCNSL.

Keywords: primary central nervous system lymphoma, pan-immune inflammation value, PILE score, prognosis