ArticleJournal of inflammation research2024
The Baseline Pan-Immune‑Inflammation Value (PIV) and PILE in Predicting Clinical Outcomes and Therapeutic Response for Primary Central Nervous System Lymphoma.
Article in Journal of inflammation research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Pan-immune-inflammation value as a prognostic and predictive biomarker in metastatic non-small cell lung cancer treated with nivolumab: A real-world study.Oncology letters · 2026Article
- Design, preclinical evaluation, and multicenter phase 1 clinical study of HZ-A-018 for relapsed or refractory central nervous system lymphoma.Acta pharmaceutica Sinica. B · 2026Article
- Unraveling the immune microenvironment in primary CNS lymphoma.Biomarker research · 2026Review
- The mediating effect of immune-inflammatory indices in shift work and hypertension: a cohort study in China.Scandinavian journal of work, environment & health · 2026Article
- Cystatin C regulates cell division in primary central nervous system lymphoma.Scientific reports · 2026Article
- Pan-immune-inflammation value is a novel prognostic biomarker in pT2-4 gastric cancer.Frontiers in medicine · 2026Article
- The prognostic importance of the pan-immune-inflammation value (PIV) in lung cancer: a systematic review and meta-analysis.Translational lung cancer research · 2025Article
- The role of pan-immune-inflammation index in the prognosis of Chinese cases with triple-negative breast cancer following surgical resection.Frontiers in surgery · 2025Article
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9 authors.
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Abstract
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.
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