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The Baseline Pan-Immune­Inflammation Value (PIV) and PILE in Predicting Clinical Outcomes and Therapeutic Response for Primary Central Nervous System Lymphoma.
Duan, Ling; Guo, Wenhui; Yin, Shuo; Yang, Shoubo; Liu, Jie; Duan, Yunyun; Dong, Gehong; Li, Wenbin; Chen, Feng.
Afiliação
  • Duan L; Department of Neuro-Oncology, Cancer Center, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, People's Republic of China.
  • Guo W; Department of Neuro-Oncology, Cancer Center, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, People's Republic of China.
  • Yin S; Department of Neuro-Oncology, Cancer Center, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, People's Republic of China.
  • Yang S; Department of Neuro-Oncology, Cancer Center, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, People's Republic of China.
  • Liu J; Department of Clinical Diagnosis, Laboratory of Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, People's Republic of China.
  • Duan Y; Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, People's Republic of China.
  • Dong G; Department of Pathology, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, People's Republic of China.
  • Li W; Department of Neuro-Oncology, Cancer Center, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, People's Republic of China.
  • Chen F; Department of Neuro-Oncology, Cancer Center, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, People's Republic of China.
J Inflamm Res ; 17: 5347-5363, 2024.
Article em En | MEDLINE | ID: mdl-39161678
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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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: J Inflamm Res Ano de publicação: 2024 Tipo de documento: Article País de publicação: Nova Zelândia

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: J Inflamm Res Ano de publicação: 2024 Tipo de documento: Article País de publicação: Nova Zelândia