Abstract 479P
Background
Recently, a novel comprehensive marker that represents the pan-immune-inflammation value (PIV) has been proposed as a more reliable predictor of clinical outcomes. We aimed to investigate the prognostic significance of PIV and PILE score (a score based on PIV, lactate dehydrogenase (LDH), and Eastern Cooperative Oncology Group Performance Status (ECOG PS)), in patients with PCNSL.
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 calculated with the sum of individual values (for PIV < median = 0, ≥ median = 1; for LDH ≤ upper limit of normal (ULN) = 0, > ULN = 1; for ECOG PS < 2 = 0, ≥ 2 = 1). The Kaplan–Meier method and Cox hazards regression models were used for survival analyses. The relationship between PIV, PILE, and therapeutic response was examined.
Results
Pretreatment high PIV was confirmed to be an independent significant factor for 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. Baseline PIV was also associated with worse progression-free survival (PFS). Regarding OS, PIV showed a better predictive performance than other widely used systemic inflammation parameters. Significantly shorter OS and PFS were observed in the high PILE group (median OS: 25.60, 95% CI 15.60-NR vs. NR months, 95% CI 26.10-NR, p = 0.008; median PFS: 26.13, 95% CI 23.30-NR vs. 7.13 months, 95% CI 4.87-NR, p < 0.001). High PILE was associated with primary resistance to therapy (high PILE group: 21/42 patients, 50.00%; low PILE group: 5/45 patients, 11.11%; p < 0.001). A significantly lower response rate to initial treatment was found in patients in the high PILE group (23/42, 54.76%) as compared to patients in the low PILE group (7/45, 15.56%; p < 0.001). PILE was independently associated with therapeutic response to initial treatment (OR 0.17, 95% CI 0.05–0.46; p < 0.001).
Conclusions
High PIV and high 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 treatment response in PCNSL.
Clinical trial identification
Editorial acknowledgement
Legal entity responsible for the study
The authors.
Funding
Has not received any funding.
Disclosure
All authors have declared no conflicts of interest.
Resources from the same session
469P - Detection of circulating tumor DNA (ctDNA) in cerebrospinal fluid (CSF) in patients with glioblastoma treated in phase I clinical trial
Presenter: Marie Porte
Session: Poster session 16
470P - Mitochondrial ribosomal proteins (MRPs) in glioblastoma multiforme: Omics approach
Presenter: Jehad Yasin
Session: Poster session 16
471P - PTEN alteration as a predictor of second-line efficacy in patients with recurrent IDHwt-glioblastoma
Presenter: Eugenia Cella
Session: Poster session 16
472P - Comprehensive quinomics assessment of BPM31510IV treatment in advanced glioblastoma multiforme patients
Presenter: Seema Nagpal
Session: Poster session 16
473P - A novel machine learning (ML) model integrating clinical and molecular data to predict response to second-line treatment in recurrent IDHwt-glioblastoma (rGBM)
Presenter: Maurizio Polano
Session: Poster session 16
474P - Potassium inward rectifier channel subfamily J member 11 mRNA expression in glioma and its significance in predicting prognosis and chemotherapy sensitivity
Presenter: kaijia zhou
Session: Poster session 16
Resources:
Abstract
475P - Optimising genomic testing for patients with central nervous system (CNS) tumours using oxford nanopore technology
Presenter: Alona Sosinsky
Session: Poster session 16
476P - The role of androgen receptor expression and epigenetic regulation in adult-type diffuse gliomas
Presenter: VINCENZO DI NUNNO
Session: Poster session 16
477P - ENHO's protective role in lower grade glioma
Presenter: Osama Younis
Session: Poster session 16