Pretreatment Pan-Immune-Inflammation Value Efficiently Predicts Survival Outcomes in Glioblastoma Multiforme Patients Receiving Radiotherapy and Temozolomide

Objectives. The purpose of this study was to determine the predictive significance of pretreatment pan-immune-inflammation value (PIV) in patients with newly diagnosed glioblastoma multiforme (GBM) who received postsurgical radiation (RT) and concurrent plus adjuvant temozolomide (TMZ). Methods. The...

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Main Authors: Erkan Topkan, Ahmet Kucuk, Ugur Selek
Format: Article
Language:English
Published: Wiley 2022-01-01
Series:Journal of Immunology Research
Online Access:http://dx.doi.org/10.1155/2022/1346094
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author Erkan Topkan
Ahmet Kucuk
Ugur Selek
author_facet Erkan Topkan
Ahmet Kucuk
Ugur Selek
author_sort Erkan Topkan
collection DOAJ
description Objectives. The purpose of this study was to determine the predictive significance of pretreatment pan-immune-inflammation value (PIV) in patients with newly diagnosed glioblastoma multiforme (GBM) who received postsurgical radiation (RT) and concurrent plus adjuvant temozolomide (TMZ). Methods. The outcomes of 204 newly diagnosed GBM patients were analyzed retrospectively. Each eligible patient’s PIV was calculated using the findings of peripheral blood platelet (P), monocyte (M), neutrophil (N), and lymphocyte (L) counts obtained on the first day of therapy: PIV=P×M×N÷L. We used receiver operating characteristic (ROC) curve analysis to discover the ideal cutoff values for PIV concerning progression-free (PFS) and overall survival (OS) outcomes. The primary and secondary end-points were the OS and PFS divergences across the PIV groups. Results. In ROC curve analysis, the optimal PIV cutoff was 385, which substantially interacted with PFS and OS results and categorized patients into low PIV (L-PIV; N=75) and high PIV (H-PIV; N=129) groups. Comparative survival analyses showed that the patients in the H-PIV group had significantly shorter median PFS (6.0 vs. 16.6 months; P<0.001) and OS (11.1 vs. 22.9 months; P<0.001) durations than those in the L-PIV group. The results of multivariate Cox regression analysis indicated an independent and significant connection between an H-PIV measure and shorter PFS and OS outcomes. Conclusions. The novel PIV was able to independently stratify newly diagnosed GBM patients into two groups with fundamentally different PFS and OS outcomes following RT and concurrent plus adjuvant TMZ.
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spelling doaj-art-96d2ae6a45e74a93af42eabee0b2b69d2025-02-03T01:00:44ZengWileyJournal of Immunology Research2314-71562022-01-01202210.1155/2022/1346094Pretreatment Pan-Immune-Inflammation Value Efficiently Predicts Survival Outcomes in Glioblastoma Multiforme Patients Receiving Radiotherapy and TemozolomideErkan Topkan0Ahmet Kucuk1Ugur Selek2Department of Radiation OncologyClinic of Radiation OncologyDepartment of Radiation OncologyObjectives. The purpose of this study was to determine the predictive significance of pretreatment pan-immune-inflammation value (PIV) in patients with newly diagnosed glioblastoma multiforme (GBM) who received postsurgical radiation (RT) and concurrent plus adjuvant temozolomide (TMZ). Methods. The outcomes of 204 newly diagnosed GBM patients were analyzed retrospectively. Each eligible patient’s PIV was calculated using the findings of peripheral blood platelet (P), monocyte (M), neutrophil (N), and lymphocyte (L) counts obtained on the first day of therapy: PIV=P×M×N÷L. We used receiver operating characteristic (ROC) curve analysis to discover the ideal cutoff values for PIV concerning progression-free (PFS) and overall survival (OS) outcomes. The primary and secondary end-points were the OS and PFS divergences across the PIV groups. Results. In ROC curve analysis, the optimal PIV cutoff was 385, which substantially interacted with PFS and OS results and categorized patients into low PIV (L-PIV; N=75) and high PIV (H-PIV; N=129) groups. Comparative survival analyses showed that the patients in the H-PIV group had significantly shorter median PFS (6.0 vs. 16.6 months; P<0.001) and OS (11.1 vs. 22.9 months; P<0.001) durations than those in the L-PIV group. The results of multivariate Cox regression analysis indicated an independent and significant connection between an H-PIV measure and shorter PFS and OS outcomes. Conclusions. The novel PIV was able to independently stratify newly diagnosed GBM patients into two groups with fundamentally different PFS and OS outcomes following RT and concurrent plus adjuvant TMZ.http://dx.doi.org/10.1155/2022/1346094
spellingShingle Erkan Topkan
Ahmet Kucuk
Ugur Selek
Pretreatment Pan-Immune-Inflammation Value Efficiently Predicts Survival Outcomes in Glioblastoma Multiforme Patients Receiving Radiotherapy and Temozolomide
Journal of Immunology Research
title Pretreatment Pan-Immune-Inflammation Value Efficiently Predicts Survival Outcomes in Glioblastoma Multiforme Patients Receiving Radiotherapy and Temozolomide
title_full Pretreatment Pan-Immune-Inflammation Value Efficiently Predicts Survival Outcomes in Glioblastoma Multiforme Patients Receiving Radiotherapy and Temozolomide
title_fullStr Pretreatment Pan-Immune-Inflammation Value Efficiently Predicts Survival Outcomes in Glioblastoma Multiforme Patients Receiving Radiotherapy and Temozolomide
title_full_unstemmed Pretreatment Pan-Immune-Inflammation Value Efficiently Predicts Survival Outcomes in Glioblastoma Multiforme Patients Receiving Radiotherapy and Temozolomide
title_short Pretreatment Pan-Immune-Inflammation Value Efficiently Predicts Survival Outcomes in Glioblastoma Multiforme Patients Receiving Radiotherapy and Temozolomide
title_sort pretreatment pan immune inflammation value efficiently predicts survival outcomes in glioblastoma multiforme patients receiving radiotherapy and temozolomide
url http://dx.doi.org/10.1155/2022/1346094
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AT ugurselek pretreatmentpanimmuneinflammationvalueefficientlypredictssurvivaloutcomesinglioblastomamultiformepatientsreceivingradiotherapyandtemozolomide