Javascript must be enabled to continue!
The prognostic value of inflammation markers in postoperative gliomas with or without adjuvant treatments
View through CrossRef
Abstract
Recent studies have shown that some inflammatory markers are associated with the prognosis of solid tumors. This study aims to evaluate the prognosis of glioma patients with or without adjuvant treatment using the systemic immune-inflammation index (SII), neutrophil-to-lymphocyte ratio (NLR), and platelet-lymphocyte ratio (PLR).
All patients who were diagnosed with gliomas at the first and second affiliated hospital of Guangxi Medical University between 2011 and 2020 were included in this study. The optimal cutoff value of SII, NLR, and PLR was determined by X-tile software program. We stratified patients into several groups and evaluated the progression-free survival (PFS) and overall survival (OS) of SII, NLR, and PLR during the period of pre-surgical, con-chemoradiotherapy, and post-treatments. Multivariate Cox regression analyses were performed to detect the relationships between OS, PFS, and prognostic variables.
A total of 67 gliomas patients were enrolled in the study. The cutoff values of SII, NLR, and PLR were 781.5 × 109/L, 2.9 × 109/L, and 123.2 × 109/L, respectively. Patients who are pre-SII < 781.5 × 109/L had better PFS (P = .027), but no difference in OS. In addition, patients who had low pre-NLR (<2.9 × 109/L) meant better OS and PFS. PLR after adjuvant treatments (post-PLR) was significantly higher than pre-PLR (P = .035). Multivariate analyses revealed that pre-SII, pre-NLR were independent prognostic factors for OS (pre-SII: HR 1.002, 95% CI: 1.000–1.005, P = .030 and pre-PLR: HR 0.983, 95% CI: 0.973–0.994, P = .001), while pre-PLR was an independent factor for PFS (HR 0.989, 95% CI: 0.979–1.000, P = .041).
High pre-SII or high pre-NLR could be prognostic markers to identify glioma patients who had a poor prognosis.
Ovid Technologies (Wolters Kluwer Health)
Title: The prognostic value of inflammation markers in postoperative gliomas with or without adjuvant treatments
Description:
Abstract
Recent studies have shown that some inflammatory markers are associated with the prognosis of solid tumors.
This study aims to evaluate the prognosis of glioma patients with or without adjuvant treatment using the systemic immune-inflammation index (SII), neutrophil-to-lymphocyte ratio (NLR), and platelet-lymphocyte ratio (PLR).
All patients who were diagnosed with gliomas at the first and second affiliated hospital of Guangxi Medical University between 2011 and 2020 were included in this study.
The optimal cutoff value of SII, NLR, and PLR was determined by X-tile software program.
We stratified patients into several groups and evaluated the progression-free survival (PFS) and overall survival (OS) of SII, NLR, and PLR during the period of pre-surgical, con-chemoradiotherapy, and post-treatments.
Multivariate Cox regression analyses were performed to detect the relationships between OS, PFS, and prognostic variables.
A total of 67 gliomas patients were enrolled in the study.
The cutoff values of SII, NLR, and PLR were 781.
5 × 109/L, 2.
9 × 109/L, and 123.
2 × 109/L, respectively.
Patients who are pre-SII < 781.
5 × 109/L had better PFS (P = .
027), but no difference in OS.
In addition, patients who had low pre-NLR (<2.
9 × 109/L) meant better OS and PFS.
PLR after adjuvant treatments (post-PLR) was significantly higher than pre-PLR (P = .
035).
Multivariate analyses revealed that pre-SII, pre-NLR were independent prognostic factors for OS (pre-SII: HR 1.
002, 95% CI: 1.
000–1.
005, P = .
030 and pre-PLR: HR 0.
983, 95% CI: 0.
973–0.
994, P = .
001), while pre-PLR was an independent factor for PFS (HR 0.
989, 95% CI: 0.
979–1.
000, P = .
041).
High pre-SII or high pre-NLR could be prognostic markers to identify glioma patients who had a poor prognosis.
Related Results
Use of Receiver Operating Characteristic (ROC) Analysis To Determine the Most Optimal Prognostic Threshold for Adjuvant! in Lymph Node Negative Breast Cancer Patients < 55 Years.
Use of Receiver Operating Characteristic (ROC) Analysis To Determine the Most Optimal Prognostic Threshold for Adjuvant! in Lymph Node Negative Breast Cancer Patients < 55 Years.
Abstract
Background: Adjuvant!1 is a web based tool to predict the 10-year relapse free survival (RFS), breast cancer specific survival (BCSS) and overall survival (...
68Ga-PSMA-11 PET/CT Imaging in Brain Gliomas and Its Correlation With Clinicopathological Prognostic Parameters
68Ga-PSMA-11 PET/CT Imaging in Brain Gliomas and Its Correlation With Clinicopathological Prognostic Parameters
Background
Gliomas are the most common primary central nervous system tumors, of which the malignant gliomas account for 60%–75%. The primary and secondary brain malign...
Decreased Expression of PACSIN1 in Brain Glioma Samples Predicts Poor Prognosis
Decreased Expression of PACSIN1 in Brain Glioma Samples Predicts Poor Prognosis
Gliomas are the most severe brain tumours with a poor prognosis. Although surgery, postoperative radiotherapy and chemotherapy can improve the survival rate of glioma patients, the...
Current therapeutic strategies for erectile function recovery after radical prostatectomy – literature review and meta-analysis
Current therapeutic strategies for erectile function recovery after radical prostatectomy – literature review and meta-analysis
Radical prostatectomy is the most commonly performed treatment option for localised prostate cancer. In the last decades the surgical technique has been improved and modified in or...
Eficacia, seguridad y eficiencia de la radioterapia corporal estereotáctica aplicada con marcadores de referencia en oncología
Eficacia, seguridad y eficiencia de la radioterapia corporal estereotáctica aplicada con marcadores de referencia en oncología
Introduction
Stereotactic body radiotherapy (SBRT) is a technology that involves delivering high doses of radiation, in few sessios and with high precision, to a specific tumor loc...
High EZH2 Protein Expression Is a Poor Prognostic Predictor in IDH1 R132H-Negative Gliomas
High EZH2 Protein Expression Is a Poor Prognostic Predictor in IDH1 R132H-Negative Gliomas
Accumulating data indicates that enhancer of zeste homology 2 (EZH2) and isocitrate dehydrogenase 1 (IDH1) are implicated in promoting tumourigenesis in a myriad of malignancies in...
Abstract 1345: Mutant IDH1 and tissue factor in gliomas
Abstract 1345: Mutant IDH1 and tissue factor in gliomas
Abstract
Background: IDH1 mutations (IDH1mut) occur in 20-30% of gliomas, induce DNA hypermethylation, and are associated with a better prognosis than IDH1 wild-type...
BIOM-17. DIFFERENCES IN THE IMMUNE MICROENVIRONMENT OF GLIOMAS HARBORING IDH2 VERSUS IDH1 MUTATIONS
BIOM-17. DIFFERENCES IN THE IMMUNE MICROENVIRONMENT OF GLIOMAS HARBORING IDH2 VERSUS IDH1 MUTATIONS
Abstract
INTRODUCTION
IDH mutations are a defining feature of lower-grade glioma and secondary glioblastoma. Approximately 95% o...

