Biomarkers of Systemic Inflammation in Patients with Glioblastoma: An Analysis of Correlation with Tumour-Related Factors and Survival

Madhugiri, Venkatesh S; Subeikshanan, Venkatesan; Dutt, Akshat; Moiyadi, Aliasgar; Epari, Sridhar; Shetty, Prakash; Gupta, Tejpal; Jalali, Rakesh; Dutt, Anil Kumar

doi:10.4103/0028-3886.323885

Cited by 7 publications

(10 citation statements)

References 28 publications

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“…The sample sizes ranged from 22 to 592, and the median value was 193. Thirteen studies were performed in China [ 21 – 25 , 27 , 29 – 33 , 35 , 36 ], and one each in Australia [ 26 ], India [ 28 ], and Bulgaria [ 34 ]. Ten studies recruited patients with glioma [ 23 – 27 , 29 – 32 , 35 ], and six studies enrolled patients with GBM [ 21 , 22 , 28 , 33 , 34 , 36 ].…”

Section: Resultsmentioning

confidence: 99%

“…Thirteen studies were performed in China [ 21 – 25 , 27 , 29 – 33 , 35 , 36 ], and one each in Australia [ 26 ], India [ 28 ], and Bulgaria [ 34 ]. Ten studies recruited patients with glioma [ 23 – 27 , 29 – 32 , 35 ], and six studies enrolled patients with GBM [ 21 , 22 , 28 , 33 , 34 , 36 ]. The cutoff values of LMR ranged from 1.87 to 5, with a median value of 3.7.…”

Section: Resultsmentioning

confidence: 99%

“…The cutoff values of LMR ranged from 1.87 to 5, with a median value of 3.7. Twelve studies used the receiver operating characteristic (ROC) curve to determine the cutoff value [ 23 , 24 , 26 , 27 , 29 – 36 ], and four studies adopted X-tile software [ 21 , 22 , 25 , 28 ]. Fifteen studies included reporting on the prognostic role of LMR for OS [ 21 – 27 , 29 – 36 ], and three studies presented the association between LMR and PFS [ 28 , 29 , 33 ].…”

Section: Resultsmentioning

confidence: 99%

“…Twelve studies used the receiver operating characteristic (ROC) curve to determine the cutoff value [ 23 , 24 , 26 , 27 , 29 – 36 ], and four studies adopted X-tile software [ 21 , 22 , 25 , 28 ]. Fifteen studies included reporting on the prognostic role of LMR for OS [ 21 – 27 , 29 – 36 ], and three studies presented the association between LMR and PFS [ 28 , 29 , 33 ]. Fourteen studies derived HRs and 95% CIs by using univariate analysis [ 21 , 22 , 24 – 34 , 36 ], and two studies applied multivariate analysis [ 23 , 35 ].…”

Section: Resultsmentioning

confidence: 99%

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Prognostic value of pretreatment lymphocyte-to-monocyte ratio in patients with glioma: a meta-analysis

Wang,

Xu,

Zhang

2023

BMC Med

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Background Many studies have explored the prognostic role of the lymphocyte-to-monocyte ratio (LMR) in patients with glioma, but the results have been inconsistent. We therefore conducted the current meta-analysis to identify the accurate prognostic effect of LMR in glioma. Methods The electronic databases of PubMed, Web of Science, Embase, and Cochrane Library were thoroughly searched from inception to July 25, 2023. The pooled hazard ratios (HRs) and 95% confidence intervals (CIs) were calculated to estimate the prognostic role of LMR for glioma. Results A total of 16 studies comprising 3,407 patients were included in this meta-analysis. A low LMR was significantly associated with worse overall survival (OS) (HR = 1.35, 95% CI = 1.13–1.61, p = 0.001) in glioma. However, there was no significant correlation between LMR and progression-free survival (PFS) (HR = 1.20, 95% CI = 0.75–1.91, p = 0.442) in glioma patients. Subgroup analysis indicated that a low LMR was significantly associated with inferior OS and PFS in glioma when using a cutoff value of ≤ 3.7 or when patients received mixed treatment. Conclusions This meta-analysis demonstrated that a low LMR was significantly associated with poor OS in glioma. There was no significant correlation between LMR and PFS in glioma patients. The LMR could be a promising and cost-effective prognostic biomarker in patients with glioma in clinical practice.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

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Prognostic value of pretreatment lymphocyte-to-monocyte ratio in patients with glioma: a meta-analysis

Wang,

Xu,

Zhang

2023

BMC Med

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“…Additionally, similar to our multivariate results, Chaichana et al argued that age, a component of the RTOG RPA classification, was not a valid predictor of outcomes [ 30 ]. As a different approach, limited research has shown that blood-borne platelets, monocytes, neutrophils, and lymphocytes, which are ubiquitous in the highly inflamed GBM microenvironment, have high prognostic usefulness either alone or in distinct unique blends [ 31 ]. Constructing sound grounds for our current research, despite the facts conclusively confirming its prognostic competence in various extracranial malignancies [ 19 – 28 ], the unique PIV has never been examined for its prognostic potential in GBM patients.…”

Section: Discussionmentioning

confidence: 99%

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

Topkan

Küçük

Selek

2022

Journal of Immunology Research

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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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An Analysis of Eosinophil- and Basophil-Based Indices in Patients with Glioblastoma and their Correlation with Survival

Madhugiri

Subeikshanan²,

Dutt³

et al. 2023

World Neurosurgery

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Biomarkers of Systemic Inflammation in Patients with Glioblastoma: An Analysis of Correlation with Tumour-Related Factors and Survival

Cited by 7 publications

References 28 publications

Prognostic value of pretreatment lymphocyte-to-monocyte ratio in patients with glioma: a meta-analysis

Prognostic value of pretreatment lymphocyte-to-monocyte ratio in patients with glioma: a meta-analysis

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

An Analysis of Eosinophil- and Basophil-Based Indices in Patients with Glioblastoma and their Correlation with Survival

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