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

Madhugiri, Venkatesh S; Subeikshanan, Venkatesan; Dutt, Akshat; Moiyadi, Aliasgar; Shetty, Prakash; Gupta, Tejpal; Epari, Sridhar; Jalali, Rakesh; Sasidharan, Gopalakrishnan M; Kumar, V.R. Roopesh; Ganesh, C. V. Shankar; Ramesh, Andi Sadayandi; Prabhu, A Sathia; Dutt, Anil Kumar

doi:10.1016/j.wneu.2022.11.008

Cited by 5 publications

(6 citation statements)

References 21 publications

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“…Huang et al [ 4 ] proved lower absolute eosinophil count and ELR in higher-grade gliomas, GBM included. Madhugiri et al [ 25 ] also concluded that the absolute eosinophil number is greater in GBM patients with better prognosis. Surprisingly, in our GBM cohort, patients with better survival tended to have lower ELR before any treatment was administered, but these results were not statistically proven.…”

Section: Discussionmentioning

confidence: 99%

Preoperative Immune-Inflammatory Status of the Patients With Newly-Diagnosed Glioblastoma – Could It Genuinely Predict Their Survival?

Serban,

Tamas,

Tamas

et al. 2023

Cureus

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Background: Glioblastoma multiforme (GBM) is the most aggressive brain tumor affecting adult patients, with an extremely reduced overall survival despite rapid diagnosis and treatment. Therefore, it is crucial to establish accurate and affordable markers that allow an individualized approach to GBM patients. Serum biomarkers could be the most accessible, as complete blood counts should be performed on all GBM patients before undergoing any surgical and/or pharmacological treatment. However, their prognostic role is still unclear. Our study aims to assess the influence of various hematological markers of inflammation in predicting the outcome of GBM patients. Material and methods: We retrospectively analyzed all adult patients diagnosed with primary glioblastoma in the Neurosurgery Department of the Emergency Clinical County Hospital of Târgu Mureș, Romania, from January 2017 until December 2019. We aimed to discover whether the immune/inflammatory status of the patients before receiving any kind of pharmacological or surgical treatment influenced their overall survival. Results: Our study showed that pre-therapeutic elevated white blood count could predict reduced overall survival in not otherwise specified subtype (NOS) of GBMs (HR 0.4153, 95% CI 0.1825-0.9449, p 0.0362). Furthermore, patients with increased systemic immune response index (SIRI) had much larger tumors at the time of diagnosis (p 0.0359). In wild type, isocitrate dehydrogenase subpopulation (IDHwt), the higher values of neutrophil-to-lymphocyte ratio (NLR, p 0.0412), platelet-to-lymphocyte ratio (PLR, p 0.0376) and monocyte-to-lymphocyte ratio (MLR, p 0.0412) were related to more advanced age at the moment of diagnosis. Moreover, our results revealed a weakly positive association between tumor size and NLR values in the NOS group (Spearman r 0.3212, p 0.0493). Conclusions: Our study does not provide enough evidence for the immune/inflammatory status of GBM patients to be used as an efficient prognostic marker to guide the therapeutic approach.

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Section: Discussionmentioning

confidence: 99%

Preoperative Immune-Inflammatory Status of the Patients With Newly-Diagnosed Glioblastoma – Could It Genuinely Predict Their Survival?

Serban,

Tamas,

Tamas

et al. 2023

Cureus

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“…169 Observations for basophils are inconsistent and limited to a few studies. 164,170 MC activation was positively linked to OS, 166 including prognostic MC-related genes in predicting survival. 171 However, increased infiltrating MCs are detectable in GBM compared to LGG.…”

Section: Studies Of Allergy and Glioma Prognosismentioning

confidence: 93%

“…Accordingly, lower AEC correlated with shorter OS 168 and AEC falls rapidly as glioma grade increases 169 . Observations for basophils are inconsistent and limited to a few studies 164,170 . MC activation was positively linked to OS, 166 including prognostic MC‐related genes in predicting survival 171 .…”

Section: Epidemiological Clinical and Pre‐clinical Studies Of Allergy...mentioning

confidence: 98%

“…AEC also appears to hold roles in predicting prognosis. Eosinophil‐based indices in glioblastoma were altered compared to controls and AEC were higher in groups with more favourable prognosis, 164 although a separate study found prognostic value of AEC only in low‐grade glioma (LGG) 165 . Eosinophil activation has been positively linked to improved overall survival (OS) 166 ; and increased AEC predicted shorter treatment duration with anti‐VEGF antibody and more favourable progression‐free survival 167 .…”

Section: Epidemiological Clinical and Pre‐clinical Studies Of Allergy...mentioning

confidence: 99%

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AllergoOncology: Biomarkers and refined classification for research in the allergy and glioma nexus—A joint EAACI‐EANO position paper

Turner,

Radzikowska,

Ferastraoaru

et al. 2024

Allergy

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Epidemiological studies have explored the relationship between allergic diseases and cancer risk or prognosis in AllergoOncology. Some studies suggest an inverse association, but uncertainties remain, including in IgE‐mediated diseases and glioma. Allergic disease stems from a Th2‐biased immune response to allergens in predisposed atopic individuals. Allergic disorders vary in phenotype, genotype and endotype, affecting their pathophysiology. Beyond clinical manifestation and commonly used clinical markers, there is ongoing research to identify novel biomarkers for allergy diagnosis, monitoring, severity assessment and treatment. Gliomas, the most common and diverse brain tumours, have in parallel undergone changes in classification over time, with specific molecular biomarkers defining glioma subtypes. Gliomas exhibit a complex tumour‐immune interphase and distinct immune microenvironment features. Immunotherapy and targeted therapy hold promise for primary brain tumour treatment, but require more specific and effective approaches. Animal studies indicate allergic airway inflammation may delay glioma progression. This collaborative European Academy of Allergy and Clinical Immunology (EAACI) and European Association of Neuro‐Oncology (EANO) Position Paper summarizes recent advances and emerging biomarkers for refined allergy and adult‐type diffuse glioma classification to inform future epidemiological and clinical studies. Future research is needed to enhance our understanding of immune–glioma interactions to ultimately improve patient prognosis and survival.

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“…The clinical information included gender, age, Karnofsky performance status (KPS), and laboratory testing results for lymphocyte, monocyte, eosinophil counts, and serum creatinine. The clinical variables such as serum creatinine and eosinophils were included in the analysis of this cohort because prior studies have indicated the relevance of these variables for survival and prognosis in patients with GBM ( 23 , 24 ). We have previously published a study on the same cohort focusing on MRI imaging findings of IEE and GBM ( 25 ).…”

Section: Methodsmentioning

confidence: 99%

Nomogram incorporating preoperative MRI-VASARI features for differentiating intracranial extraventricular ependymoma from glioblastoma

Yao,

Fu,

Zhou

et al. 2024

Quant Imaging Med Surg

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Background Intracranial extraventricular ependymoma (IEE) and glioblastoma (GBM) may have similar imaging findings but different prognosis. This study aimed to develop and validate a nomogram based on magnetic resonance imaging (MRI) Visually AcceSAble Rembrandt Images (VASARI) features for preoperatively differentiating IEE from GBM. Methods The clinical data and the MRI-VASARI features of patients with confirmed IEE (n=114) and confirmed GBM (n=258) in a multicenter cohort were retrospectively analyzed. Predictive models for differentiating IEE from GBM were built using a multivariate logistic regression method. A nomogram was generated and the performance of the nomogram was assessed with respect to its calibration, discrimination, and clinical usefulness. Results The predictors identified in this study consisted of six VASARI features and four clinical features. Compared with the individual models, the combined model incorporating clinical and VASARI features had the highest area under the curve (AUC) value [training set: 0.99, 95% confidence interval (CI): 0.98–1.00; validation set: 0.97, 95% CI: 0.94–1.00] in comparison to the clinical model. The nomogram was well calibrated with significant clinical benefit according to the calibration curve and decision curve analyses. Conclusions The nomogram combining clinical and MRI-VASARI characteristics was robust for differentiating IEE from GBM preoperatively and may potentially assist in diagnosis and treatment of brain tumors.

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

Cited by 5 publications

References 21 publications

Preoperative Immune-Inflammatory Status of the Patients With Newly-Diagnosed Glioblastoma – Could It Genuinely Predict Their Survival?

Preoperative Immune-Inflammatory Status of the Patients With Newly-Diagnosed Glioblastoma – Could It Genuinely Predict Their Survival?

AllergoOncology: Biomarkers and refined classification for research in the allergy and glioma nexus—A joint EAACI‐EANO position paper

Nomogram incorporating preoperative MRI-VASARI features for differentiating intracranial extraventricular ependymoma from glioblastoma

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