Preoperative neutrophil-lymphocyte count ratio helps predict the grade of glial tumor - a pilot study

Perioperative Segmentation of the Posterior Fossa and the Keel of Goodrich in Surgical Outcomes of Chiari Malformations

BACKGROUND

Chiari I malformation (CM-I) is defined as the extension of brain tissue into the spinal cord. This study aimed to refine the methodology for the acquisition of 3-dimensional measurements of the posterior fossa and introduce occipital keel size as a new marker and its impact in patients with CM.

METHODS

In this retrospective study, all patients who underwent Chiari decompression surgery at Montefiore Medical Center from April 2012 to April 2022 were included. Perioperative clinical information was obtained in addition to maximal keel thickness (KT), foramen magnum area, and preoperative and postoperative posterior fossa volumes for each patient and age-matched controls. Volumetric measurements were obtained using artificial intelligence-based semiautomated segmentation.

RESULTS

A total of 107 patients with CM including 37 males, and 70 females were studied with a mean age of 26.56 ± 17.31 compared with 103 controls without CM. The comparison between the CM and the general population groups demonstrated a significantly increased keel size in Chiari patients. Keel size had a significant relationship with dysphagia, paresthesia, and intraoperative blood loss, while posterior volume change had a significant relationship with sex and early symptomatic improvement. The Foramen magnum area was related to tonsillar descent and more prominent in patients with spina bifida.

CONCLUSIONS

The Keel of Goodrich is a new anatomical factor that should be taken into consideration when evaluating preoperative symptoms, and intraoperative complications in patients with CM-I. Volumetric analyses demonstrated that posterior fossa volume change had a significant impact on early symptom improvement in patients with Chiari, as did the choice of operative approach. The routine use of semiautomated segmentation of the posterior fossa may help stratify Chiari patients in the future and should be implemented in routine clinical care.

Systemic and local immunosuppression in glioblastoma and its prognostic significance

The effectiveness of tumor therapy, especially immunotherapy and oncolytic virotherapy, critically depends on the activity of the host immune cells. However, various local and systemic mechanisms of immunosuppression operate in cancer patients. Tumor-associated immunosuppression involves deregulation of many components of immunity, including a decrease in the number of T lymphocytes (lymphopenia), an increase in the levels or ratios of circulating and tumor-infiltrating immunosuppressive subsets [e.g., macrophages, microglia, myeloid-derived suppressor cells (MDSCs), and regulatory T cells (Tregs)], as well as defective functions of subsets of antigen-presenting, helper and effector immune cell due to altered expression of various soluble and membrane proteins (receptors, costimulatory molecules, and cytokines). In this review, we specifically focus on data from patients with glioblastoma/glioma before standard chemoradiotherapy. We discuss glioblastoma-related immunosuppression at baseline and the prognostic significance of different subsets of circulating and tumor-infiltrating immune cells (lymphocytes, CD4+ and CD8+ T cells, Tregs, natural killer (NK) cells, neutrophils, macrophages, MDSCs, and dendritic cells), including neutrophil-to-lymphocyte ratio (NLR), focus on the immune landscape and prognostic significance of isocitrate dehydrogenase (IDH)-mutant gliomas, proneural, classical and mesenchymal molecular subtypes, and highlight the features of immune surveillance in the brain. All attempts to identify a reliable prognostic immune marker in glioblastoma tissue have led to contradictory results, which can be explained, among other things, by the unprecedented level of spatial heterogeneity of the immune infiltrate and the significant phenotypic diversity and (dys)functional states of immune subpopulations. High NLR is one of the most repeatedly confirmed independent prognostic factors for shorter overall survival in patients with glioblastoma and carcinoma, and its combination with other markers of the immune response or systemic inflammation significantly improves the accuracy of prediction; however, more prospective studies are needed to confirm the prognostic/predictive power of NLR. We call for the inclusion of dynamic assessment of NLR and other blood inflammatory markers (e.g., absolute/total lymphocyte count, platelet-to-lymphocyte ratio, lymphocyte-to-monocyte ratio, systemic immune-inflammation index, and systemic immune response index) in all neuro-oncology studies for rigorous evaluation and comparison of their individual and combinatorial prognostic/predictive significance and relative superiority.

Neutrophil/Lymphocyte Ratio and Platelet/Lymphocyte Ratio and Their Relationship with Nutritional Status and Quality of Life of Hospitalized Women with Breast Cancer

Blood cell biomarkers, such as the neutrophil-lymphocyte ratio (NLR) and the platelet-lymphocyte ratio (PLR), have been recently used as prognostic markers in tumors. In this study, we investigated the association between NLR and PLR with sociodemographic, clinical, anthropometric, and quality of life factors of hospitalized women with non-metastatic breast cancer. A cross-sectional observational study was conducted at a reference center for oncological treatment in Southeast Brazil. Female participants aged over 18 years, with a histopathological diagnosis of stage I, II or III breast cancer, in any phase of antineoplastic treatment, were included. Our study revealed a high risk for participants, with high mean values of NLR and PLR, indicating low antitumor activity and worse prognosis. The binary logistic regression model showed that there was a significant association of the NLR marker and marital status (OR = 3.1; 95%CI = 1.06-8.57; p = 0.03) and, in relation to PLR, a trend was shown for a higher chance in women of black ethnicity to have increased PLR compared to white women (OR = 4.13; 95%CI = 0.96-17.70; p = 0.05). However, the inflammatory markers (NLR and PLR) did not show any significant association with nutritional factors. NLR and PLR are inflammatory biomarkers that can be easily obtained and measured in clinical practice.

Bioactive compounds from Actinidia arguta fruit as a new strategy to fight glioblastoma

In recent years, there has been a significant demand for natural products as a mean of disease prevention or as an alternative to conventional medications. The driving force for this change is the growing recognition of the abundant presence of valuable bioactive compounds in natural products. On recent years Actinia arguta fruit, also known as kiwiberry, has attracted a lot of attention from scientific community due to its richness in bioactive compounds, including phenolic compounds, organic acids, vitamins, carotenoids and fiber. These bioactive compounds contribute to the fruit's diverse outstanding biological activities such as antioxidant, anti-inflammatory, neuroprotective, immunomodulatory, and anti-cancer properties. Due to these properties, the fruit may have the potential to be used in the treatment/prevention of various types of cancer, including glioblastoma. Glioblastoma is the most aggressive form of brain cancer, displaying 90 % of recurrence rate within a span of 2 years. Despite the employment of an aggressive approach, the prognosis remains unfavorable, emphasizing the urgent requirement for the development of new effective treatments. The preclinical evidence suggests that kiwiberry has potential impact on glioblastoma by reducing the cancer self-renewal, modulating the signaling pathways involved in the regulation of the cell phenotype and metabolism, and influencing the consolidation of the tumor microenvironment. Even though, challenges such as the imprecise composition and concentration of bioactive compounds, and its low bioavailability after oral administration may be drawbacks to the development of kiwiberry-based treatments, being urgent to ensure the safety and efficacy of kiwiberry for the prevention and treatment of glioblastoma. This review aims to highlight the potential impact of A. arguta bioactive compounds on glioblastoma, providing novel insights into their applicability as complementary or alternative therapies.

Can Neutrophil to Lymphocyte Ratio Predict Early Outcome in Patients with Spinal Cord Injury?

BACKGROUND

Spinal cord injury is a frequent debilitating neurologic condition with increasing prevalence and related morbidity over the last decades. The neutrophil-to-lymphocyte ratio is a promising biomarker for determining different medical conditions' disease course and outcome such as traumatic brain injury (TBI). This study aimed to investigate the predictive value of neutrophil to lymphocyte ratio (NLR) in the outcome of SCI.

METHOD

In a retrospective cross-sectional study from April 2019 to April 2022, all patients 18 to 65 years old, following spinal cord injury who were referred to Imam Khomeini Hospital and met inclusion and exclusion criteria enrolled in the study. A checklist including demographic data, lab, and clinical findings at admission, 24h, 48 h, and discharge were recorded. IBM SPSS Statistics software was used to analyze the data. A P-value of less than 0.05 was considered significant.

RESULTS

Six hundred patients met our inclusion criteria and enrolled in the study. The mean age of the patients was 40.93 ± 12.77, with 75% male and 25% female. There was a significant correlation between the N/L ratio at different time points (p.value=0.001), injury type, and ASIA score at admission and discharge (0.001). Furthermore, the NLR had approached significant value alone to predict outcomes in patients enrolled in the study (0.06).

CONCLUSIONS

A high NLR is unequivocally linked with poor outcomes in patients suffering from acute SCI and should be considered a negative prognostic factor; however, the NLR had approached significant predicting value in patients enrolled in the study.

Immuno markers in newly diagnosed glioblastoma patients underwent Stupp protocol after neurosurgery: a retrospective series

PURPOSE

The aims of our retrospective study investigated the role of immune system in glioblastoma (GBM), which is the most aggressive primary brain tumor in adults characterized by a poor prognosis. The recurrence rate remains high, probably due to "immune-desert" tumor microenvironment (TME) making GBM hidden from the anti-tumoral immune clearance. Considering this, we aimed to create a panel of prognostic markers from blood and tumor tissue correlating with overall survival (OS) and progression-free survival (PFS).

METHODS

Firstly, we analyzed the inflammatory markers NLR and PLR as the ratio of the absolute neutrophil count and absolute platelet count by the absolute lymphocyte count respectively, collected at different time points in the peripheral blood of 95 patients. Furthermore, in 31 patients of the same cohort, we analyzed the formalin-fixed paraffin embedded samples to further compare the impact of circulating and inflammatory markers within the TME.

RESULTS

Patients aged < 60 years and with methylated MGMT showed better OS. While, pre-chemotherapy Systemic Inflammatory Index (SII) < 480 was related to a better OS and PFS, we observed that only CD68+macrophage and CD66b+neutrophils expressed in vascular/perivascular area (V) showed a statistically significant prognostic role in median OS and PFS.

CONCLUSIONS

Thus, we underscored a role of SII as predictive value of response to STUPP protocol. Regarding the TME-related markers, we suggested to take into consideration for future studies with new immunotherapy combinations, each component relating to expression of immune infiltrating subsets.

Prognostic Value of the Platelet-lymphocyte Ratio for Glioblastoma: A Systematic Review

BACKGROUND

Glioblastoma is the most common type of malignant glioma and is 1 of the most frequent primary tumors during adult life. The platelet-lymphocyte ratio (PLR) has been studied as an inflammatory marker associated with the prognosis of glioblastoma in previous studies. Considering the morbidity associated with this condition, it is important that there are other ways of assessing the prognosis that do not require invasive methods. Therefore, we performed this systematic review in order to determine the prognostic value of the PLR.

METHODS

We conducted an English language, literature-based search for papers published from 2012 to 2022, using the PubMed, Cochrane, Biblioteca Virtual em Saúde and Biomed Central Journal. We use the Preferred Reporting Items for Systematic Reviews and Meta-analyses recommendations. Titles and abstracts were evaluated independently by 2 authors, after which articles were selected for final analysis based on application of inclusion criteria (patients diagnosed with glioblastoma; address the use of PLR as a prognostic factor; hazard ratio; adults; clinical trials and observational studies) and exclusion criteria (inclusion of pediatric or animals, case reports, letters, conference abstracts, meta-analysis, and nonclinical studies or did not include hazard ratio) during full text screen. Each included article was then assessed for quality using Newcastle-Ottawa scale and relevant variables were extracted for synthesis.

RESULTS

Of 127 results, 11 articles were included for final analysis. There were 7 studies from China, 1 from Italy, 1 from Portugal, 1 from Turkey, and 1 from India. The years of publications were between 2015 and 2022. All the studies used PLR from the preoperative blood sample. Among the studies that analyzed the relationship between PLR and overall survival, 7 found a predictive relationship, 3 found no association, and 1 found an association between PLR and progression free survival in patients with glioblastoma.

CONCLUSIONS

Studies have shown that PLR can be a useful marker to aid in the prognosis of glioblastoma. Due to the ease of obtaining, rapid analysis and low cost, the PLR can be particularly beneficial in health centers with limited financial resources.

Myeloidcells in the immunosuppressive microenvironment in glioblastoma: The characteristics and therapeutic strategies

Glioblastoma (GBM) is the most common and lethal malignant tumor of the central nervous system in adults. Conventional therapies, including surgery, radiotherapy, and chemotherapy, have limited success in ameliorating patient survival. The immunosuppressive tumor microenvironment, which is infiltrated by a variety of myeloid cells, has been considered a crucial obstacle to current treatment. Recently, immunotherapy, which has achieved great success in hematological malignancies and some solid cancers, has garnered extensive attention for the treatment of GBM. In this review, we will present evidence on the features and functions of different populations of myeloid cells, and on current clinical advances in immunotherapies for glioblastoma.

A Machine Learning-Based Approach to Predict Prognosis and Length of Hospital Stay in Adults and Children With Traumatic Brain Injury: Retrospective Cohort Study

BACKGROUND

The treatment and care of adults and children with traumatic brain injury (TBI) constitute an intractable global health problem. Predicting the prognosis and length of hospital stay of patients with TBI may improve therapeutic effects and significantly reduce societal health care burden. Applying novel machine learning methods to the field of TBI may be valuable for determining the prognosis and cost-effectiveness of clinical treatment.

OBJECTIVE

We aimed to combine multiple machine learning approaches to build hybrid models for predicting the prognosis and length of hospital stay for adults and children with TBI.

METHODS

We collected relevant clinical information from patients treated at the Neurosurgery Center of the Second Affiliated Hospital of Anhui Medical University between May 2017 and May 2022, of which 80% was used for training the model and 20% for testing via screening and data splitting. We trained and tested the machine learning models using 5 cross-validations to avoid overfitting. In the machine learning models, 11 types of independent variables were used as input variables and Glasgow Outcome Scale score, used to evaluate patients' prognosis, and patient length of stay were used as output variables. Once the models were trained, we obtained and compared the errors of each machine learning model from 5 rounds of cross-validation to select the best predictive model. The model was then externally tested using clinical data of patients treated at the First Affiliated Hospital of Anhui Medical University from June 2021 to February 2022.

RESULTS

The final convolutional neural network-support vector machine (CNN-SVM) model predicted Glasgow Outcome Scale score with an accuracy of 93% and 93.69% in the test and external validation sets, respectively, and an area under the curve of 94.68% and 94.32% in the test and external validation sets, respectively. The mean absolute percentage error of the final built convolutional neural network-support vector regression (CNN-SVR) model predicting inpatient time in the test set and external validation set was 10.72% and 10.44%, respectively. The coefficient of determination (R²) was 0.93 and 0.92 in the test set and external validation set, respectively. Compared with back-propagation neural network, CNN, and SVM models built separately, our hybrid model was identified to be optimal and had high confidence.

CONCLUSIONS

This study demonstrates the clinical utility of 2 hybrid models built by combining multiple machine learning approaches to accurately predict the prognosis and length of stay in hospital for adults and children with TBI. Application of these models may reduce the burden on physicians when assessing TBI and assist clinicians in the medical decision-making process.

The role of preoperative inflammatory markers in patients with central nervous system tumors, focus on glioma

BACKGROUND

CNS tumors, particularly gliomas, are associated with a high rate of disability and lethality, and are typically diagnosed with histopathology and immunohistochemistry. Our research aims to develop a minimally invasive method for diagnosing, grading and molecular typing glioma.

METHODS

We collected patients who underwent surgery for glioma, Trigeminal neuralgia/Hemifacial spasm, schwannoma, pituitary adenomas and meningioma at our hospital from June 2019 to June 2021. Preoperative WBCs, neutrophils, lymphocytes, monocytes, platelet counts and albumin levels were collected. Preoperative NLR, dNLR, PLR, LMR and PNI were calculated, and the correlation between them and glioma diagnosis as well as grading was analyzed. We also evaluated the diagnostic significance of NLR, dNLR, PLR, LMR, PNI and their combinations for gliomas, particularly GBM, as well as the diagnostic significance of IDH molecular typing of gliomas.

RESULTS

There were 182 healthy samples and 3101 diseased samples in our study. Compared with other groups, glioma patients had significantly higher preoperative NLR, dNLR and PLR values, but lower LMR and PNI values. Further analysis showed that NLR, dNLR, and PLR were positively correlated with glioma grading, while LMR and PNI were negatively correlated with glioma grading. For the diagnosis of glioma, NLR showed a maximum AUC value of 0.8099 (0.7823-0.8374). For GBM, NLR showed a maximum AUC value of 0.9585 (0.9467-0.9703). In the combination, NLR+dNLR showed the highest AUC value of 0.8070(0.7849-0.8291). NLR showed significant statistical significance in all grades of glioma IDH molecular typing, while PLR did not show statistical significance.

CONCLUSIONS

NLR has the greatest value for the diagnosis, differential diagnosis, grading and molecular typing of gliomas. The NLR+dNLR combination also showed high sensitivity and specificity. We believe that inflammatory parameters may serve as economical and specific markers for glioma diagnosis, grading, molecular typing, and progression.

Friends with Benefits: Chemokines, Glioblastoma-Associated Microglia/Macrophages, and Tumor Microenvironment

Glioma is the most common primary intracranial tumor and has the greatest prevalence of all brain tumors. Treatment resistance and tumor recurrence in GBM are mostly explained by considerable alterations within the tumor microenvironment, as well as extraordinary cellular and molecular heterogeneity. Soluble factors, extracellular matrix components, tissue-resident cell types, resident or newly recruited immune cells together make up the GBM microenvironment. Regardless of many immune cells, a profound state of tumor immunosuppression is supported and developed, posing a considerable hurdle to cancer cells' immune-mediated destruction. Several studies have suggested that various GBM subtypes present different modifications in their microenvironment, although the importance of the microenvironment in treatment response has yet to be determined. Understanding the microenvironment and how it changes after therapies is critical because it can influence the remaining invasive GSCs and lead to recurrence. This review article sheds light on the various components of the GBM microenvironment and their roles in tumoral development, as well as immune-related biological processes that support the interconnection/interrelationship between different cell types. Also, we summarize the current understanding of the modulation of soluble factors and highlight the dysregulated inflammatory chemokine/specific receptors cascades/networks and their significance in tumorigenesis, cancer-related inflammation, and metastasis.

Glioblastoma: Relationship between Metabolism and Immunosuppressive Microenvironment

Glioblastoma (GBM) is the most aggressive brain tumor in adults and is characterized by an immunosuppressive microenvironment. Different factors shaping this tumor microenvironment (TME) regulate tumor initiation, progression, and treatment response. Genetic alterations and metabolism pathways are two main elements that influence tumor immune cells and TME. In this manuscript, we review how both factors can contribute to an immunosuppressive state and overview the strategies being tested.

Novel molecular panel for evaluating systemic inflammation and survival in therapy naïve glioma patients

BACKGROUND

Inflammation is crucial to tumor progression. A traumatic event at a specific site in the brain activates the signaling molecules, which triggers inflammation as the initial response within the tumor and its surroundings. The educated immune cells and secreted proteins then initiate the inflammatory cascade leading to persistent chronic inflammation. Therefore, estimation of the circulating inflammatory indicators kynurenine (KYN), interleukin-6 (IL-6), tissue-inhibitor of matrix-metalloproteinase-1 and human telomerase reverse transcriptase (hTERT) along with neutrophil-lymphocyte ratio (NLR) has prognostic value.

AIM

To assess the utility of chosen inflammatory marker panel in estimating systemic inflammation.

METHODS

The chosen markers were quantitatively evaluated in 90 naive, molecularly sub-typed plasma samples of glioma. A correlation between the markers and confounders was assessed to establish their prognostication power. Follow-up on the levels of the indicators was done 3-mo post-surgery. To establish the validity of circulating KYN, it was also screened qualitatively by dot-immune-assay and by immunofluorescence-immunohistochemistry in tumor tissues.

RESULTS

Median values of circulating KYN, IL-6, hTERT, tissue-inhibitor of matrix-metalloproteinase-1 and NLR in isocitrate-dehydrogenase-mutant/wildtype and within the astrocytic sub-groups were estimated, which differed from controls, reaching statistical significance (P < 0.0001). All markers negatively correlated with mortality (P < 0.0001). Applying combination-statistics, the panel of KYN, IL-6, hTERT and NLR achieved higher sensitivity and specificity (> 90%) than stand-alone markers, to define survival. The inflammatory panel could discriminate between WHO grades, and isocitrate-dehydrogenase-mutant/wildtype and define differential survival between astrocytic isocitrate-dehydrogenase-mutant/wildtype. Therefore, its assessment for precise disease prognosis is indicated. Association of KYN with NLR, IL-6 and hTERT was significant. Cox-regression described KYN, IL-6, NLR, and hTERT as good prognostic markers, independent of confounders. Multivariate linear-regression analysis confirmed the association of KYN and hTERT with inflammation marker IL-6.There was a concomitant significant decrease in their levels in a 3-mo follow-up.

CONCLUSION

The first evidence-based study of circulating-KYN in molecularly defined gliomas, wherein the tissue expression was found to be concomitant with plasma levels. A non-invasive model for assessing indicators of chronic systemic inflammation is proposed.

Correlation between preoperative inflammatory markers, Ki-67 and the pathological grade of glioma

ABSTRACT

To investigate the correlation between preoperative inflammatory markers, Ki-67 expression and the pathological grade of glioma, and to provide a reference for clinical prediction of glioma prognosis.A total of 45 glioma patients who underwent surgery with complete clinical and pathological data were in our hospital from January 2012 to December 2018 were enrolled. Glioma was divided into WHO grade I to IV. Forty-five healthy health examiners with matched clinical characteristics were included to the control group. Blood routine tests were recorded at admission in both the glioma and control group. The ratio of neutrophil to lymphocyte cytometry (NLR), derived neutrophil to lymphocyte ratio (dNLR) (white blood cell count - neutrophil count to neutrophil count), platelet to lymphocyte ratio (PLR) and prognostic nutritional index (PNI, serum albumin content + 5 × lymphocyte count) were calculated. The expression of Ki-67 in glioma was detected by immunohistochemistry. The relationship between the above markers, Ki-67 expression and pathological grade of glioma was evaluated with receiver operating characteristics curve analysis and Spearman correlation test. The correlation between the markers and Ki-67 were also determined.NLR, dNLR, PLR were increased in the glioma group (P < .001, <.001, .002), whereas red blood cell distribution width (RDW) was decreased (P = .009). All the glioma samples expressed Ki-67 with varying degree. Receiver operating characteristics curve analysis reveals NLR, dNLR, PLR, and RDW have significant discriminating ability in differentiating the glioma and control sample. NLR, PLR, PNI, and Ki-67 were significantly correlated with glioma pathology grade (P = .023, .006, .019, <.05), while dNLR and RDW were not associated with glioma grade. Finally, NLR and PLR were related to Ki-67 expression in glioma patients (P = .002, .022), while dNLR and RDW were not related to Ki-67 expression.Preoperative inflammatory markers NLR, PLR, PNI, and postoperative Ki-67 expression are associated with pathological grade of glioma. Detection of these markers may aid in better prediction of glioma prognosis.

Blood-Based Biomarkers for Glioma in the Context of Gliomagenesis: A Systematic Review

BACKGROUND

Gliomas are the most common and aggressive tumors of the central nervous system. A robust and widely used blood-based biomarker for glioma has not yet been identified. In recent years, a plethora of new research on blood-based biomarkers for glial tumors has been published. In this review, we question which molecules, including proteins, nucleic acids, circulating cells, and metabolomics, are most promising blood-based biomarkers for glioma diagnosis, prognosis, monitoring and other purposes, and align them to the seminal processes of cancer.

METHODS

The Pubmed and Embase databases were systematically searched. Biomarkers were categorized in the identified biomolecules and biosources. Biomarker characteristics were assessed using the area under the curve (AUC), accuracy, sensitivity and/or specificity values and the degree of statistical significance among the assessed clinical groups was reported.

RESULTS

7,919 references were identified: 3,596 in PubMed and 4,323 in Embase. Following screening of titles, abstracts and availability of full-text, 262 articles were included in the final systematic review. Panels of multiple biomarkers together consistently reached AUCs >0.8 and accuracies >80% for various purposes but especially for diagnostics. The accuracy of single biomarkers, consisting of only one measurement, was far more variable, but single microRNAs and proteins are generally more promising as compared to other biomarker types.

CONCLUSION

Panels of microRNAs and proteins are most promising biomarkers, while single biomarkers such as GFAP, IL-10 and individual miRNAs also hold promise. It is possible that panels are more accurate once these are involved in different, complementary cancer-related molecular pathways, because not all pathways may be dysregulated in cancer patients. As biomarkers seem to be increasingly dysregulated in patients with short survival, higher tumor grades and more pathological tumor types, it can be hypothesized that more pathways are dysregulated as the degree of malignancy of the glial tumor increases. Despite, none of the biomarkers found in the literature search seem to be currently ready for clinical implementation, and most of the studies report only preliminary application of the identified biomarkers. Hence, large-scale validation of currently identified and potential novel biomarkers to show clinical utility is warranted.

Role and value of inflammatory markers in brain tumors: A case controlled study

Introduction

Brain tumor is one of the most devastating diseases in the world. The Pathogenesis is vary in multiple aspect of mechanism. The tumor microenvironment contains many different noncancerous cell types in addition to cancer cells. Inflammation is thought to be one of the factors that influence the oncogenesis process in brain tumors.

Methods

This study is a case controlled analytical study that analyzes the relationship between levels of inflammatory markers with the type of brain tumor. Samples of 35 people were then categorized according to the variables above and analyzing to measure its significance.

Results

Based on demografic study, most sample was male with age was 41-50 years It was found that high levels of procalcitonin were found in the case of glioma brain tumors. Procalcitonin level was considered a significant marker in predicting the severity of a brain tumor (p < 0.005). There was no significant value between the C-Reactive Protein and Neutrophyl-Lymphocyte ratio values for brain tumors.

Discussion

Abnormal inflammation is a characteristic of malignant cancers and malignant transformation of low-grade gliomas and other brain tumor. Inflammation-induced activation of transcription factors contributes to the survival and rapid growth of glioma cells.

Conclusion

As in other malignant cancers, inflammation may contribute to tumor progression. Biomarkers based on inflammation, such as the classical example of Procalcitonin and C-reactive protein, have been used to assess prognosis of glioma patients. These results should be validated and extended in larger clinical studies.

Peripheral Inflammatory Blood Markers in Diagnosis of Glioma and IDH Status

Objective  Gliomas are the most common intracranial tumors. Histopathology and neuroimaging are the main modalities used for diagnosis and treatment response monitoring. However, both are expensive and insensitive methods and can cause neurological deterioration. This study aimed to develop a minimally invasive peripheral inflammatory biomarker for diagnosis of glioma, its grade, and isocitrate dehydrogenase (IDH) status. Materials and Methods  Patients undergoing surgery for glioma, acoustic neuroma, and meningioma between January 2019 and December 2019 were included. Preoperative neutrophil/lymphocyte ratio (NLR), derived NLR (dNLR), platelet/lymphocyte ratio (PLR), lymphocyte/monocyte ratio (LMR), eosinophil/lymphocyte ratio (ELR), and prognostic nutritional index (PNI) were calculated. Histopathology and immunohistochemistry (IHC) staining were done postoperatively. Results  A total of 154 patients of glioma, 36 patients of acoustic neuroma, 58 patients of meningioma, and 107 healthy controls were included. dNLR showed the maximum area under the curve (AUC) (0.656639) for diagnosis of glioma from other tumors and among combinations. dNLR +NLR showed the maximum AUC (0.647865). Maximum AUC for glioblastoma multiforme (GBM) versus other grades and among combinations was shown by NLR (0.83926). NLR + dNLR had the maximum AUC (0.764794). NLR showed significant p value in differentiating IDH wild from IDH mutant GBM. Conclusion  dNLR has the maximum diagnostic value in diagnosing glioma from other tumors. NLR (AUC = 0.83926) showed the highest accuracy for GBM diagnosis and may be a parameter in predicting the grade of glioma; also, it has maximum diagnostic value in differentiating IDH wild GBM from IDH mutant GBM. These peripheral inflammatory parameters may prove to be sensitive and cost-effective markers for glioma diagnosis, predicting grade of glioma, monitoring of treatment response, and in predicting recurrence.

Myeloid Cells in Glioblastoma Microenvironment

Glioblastoma (GBM) is the most aggressive, malignant primary brain tumor in adults. GBM is notoriously resistant to immunotherapy mainly due to its unique immune microenvironment. High dimensional data analysis reveals the extensive heterogeneity of immune components making up the GBM microenvironment. Myeloid cells are the most predominant contributors to the GBM microenvironment; these cells are critical regulators of immune and therapeutic responses to GBM. Here, we will review the most recent advances on the characteristics and functions of different populations of myeloid cells in GBM, including bone marrow-derived macrophages, microglia, myeloid-derived suppressor cells, dendritic cells, and neutrophils. Epigenetic, metabolic, and phenotypic peculiarities of microglia and bone marrow-derived macrophages will also be assessed. The final goal of this review will be to provide new insights into novel therapeutic approaches for specific targeting of myeloid cells to improve the efficacy of current treatments in GBM patients.

Combined Diagnostic Significance of Preoperative Serum β2-Microglobulin and Routine Blood Test in Patients with High-grade Glioma and Solitary Brain Metastasis

Background

High-grade glioma (HGG) and solitary brain metastasis (sBM) patients show similar symptoms in clinical practice, and accurately differential diagnosis directly affects the management and prognosis of patients. The aim of this study was to distinguish two entities by preoperative serum β2-microglobulin (β2-m) and routine blood test-associated inflammatory indexes including, white blood cell (WBC), neutrophils, lymphocytes, monocytes, and platelets count, red cell distribution width (RDW), platelet distribution width (PDW), neutrophil/lymphocyte ratio (NLR) and monocyte/lymphocyte ratio (MLR).

Patients and Methods

A retrospective analysis was performed in the Cancer Hospital of the University of Chinese Academy of Sciences from January 2015 to December 2019, including 127 patients of newly pathologically diagnosed with HGG and 174 patients with sBM. Clinical information including age, gender, pathological diagnosis, preoperative serum β2-m and routine blood tests were collected, and NLR and MLR were calculated. The diagnostic significance of these markers for HGG and sBM was assessed by receiver operating characteristic (ROC) curves.

Results

The patients with sBM had significantly higher values of preoperative age, β2-m, NLR and MLR as well as lower lymphocytes count than patients with HGG. Besides, the area under the curve (AUC) in differentiating HGG from sBM was 0.625 (95%CI: 0.561–0.689) for age, 0.655 (0.594–0.717) for β2-m, 0.634 (0.571–0.698) for NLR and 0.622 (0.559–0.686) for MLR, and the combination of Age+β2-m+NLR+MLR showed the best diagnostic performance with AUC of 0.731 (0.675–0.788) and 0.048*Age+0.001*β2-m+0.201*NLR+0.594*MLR>5.813 could indicate sBM rather than HGG.

Conclusion

The Age+β2-m+NLR+MLR combination was revealed as an inexpensive and noninvasive biomarker for differentiating between HGG and sBM before surgery.

Systemic Inflammatory Indicators as Prognosticators in Glioblastoma Patients: A Comprehensive Meta-Analysis

Background: Inflammation plays an important role in tumorigenesis. Previous studies have reported the prognostic value of several peripheral inflammatory markers in glioma patients, including the neutrophil-to-lymphocyte ratio (NLR). However, it still remains unclear whether inflammatory markers can independently predict the prognosis of glioblastoma (GBM) patients. The present study aims to explore the prognostic value of systemic inflammatory markers, including neutrophils, lymphocytes, platelets, the NLR, and the platelet-to-lymphocyte ratio (PLR), in patients with GBM.

Methods: A comprehensive systemic search and review was performed using the PubMed, EMBASE, and Cochrane Library databases to identify all the relevant literature (published before June 30, 2020) that evaluated the association between any of these inflammatory markers and survival in GBM.

Results: There were 2 (634 patients), 3 (723 patients), 2 (237 patients), 8 (1,225 patients), and 3 (505 patients) studies examining the correlation of survival with neutrophils, lymphocytes, platelets, the NLR, and the PLR, respectively. An elevated NLR and elevated neutrophil and platelet counts were associated with worse overall survival (OS) in GBM patients (NLR: hazard ratio [HR] = 1.63, 95% confidence interval [CI]: 1.23–2.15, p = 0.0007; neutrophil count: HR = 1.46, 95% CI:1.16–1.83, p = 0.001; platelet count: HR = 1.58, 95% CI: 1.42–1.77, p < 0.00001). However, there was no significant association between the PLR or the absolute lymphocyte count and OS in GBM patients.

Conclusion: The NLR and the absolute neutrophil and platelet counts may be valuable and convenient peripheral inflammatory markers to evaluate the prognosis of GBM patients. Further prospective studies are needed to verify its reliability.

Pre-operative hematological markers as predictive factors for overall survival and progression free survival in glioblastomas

INTRODUCTION

Several hematological factors, such as neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), prognostic nutrition index (PNI) and albumin-to-globulin ratio (AGR), have been highlighted as systemic worse prognostic parameters for the outcome in gliomas. The aim of this study is to identify some pre-operative routinely blood tests as predictive parameters for the Overall Survival (OS) and Progression Free Survival (PFS) in glioblastoma (GBM).

MATERIALS AND METHODS

From January 2013 to April 2019, 124 patients operated for glioblastoma were analyzed. Data were collected regarding age, sex, Karnofsky performance status (KPS), IDH status, the extent of resection (EOR) and adjuvant therapy. The hematological parameters were collected at admission: neutrophils, lymphocytes and platelets, hemoglobin, lactate dehydrogenase, albumin, NLR, PLR, AGR and PNI. The OS and the PFS were considered as the end-point for the evaluation of the predictive factors.

RESULTS

A pre-operative neutrophil count > 7 × 10⁹/L was a worse prognostic factor for OS and PFS at univariate analysis (p = 0.004 and p = 0.025), as well as hypo-albuminemia. Thrombocytosis, lymphopenia and NLR > 4 were associated to a worse OS, at uni- and multivariate analysis, resulting as poor predictive parameters, independently to EOR, the IDH mutation and the adjuvant therapy.

CONCLUSIONS

Still nowadays there are no sensitive or specific hematological markers which are routinely applied for detecting and monitoring the treatment-response and the prognosis of glioblastoma. In our study, a pre-operative low cost and widely used blood markers, such as NLR, lymphocytes and platelets could be predictable prognostic factors for the Overall Survival of patients affected by glioblastomas.

Procalcitonin and C-reactive protein perform better than the neutrophil/lymphocyte count ratio in evaluating hospital acquired pneumonia

Background

The relationship between biomarkers and hospital-acquired pneumonia (HAP) is understudied, especially in severe cases admitted to the intensive care unit (ICU). Compared with community-acquired pneumonia (CAP), HAP might have different traits regarding biomarkers due to the previous history in hospitals.

Methods

A total of 593 adult patients were enrolled in this retrospective cohort study to determine the neutrophil/lymphocyte count ratio (NLCR), procalcitonin (PCT), C-reactive protein (CRP) and serum lactate level upon admission to the ICU. According to diagnosis, patients were divided into two groups: non-infection and HAP. Discriminant analysis was performed based on better outcomes of diagnostic performance and severity evaluation. The diagnostic performance of each individual biomarker was assessed by constructing receiver operating characteristic (ROC) curves and calculating the area under each ROC curve (AUROC). Multivariable analysis was also applied to determine the most appropriate prognostic factors.

Results

NLCR, PCT and CRP were markedly different between the non-infection and HAP groups. NLCR had a worse ability to discriminate severe infection (AUROC 0.626; 95% CI 0.581–0.671) than conventional markers such as CRP (0.685, 95% CI 0.641–0.730) and PCT (0.661, 95% CI 0.615–0.707). In addition, the AUROC of composite biomarkers, especially the combination of NLCR, CRP and WBC, was significantly greater than that of any single biomarker.

Conclusions

NLCR was not comparable to conventional single biomarkers, such as CRP and PCT, for diagnosing or evaluating the severity of HAP. Composite biomarkers that have good accessibility, especially the combination of NLCR, CRP and WBC, could help with early diagnosis and severity evaluation.

Prognostic Value of Pretreatment Systemic Immune-Inflammation Index in Glioblastoma Multiforme Patients Undergoing Postneurosurgical Radiotherapy Plus Concurrent and Adjuvant Temozolomide

Objectives

To evaluate the potential prognostic utility of pretreatment systemic immune-inflammation index (SII) in newly diagnosed glioblastoma multiforme (GBM) patients who underwent postneurosurgical radiotherapy and concurrent plus adjuvant temozolomide.

Methods

The retrospective data of GBM patients who underwent postneurosurgical radiotherapy and concurrent plus adjuvant temozolomide were analyzed. For each patient, SII was calculated using the platelet, neutrophil, and lymphocyte measures obtained on the first day of treatment: SII = platelets × neutrophils/lymphocytes. The receiver operating characteristic (ROC) curve analysis was utilized for the evaluation of optimal cut-off values for SII those linked with the outcomes. Primary and secondary endpoints constituted the overall (OS) and progression-free survival (PFS) per conveyance SII group.

Results

A total of 167 patients were included. The ROC curve analysis identified the optimum SII cut-off at a rounded 565 value that significantly interacted with the PFS and OS and stratified patients into two groups: low-SII (SII < 565; n = 71) and high-SII (SII ≥ 565; n = 96), respectively. Comparative survival analyses exhibited that the high-SII cohort had significantly shorter median PFS (6.0 versus 16.6 months; P < 0.001) and OS (11.1 versus 22.9 months; P < 0.001) than the low-SII cohort. The relationship between the high-SII and poorer PFS (P < 0.001) and OS (P < 0.001) further retained its independent significance in multivariate analysis, as well.

Conclusions

The outcomes displayed here qualified the pretreatment SII as a novel independent prognostic index for predicting survival outcomes of newly diagnosed GBM patients undergoing postneurosurgical radiotherapy and concurrent plus adjuvant temozolomide.

Can preoperative neutrophil to lymphocyte, lymphocyte to monocyte, or platelet to lymphocyte ratios differentiate glioblastoma from brain metastasis?

This retrospective analysis of patients aims to show the blood levels of preoperative inflammatory markers in patients with glioblastoma and brain metastasis and to provide the diagnostic accuracy of the neutrophil-lymphocyte (NLR), lymphocyte-monocyte (LMR), and platelet-lymphocyte (PLR) ratios between the 2 groups of patients.The retrospective reviews of the neutrophil, lymphocyte, monocyte, and platelet counts were analyzed in 80 patients with newly diagnosed glioblastoma and 70 patients with brain metastasis. The NLR, LMR, and PLR were calculated in each group. The differences in all the parameters were compared between the 2 groups.Although the neutrophil, monocyte, and platelet counts were higher and the lymphocyte count was lower in patients with metastasis, the difference was not significant. A significantly higher PLR (P = .004) and a lower LMR (P = .01) were found in patients with brain metastasis. Although both PLR and LMR had diagnostic accuracy in differentiating glioblastoma from brain metastasis, LMR showed the highest diagnostic accuracy. NLR showed no diagnostic accuracy.Systemic inflammation is more severe in glioblastoma than in brain metastasis, and LMR is more sensitive and/or specific than PLR in differentiating glioblastoma from brain metastasis. Therefore, LMR (less likely PLR) can be used as an index for differentiating between glioblastoma and brain metastasis before surgery.

The Practical Use of White Cell Inflammatory Biomarkers in Prediction of Postoperative Delirium after Cardiac Surgery

: Introduction: Postoperative delirium (POD) is associated with unfavorable outcomes. It may result from neuroinflammation and oxidative stress. The aim of this study was to evaluate the role of routinely available inflammatory markers derived from white blood cell count (WBC), for prognostic value in diagnosing delirium after cardiac surgery.

METHODS

We performed an analysis of data collected from patients undergoing planned coronary artery bypass grafting (CABG). Differential WBC and CRP concentration were evaluated preoperatively (T0) and postoperatively at day 1 (T1), 3 (T3), 5 (T5) after CABG. Differences in neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR) and platelet-to-WBC ratio (PWR) between patients with (Del+) and without delirium (Del-) were evaluated. Patients were screened using CAM-ICU.

RESULTS

We included 968 patients in the study. Incidence of delirium was 13.3%. In the group with POD, the majority of patients were men (87/129, 67.44%), and the mean age was 72 years. Preoperative WBC (8.21 ± 3.04 G/l vs. 7.55 ± 1.86 G/l, p = 0.029) were higher and mean platelet count was lower (217.7 ± 69.07 G/l vs. 227.44 ± 59.31 G/l, p = 0.031) in patients with POD. Lower pre-operative PLR values (109.87 ± 46.38 vs. 120.36 ± 52.98, p = 0.026) and PWR values (27.69 7.50 vs. 31.32 9.88 p < 0.001) were found in patients with POD. Association was strongest for PWR and remained significant at T1 (p < 0.001), T3 (p < 0.001) and T5 (p < 0.001). Basing on coefficients of logistic regression a model for optimal prediction of POD was calculated: CARDEL Index = 0.108 × Age + 0.341 × HBA1C - 0.049 × PWR with AUC of 0.742 (p < 0.001).

CONCLUSIONS

The results of this study show that lower pre-operative levels of PLR and PWR were associated with POD after cardiac surgery. Pre-operative PWR showed strongest correlation with POD and may be a potential new biomarker associated with postoperative delirium. CARDEL prognosis index composed of age, HbA1c and PWR is good at predicting development of delirium after CABG.

The Neutrophil/Lymphocyte Count Ratio Predicts Mortality in Severe Traumatic Brain Injury Patients

Introduction: Neutrophil-lymphocyte count ratio (NLCR) is a simple and low-cost marker of inflammatory response. NLCR has shown to be a sensitive marker of clinical severity in inflammatory-related tissue injury, and high value of NLCR is associated with poor outcome in traumatic brain injured (TBI) patients. The purpose of this study was to retrospectively analyze NLCR and its association with outcome in a cohort of TBI patients in relation to the type of brain injury. Methods: Adult patients admitted for isolated TBI with Glasgow Coma Score lower than eight were included in the study. NLCR was calculated as the ratio between the absolute neutrophil and lymphocyte count immediately after admission to the hospital, and for six consecutive days after admission to the intensive care unit (ICU). Brain injuries were classified according to neuroradiological findings at the admission computed tomography (CT) as DAI—patients with severe diffuse axonal injury; CE—patients with hemispheric or focal cerebral edema; ICH—patients with intracerebral hemorrhage; S-EH/SAH—patients with subdural and/or epidural hematoma/subarachnoid hemorrhage. Results: NLCR was calculated in 144 patients. Admission NLCR was significantly higher in the non-survivors than in those who survived at 28 days (p < 0.05) from admission. Persisting high NLCR value was associated with poor outcome, and admission NLCR higher than 15.63 was a predictor of 28-day mortality. The highest NLCR value at admission was observed in patients with DAI compared with other brain injuries (p < 0.001). Concussions: NLCR can be a useful marker for predicting outcome in TBI patients. Further studies are warranted to confirm these results.

Sanbo Scoring System, Based on Age and Pre-treatment Hematological Markers, is a Non-invasive and Independent Prognostic Predictor for Patients with Primary Glioblastomas: A Retrospective Multicenter Study

Various hematological markers are associated with survival in patients with glioblastomas (GBMs), as they reflect inflammation and nutrition status. However, single markers are insufficient for predicting prognosis in GBM, and a comprehensive scoring system is needed. In this study, we developed a simple, inexpensive, and non-invasive scoring system, referred to as the Sanbo Scoring System (SSS), to predict survival in patients with GBMs. Patients with GBM were retrospectively assigned to two independent cohorts at Sanbo Brain Hospital and National Cancer Center/Cancer Hospital. Clinical records, including age, routine blood tests, biochemistry and coagulation examinations, and IDH-1 status, were collected. In total, 274 and 87 patients with GBMs at Sanbo Brain Hospital and National Cancer Center/Cancer Hospital were included as derivation and validation cohorts, retrospectively. We developed the SSS based on data for the derivation cohort, i.e., age, neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), albumin-to-globulin ratio (AGR), and fibrinogen levels. These patients were divided into three groups that differed with respect to age, inflammation-nutrition status, and overall survival (p < 0.001), i.e., SSS 0, 1, and 2. NLR, PLR, and fibrinogen levels were lower and AGR was higher in the SSS 2 group than in the other groups, indicating better inflammation and nutrition statuses. Additionally, the longest overall survival was observed in this group. A multivariate analysis showed that SSS was an independent prognostic factor. The validation cohort supported all the results. SSS was a simple, non-invasive, and effective scoring system, and independently predicted survival in GBMs.

Preoperative Neutrophil/Lymphocyte Ratio Is an Independent Prognostic Biomarker in Patients with Low-Grade Gliomas

BACKGROUND

There are no standardized criteria to predict the prognosis of patients with low-grade gliomas. Therefore, novel prognostic biomarkers that can guide follow-up schedules and therapeutic approaches urgently are required in patients with low-grade gliomas.

METHODS

One hundred nineteen patients with World Health Organization (WHO) II gliomas were recruited between January 2010 and December 2016 from Xiangya Hospital for this study. We collected neutrophil and lymphocyte values from the full blood counts measured 24 h before surgery. Neutrophil-to-lymphocyte ratios (NLRs) were then calculated. The significance of the NLR was determined based on a nonparametric test. The Kaplan-Meier method was used to estimate survival rates. The influence of the NLR on progression-free survival and overall survival was evaluated using univariate and multivariate Cox proportional hazards models.

RESULTS

Preoperative NLRs were upregulated in patients with WHO II gliomas who relapsed or died. Preoperative NLRs were also significantly correlated with age, preoperative neutrophil values, and preoperative lymphocyte values. Compared with the low preoperative NLR group, patients with WHO II gliomas in the high preoperative NLR group had significantly higher relapse and lower survival rates. In addition, the preoperative NLR and tumor type were independent prognostic parameters of progression-free survival for WHO II gliomas, whereas only the preoperative NLR was an independent prognostic parameter of overall survival for WHO II gliomas.

CONCLUSIONS

High preoperative NLRs were significantly associated with greater relapse and poor prognosis in patients with WHO II gliomas.

Preoperative systemic inflammatory markers in low- and high-grade gliomas: A retrospective analysis of 171 patients

Purpose

Preoperative neutrophil-lymphocyte ratio (NLR), platelet-lymphocyte ratio (PLR) and lymphocyte-monocyte ratio (LMR) are recognized as prognostic markers of grade of gliomas. The aim of this study was to determine whether preoperative levels of NLR, PLR, and LMR differ between low- and high-grade gliomas.

Methods

Retrospective analysis of preoperative neutrophil, lymphocyte, monocyte, and platelet counts and NLR, PLR, and LMR were performed in 171 patients who underwent glioma surgery. The results were compared between low- and high-grade gliomas.

Results

Neutrophil count was significantly increased while lymphocyte count significantly decreased in high-grade gliomas (HGGs). NLR and PLR were significantly higher in HGGs but LMR was significantly reduced in HGGs. NLR and PLR correlated with glioma grade and only NLR showed highest accuracy predicting higher grade.

Conclusions

Levels of preoperative NLR value can help to evaluate disease progression and predict higher grade of glioma.

Diagnostic value of preoperative inflammatory markers in patients with glioma: a multicenter cohort study

OBJECTIVE

Glioma is the most common form of brain tumor and has high lethality. The authors of this study aimed to elucidate the efficiency of preoperative inflammatory markers, including neutrophil/lymphocyte ratio (NLR), derived NLR (dNLR), platelet/lymphocyte ratio (PLR), lymphocyte/monocyte ratio (LMR), and prognostic nutritional index (PNI), and their paired combinations as tools for the preoperative diagnosis of glioma, with particular interest in its most aggressive form, glioblastoma (GBM).

METHODS

The medical records of patients newly diagnosed with glioma, acoustic neuroma, meningioma, or nonlesional epilepsy at 3 hospitals between January 2011 and February 2016 were collected and retrospectively analyzed. The values of NLR, dNLR, PLR, LMR, and PNI were compared among patients suffering from glioma, acoustic neuroma, meningioma, and nonlesional epilepsy and healthy controls by using nonparametric tests. Correlations between NLR, dNLR, PLR, LMR, PNI, and tumor grade were analyzed. Receiver operating characteristic (ROC) curve analysis was performed to evaluate the diagnostic significance of NLR, dNLR, PLR, LMR, PNI, and their paired combinations for glioma, particularly GBM.

RESULTS

A total of 750 patients with glioma (Grade I, 81 patients; Grade II, 208 patients; Grade III, 169 patients; Grade IV [GBM], 292 patients), 44 with acoustic neuroma, 271 with meningioma, 102 with nonlesional epilepsy, and 682 healthy controls were included in this study. Compared with healthy controls and patients with acoustic neuroma, meningioma, or nonlesional epilepsy, the patients with glioma had higher values of preoperative NLR and dNLR as well as lower values of LMR and PNI, whereas PLR was higher in glioma patients than in healthy controls and patients with nonlesional epilepsy. Subgroup analysis revealed a positive correlation between NLR, dNLR, PLR, and tumor grade but a negative correlation between LMR, PNI, and tumor grade in glioma. For glioma diagnosis, the area under the curve (AUC) obtained from the ROC curve was 0.722 (0.697–0.747) for NLR, 0.696 (0.670–0.722) for dNLR, 0.576 (0.549–0.604) for PLR, 0.760 (0.738–0.783) for LMR, and 0.672 (0.646–0.698) for PNI. The best diagnostic performance was obtained with the combination of NLR+LMR and dNLR+LMR, with AUCs of 0.777 and 0.778, respectively. Additionally, NLR (AUC 0.860, 95% CI 0.832–0.887), dNLR (0.840, 0.810–0.869), PLR (0.678, 0.641–0.715), LMR (0.837, 0.811–0.863), and PNI (0.740, 0.706–0.773) had significant predictive value for GBM compared with healthy controls and other disease groups. As compared with the Grade I–III glioma patients, the GBM patients had an AUC of 0.811 (95% CI 0.778–0.844) for NLR, 0.797 (0.763–0.832) for dNLR, 0.662 (0.622–0.702) for PLR, 0.743 (0.707–0.779) for LMR, and 0.661(0.622–0.701) for PNI. For the paired combinations, NLR+LMR demonstrated the highest accuracy.

CONCLUSIONS

The NLR+LMR combination was revealed as a noninvasive biomarker with relatively high sensitivity and specificity for glioma diagnosis, the differential diagnosis of glioma from acoustic neuroma and meningioma, GBM diagnosis, and the differential diagnosis of GBM from low-grade glioma.

Preoperative Changes in Hematological Markers and Predictors of Glioma Grade and Survival

Background: Preoperative hematological markers that indicate nutritional, coagulation, and inflammation statuses have prognostic value for gliomas. This study aimed to investigate hematological markers with regard to tumor grades, isocitrate dehydrogenase mutations (IDH), age, and sex in patients with gliomas. Methods: From 2008 to 2017, patients with a pathological diagnosis of glioma who underwent surgery were retrospectively enrolled in this study. Information from clinical records, including age, sex, preoperative experiment tests (routine blood tests, biochemistry, and coagulation examinations), pathological results, and IDH status, was collected. A univariable survival analysis was performed. Hematological factors such as the neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte-ratio (PLR), and albumin-to-globulin (AGR) were calculated. The prognostic nutrition index (PNI) was calculated as 10 × serum albumin value (g/dl) + 0.005 × peripheral lymphocyte count (per mm³). Results: Our study included 706 patients. The univariate analysis showed that age, IDH-1, and hematological factors were all significantly associated with overall survival (OS) in patients with gliomas. Our results showed that inflammation markers (NLR, PLR, and fibrinogen) were positively associated with age, whereas AGR was negatively associated with age. The PLR was significantly increased, whereas the AGR and PNI were decreased in women with gliomas, as compared with men. We found that inflammation markers increased and nutrition markers decreased with gliomas grade. However, these hematological markers did not significantly differ with IDH status. NLR was the best single hematological marker for distinguishing glioblastoma (GBM) [0.684 (0.645-0.723)], IDH-wt GBM [0.672 (0.631-0.71)] from other gliomas subtypes. Combinations of age with PNI and age with AGR were the best predictors of GBM [0.750 (0.713-0.786)] and IDH-wt GBM [0.759 (0.719-0.798)], respectively. Conclusion: Preoperative hematological marker levels vary among glioma grades and have high predictive values for GBM.

Circulatory YKL-40 & NLR: Underestimated Prognostic Indicators in Diffuse Glioma

In addition to histopathological parameters, evaluation of associated hematological factors is essential for devising a sensitive prognostic scale in glioma. Increased neutrophil-lymphocyte ratio (NLR), a marker of systemic inflammatory response, has recently been associated with worse outcome in various cancers. Given that glioma progression is characterized by inflammation, aggressive angiogenesis, and invasion, increased levels of systemic human-chitinase-3-like-one protein (YKL-40) have also been linked to poor prognosis. The aim of the present study was to assess the plausible association of YKL-40, NLR, and platelet count with increasing tumor grade, and evaluate their status as independent prognostic factors in terms of overall survival (OS) in treatment naive patients with diffuse glioma. Plasma levels of both biochemical markers in 72 diffuse gliomas, median age 42 years, were compared with 36 controls. Comparison of YKL-40, NLR, and PC with respect to tumor grade was found to be significant for each of the markers (P <0.0001) while an inverse significant correlation was seen for YKL-40 and NLR with OS (r = -0.4619, P <0.0001, and r = -0.5561, P < 0.0001, respectively). NLR was the best performing marker with AUC 0.9417 at 97% specificity. In addition, YKL-40 had a positive correlation with NLR (r = 0.4902, P <0.0001), indicating that expression of both markers was linked to inflammation and tumor progression as they were significantly correlated with tumor grade. Expression of YKL-40 and NLR was independently associated with worse survival (HR 1.0062, P = 0.039, and HR 1.1787, P = 0.0003, respectively), thus establishing their clinical utility as prognosticators for diffuse gliomas.

Prognostic significance of preoperative neutrophil-to-lymphocyte ratio and platelet-to-lymphocyte ratio in patients with glioma

The neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) have been recognized as inflammatory markers and used as prognostic makers in various cancers. The present study sought to investigate the prognostic role of NLR and PLR in Chinese patients with glioma. Clinical data, including NLR, PLR and overall survival (OS), were collected from 112 patients who underwent surgery to treat primary glioma. Kaplan-Meier survival analysis as well as uni- and multivariate Cox regression were performed to examine potential associations of preoperative NLR and PLR with OS. Among all patients, mean NLR was 3.80±1.48 and mean PLR was 183.60±81.38. NLR increased with increasing WHO tumor grade (p < 0.05), but PLR did not (p > 0.05). Patients with NLR ≥ 4 had significantly shorter mean OS (20.75±7.68 months) than patients with NLR < 4 (26.91±7.50 months; p < 0.001). Similarly, patients with PLR ≥ LR had significantly shorter OS than patients with PLR < 200 (p = 0.007). Univariate Cox analysis identified the following parameters as significantly associated with worse OS: NLR (≥ 4), PLR (> 200), tumor size (≥ 5 cm), WHO grade (III/IV), and Karnofsky Performance Status (< 70). Multivariate analysis identified only NLR > 4 as an independent predictor of OS (HR 1.932, 95 % CI 1.011 to 3.694, p = 0.046). Our results suggest that at least in Chinese patients, increased preoperative NLR and PLR are associated with worse OS, and NLR may be an independent risk factor to identify glioma patients with poor prognosis. These results should be validated and extended in larger clinical studies.

Preoperative inflammation markers and IDH mutation status predict glioblastoma patient survival

Recent studies suggest that inflammation response biomarkers are prognostic indicators of solid tumor outcomes. Here, we quantify the prognostic value of the neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and lymphocyte-to-monocyte ratio (LMR) in glioblastomas (GBMs), taking into consideration the role of the isocitrate dehydrogenase (IDH) mutation status. We examined 141 primary glioblastomas (pGBMs) and 25 secondary glioblastomas (sGBMs). NLRs, PLRs, and LMRs were calculated before surgery. IDH mutations were detected immunohistochemically after tumor resection, and patients' clinical outcomes were analyzed after classification into GBM, pGBM, and IDH-wild type glioblastoma (IDH-wt GBM) groups. To make comparisons, we set cutoffs for NLR, PLR and LMR of 4.0, 175.0, and 3.7, respectively. In a multivariate analysis, both NLR (HR=1.712, 95% CI 1.026-2.858, p=0.040) and PLR (HR=2.051, 95% CI 1.288-3.267, p=0.002) had independent prognostic value. While a low NLR was associated with a better prognosis only in the IDH-wt GBM group, PLR was predictive of patient survival in the GBM, pGBM, and IDH-wt GBM groups. By contrast, LMR exhibited no prognostic value for any of the 3 types of GBM.

Pre-operative neutrophil count and neutrophil-lymphocyte count ratio (NLCR) in predicting the histological grade of paediatric brain tumours: a preliminary study

INTRODUCTION

The neutrophil-lymphocyte count ratio (NLCR) is an established prognostic marker for renal, lung and colorectal carcinomas and has been suggested to be predictive of histological grade and outcome in adult intracranial tumours. The purpose of this study was to determine whether a correlation of the pre-operative neutrophil count (NC) and NLCR with the final histological grade exists in paediatric intracranial tumours.

METHODS

A retrospective analysis was undertaken at a single centre. Patients less than 18 years old at the time of surgery who underwent tumour-related procedures from 2006 to 2015 were included. Patients with recurrent tumours, previous bone marrow transplant and metastases were excluded. Pre-operative full blood counts (FBC), collected before the diagnosis of intracranial pathology and before administration of steroids, were matched with histological diagnosis for each patient. Post-operative FBC was also recorded, together with survival data where applicable.

RESULTS

A total of 116 patients (74 male, 42 female; mean age, 8 ± 0.9 years) with a diagnosis of primary intracranial tumours had pre-operative FBC that could be matched to final histological grade. Pre-operative NC and NLCR were higher with increasing grade of tumour: grade 1 (NC 4.29 10⁹/l, NLCR 2.26), grade 2 (NC 4.59 10⁹/l, NLCR 2.38), grade 3 (NC 5.67 10⁹/l, NLCR 2.72) and grade 4 (NC 6.59 10⁹/l, NLCR 3.31). Patients with WHO grade 1 and 2 tumours pooled together had a lower NC (4.37 95% CI ± 0.67 10⁹/l) compared to WHO grade 3 and 4 patients (6.41 95% CI ± 0.99 10⁹/l, p = 0.0013). The NLCR was lower in grade 1 and 2 tumours (2.29 ± 0.59) (compared to grade 3 and 4 tumours; 3.20 ± 0.76) but this did not reach significance (p = 0.069). The subgroup of patients with pilocytic astrocytoma had a significantly lower NC when compared to patients with high-grade tumours (p = 0.005). Medulloblastoma and supratentorial PNET subgroups had significantly higher NC compared to the low-grade group (p = 0.033, p = 0.002). Post-operative NC was significantly higher in the high-grade tumours (p = 0.034), but no difference was observed for NLCR (p = 0.28).

CONCLUSIONS

No evidence exists to support the correlation of pre-operative NC or NLCR to histological diagnosis in paediatric intracranial tumours. Our results indicate that a higher pre-operative NC/NLCR correlates with a higher histological grade of tumour. This suggests that immunological mechanisms may be involved in the pathogenesis of paediatric brain tumours, and a further prospective study is required to substantiate and expand these findings.

Neutrophil to Lymphocyte Ratio as a Novel Predictor of Outcome in Patients With Severe Traumatic Brain Injury

OBJECTIVE

The neutrophil to lymphocyte ratio (NLR) has been reported to be a predictor of outcome in critical illness. Objective of this study was to investigate the changes of the NLR in patients with severe traumatic brain injury (TBI) and analyze the relationship between the NLR and TBI outcome.

SETTING

China.

PARTICIPANTS

A total of 855 patients with severe TBI from January 2007 to April 2012.

DESIGN

Retrospective.

MAIN MEASUREMENT

Data on the NLR and other indicators were collected. After follow-up until death or 1 year, the relationship between the NLR and TBI outcome was analyzed retrospectively.

RESULTS

The final analysis included 688 patients. There were 508 (73.8%) who had an unfavorable outcome by 1 year after head trauma. The value of the NLR on admission was significantly higher in the unfavorable outcome group than in the favorable outcome group (P < .001). Multivariate logistic analysis showed that higher NLR was associated with an unfavorable outcome (odds ratio, 1.100; P < .001). Receiver operating characteristic curve analysis showed that the NLR had a sensitivity of 60.2% and a specificity of 71.1% for predicting unfavorable outcome at 1 year on the basis of the best threshold.

CONCLUSION

The NLR might be useful as a novel predictor for 1-year outcome and mortality in severe TBI.

Prognostic Significance of Indicators of Systemic Inflammatory Responses in Glioblastoma Patients

Background: High-grade gliomas, with glioblastomas as the most frequently observed histologic subtype, are the most common primary brain tumours in adults. It is considered that inflammatory responses play a major role in malignancies, including tumour progression. This study aimed to determine the prognostic significance of the neutrophil to lymphocyte ratio (NLR) and the thrombocyte to lymphocyte ratio (PLR) as indicators of systemic inflammatory response (SIR) in glioblastoma patients. Methods: A total of 90 patients treated for glioblastoma were retrospectively evaluated. Absolute counts were used to generate NLR and PLR. A SIR was considered to be present with an NLR ≥5 and/or PLR ≥150. Results: Median follow-up time was 11.3 months (range: 1-70 months). The 1-year and 2-year overall survival rates were 55.2% and 19.5%, respectively. Univariate analysis showed that there was no correlation between overall survival and gender (p=0.184), comorbid disease (p = 0.30), clinical presentation (p = 0.884), or tumour lateralization (p = 0.159). Multivariate analysis showed that overall survival was significantly correlated with SIR based on NLR (HR: 2.41), and ECOG performance status (HR: 1.53). The prognostic factors that affected survival, other than SIR, were Eastern Cooperative Oncology Group (ECOG) performance status (p = 0.003), and tumour localization (p = 0.006). Conclusion: The present findings confirm that NLR based on peripheral blood counts prior to treatment can be used as a prognostic factor in patients with glioblastoma. Since tumour aggression increases and survival decreases as the NLR value rises, choice of treatment modality is facilitated for glioblastoma patients.

Significance of systemic immune-inflammation index in the differential diagnosis of high- and low-grade gliomas

OBJECTIVE

Circulating biomarkers have been increasingly appreciated in the grading of gliomas. This study aimed to assess the value of the systemic immune-inflammation index (SII) as a possible marker in the grading of gliomas.

MATERIALS AND METHODS

In our study, 153 patients with gliomas were included-53 patients had histologically verified low grade gliomas (LGG) and 100 patients had high grade gliomas (HGG). Preoperative complete blood count (CBC) and clinicopathological data were collected. The optimal SII cut-off value for grading of gliomas was calculated by receiver operating characteristics curve (ROC) analysis.

RESULTS

Based on the ROC analysis, the most optimal cut-off value of SII to distinguish HGG and LGG was determined as 392.48×10⁹/L. For this cut-off value, SII had a sensitivity of 75%, specificity of 66%, and area under the curve (AUC) of 0.773. Furthermore, we found that patients in the high-SII group had a significantly higher Ki-67 index than that in patients in the low-SII group (P=0.002).

CONCLUSION

Our results demonstrate that SII has a moderate diagnostic accuracy for differentiating HGG from LGG. More studies are needed to confirm these results.

Influence of neutrophil-lymphocyte ratio in prognosis of glioblastoma multiforme

Neutrophil-lymphocyte ratio (NLR) is a hematological marker of systemic inflammation and several studies demonstrate an association between a higher NLR and a worse prognosis in many malignancies. However, literature analyzing its prognostic value in glioblastoma multiforme (GBM) is still scarce. We intended to analyze the correlation of NLR with overall survival and progression-free survival in patients with GBM performing a retrospective review of the patients with diagnosis of GBM submitted to a resection surgery in the department of neurosurgery of a tertiary care hospital, between January/2005 and January/2013. 140 patients were included. Mean age at surgery was 62.9 ± 10.0 years and mean age at death was 64.4 ± 9.8 years. Mean overall survival was 19.4 ± 14.3 months and mean progression-free survival was 9.4 ± 8.7 months. There was no correlation of NLR, platelets-lymphocyte ratio (PLR) or absolute counts of neutrophils, lymphocytes and platelets with overall survival in multivariate analysis. However, a preoperative NLR ≤ 5 correlated with a shorter progression-free survival [HR 1.56 (SD 95% 1.04-2.34); p = 0.032]. We performed a subgroup analysis of patients who completed Stupp protocol. In this subgroup of 117 patients, a preoperative NLR > 7 correlated with a shorter overall survival [HR 1.65 (SD 95% 1.07-2.53); p = 0.023]. The results from our total cohort didn't confirm the correlation between a higher NRL and worse survival in GBM. However, in the subgroup analysis of patients who completed Stupp protocol, a higher NLR was an independent prognostic factor to a shorter overall survival, similar to existent literature data about GBM.

Immunophenotypic signature of primary glioblastoma multiforme: A case of extended progression free survival

Glioblastoma-multiforme (GBM), the most aggressive glial tumor, has a worldwide age-adjusted incidence ranging from 0.59-3.69/100000 persons. Despite current multimodal-treatment approach, median-survival time and progression-free survival (PFS) remains short. Glioblastomas display a variety of molecular alterations, which necessitates determining which of these have a prognostic significance. This is a case of a 45-year-old patient who presented with progressive slurring of speech and features of raised intracranial pressure. Computed tomography (CT) scan revealed a large heterogeneously enhancing lesion in the left front-temporal-perisylvian region with solid, cystic areas, suggestive of malignant glioma. Partial tumor-excision was followed by concurrent chemo-radiotherapy. Histopathologically, the tumor was astrocytoma grade-IV. Patient had an extended PFS of 12 mo, with an overall survival of 26 mo. Primary-GBM was confirmed using molecular markers and the immunophenotypic signature was defined by evaluating systemic expression of human telomerase reverse transcriptase, interleukin-6, neutrophil-lymphocyte ratio, tissue inhibitor of metalloproteinases-1, human chitinase-3-like-protein-1 (YKL-40) and high mobility group-A1. Current findings suggest that this signature can identify worst outcomes, independent of clinical criteria.

Glioblastoma-synthesized G-CSF and GM-CSF contribute to growth and immunosuppression: Potential therapeutic benefit from dapsone, fenofibrate, and ribavirin

Increased ratio of circulating neutrophils to lymphocytes is a common finding in glioblastoma and other cancers. Data reviewed establish that any damage to brain tissue tends to cause an increase in G-CSF and/or GM-CSF (G(M)-CSF) synthesized by the brain. Glioblastoma cells themselves also synthesize G(M)-CSF. G(M)-CSF synthesized by brain due to damage by a growing tumor and by the tumor itself stimulates bone marrow to shift hematopoiesis toward granulocytic lineages away from lymphocytic lineages. This shift is immunosuppressive and generates the relative lymphopenia characteristic of glioblastoma. Any trauma to brain—be it blunt, sharp, ischemic, infectious, cytotoxic, tumor encroachment, or radiation—increases brain synthesis of G(M)-CSF. G(M)-CSF are growth and motility enhancing factors for glioblastomas. High levels of G(M)-CSF contribute to the characteristic neutrophilia and lymphopenia of glioblastoma. Hematopoietic bone marrow becomes entrained with, directed by, and contributes to glioblastoma pathology. The antibiotic dapsone, the lipid-lowering agent fenofibrate, and the antiviral drug ribavirin are Food and Drug Administration– and European Medicines Agency–approved medicines that have potential to lower synthesis or effects of G(M)-CSF and thus deprive a glioblastoma of some of the growth promoting contributions of bone marrow and G(M)-CSF.

Immunomethylomic approach to explore the blood neutrophil lymphocyte ratio (NLR) in glioma survival

Background

Differentially methylated regions (DMRs) within DNA isolated from whole blood can be used to estimate the proportions of circulating leukocyte subtypes. We use the term “immunomethylomics” to describe the application of these immune lineage DMRs to studying leukocyte profiles. Here, we applied this approach to peripheral blood DNA from 72 glioma patients with molecularly defined brain tumors, representing common patient groups with defined characteristic survival times and risk factors. We first estimated the proportions of leukocyte subtypes in samples using deconvolution algorithms with reference DMR libraries from isolated leukocyte populations and Illumina 450K DNA methylation data. Then, we calculated the neutrophil to lymphocyte ratio (NLR) using methylation-derived cell composition estimates (mdNLR). The NLR is considered an indicator of immunosuppressive cells in cancer patients.

Results

Elevated mdNLR scores were observed in glioma patients compared to mdNLR values of published controls. Significantly decreased survival times were associated with mdNLR ≥ 4.0 in Cox proportional hazards models adjusted for age, gender, tumor grade, and molecular subtype (HR 2.02, 95% CI, 1.11–3.69). We also identified five myeloid-related CpGs that were highly correlated with the mdNLR (adjusted R² ≥ 0.80). Each of the five myeloid CpG loci was associated with survival when adjusted for the above covariates and offer a simplified approach for utilizing fresh or archived peripheral blood samples for interrogating a very small number of methylation markers to estimate myeloid immune influences in glioma survival.

Conclusions

The mdNLR (based on DNA methylation) is a novel candidate methylation biomarker that represents immunosuppressive myeloid cells within the blood of glioma patients with potential application in clinical trials and future epidemiologic studies of glioma risk and survival.

Electronic supplementary material

The online version of this article (doi:10.1186/s13148-017-0316-8) contains supplementary material, which is available to authorized users.

Pediatric central nervous system tumors in the first 3 years of life: pre-operative mean platelet volume, neutrophil/lymphocyte count ratio, and white blood cell count correlate with the presence of a central nervous system tumor

PURPOSE

The aim of this study is to describe the relationship of pre-operative complete blood count parameters [mean platelet volume (MPV), neutrophil/lymphocyte count ratio (NLCR), and white blood cell count (WBC)], with the clinical, radiological, and histopathological features and the management options for patients under 3 years of age with a newly diagnosed central nervous system tumors.

METHODS

Children with central nervous system (CNS) tumors in the first 3 years of life admitted in the Erciyes University Hospital between April 2004 and April 2014 were enrolled in this study. The CBC parameters were compared with those of an age- and sex-matched normal control group.

RESULTS

In the study group, the means of MPV and WBC were 8.00 ± 1.24 fl, and 10,855 ± 3642/mm³ respectively; the median (25-75%) of NLCR was 0.98 (0.66-1.46). For the control group, the means of MPV and WBC were 6.8 ± 0.73 fl and 8565 ± 2522/mm³; the median (25-75%) of NLCR was 0.52 (0.36-0.70). The MPV, WBC, and NLCR were higher in the study group. The median overall survival (OS) of the patients was 60 months (range 0-81.6 months); and median event free survival (EFS) was 24 months (range 0-70.1 months). The formulation of MPV, NLCR, and WBC was found to be predictive for the diagnosis of CNS tumor in children with nonspecific symptoms. The univariate and multiple binary regression analyses showed a positive association of MPV, NLCR, and WBC and the risk of a diagnosis of CNS tumor. There was no relationship between MPV, WBC, NLCR, and histological subgroups. However, there were no associations between CBC parameters and OS or EFS of the patients.

CONCLUSIONS

By causing suspicion, MPV, NLCR, and WBC may provide both an earlier radiological investigation decision and thereby an early diagnosis of CNS tumor in children with nonspecific symptoms in the first 3 years of life.

The neutrophil lymphocyte ratio is associated with breast cancer prognosis: an updated systematic review and meta-analysis

Breast cancer (BC) is the most common female malignancy within the spectrum of human cancer. One promising way to reduce the mortality and morbidity of BC is to explore novel diagnostic markers for early diagnosis and prognostication. The neutrophil lymphocyte ratio (NLR) is a good reflection of inflammation, which plays an important role in tumor progression and metastasis. However, the association between NLR and BC prognosis remains unclear. The aim of this meta-analysis is to explore the prognostic value of NLR in BC. Among the screened references in the database, 12 eligible studies were identified in this study. Patients with a higher NLR had a shorter disease-free survival (hazard ratio =1.46, 95% confidence interval: 1.12-1.90, P=0.044) and overall survival (hazard ratio =2.03, 95% confidence interval: 1.41-2.93, P<0.001). In the subgroup analysis of NLR and disease-free survival, the studies from Eastern countries had a positive result with perfect homogeneity (I (2)=0); however, this homogeneity has not been achieved in studies from Western countries. In the subgroup analysis of the NLR and overall survival, the results of the univariate and multivariate analyses were completely different, with different heterogeneity. In the luminal A and luminal B subtypes, we found that there was no association between the NLR and overall survival in the BC patients. Positive results were obtained in the analyses of the human epidermal growth factor receptor 2 (HER2)-positive and triple-negative BC subtypes. In conclusion, this meta-analysis suggests that NLR is a good prognostic marker for BC, and patients with a higher NLR have poorer prognoses. Future studies should perform more detailed investigations to decrease heterogeneity and determine the appropriate cut-off values for different races.

Evaluation of simple blood counts as inflammation markers for brain tumor patients

AIMS

Hemogram parameters in routine blood panels have been proposed as inflammation markers. These parameters, especially the red cell distribution width (RDW) and mean platelet volume (MPV), were evaluated as surrogate inflammatory markers in brain tumor patients. We aimed to observe RDW and MPV values of tumor patients and compare to those in healthy population.

METHODS

We recorded white blood cell count, neutrophil count, lymphocyte count, hemoglobin, hematocrit, RDW, platelet count, and MPV of the study group at the time of diagnosis and compared to those of the control subjects.

RESULTS

The RDW was significantly elevated in study group compared to that of the control subjects (p=0.001). The MPV was significantly lower in study group than that of the control group (p=0.01).

CONCLUSION

Decreased MPV and increased RDW were both associated with brain tumor. However, prospective studies with larger sample sizes are needed to support the results and expose MPV and RDW variations between metastatic and primary brain tumors.