Dataset Information

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

ABSTRACT:

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.

SUBMITTER: Dharmajaya R

PROVIDER: S-EPMC7890138 | biostudies-literature | 2021 Mar

REPOSITORIES: biostudies-literature

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Publications

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

Dharmajaya Ridha R Sari Dina Keumala DK

Annals of medicine and surgery (2012) 20210202

<h4>Introduction</h4>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.<h4>Methods</h4>This study is a case controlled analytical study that analyzes the relationship between levels of inflammatory markers with the typ ...[more]

PMID: 33659053

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Project description:BackgroundCNS 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.MethodsWe 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.ResultsThere 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.ConclusionsNLR 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.

Project description:BackgroundEarly diagnosis of anastomotic leakage (AL) after esophageal resection is crucial for the successful management of this complication. Inflammatory serological markers are indicators of complications during the postoperative course. The aim of the present study was to evaluate the prognostic value of routine inflammatory markers to predict anastomotic leakage after transthoracic esophageal resection.MethodsData from all consecutive patients undergoing transthoracic esophageal resection between January 2010 and December 2016 were analyzed from a prospective database. Besides clinicodemographic parameters, C-reactive protein, white blood cell count and albumin were analyzed and the Noble/Underwood (NUn) score was calculated to evaluate their predictive value for postoperative anastomotic leakage. Diagnostic accuracy was measured by sensitivity, specificity, and negative and positive predictive values using area under the receiver operator characteristics curve.ResultsOverall, 233 patients with transthoracic esophageal resection were analyzed, 30-day mortality in this group was 3.4%. 57 patients (24.5%) suffered from AL, 176 patients were in the AL negative group. We found significant differences in WBCC, CRP and NUn scores between patients with and without AL, but the analyzed markers did not show an independent relevant prognostic value. For CRP levels below 155 mg/dl from POD3 to POD 7 the negative predictive value for absence of AI was > 80%. Highest diagnostic accuracy was detected for CRP levels on 4th POD with a cut-off value of 145 mg/l reaching negative predictive value of 87%.ConclusionsIn contrast to their prognostic value in other surgical procedures, CRP, WBCC and NUn score cannot be recommended as independent markers for the prediction of anastomotic leakage after transthoracic esophageal resection. CRP is an accurate negative predictive marker and discrimination of AL and no-AL may be helpful for postoperative clinical management. Trial registration The study was approved by the local ethical committee (S635-2013).

Dataset Information

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

Introduction

Methods

Results

Discussion

Conclusion

Publications

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

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