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CgA and NSE are clinically valuable tumor markers in neuroblastoma and they merit prospective clinical evaluations as such.
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the major result was that elevated serum NSE appears to correlate with prognosis in advanced prostate cancer (PCa), particularly in patients with progressive and metastatic castration-resistant PCa. Based on the existing literature, the role of serum NSE in PCa patients should be further evaluated.
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Identify a possible cross-reactive conformational B cell epitope, shared by Borrelia enolase and gamma enolase, but not by alpha enolase. We hypothesize that this autoantibody interferes with glycolysis in neuronal cells, as the physiological basis for chronic symptoms in at least some cases of post-treatment Lyme disease syndrome.
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We investigated the possible correlation between TCD results and S100B, NSE and LDH levels as well as between NSE-LDH and S100B-LDH levels by regression analysis. We found a statistically significant relationship for both NSE, S100B with LDH.
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ENO2 promoted cell growth, glycolysis, and glucocorticoid resistance, all of which were effectively inhibited when ENO2 was silenced with shRNAs and up-regulated various glycolysis-related genes and enhanced Akt activity with subsequent glycogen synthase kinase3beta (GSK-3beta) phosphorylation, inducing cell proliferation and glycolysis.
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High Neuron-Specific Enolase expression is associated with poor response to therapy in small cell lung cancer.
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In neonates, NSE and s100B levels increase after bypass surgery and return below preoperative baseline levels by postoperative day seven.
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elevated preoperative NSE serum level is adverse predictive and prognostic indicator in adenosquamous lung carcinoma
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There is a significant correlation between mortality in the critically ill patients in the intensive care unit and increased serum concentration of S100B and NSE.
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The detection of TK1 combined with that of cytokeratin-19 fragment (CYFRA21-1), CEA or NSE increased the diagnostic value of TK1 for lung squamous cell carcinoma, adenocarcinoma and small cell lung cancer, respectively.
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Serum levels of neuron-specific enolase (and S100B) are both significantly increased postoperatively and predict postoperative cognitive dysfunction.
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This study indicates that serum neuron-specific enolase is elevated in diabetic ketoacidosis and correlated with the severity of hyperglycemia, ketosis, and acidosis.
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serum level elevated in small cell lung cancer patients with shorter progression-free survival
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Levels of NSE and S100B are still elevated 1 year postpartum in women who have had preeclampsia in contrast to women with previous normal pregnancies.
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High NSE expression is associated with hypoxic-ischemic encephalopathy.
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we conducted a retrospective study to evaluate the correlation between clinical-pathological parameters, serum levels of neuron-specific enolase and CYFRA21-1, and bone metastases in lung cancer patients.Multivariate logistic regression analysis showed that patients' age concentrations of neuron-specific enolase and histopathological types were the independent risk factors for bone metastases in patients with lung cancer
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Suggest that NSE may be a practical parameter that can be used to monitor TB activity and treatment response. Elevated serum NSE level originates, at least in part, from macrophages in granulomatous lesions.
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HER2 and NSE serum levels were independent prognostic factors in patients with brain metastases in breast cancer. Serum HER2 and MMP-9 appear to be associated with BM in metastatic BC patients. Their predictive value for BM still needs to be evaluated in further prospective studies.
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this study shows that neuron-specific enolase level is both a predictive marker of epidermal growth factor receptor (EGFR) tyrosine kinase inhibitors treatment and a prognostic marker in non-small cell lung cancer harboring EGFR mutations patients
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The study aimed to identify a small set of genetic signatures that may reliably predict the individuals with a high genetic propensity to heroin addiction. A set of 4 genes (JUN, CEBPB, PRKCB, ENO2, or CEBPG) could predict the diagnosis of heroin addiction with the accuracy rate around 85% in our dataset.
