2019
DOI: 10.2147/ott.s222432
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<p>Biomarkers Reflecting The Destruction Of The Blood-Brain Barrier Are Valuable In Predicting The Risk Of Lymphomas With Central Nervous System Involvement</p>

Abstract: ObjectiveWe aimed to identify the biomarkers in cerebrospinal fluid (CSF) that facilitate the diagnosis of lymphomas with central nervous system (CNS) involvement.MethodsFour cases of non-Hodgkin’s lymphoma (NHL) patients with/without CNS involvement were enrolled respectively, and non-CNS tumor patients (n=3) were selected to be the controls. Lab biomarkers, cytokines, and tight junction proteins (TJs) in CSF and serum were measured.ResultsWhen comparing the CNS to non-CNS group, cytokine including MMP-9 (15.… Show more

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Cited by 3 publications
(2 citation statements)
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“…Moreover, the initial observation that the expression level of the adhesion molecules by the malignant lymphoma cells can predict disease outcome in extranodal DLBCL [ 128 ] prompted further investigation, especially in peculiar clinical disease phenotypes, such as DLBCLs involving the central nervous system (CNS) [ 128 ]. Remarkably, CNS spreading represents a paradigmatic extranodal localization with peculiar pathobiology involving adhesion molecule deregulated expression [ 129 ] and hyperactivation of the angiogenesis fueling pathway [ 130 ] along with a truncal genomic signature [ 131 ], which can contribute to drug sensitivity and resistance [ 132 , 133 , 134 ], as in other malignancies [ 135 , 136 , 137 ]. Therefore, given that the aberrant expression of adhesion molecules on bone marrow endothelial cells of patients with lymphoid and myeloid neoplasia was also discovered to predict poor clinical outcome [ 138 , 139 , 140 , 141 ], it is tempting to speculate a vicious cycle in DLBCL by paralleling the neoplastic cell behavior [ 128 ], whereby the described molecular signature [ 36 , 142 ] has more interactions among themselves than what would be expected for a random set of gene-encoding proteins drawn from the genome [ 143 ].…”
Section: Discussionmentioning
confidence: 99%
“…Moreover, the initial observation that the expression level of the adhesion molecules by the malignant lymphoma cells can predict disease outcome in extranodal DLBCL [ 128 ] prompted further investigation, especially in peculiar clinical disease phenotypes, such as DLBCLs involving the central nervous system (CNS) [ 128 ]. Remarkably, CNS spreading represents a paradigmatic extranodal localization with peculiar pathobiology involving adhesion molecule deregulated expression [ 129 ] and hyperactivation of the angiogenesis fueling pathway [ 130 ] along with a truncal genomic signature [ 131 ], which can contribute to drug sensitivity and resistance [ 132 , 133 , 134 ], as in other malignancies [ 135 , 136 , 137 ]. Therefore, given that the aberrant expression of adhesion molecules on bone marrow endothelial cells of patients with lymphoid and myeloid neoplasia was also discovered to predict poor clinical outcome [ 138 , 139 , 140 , 141 ], it is tempting to speculate a vicious cycle in DLBCL by paralleling the neoplastic cell behavior [ 128 ], whereby the described molecular signature [ 36 , 142 ] has more interactions among themselves than what would be expected for a random set of gene-encoding proteins drawn from the genome [ 143 ].…”
Section: Discussionmentioning
confidence: 99%
“…Remarkably, CNS spreading represents a paradigmatic extranodal localization with peculiar pathobiology involving adhesion-molecule deregulated expression [129], hyperactivation of angiogenesis fueling pathway [130] along with truncal genomic signature [131] that can contribute to drug sensitivity and resistance [132][133][134], as in other malignancies [135][136][137]. Therefore, given that the aberrant expression of adhesion molecules also on bone marrow endothelial cells of patients with lymphoid and myeloid neoplasia has been discovered to predict poor clinical outcome [138][139][140][141], it is tempting to speculate a vicious cycle in DLBCL by paralleling the neoplastic cells behavior [128] and that the described molecular signature [36,142] have more interactions among themselves than what would be expected for a random set of gene encoding proteins drawn from the genome [143].…”
Section: Discussionmentioning
confidence: 99%