Systemic inflammatory biomarkers in primary central nervous system lymphoma versus high-grade glioma: exploratory, comparative and correlative analysis

Abstract

Aim: To assess systemic inflammatory biomarkers in non invasive differential diagnosis of primary central nervous system lymphoma (PCNSL) from high-grade glioma (HGG). Materials & methods: Patients with similar morphology (PCNSL or HGG) on conventional neuro-imaging were included. Systemic inflammatory indices were calculated from pretreatment complete blood counts and liver function tests and compared against histopathology as reference standard. Results: Mean values of absolute lymphocyte count and prognostic nutritional index were significantly different between PCNSL (n = 42) versus HGG (n = 16). Area under receiver operating characteristics curve for absolute lymphocyte count and prognostic nutritional index in the diagnosis of PCNSL was 0.70 and 0.72 respectively suggesting fair and acceptable diagnostic accuracy. Conclusion: Systemic inflammatory biomarkers complement established clinico-radiological features and aid in the differential diagnosis of PCNSL from HGG.

C-reactive protein levels, the prognostic nutritional index, and the lactate dehydrogenase-to-lymphocyte ratio are important prognostic factors in primary central nervous system lymphoma: a single-center study of 223 patients

“…Therefore, it is reasonable that PNI might have considerable prognostic value in PCNSL patients. Tejpal et al [ 34 ] found that the mean PNI significantly differed between patients with PCNSL ( n = 42) and high-grade glioma ( n = 16). A retrospective PCNSL study reported an association between the PNI and OS in the univariate analysis ( p = 0.004) but not the multivariate analysis [ 21 ].…”

C-reactive protein levels, the prognostic nutritional index, and the lactate dehydrogenase-to-lymphocyte ratio are important prognostic factors in primary central nervous system lymphoma: A single-center study of 223 patients

“…However, it has been gradually adopted as an prognostic indicator in multiple malignancies, including gynecological tumors and lung cancer, and it is increasingly being used to predict prognosis in other non-tumor diseases, including fractures, heart failure, and brain infarction [24]. Tejpal et al [25] found that the mean PNI signi cantly differed between patients with PCNSL (n = 42) and high-grade glioma (n = 16). A retrospective PCNSL study reported an association between the PNI and OS in the univariate analysis (p = 0.004) but not the multivariate analysis [16].…”