Higher Plasma Fibrinogen Levels are Associated with Malignant Phenotype and Worse Survival in Patients with Glioblastomas.

Preoperative plasma fibrinogen levels were associated with poor clinical outcomes in malignancies. There were few data about the prognostic value of plasma fibrinogen in glioblastomas (GBMs). The objective of our study was to investigate the association between fibrinogen and patients' clinicopathological factors and overall survival (OS). From 2008 to 2016, 315 patients with GBMs who had a surgical treatment at our institute, were retrospectively involved in this study. IDH (isocitrate dehydrogenase) mutations and ATRX (alpha thalassemia/mental retardation syndrome X-linked) loss were detected with IHC (Immunohistochemistry). The preoperative plasma fibrinogen levels ranged from 1.00 to 5.22 g/L, with a mean of were 2.57 g/L. There were increased levels of plasma fibrinogen in patients aged ≥ 65 years, secondary GBMs, IDH mutation (p = 0.033) and ATRX loss (p = 0.040). Moreover, the plasma fibrinogen level was the highest in the subtype of IDH-1R132H wildtype - ATRX expression, which showed a shorter OS compared to the group of IDH-1R132H mut and IDH-1R132H wildtype - ATRX loss (p = 0.001, log-rank test). ROC curves for fibrinogen and IDH-1R132H wildtype - ATRX expression was also plotted, and indicated a potential diagnostic value of fibrinogen in molecular pathology. Univariate analysis found that younger age, higher KPS (Karnofsky Performance Score), gross total resection, complete chemoradiotherapy, IDH-1R132H mutations and lower levels of fibrinogen were associated with favorable outcomes. Multivariate analysis proved that chemoradiotherapy, IDH-1R132H and fibrinogen were independent prognostic factors. In conclusion, plasma fibrinogen could predict clinical outcome and molecular subtype in GBMs.

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.

[The clinical significance of a new classification algorithm in Chinese DLBCL cases].

OBJECTIVE: To investigate the clinicopathologic features, pathogenesis, diagnostic criteria and the relationship between different classification models and prognosis in Chinese patients with DLBCL, and try to look for the most appropriate classification model to predict clinical prognosis and therapeutic responses for Chinese patients with DLBCL. METHODS: 181 cases of Chinese DLBCLs diagnosed according to the WHO 2008 classification were collected. Standard two-step Envision method of immunohistochemical staining was used to assess the expressions of CD20, CD3ε, CD79a, CD10, Mum-1, Bcl-6, GCET-1, FOXP1 and Ki-67. The phenotypic classifications were assessed according to the standard of Hans model and Chan model. Data were analyzed by χ(2) test and Life Table survival analysis with the SPSS14.0 statistical package. RESULTS: The ratio of male to female in this cohort was 1.26:1. The median age of all patients was 57 yrs with the average age of 53.5 yrs. Of 61 cases (33.7%) primarily showed lymph node involvement. Gastrointestinal tract as the most involved extra-nodal organ was observed in 43 cases (35.8%). All patients with complete clinical follow-up materials survived from 1 - 120 months. The patients showed a high risk for death in the initial one and half years. Three year survival rate was 49.7% (90/181). Three year survival of 44 cases received R-CHOP (Rituximab, cyclophosphamide, doxorubicin, vincristine, bolus) was 76.9% (20/26), whereas 61.9% (60/97) in 119 cases received CHOP alone, R-CHOP group showed better prognosis (P = 0.017). All cases expressed one or more pan B cell markers, such as CD20 (176/179, 98.3%) and CD79a (62/77, 80.5%). For Hans model, 78 cases were classified as GCB group, while 103 cases as Non-GCB group. The ratio of Non-GCB to GCB was 1.32 without difference on the survival (P > 0.05). For the Chan's algorithm, 68 cases belonged to GCB subgroup, while 113 cases non-GCB subgroup. The ratio of non-GCB to GCB was 1.66. GCB subtype showed much better prognosis than non-GCB subtype according to Life Table survival analysis (P < 0.05). CONCLUSION: The epidemiology and clinicopathologic features of Chinese DLBCLs were similarly with the western cases. Chan's algorithm was a significant tool to predict the cell origin and clinical biology of Chinese DLBCLs.