ABSTRACT
Some studies suggested the prognosis value of immune gene in lower grade glioma (LGG). Recurrence in LGG is a tough clinical problem for many LGG patients. Therefore, prognosis biomarker is required. Multivariate prognosis Cox model was constructed and then calculated the risk score. And differential expressed transcription factors (TFs) and differential expressed immune genes (DEIGs) were co-analysed. Besides, significant immune cells/pathways were identified by single sample gene set enrichment analysis (ssGSEA). Moreover, gene set variation analysis (GSVA) and univariate Cox regression were applied to filter prognostic signalling pathways. Additionally, significant DEIG and immune cells/pathways, and significant DEIG and pathways were co-analysed. Further, differential enriched pathways were identified by GSEA. In sum, a scientific hypothesis for recurrence LGG including TF, immune gene and immune cell/pathway was established. In our study, a total of 536 primary LGG samples, 2,498 immune genes and 318 TFs were acquired. Based on edgeR method, 2,164 DEGs, 2,498 DEIGs and 31 differentials expressed TFs were identified. A total of 106 DEIGs were integrated into multivariate prognostic model. Additionally, the AUC of the ROC curve was 0.860, and P value of Kaplan-Meier curve < 0.001. GATA6 (TF) and COL3A1 (DEIG) were selected (R = 0.900, P < 0.001, positive) as significant TF-immune gene links. Type II IFN response (P < 0.001) was the significant immune pathway. Propanoate metabolism (P < 0.001) was the significant KEGG pathway. We proposed that COL3A1 was positively regulated by GATA6, and by effecting type II IFN response and propanoate metabolism, COL3A1 involved in LGG recurrence.
Subject(s)
Brain Neoplasms/metabolism , Collagen Type III/physiology , GATA6 Transcription Factor/physiology , Gene Expression Regulation, Neoplastic , Glioma/metabolism , Interferon alpha-2/biosynthesis , Neoplasm Proteins/physiology , Neoplasm Recurrence, Local/metabolism , Propionates/metabolism , Adolescent , Adult , Aged , Aged, 80 and over , Brain Neoplasms/genetics , Brain Neoplasms/immunology , Brain Neoplasms/pathology , Female , Gene Regulatory Networks , Glioma/genetics , Glioma/immunology , Glioma/pathology , Humans , Interferon alpha-2/genetics , Male , Metabolic Networks and Pathways/genetics , Metabolic Networks and Pathways/immunology , Middle Aged , Neoplasm Grading , Neoplasm Proteins/biosynthesis , Neoplasm Proteins/genetics , Neoplasm Recurrence, Local/pathology , Prognosis , Proportional Hazards Models , Risk , Young AdultABSTRACT
Real-time monitoring of glycoengineered Pichia pastoris by employing process analytical technology (PAT) tools is vital for gaining deeper insights into the therapeutic protein production process. The present study focuses on influence of mixed feed carbon substrates during the induction phases of glycoengineered P. pastoris cultivation, for recombinant human interferon α2b (huIFNα2b) production by employing calorimetric (biological heat rate, q B ) and respirometric (oxygen uptake rate and carbon dioxide evolution rate) measurements. Mixed feed stream of carbon substrates (methanol + glycerol, methanol + sorbitol) at a predetermined "C-molar ratios" were added during the induction phases. Methanol- and sorbitol-based mixed feeding approach resulted in an improved huIFNα2b titer of 288 mg/L by channeling of methanol predominantly towards an optimal functioning of AOX expression system. A stand-off between biomass yield YXSand biomass heat yieldYQX coefficient, degree of reduction of methanol and its cosubstrate (glycerol and sorbitol) determines the fraction of carbon energy channeled toward biomass and protein production, under strict aerobic conditions. Calorespirometric monitoring and assessment of thermal yields enables a reliable prediction of process variables, leading to futuristic efficient PAT-based feed rate control.
