Insulin-like growth factor binding protein-2 and glucose-regulated protein 78 kDa: Potential biomarkers affect prognosis in IDH-wildtype glioblastoma patients.

BACKGROUND: The overall survival of IDH-wildtype glioblastoma patients is poor despite best available treatments. There is an urgent need for new biomarkers to inform more precise disease stratification. Previous studies have identified insulin-like growth factor binding protein-2 (IGFBP-2) as a potential biomarker for glioblastoma diagnosis and therapeutic targeting. Other studies have indicated links between the insulin-like growth factor (IGF) axis and tumorigenic functions of a molecular chaperone glucose related protein of 78 kDa (GRP78). We aimed to interrogate the oncogenic effects of IGFBP-2 and GRP78 in our glioma stem cell (GSC) lines and clinical cohort. METHODS: Immunoblotting, reverse transcription quantitative real-time PCR were used to quantify protein and mRNA levels derived from GSCs and non-malignant neural stem cells (NSCs). Microarray analysis was used to compare the differences in IGFBP-2 (IGFBP-2) and GRP78 (HSPA5) transcript expression between NSCs, GSCs and adult human cortex samples. Immunohistochemistry was used to quantify IGFBP-2 and GRP78 expression in IDH-wildtype glioblastoma tissue sections (n = 92) and clinical implications assessed using survival analysis. Finally, the relationship between IGFBP-2 and GRP78 was further explored molecularly using coimmunoprecipitation. RESULTS: Here, we demonstrate that IGFBP-2 and HSPA5 mRNA is overexpressed in GSCs and NSCs in comparison to non-malignant brain tissue. We also determined a relationship in which G144 and G26 GSCs expressed higher IGFBP-2 protein and mRNA than GRP78, and this was reversed in mRNA isolated from adult human cortex samples. Clinical cohort analysis revealed that Glioblastomas with high IGFBP-2 protein expression paired with low GRP78 protein expression were significantly associated with a much shorter survival time (Median = 4 months, p = 0.019) compared with 12-14 months for any other combination of high/low protein expression. CONCLUSIONS: Inverse levels of IGFBP-2 and GRP78 may be adverse clinical prognostic markers in IDH-wildtype glioblastoma. Further interrogation of the mechanistic link between IGFBP-2 and GRP78 may be important for rationalisation of their potential as biomarkers and therapeutic targets.

Liquid biopsies for early diagnosis of brain tumours: in silico mathematical biomarker modelling.

Brain tumours are the biggest cancer killer in those under 40 and reduce life expectancy more than any other cancer. Blood-based liquid biopsies may aid early diagnosis, prediction and prognosis for brain tumours. It remains unclear whether known blood-based biomarkers, such as glial fibrillary acidic protein (GFAP), have the required sensitivity and selectivity. We have developed a novel in silico model which can be used to assess and compare blood-based liquid biopsies. We focused on GFAP, a putative biomarker for astrocytic tumours and glioblastoma multi-formes (GBMs). In silico modelling was paired with experimental measurement of cell GFAP concentrations and used to predict the tumour volumes and identify key parameters which limit detection. The average GBM volumes of 449 patients at Leeds Teaching Hospitals NHS Trust were also measured and used as a benchmark. Our model predicts that the currently proposed GFAP threshold of 0.12 ng ml-1 may not be suitable for early detection of GBMs, but that lower thresholds may be used. We found that the levels of GFAP in the blood are related to tumour characteristics, such as vasculature damage and rate of necrosis, which are biological markers of tumour aggressiveness. We also demonstrate how these models could be used to provide clinical insight.

Glioma Stem-Like Cells and Metabolism: Potential for Novel Therapeutic Strategies.

Glioma stem-like cells (GSCs) were first described as a population which may in part be resistant to traditional chemotherapeutic therapies and responsible for tumour regrowth. Knowledge of the underlying metabolic complexity governing GSC growth and function may point to potential differences between GSCs and the tumour bulk which could be harnessed clinically. There is an increasing interest in the direct/indirect targeting or reprogramming of GSC metabolism as a potential novel therapeutic approach in the adjuvant or recurrent setting to help overcome resistance which may be mediated by GSCs. In this review we will discuss stem-like models, interaction between metabolism and GSCs, and potential current and future strategies for overcoming GSC resistance.

The de novo design of a biocompatible and functional integral membrane protein using minimal sequence complexity.

The de novo design of integral membrane proteins remains a major challenge in protein chemistry. Here, we describe the bottom-up design of a genetically-encoded synthetic membrane protein comprising only four amino acids (L, S, G and W) in the transmembrane domains. This artificial sequence, which we call REAMP for recombinantly expressed artificial membrane protein, is a single chain of 133 residues arranged into four antiparallel membrane-spanning α-helices. REAMP was overexpressed in Escherichia coli and localized to the cytoplasmic membrane with the intended transmembrane topology. Recombinant REAMP could be extracted from the cell membrane in detergent micelles and was robust and stable in vitro, containing helical secondary structure consistent with the original design. Engineered mono- and bis-histidine residues in the membrane domain of REAMP were able to coordinate heme in vitro, in a manner reminiscent of natural b-type cytochromes. This binding shifted the electrochemical potential of the cofactor, producing a synthetic hemoprotein capable of nascent redox catalysis. These results show that a highly reduced set of amino acids is sufficient to mimic some key properties of natural proteins, and that cellular biosynthesis is a viable route for the production of minimal de novo membrane sequences.