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A novel imaging biomarker for detecting treatment response in high-grade glioma

Lead Research Organisation: University of Cambridge
Department Name: CRUK Cambridge Research Institute

Abstract

The most common brain cancer, glioblastoma, has an extremely poor prognosis, with a median life expectancy of 15 months from diagnosis. This poor prognosis reflects the aggressive nature of this cancer and also the variable way in which it behaves following treatment. Patients can show markedly different responses to the same treatment. New treatments need to be developed and introduced into the clinic quickly. The development of these new treatments would benefit from the introduction of imaging methods that allow an earlier assessment of treatment response, which would allow clinicians to better and more quickly select the most effective treatment. Current imaging techniques only allow us to assess the size of a tumour, however, this is not ideal as it may take several weeks or even months for a tumour to decrease in size following an effective treatment. In some cases a tumour may even increase in size despite a positive response to the treatment. Tumour metabolism can show an earlier change following treatment than tumour size. However, the most widely used metabolic imaging technique in the clinic, PET measurements of the uptake of a radioactive glucose analog, are ineffective in brain tumours because of the high uptake in the normal brain tissue surrounding the tumour.

The aim of this research project is to develop a new imaging method that uses a non-radioactive tracer, known as deuterium, which can be imaged with MRI. With this method deuterium-labelled glucose is used and its conversion to another metabolite, lactate, is measured, which does not accumulate in normal brain. We will test this imaging technique in rat models of the disease, which are created by implanting patient's tumour cells into their brains. We will use this new imaging technique to monitor the growth of these tumours and then their response to the current standard-of-care treatment, as well as a new treatment.

Potential applications and benefits
If successful, this research could be beneficial for patients and clinicians.
1. Patients will benefit from earlier diagnosis and detection of their cancer's response to treatment. We hope this will lead to a reduction in morbidity and mortality and an increase in survival.
2. Clinicians will benefit from detection of early response to treatment allowing for timely selection of the most appropriate treatment regime. This has associated cost benefits for the healthcare system and welfare benefits for the patients.
3. Pharmaceutical companies will be able to better assess the efficacy of their new drugs. The current estimated figure for developing a new medicine and bringing it to market is $500 million. This imaging modality may allow a more streamlined drug development process, which could bring down the cost of drugs for the healthcare system.

Technical Summary

Aim
Detecting changes in tumour metabolism can give an earlier indication of treatment response when compared to conventional imaging. This project will explore deuterium magnetic resonance spectroscopic imaging (MRSI) as a novel, non-invasive imaging modality to detect and quantify treatment response in glioblastoma multiforme (GBM).

Objectives
1. We will investigate the potential of dynamic 2H MRSI for measuring tumour glycolytic and oxidative fluxes following administration of [6,6'-2H2] glucose to rats with orthotopically implanted xenografts derived from GBM patients.
2. We will use dynamic 2H MRSI measurements of glycolytic and oxidative fluxes to detect response to conventional chemoradiotherapy, as well as treatment with a novel blood brain barrier penetrating phosphatidylinositol 3-kinase (PI3K) inhibitor.

Methodology
GBM cells taken from patients will be cultured then implanted intracranially into athymic rats and tumour growth will be monitored using 1H MRI. [6,6'-2H2] glucose will be administered and dynamic 2H MRSI used to measure the time-dependent levels of 2H-labelled glucose, lactate, and glutamate/glutamine. Measurements will be made before and after treatment. Mass spectrometric imaging, histopathology and immunohistochemistry will provide gold-standard comparators for treatment response.

Scientific opportunities
Professor Brindle is a world leader in the field of metabolic imaging in cancer and has a multidisciplinary team with a wealth of experience in translational research. The CRUK Cambridge Institute has excellent facilities for histopathology, flow cytometry, genomics, microscopy, transgenic rodent and specialised imaging facilities. Prof. Brindle has an excellent track record of supervising clinical research fellows.

Medical opportunities
Honorary contracts at Addenbrooke's Hospital will be arranged to attend neuro-oncology multi-disciplinary meetings and outpatient clinics.
 
Description Educational Stipend
Amount $575 (USD)
Organisation International Society for Magnetic Resonance in Medicine (ISMRM) 
Sector Charity/Non Profit
Country United States
Start 05/2023 
End 06/2023
 
Description Educational Stipend
Amount $725 (USD)
Organisation International Society for Magnetic Resonance in Medicine (ISMRM) 
Sector Charity/Non Profit
Country United States
Start 04/2024 
End 05/2024
 
Title Research data supporting "Deuterium magnetic resonance imaging of serine metabolism in mouse models of glioblastoma" 
Description Zip folder with 7 Excel files containing the raw measurements of Figure 2_C_D_raw (2C-D Deuterated serine, formate, 5,10-methylene-THF, glycine and water concentrations in medium from (C) A11 and (D) S2 cells. DMSO-d6 was used as a concentration standard.), Figure 3_raw (SHMT1,2 and MTHFD1/2 expression in A11 and S2 tumor extracts were assessed by quantitative real-time PCR. For normalization, Ct values of beta-actin were subtracted from Ct values of SHMT1,2 and MTHFD1/2.), Figure 4_raw (2H NMR measurements of [2H]formate (A), HDO (B), [2H]glycine (C), [14,14-2H2] 5,10-methylene tetrahydrofolate (D) and [2,3,3-2H2]serine (E) concentrations in S2 cell culture medium 5 h after the addition of 5 mM [2,3,3-2H3]serine and in the presence and absence (untreated) of SHMT and MTHDF2 inhibitors. Pearson correlation analysis of HDO and formate concentrations (F). Two-tailed, Pearson p and r values are shown), Figure 5_raw (Representative 2H MR spectra of labelled serine and water in A11 (A-C) and S2 (G-I) tumors before, and 20 and 60 min post- [2,3,3-2H3]serine injection. The HDO and serine peaks were fitted individually using prior knowledge, as described in Materials and Methods. Spectroscopic measurements of HDO concentrations in A11 and S2 tumors and in the brains of non-tumor-bearing controls following [2,3,3-2H3]serine injection (1 g/kg) (M). Rate of labeled water production in the brains of non-tumor-bearing control mice and in A11 and S2 tumors (N). [2,3,3-2H3] serine concentrations in A11 and S2 tumors and in the brains of non-tumor-bearing controls following [2,3,3-2H3]serine injection (1 g/kg) (O).), Figure 6C_raw (Concentrations of [2,3,3-2H3]serine, [2H]formate and [14,14-2H2] 5,10-methylene-THF from 2H NMR spectra of A11 and S2 tumor extracts were determined by fitting their resonances to Lorenztian lineshapes and taking the integrals.). Supplementary_Figure_1_raw (1B Protein expression levels of TOMM20 were evaluated in S2 and A11 tumors by western blot and band intensities relative to GAPDH determined by densitometry.), Supplementary_Figure_2_raw (Expression of amino acid transporter genes in A11 and S2 cells determined by RNA sequencing.) 
Type Of Material Database/Collection of data 
Year Produced 2024 
Provided To Others? Yes  
URL https://www.repository.cam.ac.uk/handle/1810/369952
 
Title Research data supporting "Deuterium metabolic imaging differentiates glioblastoma metabolic subtypes and detects their early response to chemoradiotherapy" 
Description This dataset contains the raw data for the project "Deuterium metabolic imaging differentiates glioblastoma metabolic subtypes and detects their early response to chemoradiotherapy". The data was collected from in vitro studies including 2H and 13C NMR and seahorse experiments. The in vivo imaging studies, including MR spectroscopy, were performed using a 7T or a 9.4T preclinical MRI scanner. Data from the NMR experiments were analysed using the publicly available Topspin software and data from the seahorse experiments were analysed using the Seahorse analytics software from Agilent and the raw data generated is presented here. The in vivo imaging data was analysed using the AMARES toolbox in Matlab and the raw data is presented here. Histology analysis was performed using the software HALO. 
Type Of Material Database/Collection of data 
Year Produced 2024 
Provided To Others? Yes  
URL https://www.repository.cam.ac.uk/handle/1810/366193