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Metformin's Effect on Glioblastoma Hypoxia: Insights from qBOLD MRI Analysis

Time to read: 05:08
Time to listen: 11:02
 
Published on MedED:12 February 2025
Originally Published: 2 December 2024

Source: European Radiology Experimental 
Type of article: In Brief
MedED Catalogue Reference: MRDIB001
Category: Radiology & Imaging
Cross Reference: Oncology, Neurology

Keywords: qBOLD imaging, glioma, metformin, oncology, neurology, hypoxia
Key Takeaway

Overall, qBOLD imaging offers insights into glioma oxygen metabolism, with metformin showing promise in modulating hypoxia progression. 

Specifically:
1. qBOLD effectively assesses hypoxia and its dynamic evolution in glioblastoma.
2. qBOLD parameters assist in identifying a suitable patient demographic for metformin treatment.

 

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This article is a review of recent studies originally published in the European Radiology Experimental, 2 December 2024This article does not represent the original research, nor is it intended to replace the original research. Access the full Disclaimer Information.



 
 
Glioblastoma (GB) is the most common and aggressive primary brain tumour in adults, comprising 15% of all brain tumours. Despite standard treatments, prognosis remains poor, with a median survival under two years. One of the key challenges in GB treatment is the tumour's highly hypoxic microenvironment, driven by high oxygen consumption and dysfunctional neovascularization. This hypoxia promotes tumour growth, invasion, and resistance to therapy, making it a critical target for new treatments. However, assessing hypoxia in vivo remains difficult due to the limitations of invasive and radiative techniques.
 
A promising alternative is quantitative blood oxygenation level-dependent (qBOLD) MRI, which evaluates magnetic susceptibility changes linked to deoxygenated hemoglobin. qBOLD has been used in both preclinical and clinical studies to assess GB oxygenation and therapeutic response, but its accuracy remains debated. Its ability to measure dynamic oxygen metabolism in gliomas is still unexplored.
 
Metformin has shown potential anticancer effects in GB and possibly exerts its effects through the down-regulation of hypoxia-inducible factor-1α (HIF-1α) and modulation of mitochondrial biogenesis. Although the exact mechanism remains debated, several studies suggest that metformin may influence tumour metabolism and hypoxia.



Study Purpose

This study aims to validate the qBOLD technique’s accuracy in assessing tumour hypoxia in a malignant glioma-bearing rat model, correlating its findings with pathological results. Additionally, the study seeks to investigate dynamic changes in glioma oxygenation using qBOLD measurements, both with and without metformin administration.


Study Methodology


The study included 13 C6-bearing Wistar rats and 3 healthy Wistar rats. A total of seven tumour-bearing and three healthy rats underwent 7-T qBOLD MRI to assess oxygen extraction fraction (OEF) and cerebral metabolic rate of O2 (CMRO2). 
 
Tumour tissues were stained using hypoxia-inducible factor-1 (HIF-1) and pimonidazole. The correlation between these hypoxia markers and qBOLD-based parameters was analyzed. Seven tumour-bearing rats and three healthy rats underwent qBOLD MRI.
 
The remaining six C6-bearing rats were divided into two groups: one receiving metformin and the other serving as a control. This group was used for a longitudinal study to assess hypoxia progression using qBOLD imaging.
 
MRI scans were conducted twice a week, starting 7 days post-tumour implantation to measure tumour volume. On day 12 post-transplantation, the treatment group began daily metformin injections (30 mg/kg/day). qBOLD scans were performed on days 12, 15, and 18. 



Findings


The following findings were recorded:

qBOLD-based O2 Metabolism in Healthy Rats

 
In healthy rats, qBOLD parameters revealed significant differences between grey matter (GM) in the striatum and white matter (WM) in the internal capsule. GM exhibited significantly higher T2 and T2* relaxation times compared to WM (T2: 48.5 ± 1.1 vs 45.8 ± 1.4 ms, p < 0.001; T2*: 37.7 ± 1.3 vs 36.4 ± 1.5 ms, p = 0.002), suggesting distinct relaxation properties. 
 
GM also had higher cerebral blood volume (CBV) (p < 0.001), though differences in cerebral blood flow (CBF) were not significant. Oxygen extraction fraction (OEF) was higher in WM, while the cerebral metabolic rate of oxygen (CMRO2) was greater in GM, indicating metabolic differences.
 
qBOLD-based O2 Metabolism in C6-Bearing Rats
 
In C6-bearing rats, tumour tissue showed significant differences from contralateral normal-appearing white matter (NAWM) across all qBOLD parameters, with higher T2, T2*, CBV, and CBF, and lower OEF and CMRO2 (p < 0.05). Compared to white matter in healthy controls, NAWM in C6-bearing rats had reduced T2*, CBF, OEF, and increased CMRO2 (p < 0.001), indicating notable metabolic differences.
 
Relationship Between qBOLD Parameters and Hypoxia-Related Pathological Staining
 
Tumour tissue showed high HIF-1α and pimonidazole staining, but no significant correlation between the two (p = 0.111). T2* and T2 values negatively correlated with pimonidazole scores (r = 0.44, p = 0.014; r = 0.43, p = 0.017), but not with HIF-1α.

As the tumour progressed, T2, T2*, and CBV decreased, OEF increased, and CMRO2 declined. In the metformin group, T2 and T2* values were significantly higher than controls on day 15, but no differences were seen by day 18. OEF remained lower, and CMRO2 decreased significantly compared to controls by day 18.
 
Dynamic Changes of qBOLD Parameters in Tumours with/without Metformin Delivery
 
No significant differences in tumour size or survival between the control and metformin groups were observed. However, metformin treatment maintained lower OEF and CMRO2 levels, significantly different from the control group by day 18.

 

Discussion

This study explores changes in oxygen metabolism during glioma progression by analyzing qBOLD parameters in both healthy and glioma-bearing models. It examines the correlation between qBOLD measurements and hypoxia markers, tracks longitudinal alterations in tumour oxygenation, and assesses the impact of metformin on glioma metabolism.


These findings show that tumour tissues share physical characteristics with grey matter but exhibit lower oxygen extraction fraction (OEF) and cerebral metabolic rate of oxygen (CMRO2), indicating inefficient metabolism and a preference for aerobic glycolysis. While no correlation was found between HIF-1α and pimonidazole expression, pimonidazole levels were inversely associated with T2 and T2* values, suggesting these parameters may serve as markers of chronic hypoxia.

As tumours progress, they shift from acute cyclic hypoxia to chronic diffusion-limited hypoxia. This study supports Andreas’s classification of glioma oxygen metabolism but suggests a continuous metabolic evolution rather than discrete states.

Metformin treatment maintained higher T2 and T2* values, with lower OEF and CMRO2, indicating a potential role in delaying tumour hypoxia.

The researchers note that a significant limitation of the study is the use of a rat glioma model, which may affect direct clinical relevance.
 

Conclusion
 
On the basis of these findings, the researchers conclude that qBOLD imaging offers insights into glioma oxygen metabolism, with metformin showing promise in modulating hypoxia progression.
 

 

Importance of this study for South Africa
 

South Africa, like many countries, does not have a national brain tumour registry.1

However, a recent study published in 2024 examined brain tumours in the Western Cape, highlighting important trends in tumour types and patient demographics. The study included 505 patients with brain tumours, with a mean age at diagnosis of 44 years (range: 0–82 years). Notably, 16% of primary tumours occurred in individuals under 20 years old. 2

Gliomas, glioneuronal and neuronal tumours, meningiomas, and pituitary tumours were the top four primary tumour types. Secondary brain tumours, making up 18% of cases, were most commonly associated with lung and breast cancers.

The study also revealed distinctive findings when compared to international registries, with a higher proportion of ependymal tumours and fewer nerve sheath tumours in South Africa.

This underscores the importance of advanced imaging techniques, such as those discussed in this study, as part of future efforts to better understand and manage brain tumours in South Africa.


 

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Additional References
 



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