Overview and recent advances in incidental meningioma

Näslund, Olivia; Strand, Per Sveino; Skoglund, Thomas; Solheim, Ole; Jakola, Asgeir Store

doi:10.1080/14737140.2023.2193333

Cited by 6 publications

(1 citation statement)

References 99 publications

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“…Due to more diagnostics being available worldwide, more and more meningiomas are being found incidentally. Optimal management of these lesions is still unclear [ 12 , 13 ]. It is also becoming increasingly evident that histopathology and DNA mutations do not fully capture the vast biological and clinical heterogeneity of these tumors [ 14 – 16 ].…”

Section: Introductionmentioning

confidence: 99%

Chronic hyperglycemia and intracranial meningiomas

Orešković,

Madero Pohlen,

Cvitković

et al. 2024

BMC Cancer

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Meningiomas are among the most common primary tumors of the central nervous system. Previous research into the meningioma histological appearance, genetic markers, transcriptome and epigenetic landscape has revealed that benign meningiomas significantly differ in their glucose metabolism compared to aggressive lesions. However, a correlation between the systemic glucose metabolism and the metabolism of the tumor hasn’t yet been found. We hypothesized that chronic levels of glycaemia (approximated with glycated hemoglobin (HbA1c)) are different in patients with aggressive and benign meningiomas. The study encompassed 71 patients with de novo intracranial meningiomas, operated on in three European hospitals, two in Croatia and one in Spain. Our results show that patients with WHO grade 2 meningiomas had significantly higher HbA1c values compared to patients with grade 1 lesions (P = 0.0290). We also found a significant number of patients (19/71; 26.7%) being hyperglycemic, harboring all the risks that such a condition entails. Finally, we found a significant correlation between our patients’ age and their preoperative HbA1c levels (P = 0.0008, ρ(rho) = 0.388), suggesting that older meningioma patients are at a higher risk of having their glycaemia severely dysregulated. These findings are especially important considering the current routine and wide-spread use of corticosteroids as anti-edematous treatment. Further research in this area could lead to better understanding of meningiomas and have immediate clinical impact.

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Section: Introductionmentioning

confidence: 99%

Chronic hyperglycemia and intracranial meningiomas

Orešković,

Madero Pohlen,

Cvitković

et al. 2024

BMC Cancer

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Differential Expression of Proteins and Genes at the Tumor‐Brain Interface in Invasive Meningioma

Senglek,

Teerapakpinyo,

Jittapiromsak

et al. 2024

Genes Chromosomes & Cancer

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Most meningiomas are dural‐based extra‐axial tumors in close contact with the brain. Expression of genes and proteins at the tumor‐brain interface in brain‐invasive meningioma is basically unknown. Using the NanoString pan‐cancer panel, differential expression of genes in the invasive edge versus main tumor body was determined in 12 invasive meningiomas (comprising the discovery cohort), and 6 candidate genes: DTX1, RASGRF1, GRIN1, TNR, IL6, and NR4A1, were identified. By immunohistochemistry, DTX1 and RASGRF1 expression correlated with gene expression, and were studied in an expanded cohort of 21 invasive and 15 noninvasive meningiomas, together with Ki‐67. Significantly higher expression of DTX1, RASGFR1, and Ki‐67 was found in the invasive edge compared with the main tumor body. Increased expression of RASGRF1 and Ki‐67 was more clearly associated with brain invasion. The situation with DTX1 was less definitive since increased expression was observed in meningiomas both at the invasive edge and when in close contact with brain but without invasion. Pathway analyses identified significant links between DTX1 and RASGRF1 and key biological processes, including cell–cell adhesion, and signaling pathways including Notch, RAS, MAPK, and Rho. Higher expression of DTX1, RASGRF1, and Ki‐67 in the brain‐invasive area of meningiomas suggests that these proteins play a role in the process of brain invasion.

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Growth dynamics of untreated meningiomas

Strand,

Wågø,

Pedersen

et al. 2023

Neuro-Oncology Advances

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Background Knowledge about meningioma growth characteristics is needed for developing biologically rational follow-up routines. In this study of untreated meningiomas followed with repeated MRIs, we studied growth dynamics and explored potential factors associated with tumor growth. Methods In a single-center cohort study, we included 235 adult patients with a radiologically suspected intracranial meningioma and at least three MRI scans during follow-up. Tumors were segmented using an automatic algorithm from contrast enhanced T1-series, and if needed manually corrected. Potential meningioma growth curves were statistically compared; linear, exponential, linear radial, or Gompertzian. Factors associated with growth were explored. Results In 235 patients, 1394 MRI scans were carried out in the median five-year observational period. Of the models tested, a Gompertzian growth curve best described growth dynamics of meningiomas on group level. 59 % of the tumors grew, 27 % remained stable, and 14 % shrunk. Only 13 patients (5 %) underwent surgery during the observational period and were excluded after surgery. Tumor size at time of diagnosis, multifocality, and length of follow-up were associated with tumor growth, whereas age, sex, presence of peritumoral edema or hyperintense T2-signal were not significant factors. Conclusion Untreated meningiomas follow a Gompertzian growth curve, indicating that increasing and potentially doubling of subsequent follow-up intervals between MRIs seems biologically reasonable, instead of fixed time intervals. Tumor size at diagnosis is the strongest predictor of future growth, indicating a potential for longer follow up intervals for smaller tumors. Although most untreated meningiomas grow, few require surgery.

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Overview and recent advances in incidental meningioma

Cited by 6 publications

References 99 publications

Chronic hyperglycemia and intracranial meningiomas

Chronic hyperglycemia and intracranial meningiomas

Differential Expression of Proteins and Genes at the Tumor‐Brain Interface in Invasive Meningioma

Growth dynamics of untreated meningiomas

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