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High Expression of GABAA Receptor β Subunit Genes Is Associated with Longer Overall Survival in Medulloblastoma

by
Jander M. Monteiro
1,
Matheus Dalmolin
2,3,4,
Marcelo A. C. Fernandes
2,3,4,5,
Jaqueline I. R. Ramos
6,
Carmen A. P. M. Ribas
1,
Fernando I. Tabushi
1,
Rafael Roesler
4,7,8,* and
Gustavo R. Isolan
1,4,9,*
1
Graduate Program in Principles of Surgery, Mackenzie Evangelical University, Curitiba 80730-000, Brazil
2
InovAI Lab, nPITI/IMD, Federal University of Rio Grande do Norte, Natal 59078-970, Brazil
3
Bioinformatics Multidisciplinary Environment (BioME), Federal University of Rio Grande do Norte, Natal 59078-970, Brazil
4
National Science and Technology Institute for Children’s Cancer Biology and Pediatric Oncology—INCT BioOncoPed, Porto Alegre 90035-003, Brazil
5
Department of Computer Engineering and Automation, Federal University of Rio Grande do Norte, Natal 59078-970, Brazil
6
Ribeirão Preto School of Dentistry, University of São Paulo, Ribeirão Preto 14040-904, Brazil
7
Department of Pharmacology, Institute for Basic Health Sciences, Federal University of Rio Grande do Sul, Porto Alegre 90035-003, Brazil
8
Cancer and Neurobiology Laboratory, Experimental Research Center, Clinical Hospital (CPE-HCPA), Federal University of Rio Grande do Sul, Porto Alegre 90035-003, Brazil
9
The Center for Advanced Neurology and Neurosurgery (CEANNE), Porto Alegre 90560-010, Brazil
*
Authors to whom correspondence should be addressed.
Brain Sci. 2024, 14(11), 1146; https://doi.org/10.3390/brainsci14111146
Submission received: 18 September 2024 / Revised: 11 November 2024 / Accepted: 13 November 2024 / Published: 15 November 2024
(This article belongs to the Special Issue Molecular and Cellular Biology of Brain Tumors and Neuro-Oncology)

Abstract

:
Background/Objectives: Most of the rapid inhibitory neurotransmission in the brain is mediated through activation of the γ-aminobutyric acid (GABA) type A (GABAA) receptor, which is a ligand-gated ion channel. GABAA receptor activation via GABA binding allows for an intracellular influx of Cl ions, thus inducing cellular hyperpolarization. Each GABAA receptor consists of a combination of five subunits, and several subunits have been proposed as biomarkers and therapeutic targets in cancer. Here, we show the expression of genes encoding β subunits of the GABAA receptor, namely GABRB1, GABRB2, and GABRB3, across the four different molecular subgroups of medulloblastoma (MB), which is the most common malignant pediatric brain tumor. We also show the associations of GABAA receptor β subunits with MB patients’ overall survival (OS). Methods: The expression of genes encoding GABAA receptor β subunits was analyzed using a previously described dataset comprising 763 MB tumor samples. Patients were classified into high- and low-gene-expression groups, and the Kaplan–Meier estimate was used to examine the relationship between gene expression levels and patient OS. Results: High GABRB1 expression was associated with better OS within each of the four molecular subgroups. The GABRB2 gene showed higher transcript levels in Group 3 MB compared to all other subgroups, and high expression was associated with better prognosis in Group 3 tumors. GABRB3 expression was significantly higher in Group 3 and Group 4 MB, and high expression of GABRB3 genes was associated with longer OS in the sonic hedgehog (SHH) subgroup. The high expression of GABRB1, GABRB2, and GABRB3 is associated with longer patient OS in a subgroup-specific manner. Conclusions: These results indicate a role for GABAA receptors containing β subunits in influencing MB progression.

1. Introduction

The γ-aminobutyric acid (GABA) type A (GABAA) receptor mediates most of the rapid inhibitory neurotransmission in the central nervous system (CNS). Each GABAA receptor consists of a combination of five subunits drawn from a repertoire of 19 proteins (α1-6, β1-3, γ1-3, δ, ε, θ, π, ρ1-3). Most of the functional GABAA receptors consist of two α, two β and one γ or δ subunit, which, when combined, form a ligand-gated chloride (Cl) ion channel activated by GABA binding [1,2]. GABAergic transmission regulates cerebellar development, which is critical for the establishment of connections between basket cells and Purkinje cells [3], and GABA influences the differentiation and proliferation of cerebellar NG2-expressing oligodendrocyte precursor cells [4]. Mouse models with reduced GABAergic function show impaired developmental synapse selection in the cerebellum [5]. Developmental changes in the subunit composition of GABAA receptors may be involved in the GABA modulation of cerebellar formation [6].
Several genes involved in normal cerebellar development may also play a role in oncogenesis [7,8,9,10,11,12]. Medulloblastoma (MB), the most common malignant brain tumor affecting children, likely arises from neuronal progenitors in the cerebellum and some subtypes of MB tumors appear arrested at different developmental stages [7,8]. MB is currently classified into four consensus molecular subgroups, namely wingless-activated (WNT), sonic hedgehog (SHH), Group 3, and Group 4, with Group 3 MB being particularly associated with poorer survival and metastasis [13,14,15].
The gene expression patterns in different molecular subgroups of MB resemble those found in cerebellar cell types that are temporally restricted over the course of development [12]. Transitional cerebellar progenitors that connect neural stem cells to neuronal lineages in the developing cerebellum are enriched in more aggressive MB subgroups [10]. Increased expression of the GABRA5 gene, which encodes the α5 subunit of the GABAA receptor, was reported in Group 3 MB, and pharmacological activation with the specific α5-GABAA receptor agonist QHii066 reduces the survival of MB cells, suggesting that increased GABAA receptor activity can counteract MB growth [16]. However, the role of β subunits remains poorly understood. Here, we analyzed the transcript levels of genes encoding β subunits of the GABAA receptor, namely GABRB1, GABRB2, and GABRB3, across the four different molecular subgroups of MB, and their association with patient prognosis as assessed by OS.

2. Materials and Methods

2.1. Gene Expression, Tumor and Patient Data

The expression of genes encoding GABAA receptor β subunits was analyzed using the transcriptome dataset, comprising 763 tumor samples from patients with MB, who constituted the Cavalli cohort [17]. We selected 612 samples that included complete survival data, specifically, OS time and survival status (alive or dead). Samples lacking complete survival information were excluded, as these data are crucial for Kaplan–Meier analysis. The selected 612 tumor samples were distributed according to molecular subgroup: Group 3, n = 113; Group 4, n = 264; SHH, n = 172; WNT, n = 64. Expression data were processed and normalized by the authors of the original study and are publicly available in the GEO database under the accession code GSE85218.

2.2. Statistical Analysis

Wilcoxon tests were used to analyze differences in the expression of genes encoding the β subunit of the GABAA receptor (GABRB1, GABRB2, GABRB3) among MB subgroups (WNT, SHH, Group 3, and Group 4) as the data did not follow a normal distribution. Normality was assessed using the Shapiro–Wilk test, which is particularly suited for smaller sample sizes. This test evaluates the null hypothesis that a sample comes from a normally distributed population. A p-value < 0.05 in the Shapiro–Wilk test indicated a significant deviation from normality in our dataset. Pairwise comparisons were conducted using the Dunn test with Holm-adjusted p-values for multiple testing corrections. These analyses were performed using the ‘ggstatsplot’ package.
To assess the association between gene expression levels for GABRB1, GABRB2, and GABRB3 and patient OS, we used the Kaplan–Meier estimate. Patients were classified into high- and low-gene-expression groups using the ‘Survminer’ package. The surv_cutpoint() function from Survminer was employed to determine the optimal cutoff point for gene expression that maximizes the difference in survival between the groups. The parameter minprop = 0.2 was set to ensure that at least 20% of the patients were included in the smaller group, preventing a highly unbalanced division. This process objectively identifies the most appropriate threshold for high and low expression based on the data. Survival analysis was then performed using the ‘Survival’ package, with p < 0.05 indicating significant differences between groups.

3. Results

3.1. Expression of GABRB1, the Gene Encoding the β1 Subunit of the GABAA Receptor, in Molecular Subgroups of MB Tumors

The expression of the GABRB1 gene in Group 4 MB was significantly higher compared to that in Group 3, SHH, and WNT MB. Conversely, expression in the WNT subgroup was lower compared to all other molecular subgroups (Figure 1).

3.2. Association Between GABRB1 Expression and Patient Survival in Different Molecular Subgroups of MB

For each MB subgroup, we then conducted survival analyses to verify whether GABRB1 expression was associated with patient prognosis. A higher expression of GABRB1 was significantly associated with better prognosis, as indicated by longer OS, in all MB subgroups (Figure 2).

3.3. Expression of GABRB2 and GABRA3 and Subgroup-Specific Association with Patient Survival in MB

The GABRB2 gene showed significantly higher expression in Group 3 MB compared to all other subgroups (Figure 3A), and high GABRB2 expression was associated with better prognosis within Group 3 tumors (Figure 3B). GABRB3 expression was significantly higher in Group 3 and Group 4 MB compared to the SHH and WNT subgroups (Figure 3C). High expression of the GABRB3 gene was associated with better prognosis in SHH MB (Figure 3D).

4. Discussion

Our findings show that the genes encoding β subunits of the GABAA receptor are expressed across all four molecular subgroups of MB. Higher transcript levels were associated with better patient survival in all MB subgroups for GABRB1 and in a subgroup-specific manner for GABRB2 and GABRB3. The expression of GABRB2 was higher and associated with better prognosis in Group 3 tumors, whereas GABRB3 showed higher levels in Group 3 and Group 4 MB, but was related to longer survival in the SHH subgroup.
We previously reported that high levels of GABRA2, GABRA3, GABRB3, GABRG1, and GABRG2 indicated better prognosis in glioma, and GABRB3 was particularly associated with longer OS in patients with lower-grade gliomas [18]. Together with these previous findings, our present results support the possibility that GABAergic neurotransmission mediated by GABAA receptors can impair the growth of brain tumors. Consistent with this view, the pharmacological stimulation of GABAA receptors has been shown to display inhibitory effects in experimental MB through mechanisms that may involve TP53 upregulation [16,19]. These findings have potential clinical implications, suggesting the possibility that drugs that stimulate GABAA receptors, such as benzodiazepines, could be used as adjuvant treatment options in MB patients.
The mechanisms underlying GABAergic involvement in brain tumors remain unclear. GABAA receptors are critical for synapse selection during development in the cerebellum, indicating that alterations in the expression or function of GABAA receptors could lead to abnormal cerebellar formation related to MB carcinogenesis [4,5,6]. The change in cell membrane potential that follows GABAA receptor activation leads to a variety of intracellular signaling stimuli partially related to Ca2+ mobilization. GABAA receptor activation can result in neuronal inhibition, or in the development of neurons with altered Cl levels, excitation [20,21,22]. GABA induces the phosphorylation and activation of histone H2AX through the phosphoinositide 3-kinase (PI3K) pathway to reduce stem cell proliferation [23,24]. GABAA stimulation by a benzodiazepine leads to the upregulation of tumor-suppressing genes MDM2, PTEN, and TP53, and also of AKT1-3, in MB cells [19].
A previous analysis of the Cavalli cohort by Kallay et al. showed high GABRB3 expression across all four MB molecular subgroups and indicated that the gene expression pattern of different subunits of the GABAA receptor was consistent with the assembly of functional receptors. The different molecular subgroups of MB display distinct GABAA receptor subunit expression signatures, which might imply subgroup-specific regulatory actions of GABAergic transmission on MB tumor progression [19].
Evidence from studies investigating peripheral solid tumors also supports the involvement of GABAA β subunits and their encoding genes as biomarkers or therapeutic targets in cancer [25,26,27]. For example, the expression of GABRB2 and GABRB3 is associated with colon adenocarcinoma occurrence, and a low expression of GABRB1 correlates with patient survival in that cancer type [28]. GABAA β3 subunit content is higher in triple-negative breast cancer (TNBC) in comparison to non-tumor cells, and pharmacological antagonism or genetic knockdown of that subunit reduces cell proliferation and migration, induces cell cycle arrest, and increases p21 expression in TBNC cells [29]. The GABAA β3 subunit is highly expressed in hepatocellular carcinoma (HCC) cancer stem cells (CSCs) compared to normal stem cells, and this may partially account for HCC CSC’s depolarized state and responses to GABAA receptor agonists [30].

5. Conclusions

This study used an established MB dataset to provide early gene expression evidence suggesting a role for β subunit-containing GABAA receptors in tumor aggressiveness. Our results show that higher transcript levels of GABRB1, GABRB2, and GABRB3 are associated with longer patient OS. The modulatory role of GABAA receptors in brain tumors highlights the importance of exploring the influence of neuronal cell surface receptors that function as neurotransmitter-gated ion channels on brain cancer progression.

Author Contributions

Conceptualization, J.M.M., M.D., M.A.C.F., R.R. and G.R.I.; methodology, J.M.M., M.D., M.A.C.F., R.R. and G.R.I.; formal analysis, J.M.M., M.D., M.A.C.F., R.R. and G.R.I.; investigation, J.M.M., M.D., M.A.C.F., R.R. and G.R.I.; resources, M.A.C.F., R.R. and G.R.I.; data curation, J.M.M., M.D., M.A.C.F., R.R. and G.R.I.; writing—original draft preparation, J.M.M., M.D., M.A.C.F., R.R. and G.R.I.; writing—review and editing, J.M.M., M.D., M.A.C.F., J.I.R.R., C.A.P.M.R., F.I.T., R.R. and G.R.I.; supervision, G.R.I.; project administration, R.R. and G.R.I.; funding acquisition, J.M.M., R.R. and G.R.I. All authors have read and agreed to the published version of the manuscript.

Funding

This research was supported by the National Council for Scientific and Technological Development (CNPq, MCTI, Brazil) grants 305647/2019-9, 405608/2021-7, and 406484/2022-8 (INCT BioOncoPed) (R.R.), the Center for Advanced Neurology and Neurosurgery (CEANNE), the Children’s Cancer Institute; and Mackenzie Evangelical University.

Institutional Review Board Statement

This study used public datasets and did not require ethical approval.

Informed Consent Statement

Not applicable.

Data Availability Statement

The dataset analyzed in this study is available in the Gene Expression Omnibus repository, https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE85217.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Ghit, A.; Assal, D.; Al-Shami, A.S.; Hussein, D.E.E. GABAA receptors: Structure, function, pharmacology, and related disorders. J. Genet. Eng. Biotechnol. 2021, 19, 123. [Google Scholar] [CrossRef] [PubMed]
  2. Simon, J.; Wakimoto, H.; Fujita, N.; Lalande, M.; Barnard, E.A. Analysis of the set of GABA(A) receptor genes in the human genome. J. Biol. Chem. 2004, 279, 41422–41435. [Google Scholar] [CrossRef] [PubMed]
  3. Miwa, H.; Kobayashi, K.; Hirai, S.; Yamada, M.; Watanabe, M.; Okado, H.; Yanagawa, Y. GAD67-mediated GABA synthesis and signaling impinges on directing basket cell axonal projections toward purkinje cells in the cerebellum. Cerebellum 2022, 21, 905–919. [Google Scholar] [CrossRef]
  4. Zonouzi, M.; Scafidi, J.; Li, P.; McEllin, B.; Edwards, J.; Dupree, J.L.; Harvey, L.; Sun, D.; Hübner, C.A.; Cull-Candy, S.G.; et al. GABAergic regulation of cerebellar NG2 cell development is altered in perinatal white matter injury. Nat. Neurosci. 2015, 18, 674–682. [Google Scholar] [CrossRef]
  5. Nakayama, H.; Miyazaki, T.; Kitamura, K.; Hashimoto, K.; Yanagawa, Y.; Obata, K.; Sakimura, K.; Watanabe, M.; Kano, M. GABAergic inhibition regulates developmental synapse elimination in the cerebellum. Neuron 2012, 74, 384–396. [Google Scholar] [CrossRef]
  6. Saitow, F.; Nagano, M.; Suzuki, H. Developmental changes in serotonergic modulation of GABAergic synaptic transmission and postsynaptic GABAA receptor composition in the cerebellar nuclei. Cerebellum 2018, 17, 346–358. [Google Scholar] [CrossRef] [PubMed]
  7. Gold, M.P.; Ong, W.; Masteller, A.M.; Ghasemi, D.R.; Galindo, J.A.; Park, N.R.; Huynh, N.C.; Donde, A.; Pister, V.; Saurez, R.A.; et al. Developmental basis of SHH medulloblastoma heterogeneity. Nat. Commun. 2024, 15, 270. [Google Scholar] [CrossRef]
  8. Hendrikse, L.D.; Haldipur, P.; Saulnier, O.; Millman, J.; Sjoboen, A.H.; Erickson, A.W.; Ong, W.; Gordon, V.; Coudière-Morrison, L.; Mercier, A.L.; et al. Failure of human rhombic lip differentiation underlies medulloblastoma formation. Nature 2022, 609, 1021–1028. [Google Scholar] [CrossRef]
  9. Jaeger, M.C.; Ghisleni, E.C.; Cardoso, P.S.; Siniglaglia, M.; Falcon, T.; Brunetto, A.T.; Brunetto, A.L.; de Farias, C.B.; Taylor, M.D.; Nör, C.; et al. HDAC and MAPK/ERK inhibitors cooperate to reduce viability and stemness in medulloblastoma. J. Mol. Neurosci. 2020, 70, 981–992. [Google Scholar] [CrossRef]
  10. Luo, Z.; Xia, M.; Shi, W.; Zhao, C.; Wang, J.; Xin, D.; Dong, X.; Xiong, Y.; Zhang, F.; Berry, K.; et al. Human fetal cerebellar cell atlas informs medulloblastoma origin and oncogenesis. Nature 2022, 612, 787–794. [Google Scholar] [CrossRef]
  11. Thomaz, A.; Jaeger, M.; Brunetto, A.L.; Brunetto, A.T.; Gregianin, L.; de Farias, C.B.; Ramaswamy, V.; Nör, C.; Taylor, M.D.; Roesler, R. Neurotrophin signaling in medulloblastoma. Cancers 2020, 12, 2542. [Google Scholar] [CrossRef] [PubMed]
  12. Vladoiu, M.C.; El-Hamamy, I.; Donovan, L.K.; Farooq, H.; Holgado, B.L.; Sundaravadanam, Y.; Ramaswamy, V.; Hendrikse, L.D.; Kumar, S.; Mack, S.C.; et al. Childhood cerebellar tumours mirror conserved fetal transcriptional programs. Nature 2019, 572, 67–73. [Google Scholar] [CrossRef]
  13. Northcott, P.A.; Buchhalter, I.; Morrissy, A.S.; Hovestadt, V.; Weischenfeldt, J.; Ehrenberger, T.; Gröbner, S.; Segura-Wang, M.; Zichner, T.; Rudneva, V.A.; et al. The whole-genome landscape of medulloblastoma subtypes. Nature 2017, 547, 311–317. [Google Scholar] [CrossRef]
  14. Northcott, P.A.; Korshunov, A.; Pfister, S.M.; Taylor, M.D. The clinical implications of medulloblastoma subgroups. Nat. Rev. Neurol. 2012, 8, 340–351. [Google Scholar] [CrossRef]
  15. Taylor, M.D.; Northcott, P.A.; Korshunov, A.; Remke, M.; Cho, Y.J.; Clifford, S.C.; Eberhart, C.G.; Parsons, D.W.; Rutkowski, S.; Gajjar, A.; et al. Molecular subgroups of medulloblastoma: The current consensus. Acta Neuropathol. 2012, 123, 465–472. [Google Scholar] [CrossRef]
  16. Sengupta, S.; Weeraratne, S.D.; Sun, H.; Phallen, J.; Rallapalli, S.K.; Teider, N.; Kosaras, B.; Amani, V.; Pierre-Francois, J.; Tang, Y.; et al. α5-GABAA receptors negatively regulate MYC-amplified medulloblastoma growth. Acta Neuropathol. 2014, 127, 593–603. [Google Scholar] [CrossRef] [PubMed]
  17. Cavalli, F.M.G.; Remke, M.; Rampasek, L.; Peacock, J.; Shih, D.J.H.; Luu, B.; Garzia, L.; Torchia, J.; Nor, C.; Morrissy, A.S.; et al. Intertumoral heterogeneity within medulloblastoma subgroups. Cancer Cell 2017, 31, 737–754.e6. [Google Scholar] [CrossRef] [PubMed]
  18. Badalotti, R.; Dalmolin, M.; Malafaia, O.; Ribas Filho, J.M.; Roesler, R.; Fernandes, M.A.C.; Isolan, G.R. Gene expression of GABAA receptor subunits and association with patient survival in glioma. Brain Sci. 2024, 14, 275. [Google Scholar] [CrossRef]
  19. Kallay, L.; Keskin, H.; Ross, A.; Rupji, M.; Moody, O.A.; Wang, X.; Li, G.; Ahmed, T.; Rashid, F.; Stephen, M.R.; et al. Modulating native GABAA receptors in medulloblastoma with positive allosteric benzodiazepine-derivatives induces cell death. J. Neurooncol. 2019, 142, 411–422. [Google Scholar] [CrossRef]
  20. Cherubini, E.; Rovira, C.; Gaiarsa, J.L.; Corradetti, R.; Ben Ari, Y. GABA mediated excitation in immature rat CA3 hippocampal neurons. Int. J. Dev. Neurosci. 1990, 8, 481–490. [Google Scholar] [CrossRef]
  21. Dzhala, V.I.; Talos, D.M.; Sdrulla, D.A.; Brumback, A.C.; Mathews, G.C.; Benke, T.A.; Delpire, E.; Jensen, F.E.; Staley, K.J. NKCC1 transporter facilitates seizures in the developing brain. Nat. Med. 2005, 11, 1205–1213. [Google Scholar] [CrossRef] [PubMed]
  22. Martina, M.; Kilić, G.; Cherubini, E. The effect of intracellular Ca2+ on GABA-activated currents in cerebellar granule cells in culture. J. Membr. Biol. 1994, 142, 209–216. [Google Scholar] [CrossRef] [PubMed]
  23. Andang, M.; Hjerling-Leffler, J.; Moliner, A.; Lundgren, T.K.; Castelo-Branco, G.; Nanou, E.; Pozas, E.; Bryja, V.; Halliez, S.; Nishimaru, H.; et al. Histone H2AX-dependent GABA(A) receptor regulation of stem cell proliferation. Nature 2008, 451, 460–464. [Google Scholar] [CrossRef] [PubMed]
  24. Fernando, R.N.; Eleuteri, B.; Abdelhady, S.; Nussenzweig, A.; Andang, M.; Ernfors, P. Cell cycle restriction by histone H2AX limits proliferation of adult neural stem cells. Proc. Natl. Acad. Sci. USA 2011, 108, 5837–5842. [Google Scholar] [CrossRef]
  25. Barki, M.; Xue, H. GABRB2, a key player in neuropsychiatric disorders and beyond. Gene 2022, 809, 146021. [Google Scholar] [CrossRef]
  26. Bhattacharya, D.; Gawali, V.S.; Kallay, L.; Toukam, D.K.; Koehler, A.; Stambrook, P.; Krummel, D.P.; Sengupta, S. Therapeutically leveraging GABAA receptors in cancer. Exp. Biol. Med. 2021, 246, 2128–2135. [Google Scholar] [CrossRef]
  27. Yang, Y.; Ren, L.; Li, W.; Zhang, Y.; Zhang, S.; Ge, B.; Yang, H.; Du, G.; Tang, B.; Wang, H.; et al. GABAergic signaling as a potential therapeutic target in cancers. Biomed. Pharmacother. 2023, 161, 114410. [Google Scholar] [CrossRef]
  28. Yan, L.; Gong, Y.Z.; Shao, M.N.; Ruan, G.T.; Xie, H.L.; Liao, X.W.; Wang, X.K.; Han, Q.F.; Zhou, X.; Zhu, L.C.; et al. Distinct diagnostic and prognostic values of γ-aminobutyric acid type A receptor family genes in patients with colon adenocarcinoma. Oncol. Lett. 2020, 20, 275–291. [Google Scholar] [CrossRef]
  29. Bundy, J.; Shaw, J.; Hammel, M.; Nguyen, J.; Robbins, C.; Mercier, I.; Suryanarayanan, A. Role of β3 subunit of the GABA type A receptor in triple negative breast cancer proliferation, migration, and cell cycle progression. Cell Cycle 2024, 23, 448–465. [Google Scholar] [CrossRef]
  30. Bautista, W.; Lipschitz, J.; McKay, A.; Minuk, G.Y. Cancer stem cells are depolarized relative to normal stem cells derived from human livers. Ann. Hepatol. 2017, 16, 297–303. [Google Scholar] [CrossRef]
Figure 1. Gene expression of GABRB1, the gene encoding the β1 subunit of the GABAA receptor, in different molecular subgroups of human MB. Tumors from the dataset described by Cavalli et al. [17]. Results are presented in boxplot format as log2-transformed signal intensity. Bars show data for Group 3 (n = 113), Group 4 (n = 264), SHH (n = 172), and WNT (n = 63) MB; p values are indicated in this figure.
Figure 1. Gene expression of GABRB1, the gene encoding the β1 subunit of the GABAA receptor, in different molecular subgroups of human MB. Tumors from the dataset described by Cavalli et al. [17]. Results are presented in boxplot format as log2-transformed signal intensity. Bars show data for Group 3 (n = 113), Group 4 (n = 264), SHH (n = 172), and WNT (n = 63) MB; p values are indicated in this figure.
Brainsci 14 01146 g001
Figure 2. Gene expression of the GABRB1 β GABAA receptor subunit is associated with better prognosis in patients with MB. (A) OS analysis of patients with Group 3 MB tumors (n = 113), comparing high (n = 40) and low (n = 73) GABRB1 expression. (B) OS analysis of patients with Group 4 MB tumors (n = 264), comparing high (n = 182) and low (n = 82) expression of GABRB1. (C) OS analysis of patients with SHH MB tumors (n = 172), comparing high (n = 136) and low (n = 36) GABRB1 expression. (D) OS analysis of patients with WNT MB tumors (n = 63), comparing high (n = 49) and low (n = 14) GABRB1 expression. In all plots, red lines represent patients with high GABRB1 expression, and blue lines represent patients with low expression. The number of patients at risk at each time point is shown below each plot. Data show analyses of MB tumors in the dataset described by Cavalli et al. [17]; p values are indicated in this figure.
Figure 2. Gene expression of the GABRB1 β GABAA receptor subunit is associated with better prognosis in patients with MB. (A) OS analysis of patients with Group 3 MB tumors (n = 113), comparing high (n = 40) and low (n = 73) GABRB1 expression. (B) OS analysis of patients with Group 4 MB tumors (n = 264), comparing high (n = 182) and low (n = 82) expression of GABRB1. (C) OS analysis of patients with SHH MB tumors (n = 172), comparing high (n = 136) and low (n = 36) GABRB1 expression. (D) OS analysis of patients with WNT MB tumors (n = 63), comparing high (n = 49) and low (n = 14) GABRB1 expression. In all plots, red lines represent patients with high GABRB1 expression, and blue lines represent patients with low expression. The number of patients at risk at each time point is shown below each plot. Data show analyses of MB tumors in the dataset described by Cavalli et al. [17]; p values are indicated in this figure.
Brainsci 14 01146 g002
Figure 3. Gene expression of the GABRB2 and GABRB3 β GABAA receptor subunits is associated with better prognosis in specific molecular subgroups of MB. (A) GABRB2 expression in molecular subgroups of MB, including Group 3 (n = 113), Group 4 (n = 264), SHH (n = 172), and WNT (n = 63) tumors, shown as violin plots. (B) OS analysis of patients with Group 3 MB tumors, comparing high (n = 24) and low (n = 89) GABRB2 expression. (C) GABRB3 expression in molecular subgroups of MB, shown as violin plots. (D) OS analysis of patients with SHH MB tumors, comparing high (n = 138) and low (n = 34) GABRB3 expression. In the Kaplan–Meier plots (B,D), red lines represent patients with high GABRB expression, and blue lines represent those with low expression. The number of patients at risk at each time point is shown below each plot; p values are indicated in this figure.
Figure 3. Gene expression of the GABRB2 and GABRB3 β GABAA receptor subunits is associated with better prognosis in specific molecular subgroups of MB. (A) GABRB2 expression in molecular subgroups of MB, including Group 3 (n = 113), Group 4 (n = 264), SHH (n = 172), and WNT (n = 63) tumors, shown as violin plots. (B) OS analysis of patients with Group 3 MB tumors, comparing high (n = 24) and low (n = 89) GABRB2 expression. (C) GABRB3 expression in molecular subgroups of MB, shown as violin plots. (D) OS analysis of patients with SHH MB tumors, comparing high (n = 138) and low (n = 34) GABRB3 expression. In the Kaplan–Meier plots (B,D), red lines represent patients with high GABRB expression, and blue lines represent those with low expression. The number of patients at risk at each time point is shown below each plot; p values are indicated in this figure.
Brainsci 14 01146 g003
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Monteiro, J.M.; Dalmolin, M.; Fernandes, M.A.C.; Ramos, J.I.R.; Ribas, C.A.P.M.; Tabushi, F.I.; Roesler, R.; Isolan, G.R. High Expression of GABAA Receptor β Subunit Genes Is Associated with Longer Overall Survival in Medulloblastoma. Brain Sci. 2024, 14, 1146. https://doi.org/10.3390/brainsci14111146

AMA Style

Monteiro JM, Dalmolin M, Fernandes MAC, Ramos JIR, Ribas CAPM, Tabushi FI, Roesler R, Isolan GR. High Expression of GABAA Receptor β Subunit Genes Is Associated with Longer Overall Survival in Medulloblastoma. Brain Sciences. 2024; 14(11):1146. https://doi.org/10.3390/brainsci14111146

Chicago/Turabian Style

Monteiro, Jander M., Matheus Dalmolin, Marcelo A. C. Fernandes, Jaqueline I. R. Ramos, Carmen A. P. M. Ribas, Fernando I. Tabushi, Rafael Roesler, and Gustavo R. Isolan. 2024. "High Expression of GABAA Receptor β Subunit Genes Is Associated with Longer Overall Survival in Medulloblastoma" Brain Sciences 14, no. 11: 1146. https://doi.org/10.3390/brainsci14111146

APA Style

Monteiro, J. M., Dalmolin, M., Fernandes, M. A. C., Ramos, J. I. R., Ribas, C. A. P. M., Tabushi, F. I., Roesler, R., & Isolan, G. R. (2024). High Expression of GABAA Receptor β Subunit Genes Is Associated with Longer Overall Survival in Medulloblastoma. Brain Sciences, 14(11), 1146. https://doi.org/10.3390/brainsci14111146

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