Skip to main content
NIHPA Author Manuscripts logoLink to NIHPA Author Manuscripts
. Author manuscript; available in PMC: 2023 Aug 1.
Published in final edited form as: Neuropathol Appl Neurobiol. 2022 Mar 30;48(5):e12815. doi: 10.1111/nan.12815

A CTNNB1-altered medulloblastoma shows the immunophenotypic, DNA methylation, and transcriptomic profiles of SHH-activated, and not WNT-activated, medulloblastoma

Jason Chiang 1,#, Daniel C Moreira 2,3, Nicholas J Pytel 3, Yen-Chun Liu 1, Patrick R Blackburn 1, Zonggao Shi 4, Maria Cardenas 4, David A Wheeler 4, Larissa V Furtado 1,#
PMCID: PMC9295902  NIHMSID: NIHMS1822192  PMID: 35320876

Recent advancement in molecular characterisation has identified four principal molecular groups of medulloblastoma (MB), namely WNT, SHH, group 3, and group 4, and each has its characteristic clinical features, predilection for specific anatomic sites, signature genetic alterations, and distinct DNA methylome profiles [1]. Immunophenotypically, MB can be divided into WNT, SHH, and non-WNT/non-SHH groups by their expression of YAP1 and GAB1—WNT MB expresses YAP1, in addition to its characteristic nuclear β-catenin positivity, and SHH MB expresses both. In contrast, non-WNT/non-SHH MB is negative for both [2]. Thus far, CTNNB1 mutations have been considered pathognomonic of WNT MB. Furthermore, it has been shown that CTNNB1 mutations dominantly drive the WNT-activated phenotype in MB, even in the presence of alterations in the SHH pathway [3, 4].

We herein report an illustrative case that challenges this belief. The patient was a 2-year-old, previously healthy male who presented with ataxia, emesis, and regression of developmental milestones. Imaging revealed a large posterior fossa mass with associated obstructive hydrocephalus (Fig. 1a). The epicentre of the tumour was slightly lateral within the fourth ventricle. No metastases were identified, and gross total resection was achieved. The histologic sections showed a biphasic embryonal tumour with alternating hypercellular areas and areas showing a neuropil-like matrix with decreased cell densities (Fig. 1b). Anaplasia was only appreciated focally. Ki-67 labelling further highlighted the biphasic nature of the tumour, showing the proliferative hypercellular areas and pale nodules of low proliferative indices (Fig. 1c). However, unlike MB with extensive nodularity or desmoplastic/nodular MB prevalent in this age group, there was no stromal desmoplasia between the pale nodules revealed by reticulin stain (Fig. 1d). Tumour cells in the hypercellular areas were strongly positive for YAP1 (Fig. 1e). There was patchy GAB1 immunoreactivity (Fig. 1f). No strong nuclear β-catenin immunoreactivity was observed (Fig. 1g). Immunostaining for p53 variably marks a small subset of tumour cell nuclei. Homozygous deletion of PTCH1 was detected by interphase fluorescence in situ hybridisation, while copy number gain or amplification of MYC and MYCN and monosomy 6, a signature finding in WNT MB, were not identified. A diagnosis of SHH-activated and TP53-wildtype MB with classic, biphasic histology was made based on the tumour’s histopathologic, immunophenotypic, and molecular findings.

Fig. 1. SHH-activated medulloblastoma with pathogenic CTNNB1 mutation.

Fig. 1.

(a) T1-weighted post-contrast magnetic resonance imaging shows a large posterior fossa tumour filling the fourth ventricle. (b) The biphasic tumour shows pale nodules of neurocytic differentiation in between hypercellular areas with embryonal cytology. (c) A Ki-67 stain further highlights the biphasic pattern. (d) There is no internodular desmoplasia. The tumour cells are positive for YAP1 (e) and GAB1 (f) and show no strong nuclear β-catenin immunoreactivity (g). (h) Pathogenic CTNNB1 S45Y variant was identified by whole exome sequencing and RNA sequencing. Methylation (i) and transcriptomic (j) profiles of this tumour cluster with SHH MB and are distinct from WNT MB. (k) Copy number variation plot shows the homozygous deletion of PTCH1, a frequent finding in SHH MB, and lack of monosomy 6, a signature finding of WNT MB.

Whole exome sequencing (WES) and transcriptome (RNA-seq) analysis of this tumour, however, revealed pathogenic CTNNB1 S45Y (NM_001904.3) (Fig. 1h) and MAX R60Q (NM_002382.4) variants, without additional alterations in the SHH pathway. The allele frequency of the CTNNB1 S45Y variant (59% WES, 52% RNA) supported its clonal presence in the tumour cells (Supplementary Fig. 1). PTCH1 alterations have been described in a small subset of WNT MB [35], but WNT pathway activating mutations have not been reported in SHH MB. To resolve the genotype-phenotype discrepancy as to whether the tumour reported herein should be classified as SHH or WNT MB, which has a significant impact on therapeutic strategies and prognosis, an in-house developed neural network classifier (St. Jude MLPnet version 1.0) based on DNA methylation data from the Infinium MethylationEPIC BeadChip array (Illumina, Inc., San Diego, CA) was utilised. The analysis revealed a high calibrated score for infant SHH MB (0.93/1.00). This finding was further supported by the t-SNE plots using the tumour’s DNA methylation (Fig. 1i) and transcriptomic profiles (Fig. 1j) and concurred with the result from the DKFZ’s brain tumour classifier v12.3 (https://www.molecularneuropathology.org/mnp), which revealed methylation class family medulloblastoma, SHH, and methylation class medulloblastoma, subclass SHH B (infant) with calibrated scores 0.95 and 0.90, respectively. CNV plot derived from the methylation array supports the homozygous deletion of PTCH1 without a loss of chromosome 6 (Fig. 1k). As expected for a SHH MB, RNA expression of OTX2 in the tumour was very low (Supplementary Fig. 2). These findings guided the therapeutic approach for this patient, and a radiation-sparing strategy was adopted.

The CTNNB1 S45Y mutation detected in this tumour has been identified in several cancer types of hepatic, renal, dermal, soft tissue, and adrenocortical origins (http://cancer.sanger.ac.uk/cosmic). This variant falls within a mutational hotspot region in exon 3 of CTNNB1 that plays a critical role in β-catenin degradation. It is predicted to have a deleterious effect on protein function by five of seven in silico algorithms [612]. In vitro and in vivo studies suggest that this variant has weak WNT/β-catenin activating potential and is insufficient to drive tumorigenesis by itself [13, 14]. The lack of β-catenin nuclear staining in the tumour presented herein is consistent with this notion, supporting that different CTNNB1 variants have diverse biological characteristics and oncogenic ability [15]. And yet, the clonal nature of the somatic CTNNB1 mutation supports its role in this tumour. Of note, none of the reported WNT MBs with SHH pathway alterations harbour CTNNB1 S45 mutations [3, 5, 16]. In the report by Koch et al., a desmoplastic MB in an adult patient was found to have a PTCH1 variant and an activating S37C CTNNB1 variant [17]. However, the tumour was not molecularly classified as a WNT or as an SHH MB. In addition, the tumour reportedly showed a strong nuclear accumulation of β-catenin by immunohistochemistry, unlike the MB reported by our group, which supports a stronger CTNNB1 activating effect and WNT pathway signalling activation of codon 37 variants, compared with codon S45 alterations. Thus, the immunophenotype and transcriptional and epigenetic characteristics of the MB reported herein could be explained by the weakly activating effect of the CTNNB1 S45Y variant in conjunction with the homozygous PTCH1 deletion in this tumour.

The MAX R60Q mutation has been recurrently identified in many cancers, including SHH MB [16]. MAX is a transcription factor that serves as a partner for MYC. The R60 residue is a critical DNA and protein binding site and regulates the stability of the MAX homodimer complex [18, 19]. The R60Q variant disrupts MAX homodimerisation without affecting MYC/MAX heterodimerisation, resulting in upregulation of MYC [20].

In summary, we have presented an MB with a pathogenic CTNNB1 mutation that otherwise showed the histopathology, immunophenotype, and methylation and transcriptomic profiles of an SHH MB. Our illustrative example emphasises the diagnostic value of the immunohistochemistry panel with YAP1, GAB1, and β-catenin and DNA methylation profiling, combined with exome sequencing, in the characterisation of MB. CTNNB1 mutations are not specific for WNT MB, and different CTNNB1 mutations have diverse oncogenic potential.

Supplementary Material

fS1

Supplementary Fig. 1. Sequencing reads supporting the presence of CTNNB1 S45Y variant and demonstrating its allele frequency.

fS2

Supplementary Fig. 2. OTX2 Expression in the SHH-activated medulloblastoma with pathogenic CTNNB1 mutation is low and similar to other SHH-activated medulloblastomas (a) Normalised counts of mRNA expression in the tumour (Case) as well as WNT-activated, SHH-activated, group 3 (G3), and group 4 (G4) reference medulloblastomas (b) Integrative Genomics Viewer plot showing the low expression of OTX2 in the tumour.

Key Points.

  1. CTNNB1 mutations are not specific for WNT-activated medulloblastoma.

  2. Different CTNNB1 mutations have diverse oncogenic potential.

  3. Our illustrative example emphasises the diagnostic value of the immunohistochemistry panel with YAP1, GAB1, and β-catenin and DNA methylation profiling, combined with exome sequencing, in the characterisation of medulloblastoma.

Acknowledgements

This work is supported, in part, by NCI grant P30CA021765 and funding from American Lebanese Syrian Associated Charities (ALSAC).

Footnotes

Ethical statement

All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards. Consent has been obtained from the parents.

Conflict of Interest Statement

The authors declare no conflict of interest.

References

  • 1.Taylor MD, Northcott PA, Korshunov A, Remke M, Cho YJ, Clifford SC, Eberhart CG, Parsons DW, Rutkowski S, Gajjar A, Ellison DW, Lichter P, Gilbertson RJ, Pomeroy SL, Kool M, Pfister SM. Molecular subgroups of medulloblastoma: the current consensus. Acta Neuropathol 2012; 123: 465–72 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Ellison DW, Dalton J, Kocak M, Nicholson SL, Fraga C, Neale G, Kenney AM, Brat DJ, Perry A, Yong WH, Taylor RE, Bailey S, Clifford SC, Gilbertson RJ. Medulloblastoma: clinicopathological correlates of SHH, WNT, and non-SHH/WNT molecular subgroups. Acta Neuropathol 2011; 121: 381–96 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Iorgulescu JB, Van Ziffle J, Stevers M, Grenert JP, Bastian BC, Chavez L, Stichel D, Buchhalter I, Samuel D, Nicolaides T, Banerjee A, Mueller S, Gupta N, Tihan T, Bollen AW, Northcott PA, Kool M, Pfister S, Korshunov A, Perry A, Solomon DA. Deep sequencing of WNT-activated medulloblastomas reveals secondary SHH pathway activation. Acta Neuropathol 2018; 135: 635–8 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Helgager J, Pytel P, Vasudevaraja V, Lee EQ, Snuderl M, Iorgulescu JB, Ligon KL. WNT-Activated Medulloblastomas With Hybrid Molecular Subtypes. JCO Precis Oncol 2020; 4: [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Northcott PA, Buchhalter I, Morrissy AS, Hovestadt V, Weischenfeldt J, Ehrenberger T, Grobner S, Segura-Wang M, Zichner T, Rudneva VA, Warnatz HJ, Sidiropoulos N, Phillips AH, Schumacher S, Kleinheinz K, Waszak SM, Erkek S, Jones DTW, Worst BC, Kool M, Zapatka M, Jager N, Chavez L, Hutter B, Bieg M, Paramasivam N, Heinold M, Gu Z, Ishaque N, Jager-Schmidt C, Imbusch CD, Jugold A, Hubschmann D, Risch T, Amstislavskiy V, Gonzalez FGR, Weber UD, Wolf S, Robinson GW, Zhou X, Wu G, Finkelstein D, Liu Y, Cavalli FMG, Luu B, Ramaswamy V, Wu X, Koster J, Ryzhova M, Cho YJ, Pomeroy SL, Herold-Mende C, Schuhmann M, Ebinger M, Liau LM, Mora J, McLendon RE, Jabado N, Kumabe T, Chuah E, Ma Y, Moore RA, Mungall AJ, Mungall KL, Thiessen N, Tse K, Wong T, Jones SJM, Witt O, Milde T, Von Deimling A, Capper D, Korshunov A, Yaspo ML, Kriwacki R, Gajjar A, Zhang J, Beroukhim R, Fraenkel E, Korbel JO, Brors B, Schlesner M, Eils R, Marra MA, Pfister SM, Taylor MD, Lichter P. The whole-genome landscape of medulloblastoma subtypes. Nature 2017; 547: 311–7 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Ioannidis NM, Rothstein JH, Pejaver V, Middha S, McDonnell SK, Baheti S, Musolf A, Li Q, Holzinger E, Karyadi D, Cannon-Albright LA, Teerlink CC, Stanford JL, Isaacs WB, Xu J, Cooney KA, Lange EM, Schleutker J, Carpten JD, Powell IJ, Cussenot O, Cancel-Tassin G, Giles GG, MacInnis RJ, Maier C, Hsieh CL, Wiklund F, Catalona WJ, Foulkes WD, Mandal D, Eeles RA, Kote-Jarai Z, Bustamante CD, Schaid DJ, Hastie T, Ostrander EA, Bailey-Wilson JE, Radivojac P, Thibodeau SN, Whittemore AS, Sieh W. REVEL: An Ensemble Method for Predicting the Pathogenicity of Rare Missense Variants. Am J Hum Genet 2016; 99: 877–85 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Kircher M, Witten DM, Jain P, O’Roak BJ, Cooper GM, Shendure J. A general framework for estimating the relative pathogenicity of human genetic variants. Nat Genet 2014; 46: 310–5 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Kumar P, Henikoff S, Ng PC. Predicting the effects of coding non-synonymous variants on protein function using the SIFT algorithm. Nat Protoc 2009; 4: 1073–81 [DOI] [PubMed] [Google Scholar]
  • 9.Adzhubei IA, Schmidt S, Peshkin L, Ramensky VE, Gerasimova A, Bork P, Kondrashov AS, Sunyaev SR. A method and server for predicting damaging missense mutations. Nat Methods 2010; 7: 248–9 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Shihab HA, Gough J, Cooper DN, Stenson PD, Barker GL, Edwards KJ, Day IN, Gaunt TR. Predicting the functional, molecular, and phenotypic consequences of amino acid substitutions using hidden Markov models. Hum Mutat 2013; 34: 57–65 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Chun S, Fay JC. Identification of deleterious mutations within three human genomes. Genome Res 2009; 19: 1553–61 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Schwarz JM, Cooper DN, Schuelke M, Seelow D. MutationTaster2: mutation prediction for the deep-sequencing age. Nat Methods 2014; 11: 361–2 [DOI] [PubMed] [Google Scholar]
  • 13.Qiao Y, Xu M, Tao J, Che L, Cigliano A, Monga SP, Calvisi DF, Chen X. Oncogenic potential of N-terminal deletion and S45Y mutant beta-catenin in promoting hepatocellular carcinoma development in mice. BMC Cancer 2018; 18: 1093. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Tao J, Xu E, Zhao Y, Singh S, Li X, Couchy G, Chen X, Zucman-Rossi J, Chikina M, Monga SP. Modeling a human hepatocellular carcinoma subset in mice through coexpression of met and point-mutant beta-catenin. Hepatology 2016; 64: 1587–605 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Rebouissou S, Franconi A, Calderaro J, Letouze E, Imbeaud S, Pilati C, Nault JC, Couchy G, Laurent A, Balabaud C, Bioulac-Sage P, Zucman-Rossi J. Genotype-phenotype correlation of CTNNB1 mutations reveals different ss-catenin activity associated with liver tumor progression. Hepatology 2016; 64: 2047–61 [DOI] [PubMed] [Google Scholar]
  • 16.Skowron P, Farooq H, Cavalli FMG, Morrissy AS, Ly M, Hendrikse LD, Wang EY, Djambazian H, Zhu H, Mungall KL, Trinh QM, Zheng T, Dai S, Stucklin ASG, Vladoiu MC, Fong V, Holgado BL, Nor C, Wu X, Abd-Rabbo D, Berube P, Wang YC, Luu B, Suarez RA, Rastan A, Gillmor AH, Lee JJY, Zhang XY, Daniels C, Dirks P, Malkin D, Bouffet E, Tabori U, Loukides J, Doz FP, Bourdeaut F, Delattre OO, Masliah-Planchon J, Ayrault O, Kim SK, Meyronet D, Grajkowska WA, Carlotti CG, de Torres C, Mora J, Eberhart CG, Van Meir EG, Kumabe T, French PJ, Kros JM, Jabado N, Lach B, Pollack IF, Hamilton RL, Rao AAN, Giannini C, Olson JM, Bognar L, Klekner A, Zitterbart K, Phillips JJ, Thompson RC, Cooper MK, Rubin JB, Liau LM, Garami M, Hauser P, Li KKW, Ng HK, Poon WS, Yancey Gillespie G, Chan JA, Jung S, McLendon RE, Thompson EM, Zagzag D, Vibhakar R, Ra YS, Garre ML, Schuller U, Shofuda T, Faria CC, Lopez-Aguilar E, Zadeh G, Hui CC, Ramaswamy V, Bailey SD, Jones SJ, Mungall AJ, Moore RA, Calarco JA, Stein LD, Bader GD, Reimand J, Ragoussis J, Weiss WA, Marra MA, Suzuki H, Taylor MD. The transcriptional landscape of Shh medulloblastoma. Nat Commun 2021; 12: 1749. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Koch A, Waha A, Tonn JC, Sorensen N, Berthold F, Wolter M, Reifenberger J, Hartmann W, Friedl W, Reifenberger G, Wiestler OD, Pietsch T. Somatic mutations of WNT/wingless signaling pathway components in primitive neuroectodermal tumors. Int J Cancer 2001; 93: 445–9 [DOI] [PubMed] [Google Scholar]
  • 18.Ferre-D’Amare AR, Prendergast GC, Ziff EB, Burley SK. Recognition by Max of its cognate DNA through a dimeric b/HLH/Z domain. Nature 1993; 363: 38–45 [DOI] [PubMed] [Google Scholar]
  • 19.Dela Cruz FS, Diolaiti D, Turk AT, Rainey AR, Ambesi-Impiombato A, Andrews SJ, Mansukhani MM, Nagy PL, Alvarez MJ, Califano A, Forouhar F, Modzelewski B, Mitchell CM, Yamashiro DJ, Marks LJ, Glade Bender JL, Kung AL. A case study of an integrative genomic and experimental therapeutic approach for rare tumors: identification of vulnerabilities in a pediatric poorly differentiated carcinoma. Genome Med 2016; 8: 116. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Comino-Mendez I, Leandro-Garcia LJ, Montoya G, Inglada-Perez L, de Cubas AA, Curras-Freixes M, Tysoe C, Izatt L, Leton R, Gomez-Grana A, Mancikova V, Apellaniz-Ruiz M, Mannelli M, Schiavi F, Favier J, Gimenez-Roqueplo AP, Timmers HJ, Roncador G, Garcia JF, Rodriguez-Antona C, Robledo M, Cascon A. Functional and in silico assessment of MAX variants of unknown significance. J Mol Med (Berl) 2015; 93: 1247–55 [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

fS1

Supplementary Fig. 1. Sequencing reads supporting the presence of CTNNB1 S45Y variant and demonstrating its allele frequency.

fS2

Supplementary Fig. 2. OTX2 Expression in the SHH-activated medulloblastoma with pathogenic CTNNB1 mutation is low and similar to other SHH-activated medulloblastomas (a) Normalised counts of mRNA expression in the tumour (Case) as well as WNT-activated, SHH-activated, group 3 (G3), and group 4 (G4) reference medulloblastomas (b) Integrative Genomics Viewer plot showing the low expression of OTX2 in the tumour.

RESOURCES