Abstract
Medulloblastoma, a common malignant brain tumor in children, comprises four molecular subgroups WNT, SHH, Group 3, and Group 4. In the present study, we performed a deep proteome-based investigation of SHH, Group 3 and Group 4 tumors. The adult SHH medulloblastomas were found to have a distinct proteomic profile. Several RNA metabolism-related pathways including mRNA splicing, 5′ to 3′ RNA decay, 3′ to 5′ RNA decay by the RNA exosome, and the N6-methyladenosine modification of RNA were enriched in adult SHH tumors. The heightened expression of the RNA surveillance pathways is likely to be essential for the viability of adult SHH subgroup medulloblastomas, which carry mutations in U1snRNA encoding gene and thus could be a vulnerability of these tumors. Group 3 and Group 4 medulloblastomas, on the other hand, are known to have an overlap in their expression profiles and underlying genetic alterations. Group 3 proteome was found to be distinctively enriched in several metabolic pathways including glycolysis, gluconeogenesis, glutamine anabolism, glutathione-mediated anti-oxidant pathway, and drug metabolism pathway suggests that the extensive metabolic rewiring is likely to be responsible for the aggressive clinical behavior of Group 3 tumors. This comprehensive proteomic analysis has provided valuable insight into the biology of Group 3 and adult SHH medulloblastomas, which could be further explored for effective treatment of these tumors.
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References
Northcott PA, Robinson GW, Kratz CP et al (2019) Medulloblastoma. Nat Rev Dis Primers 5:11. https://doi.org/10.1038/s41572-019-0063-6
Taylor MD, Northcott PA, Korshunov A et al (2012) Molecular subgroups of medulloblastoma: the current consensus. Acta Neuropathol 123:465–472. https://doi.org/10.1007/s00401-011-0922-z
Northcott PA, Buchhalter I, Morrissy AS et al (2017) The whole-genome landscape of medulloblastoma subtypes. Nature 547:311–317. https://doi.org/10.1038/nature22973
Northcott PA, Hielscher T, Dubuc A et al (2011) Pediatric and adult sonic hedgehog medulloblastomas are clinically and molecularly distinct. Acta Neuropathol 122:231–240. https://doi.org/10.1007/s00401-011-0846-7
Remke M, Ramaswamy V, Peacock J et al (2013) TERT promoter mutations are highly recurrent in SHH subgroup medulloblastoma. Acta Neuropathol 126:917–929. https://doi.org/10.1007/s00401-013-1198-2
Suzuki H, Kumar SA, Shuai S et al (2019) Recurrent noncoding U1 snRNA mutations drive cryptic splicing in SHH medulloblastoma. Nature 574:707–711. https://doi.org/10.1038/s41586-019-1650-0
Kool M, Korshunov A, Remke M et al (2012) Molecular subgroups of medulloblastoma: an international meta-analysis of transcriptome, genetic aberrations, and clinical data of WNT, SHH, Group 3, and Group 4 medulloblastomas. Acta Neuropathol 123:473–484. https://doi.org/10.1007/s00401-012-0958-8
Huang K, Li S, Mertins P et al (2017) Proteogenomic integration reveals therapeutic targets in breast cancer xenografts. Nat Commun 8:14864. https://doi.org/10.1038/ncomms14864
Scopes RK (1974) Measurement of protein by spectrophotometry at 205 nm. Anal Biochem 59:277–282. https://doi.org/10.1016/0003-2697(74)90034-7
Archer TC, Ehrenberger T, Mundt F et al (2018) Proteomics, post-translational modifications, and integrative analyses reveal molecular heterogeneity within medulloblastoma subgroups. Cancer Cell 34:396-410.e8. https://doi.org/10.1016/j.ccell.2018.08.004
Coscia F, Watters KM, Curtis M et al (2016) Integrative proteomic profiling of ovarian cancer cell lines reveals precursor cell associated proteins and functional status. Nat Commun 7:12645. https://doi.org/10.1038/ncomms12645
Wilkinson ME, Charenton C, Nagai K (2020) RNA Splicing by the Spliceosome. Annu Rev Biochem 89:359–388. https://doi.org/10.1146/annurev-biochem-091719-064225
Kunder R, Jalali R, Sridhar E et al (2013) Real-time PCR assay based on the differential expression of microRNAs and protein-coding genes for molecular classification of formalin-fixed paraffin embedded medulloblastomas. Neuro Oncol 15:1644–1651. https://doi.org/10.1093/neuonc/not123
Laffleur B, Basu U (2019) Biology of RNA surveillance in development and disease. Trends Cell Biol 29:428–445. https://doi.org/10.1016/j.tcb.2019.01.004
Tharun S (2008) Chapter 4 Roles of eukaryotic Lsm proteins in the regulation of mRNA function. Int Rev Cell Mol Biol. https://doi.org/10.1016/S1937-6448(08)01604-3
Kilchert C, Wittmann S, Vasiljeva L (2016) The regulation and functions of the nuclear RNA exosome complex. Nat Rev Mol Cell Biol 17:227–239. https://doi.org/10.1038/nrm.2015.15
Meyer KD, Jaffrey SR (2017) Rethinking m6A Readers, Writers, and Erasers. Annu Rev Cell Dev Biol 33:319–342. https://doi.org/10.1146/annurev-cellbio-100616-060758
Northcott PA, Dubuc AM, Pfister S, Taylor MD (2012) Molecular subgroups of medulloblastoma. Expert Rev Neurother 12:871–884. https://doi.org/10.1586/ern.12.66
Kool M, Jones DTW, Jäger N et al (2014) Genome sequencing of SHH medulloblastoma predicts genotype-related response to smoothened inhibition. Cancer Cell 25:393–405. https://doi.org/10.1016/j.ccr.2014.02.004
Zheng J (2012) Energy metabolism of cancer: Glycolysis versus oxidative phosphorylation (Review). Oncol Lett 4:1151–1157. https://doi.org/10.3892/ol.2012.928
Wang Z, Dong C (2019) Gluconeogenesis in cancer: function and regulation of PEPCK, FBPase, and G6Pase. Trends Cancer 5:30–45. https://doi.org/10.1016/j.trecan.2018.11.003
Grasmann G, Smolle E, Olschewski H, Leithner K (2019) Gluconeogenesis in cancer cells—repurposing of a starvation-induced metabolic pathway? Biochim Biophys Acta Rev Cancer 1872:24–36. https://doi.org/10.1016/j.bbcan.2019.05.006
Bott A, Maimouni S, Zong W-X (2019) The pleiotropic effects of glutamine metabolism in cancer. Cancers 11:770. https://doi.org/10.3390/cancers11060770
Zaidi N, Swinnen JV, Smans K (2012) ATP-Citrate lyase: a key player in cancer metabolism. Can Res 72:3709–3714. https://doi.org/10.1158/0008-5472.CAN-11-4112
Moreno-Felici J, Hyroššová P, Aragó M et al (2019) Phosphoenolpyruvate from glycolysis and PEPCK regulate cancer cell fate by altering cytosolic Ca2+. Cells 9:18. https://doi.org/10.3390/cells9010018
Monteith GR, Prevarskaya N, Roberts-Thomson SJ (2017) The calcium—cancer signalling nexus. Nat Rev Cancer 17:373–380. https://doi.org/10.1038/nrc.2017.18
Zhao J, Li J, Fan TWM, Hou SX (2017) Glycolytic reprogramming through PCK2 regulates tumor initiation of prostate cancer cells. Oncotarget 8:83602–83618. https://doi.org/10.18632/oncotarget.18787
Acknowledgements
We would like to acknowledge Uchhatar Avishkar Yojana (UAY-(MHRD), project #34_IITB (2016) to SS, and University Grants Commission fellowship to MKP. MASSFIITB (Mass Spectrometry Facility, IIT Bombay) supported by Department of Biotechnology (BT/PR13114/INF/22/206/2015) for MS-based proteomics work is gratefully acknowledged.
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MKP, NS, and SS designed the study. MKP performed the experiments. The data analysis was done by AK, MKP, and NS. DB performed the gene enrichment analysis and visualization. The surgery and pathology of the tumors were done by AM, PS, TG & ES.
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The current study was approved by the Institute Ethics Committee of Tata Memorial hospital (Project number 197) and Indian Institute of Technology Bombay (Project number 018).
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KP, M., Kumar, A., Biswas, D. et al. The proteomic analysis shows enrichment of RNA surveillance pathways in adult SHH and extensive metabolic reprogramming in Group 3 medulloblastomas. Brain Tumor Pathol 38, 96–108 (2021). https://doi.org/10.1007/s10014-020-00391-x
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DOI: https://doi.org/10.1007/s10014-020-00391-x