Abstract
Astrocytoma is the most common type of primary brain tumor. The risk factors for astrocytoma are poorly understood; however, germline genetic variants account for 25% of the risk of developing gliomas. In this study, we assessed the risk of astrocytoma associated with variants in AGT, known by its role in angiogenesis, TP53, a well-known tumor suppressor and the DNA repair gene MGMT in a Mexican population. A case–control study was performed in 49 adult Mexican patients with grade II–IV astrocytoma. Sequencing of exons and untranslated regions of AGT, MGMT, and TP53 from was carried in an Ion Torrent platform. Individuals with Mexican Ancestry from the 1000 Genomes Project were used as controls. Variants found in our cohort were then assessed in a The Cancer Genome Atlas astrocytoma pan-ethnic validation cohort. Variants rs1926723 located in AGT (OR 2.74, 1.40–5.36 95% CI), rs7896488 in MGMT (OR 3.43, 1.17–10.10 95% CI), and rs4968187 in TP53 (OR 2.48, 1.26–4.88 95% CI) were significantly associated with the risk of astrocytoma after multiple-testing correction. This is the first study where the AGT rs1926723 variant, TP53 rs4968187, and MGMT rs7896488 were found to be associated with the risk of developing an astrocytoma.
Similar content being viewed by others
Data Availability
The VCF files from Mexican patients can be accessed in Zenodo (https://zenodo.org/). Identifier: https://doi.org/10.5281/zenodo.3737200.
References
Aragon TJ (2017) Epitools: epidemiology tools. https://cran.r-project.org/package=epitools
Arrieta O, Pineda-Olvera B, Guevara-Salazar P, Hernández-Pedro N, Morales-Espinosa D, Cerón-Lizarraga TL, González-De la Rosa CH, Rembao D, Segura-Pacheco B, Sotelo J (2008) Expression of AT1 and AT2 angiotensin receptors in astrocytomas is associated with poor prognosis. Br J Cancer 99(1):160–166. https://doi.org/10.1038/sj.bjc.6604431
Bouquet C, Lamandé N, Brand M, Gasc JM, Jullienne B, Faure G, Griscelli F, Opolon P, Connault E, Perricaudet M, Corvol P (2006) Suppression of angiogenesis, tumor growth, and metastasis by adenovirus-mediated gene transfer of human angiotensinogen. Mol Ther 14(2):175–182. https://doi.org/10.1016/J.YMTHE.2006.01.017
Cardona AF, Rojas L, Wills B, Behaine J, Jiménez E, Hakim F, Useche N, Bermúdez S, Arrieta O, Mejía JA, Ramón JF (2016) Genotyping low-grade gliomas among Hispanics. Neuro-Oncol Pract 3(3):164–172. https://doi.org/10.1093/nop/npv061
Célérier J, Cruz A, Lamandé N, Gasc J-M, Corvol P (2002) Angiotensinogen and its cleaved derivatives inhibit angiogenesis. Hypertension 39(2):224–228. https://doi.org/10.1161/hy0202.103441
Ellis KL, Palmer BR, Frampton CM, Troughton RW, Doughty RN, Whalley GA, Ellis CJ, Pilbrow AP, Skelton L, Yandle TG, Richards AM (2013) Genetic variation in the renin-angiotensin-aldosterone system is associated with cardiovascular risk factors and early mortality in established coronary heart disease. J Hum Hypertens 27(4):237–244. https://doi.org/10.1038/jhh.2012.24
Felini MJ, Olshan AF, Schroeder JC, North KE, Carozza SE, Kelsey KT, Liu M, Rice T, Wiencke JK, Wrensch MR (2007) DNA repair Polymorphisms XRCC1 and MGMT and risk of adult gliomas. Neuroepidemiology 29(1–2):55–58. https://doi.org/10.1159/000108919
Fyhrquist F, Saijonmaa O (2008) Renin-angiotensin system revisited. J Intern Med 264(3):224–236. https://doi.org/10.1111/j.1365-2796.2008.01981.x
Graffelman J (2015) Exploring diallelic genetic markers: The HardyWeinberg package. J Stat Softw 64(3):1–23. https://doi.org/10.18637/jss.v064.i03
Jha P, Jha P, Pathak P, Chosdol K, Suri V, Sharma MC, Kumar G, Singh M, Mahapatra AK, Sarkar C (2011) TP53 polymorphisms in gliomas from Indian patients: Study of codon 72 genotype, rs1642785, rs1800370 and 16 base pair insertion in intron-3. Exp Mol Pathol 90(2):167–172. https://doi.org/10.1016/j.yexmp.2010.11.002
Juillerat-Jeanneret L, Celerier J, Bernasconi CC, Nguyen G, Wostl W, Maerki HP, Janzer RC, Corvol P, Gasc JM (2004) Renin and angiotensinogen expression and functions in growth and apoptosis of human glioblastoma. Br J Cancer 90(5):1059–1068. https://doi.org/10.1038/sj.bjc.6601646
Karczewski KJ, Francioli LC, Tiao G, Cummings BB, Alföldi J, Wang Q, Collins RL, Laricchia KM, Ganna A, Birnbaum DP, Gauthier LD (2019) Variation across 141,456 human exomes and genomes reveals the spectrum of loss-of-function intolerance across human protein-coding genes. BioRxiv. https://doi.org/10.1101/531210
Kinnersley B, Mitchell JS, Gousias K, Schramm J, Idbaih A, Labussière M, Marie Y, Rahimian A, Wichmann HE, Schreiber S, Hoang-Xuan K (2015) Quantifying the heritability of glioma using genome-wide complex trait analysis. Sci Rep 5(1):17267. https://doi.org/10.1038/srep17267
Kuroiwa-Trzmielina J, Wang F, Rapkins RW, Ward RL, Buchanan DD, Win AK, Clendenning M, Rosty C, Southey MC, Winship IM, Hopper JL (2016) SNP rs16906252C>T is an expression and methylation quantitative trait locus associated with an increased risk of developing MGMT-methylated colorectal cancer. Clin Cancer Res 22(24):6266–6277. https://doi.org/10.1158/1078-0432.CCR-15-2765
Lewis CM (2002) Genetic association studies: design, analysis and interpretation. Brief Bioinform 3(2):146–153. https://doi.org/10.1093/bib/3.2.146
Little J, Higgins JP, Ioannidis JP, Moher D, Gagnon F, Von Elm E, Khoury MJ, Cohen B, Davey-Smith G, Grimshaw J, Scheet P (2009) STrengthening the REporting of Genetic Association Studies (STREGA)-an extension of the STROBE statement. Genet Epidemiol 33(7):581–598. https://doi.org/10.1002/gepi.20410
Liu Y, Scheurer ME, El-Zein R, Cao Y, Do KA, Gilbert M, Aldape KD, Wei Q, Etzel C, Bondy ML (2009) Association and interactions between DNA repair gene polymorphisms and adult glioma. Cancer Epidemiol Biomark Prev 18(1):204–214. https://doi.org/10.1158/1055-9965.EPI-08-0632
Louis DN, Ohgaki H, Wiestler OD, Cavenee WK, Burger PC, Jouvet A, Scheithauer BW, Kleihues P (2007) The 2007 WHO classification of tumours of the central nervous system. Acta Neuropathol 114(2):97–109. https://doi.org/10.1007/s00401-007-0243-4
Louis DN, Perry A, Reifenberger G, Von Deimling A, Figarella-Branger D, Cavenee WK, Ohgaki H, Wiestler OD, Kleihues P, Ellison DW (2016) The 2016 World Health Organization classification of tumors of the central nervous system: a summary. Acta Neuropathol 131(6):803–820. https://doi.org/10.1007/s00401-016-1545-1
Lu H, Wu C, Howatt DA, Balakrishnan A, Moorleghen JJ, Chen X, Zhao M, Graham MJ, Mullick AE, Crooke RM, Feldman DL (2016) Angiotensinogen exerts effects independent of angiotensin II. Arterioscler Thromb Vasc Biol 36(2):256–265. https://doi.org/10.1161/ATVBAHA.115.306740
Macedo GS, Vieira IA, Brandalize AP, Giacomazzi J, Palmero EI, Volc S, Paixão-Côrtes VR, Caleffi M, Alves MS, Achatz MI, Hainaut P (2016) Rare germline variant (rs78378222) in the TP53 3’ UTR: Evidence for a new mechanism of cancer predisposition in Li-Fraumeni syndrome. Cancer Genet 209(3):97–106. https://doi.org/10.1016/j.cancergen.2015.12.012
Malmer B, Adatto P, Armstrong G, Barnholtz-Sloan J, Bernstein JL, Claus E, Davis F, Houlston R, Il'yasova D, Jenkins R, Johansen C (2007) GLIOGENE - An international consortium to understand familial glioma. Cancer Epidemiol Biomark Prev 16(9):1730–1734. https://doi.org/10.1158/1055-9965.EPI-07-0081
Ostrom QT, Gittleman H, Stetson L, Virk S, Barnholtz-Sloan JS (2018a) Epidemiology of intracranial gliomas. Prog Neurol Surg. https://doi.org/10.1159/000464374
Ostrom QT, Gittleman H, Truitt G, Boscia A, Kruchko C, Barnholtz-sloan JS (2018b) Neuro-Oncology CBTRUS statistical report: Primary brain and other central nervous system tumors diagnosed in the United States in 2011–2015. Neuro-Oncology 20(Suppl 4):1–86. https://doi.org/10.1093/neuonc/noy131
Padma G, Bhupatiraju C, Srinivas B, Padma T (2013) High risk for essential hypertension in males conferred by g.15241A>G polymorphism in intron 3 of AGT gene. Clin Exp Hypertens 35(2):108–111. https://doi.org/10.3109/10641963.2012.702828
Patel AP, Fisher JL, Nichols E, Abd-Allah F, Abdela J, Abdelalim A, Abraha HN, Agius D, Alahdab F, Alam T, Allen CA (2019) Global, regional, and national burden of brain and other CNS cancer, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016. Lancet Neurol 18(4):376–393. https://doi.org/10.1016/S1474-4422(18)30468-X
Pegg AE (1990) Properties of mammalian O6-alkylguanine-DNA transferases. Mutat Res 233(1–2):165–175. https://doi.org/10.1016/0027-5107(90)90160-6
Perdomo-Pantoja A, Mejía-Pérez SI, Reynoso-Noverón N, Gómez-Flores-Ramos L, Soto-Reyes E, Sánchez-Correa TE, Guerra-Calderas L, Castro-Hernandez C, Vidal-Millán S, Sanchez-Corona J, Taja-Chayeb L (2018) Angiotensinogen rs5050 germline genetic variant as potential biomarker of poor prognosis in astrocytoma. PLoS ONE 13(11):e0206590. https://doi.org/10.1371/journal.pone.0206590
Purkait S, Miller CA, Kumar A, Sharma V, Pathak P, Jha P, Sharma MC, Suri V, Suri A, Sharma BS, Fulton R (2016) ATRX in diffuse gliomas with its mosaic/heterogeneous expression in a subset. Brain Pathol 27(2):138–145. https://doi.org/10.1111/bpa.12364
Rapkins RW, Wang F, Nguyen HN, Cloughesy TF, Lai A, Ha W, Nowak AK, Hitchins MP, McDonald KL (2015) The MGMT promoter SNP rs16906252 is a risk factor for MGMT methylation in glioblastoma and is predictive of response to temozolomide. Neuro-Oncology 17(12):1589–1598. https://doi.org/10.1093/neuonc/nov064
Ricaurte O, Neita K, Valero D, Ortega-Rojas J, Arboleda-Bustos CE, Zubieta C, Penagos J, Arboleda G (2017) Estudio de mutaciones en los genes IDH1 e IDH2 en una muestra de gliomas de población colombiana. Biomédica 38:93–99. https://doi.org/10.7705/biomedica.v38i0.3708
Sheng Z, Kang M, Wang H (2018) The potential role of MGMT rs12917 polymorphism in cancer risk: an updated pooling analysis with 21010 cases and 34018 controls. Biosci Rep. https://doi.org/10.1042/BSR20180942
Siegel RL, Miller KD, Jemal A (2016) Cancer statistics, 2016. CA 66(1):7–30. https://doi.org/10.3322/caac.21332
Spratt DE, Chan T, Waldron L, Speers C, Feng FY, Ogunwobi OO, Osborne JR (2016) Racial/ethnic disparities in genomic sequencing. JAMA Oncol 2(8):E1–E5. https://doi.org/10.1001/jamaoncol.2016.1854
Stadler ZK, Thom P, Robson ME, Weitzel JN, Kauff ND, Hurley KE, Offit K (2010) Genome-wide association studies of cancer. J Clin Oncol 28(27):4255–4267. https://doi.org/10.1200/JCO.2009.25.7816
Tan DC, Roth IM, Wickremesekera AC, Davis PF, Kaye AH, Mantamadiotis T, Stylli SS, Tan ST (2019) Therapeutic targeting of cancer stem cells in human glioblastoma by manipulating the renin-angiotensin system. Cells 8(11):1364. https://doi.org/10.3390/cells8111364
The 1000 Genomes Project Consortium (2015) A global reference for human genetic variation. Nature 526(7571):68–74. https://doi.org/10.1038/nature15393
Vincent F, Bonnin P, Clemessy M, Contreres JO, Lamandé N, Gasc JM, Vilar J, Hainaud P, Tobelem G, Corvol P, Dupuy E (2009) Angiotensinogen delays angiogenesis and tumor growth of hepatocarcinoma in transgenic mice. Cancer Res 69(7):2853–2860. https://doi.org/10.1158/0008-5472.CAN-08-2484
Wang K, Li M, Hakonarson H (2010) ANNOVAR: functional annotation of genetic variants from high-throughput sequencing data. Nucleic Acids Res 38(16):e164–e164. https://doi.org/10.1093/nar/gkq603
Wang Y, Wu X-S, He J, Ma T, Lei W, Shen Z-Y (2016) A novel TP53 variant (rs78378222 A>C) in the polyadenylation signal is associated with increased cancer susceptibility: evidence from a meta-analysis. Oncotarget 7(22):32854–32865. https://doi.org/10.18632/oncotarget.9056
Wang Z, Rajaraman P, Melin BS, Chung CC, Zhang W, McKean-Cowdin R, Michaud D, Yeager M, Ahlbom A, Albanes D (2015) Further confirmation of germline glioma risk variant rs78378222 in TP53 and its implication in tumor tissues via integrative analysis of TCGA data. Hum Mutat 36(7):684–688. https://doi.org/10.1002/humu.22799
Wegman-Ostrosky T, Reynoso-Noverón N, Mejía-Pérez SI, Sánchez-Correa TE, Alvarez-Gómez RM, Vidal-Millán S, Cacho-Díaz B, Sánchez-Corona J, Herrera-Montalvo LA, Corona-Vázquez T (2016) Clinical prognostic factors in adults with astrocytoma: Historic cohort. Clin Neurol Neurosurg 146:116–122. https://doi.org/10.1016/j.clineuro.2016.05.002
Wegman-Ostrosky T, Soto-Reyes E, Vidal-Millán S, Sánchez-Corona J (2015) The renin-angiotensin system meets the hallmarks of cancer. JRAAS 16(2):227–233. https://doi.org/10.1177/1470320313496858
Yin A, Zhang L, Cheng J, Dong Y, Liu B, Han N, Zhang X (2014) The predictive but not prognostic value of MGMT promoter methylation status in elderly glioblastoma patients: a meta-analysis. PLoS ONE 9(1):e85102. https://doi.org/10.1371/journal.pone.0085102
Zhang J, Liu J, Chen J, Li X, Wu Y, Chen H, Wu W, Zhang K, Gu L (2015) Angiotensin receptor blockers (ARBs) reduce the risk of lung cancer: a systematic review and meta-analysis. Int J Clin Exp Med 8(8):12656–12660
Zhao YH, Wang ZF, Cao CJ, Weng H, Xu CS, Li K, Li JL, Lan J, Zeng XT, Li ZQ (2018) The clinical significance of O6-methylguanine-DNA methyltransferase promoter methylation status in adult patients with glioblastoma: a meta-analysis. Front Neurol 9:127. https://doi.org/10.3389/fneur.2018.00127
Acknowledgements
We thank Patricia Rosas, Laura Márquez, and Patricia de la Torre for their contributions in the project.
Funding
This study was funded by Consejo Nacional de Ciencia y Tecnología (CONACyT), Mexico (Salud-2013-01-202720 to TWO, Scholarship number 969754 to JACE).
Author information
Authors and Affiliations
Contributions
SIMP, APP, NRN, SVM, TWO, and POW involved in conceptualization of the study. TWO, BCD, and POW designed the study. XB, KCA, QC, SIMP, APP, TESC, TWO, JACE, JLGA, TC, and DM contributed to data acquisition and processing. ESR, RGB, POW, TESC, LSG, SVM, LTC, OG, RMAG performed data validation. JACE, LGFR, and TWO participated in statistical analysis. LGFR and TWO contributed to validation of results. All authors interpreted the results and involved in reviewing and editing. JACE and TWO involved in writing of the manuscript..
Corresponding author
Ethics declarations
Conflict of interest
The authors do not have any competing interests to declare.
Ethical Approval
This study was performed in line with principles of the Declaration of Helsinki. Approval was granted by the Research Board of the Instituto Nacional de Neurología y Neurocirugía (No 67/12).
Informed Consent
Informed consent was obtained from all individual participants included in the study.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Electronic supplementary material
Below is the link to the electronic supplementary material.
Rights and permissions
About this article
Cite this article
Carlos-Escalante, J.A., Gómez-Flores-Ramos, L., Bian, X. et al. Landscape of Germline Genetic Variants in AGT, MGMT, and TP53 in Mexican Adult Patients with Astrocytoma. Cell Mol Neurobiol 41, 1285–1297 (2021). https://doi.org/10.1007/s10571-020-00901-7
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10571-020-00901-7