Abstract
Background
Risk factors for meningioma include female gender, African American race, high body mass index (BMI), and exposure to ionizing radiation. Although genome-wide association studies (GWAS) have identified two nuclear genome risk loci for meningioma (rs12770228 and rs2686876), the relation between mitochondrial DNA (mtDNA) sequence variants and meningioma is unknown.
Methods
We examined the association of 42 common germline mtDNA variants (minor allele frequency ≥ 5%), haplogroups, and genes with meningioma in 1080 controls and 478 meningioma cases from a case–control study conducted at medical centers in the southeastern United States. Associations were examined separately for meningioma overall and by WHO grade (n = 409 grade I and n = 69 grade II/III).
Results
Overall, meningioma was significantly associated with being female (OR 2.85; 95% CI 2.21–3.69), self-reported African American race (OR 2.38, 95% CI 1.41–3.99), and being overweight (OR 1.48; 95% CI 1.11–1.97) or obese (OR 1.70; 95% CI 1.25–2.31). The variant m.16362T > C (rs62581341) in the mitochondrial control region was positively associated with grade II/III meningiomas (OR 2.33; 95% CI 1.14–4.77), but not grade I tumors (OR 0.99; 95% CI 0.64–1.53). Haplogroup L, a marker for African ancestry, was associated with meningioma overall (OR 2.92; 95% CI 1.01–8.44). However, after stratifying by self-reported race, this association was only apparent among the few self-reported Caucasians with this haplogroup (OR 6.35; 95% CI 1.56–25.9). No other mtDNA variant, haplogroup, or gene was associated with meningioma.
Conclusion
Common mtDNA variants and major mtDNA haplogroups do not appear to have associations with the odds of developing meningioma.
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Data availability
Data will be made available upon request.
Code availability
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References
Ostrom QT, Patil N, Cioffi G, Waite K, Kruchko C, Barnholtz-Sloan JS (2020) CBTRUS statistical report: primary brain and other central nervous system tumors diagnosed in the United States in 2013–2017. Neuro Oncol 22(12 Suppl 2):iv1–iv96. https://doi.org/10.1093/neuonc/noaa200
Kshettry VR, Ostrom QT, Kruchko C, Al-Mefty O, Barnett GH, Barnholtz-Sloan JS (2015) Descriptive epidemiology of World Health Organization grades II and III intracranial meningiomas in the United States. Neuro Oncol 17(8):1166–1173. https://doi.org/10.1093/neuonc/nov069
Buerki RA, Horbinski CM, Kruser T, Horowitz PM, James CD, Lukas RV (2018) An overview of meningiomas. Future Oncol 14(21):2161–2177. https://doi.org/10.2217/fon-2018-0006
Walsh KM (2020) Epidemiology of meningiomas. Handb Clin Neurol 169:3–15. https://doi.org/10.1016/B978-0-12-804280-9.00001-9
Niedermaier T, Behrens G, Schmid D, Schlecht I, Fischer B, Leitzmann MF (2015) Body mass index, physical activity, and risk of adult meningioma and glioma: a meta-analysis. Neurology 85(15):1342–1350. https://doi.org/10.1212/WNL.0000000000002020
Muskens IS, Wu AH, Porcel J et al (2019) Body mass index, comorbidities, and hormonal factors in relation to meningioma in an ethnically diverse population: the Multiethnic Cohort. Neuro Oncol 21(4):498–507. https://doi.org/10.1093/neuonc/noz005
Wiedmann M, Brunborg C, Lindemann K et al (2013) Body mass index and the risk of meningioma, glioma and schwannoma in a large prospective cohort study (The HUNT Study). Br J Cancer 109(1):289–294. https://doi.org/10.1038/bjc.2013.304
Michaud DS, Bove G, Gallo V et al (2011) Anthropometric measures, physical activity, and risk of glioma and meningioma in a large prospective cohort study. Cancer Prev Res (Phila) 4(9):1385–1392. https://doi.org/10.1158/1940-6207.CAPR-11-0014
Wiemels J, Wrensch M, Claus EB (2010) Epidemiology and etiology of meningioma. J Neurooncol 99(3):307–314. https://doi.org/10.1007/s11060-010-0386-3
Brenner AV, Sugiyama H, Preston DL et al (2020) Radiation risk of central nervous system tumors in the Life Span Study of atomic bomb survivors, 1958–2009. Eur J Epidemiol 35(6):591–600. https://doi.org/10.1007/s10654-019-00599-y
Kok JL, Teepen JC, van Leeuwen FE et al (2019) Risk of benign meningioma after childhood cancer in the DCOG-LATER cohort: contributions of radiation dose, exposed cranial volume, and age. Neuro Oncol 21(3):392–403. https://doi.org/10.1093/neuonc/noy124
Dobbins SE, Broderick P, Melin B et al (2011) Common variation at 10p12.31 near MLLT10 influences meningioma risk. Nat Genet 43(9):825–827. https://doi.org/10.1038/ng.879
Egan KM, Baskin R, Nabors LB et al (2015) Brain tumor risk according to germ-line variation in the MLLT10 locus. Eur J Hum Genet 23(1):132–134. https://doi.org/10.1038/ejhg.2014.70
Claus EB, Cornish AJ, Broderick P et al (2018) Genome-wide association analysis identifies a meningioma risk locus at 11p15.5. Neuro Oncol 20(11):1485–1493. https://doi.org/10.1093/neuonc/noy077
Yeung KY, Dickinson A, Donoghue JF et al (2014) The identification of mitochondrial DNA variants in glioblastoma multiforme. Acta Neuropathol Commun 2:1. https://doi.org/10.1186/2051-5960-2-1
Dong J, Wong LJ, Mims MP (2018) Mitochondrial inheritance and cancer. Transl Res 202:24–34. https://doi.org/10.1016/j.trsl.2018.06.004
Strickland M, Stoll EA (2017) Metabolic reprogramming in glioma. Front Cell Dev Biol 5:43. https://doi.org/10.3389/fcell.2017.00043
Garofano L, Migliozzi S, Oh YT et al (2021) Pathway-based classification of glioblastoma uncovers a mitochondrial subtype with therapeutic vulnerabilities. Nat Cancer 2(2):141–156. https://doi.org/10.1038/s43018-020-00159-4
Gorelick AN, Kim M, Chatila WK et al (2021) Respiratory complex and tissue lineage drive recurrent mutations in tumour mtDNA. Nat Metab 3(4):558–570. https://doi.org/10.1038/s42255-021-00378-8
Yuan Y, Ju YS, Kim Y et al (2020) Comprehensive molecular characterization of mitochondrial genomes in human cancers. Nat Genet 52(3):342–352. https://doi.org/10.1038/s41588-019-0557-x
Czarnecka AM, Krawczyk T, Zdrozny M et al (2010) Mitochondrial NADH-dehydrogenase subunit 3 (ND3) polymorphism (A10398G) and sporadic breast cancer in Poland. Breast Cancer Res Treat 121(2):511–518. https://doi.org/10.1007/s10549-009-0358-5
Ding C, Li R, Wang P, Jin P, Li S, Guo Z (2012) Identification of sequence polymorphisms in the D-loop region of mitochondrial DNA as a risk factor for lung cancer. Mitochondrial DNA 23(4):251–254. https://doi.org/10.3109/19401736.2012.674120
Jin EH, Sung JK, Lee SI, Hong JH (2018) Mitochondrial NADH dehydrogenase subunit 3 (MTND3) polymorphisms are associated with gastric cancer susceptibility. Int J Med Sci 15(12):1329–1333. https://doi.org/10.7150/ijms.26881
Errichiello E, Venesio T (2017) Mitochondrial DNA variants in colorectal carcinogenesis: drivers or passengers? J Cancer Res Clin Oncol 143(10):1905–1914. https://doi.org/10.1007/s00432-017-2418-2
Lam ET, Bracci PM, Holly EA et al (2012) Mitochondrial DNA sequence variation and risk of pancreatic cancer. Cancer Res 72(3):686–695. https://doi.org/10.1158/0008-5472.CAN-11-1682
Liu S, Shi S, Li Y, Kong D (2016) Identification of sequence nucleotide polymorphisms in the D-loop region of mitochondrial DNA as a risk factor for epithelial ovarian cancer. Mitochondrial DNA A DNA Mapp Seq Anal 27(1):9–11. https://doi.org/10.3109/19401736.2013.867435
van Oven M, Kayser M (2009) Updated comprehensive phylogenetic tree of global human mitochondrial DNA variation. Hum Mutat 30(2):E386–E394. https://doi.org/10.1002/humu.20921
Kloss-Brandstatter A, Pacher D, Schonherr S et al (2011) HaploGrep: a fast and reliable algorithm for automatic classification of mitochondrial DNA haplogroups. Hum Mutat 32(1):25–32. https://doi.org/10.1002/humu.21382
Mukherjee S, Biswas D, Epari S et al (2021) Comprehensive proteomic analysis reveals distinct functional modules associated with skull base and supratentorial meningiomas and perturbations in collagen pathway components. J Proteomics 246:104303. https://doi.org/10.1016/j.jprot.2021.104303
Baldi I, Engelhardt J, Bonnet C et al (2018) Epidemiology of meningiomas. Neurochirurgie 64(1):5–14. https://doi.org/10.1016/j.neuchi.2014.05.006
Cerhan JH, Butts AM, Syrjanen JA et al (2019) Factors associated with meningioma detected in a population-based sample. Mayo Clin Proc 94(2):254–261. https://doi.org/10.1016/j.mayocp.2018.07.026
Mohamed Yusoff AA, Mohd Khair SZN, Wan Abdullah WS, Abd Radzak SM, Abdullah JM (2020) Somatic mitochondrial DNA D-loop mutations in meningioma discovered: a preliminary data. J Cancer Res Ther 16(6):1517–1521. https://doi.org/10.4103/jcrt.JCRT_1132_16
Raule N, Sevini F, Santoro A, Altilia S, Franceschi C (2007) Association studies on human mitochondrial DNA: methodological aspects and results in the most common age-related diseases. Mitochondrion 7(1–2):29–38. https://doi.org/10.1016/j.mito.2006.11.013
Maca-Meyer N, Gonzalez AM, Larruga JM, Flores C, Cabrera VM (2001) Major genomic mitochondrial lineages delineate early human expansions. BMC Genet 2:13. https://doi.org/10.1186/1471-2156-2-13
Funding
This project is supported by the National Institutes of Health and the University of Alabama at Birmingham O’Neal Comprehensive Cancer Center Neuro-oncology Research Acceleration Fund (Grant no. R01CA116174); Sylvester Comprehensive Cancer Center (Grant no. CA240139); H. Lee Moffitt Cancer Center & Research Institute (Grant no. CA076292).
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All authors contributed to the study conception and design. CMS, JKT, ZJT, JHC, SM, BLF, LBN, SLW, and KME: contributed to conception and design, acquisition of data, interpretation of data. CMS: designed experiments, performed data analysis, and wrote the manuscript. JKT and ZJT: designed experiment and performed data analysis. CMS, JKT, ZJT, JHC, SM, BLF, LBN, SLW, and KME: revised manuscript for critically important intellectual content. All authors approved the final version to be published.
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This study was performed in line with the principles of the Declaration of Helsinki. The University of South Florida Institutional Review Board approved the study.
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Samanic, C.M., Teer, J.K., Thompson, Z.J. et al. Mitochondrial DNA sequence variation and risk of meningioma. J Neurooncol 155, 319–324 (2021). https://doi.org/10.1007/s11060-021-03878-5
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DOI: https://doi.org/10.1007/s11060-021-03878-5