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Original Research

Identification and Validation of a Seizure-Free-Related Gene Signature for Predicting Poor Prognosis in Lower-Grade Gliomas

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Pages 7399-7410 | Published online: 29 Oct 2021

References

  • Xiao H, Bai J, Yan M, et al. Discovery of 5-signature predicting survival of patients with lower-grade glioma. World Neurosurg. 2019;126:e765–e772. doi:10.1016/j.wneu.2019.02.147
  • van Breemen MSM, Wilms EB, Vecht CJ. Epilepsy in patients with brain tumours: epidemiology, mechanisms, and management. Lancet Neurol. 2007;6(5):421–430. doi:10.1016/S1474-4422(07)70103-5
  • You G, Sha Z-Y, Yan W, et al. Seizure characteristics and outcomes in 508 Chinese adult patients undergoing primary resection of low-grade gliomas: a clinicopathological study. Neuro Oncol. 2012;14(2):230–241. doi:10.1093/neuonc/nor205
  • Wang Y, Wang Y, Fan X, et al. Putamen involvement and survival outcomes in patients with insular low-grade gliomas. J Neurosurg. 2017;126(6):1788–1794. doi:10.3171/2016.5.JNS1685
  • Pouratian N, Mut M, Jagannathan J, Lopes MB, Shaffrey ME, Schiff D. Low-grade gliomas in older patients: a retrospective analysis of prognostic factors. J Neurooncol. 2008;90(3):341. doi:10.1007/s11060-008-9669-3
  • Fan X, Li Y, Shan X, et al. Seizures at presentation are correlated with better survival outcomes in adult diffuse glioma: a systematic review and meta-analysis. Seizure. 2018;59:16–23. doi:10.1016/j.seizure.2018.04.018
  • Lote K, Stenwig AE, Skullerud K, Hirschberg H. Prevalence and prognostic significance of epilepsy in patients with gliomas. Eur J Cancer. 1998;34(1):98–102. doi:10.1016/S0959-8049(97)00374-2
  • Phan K, Ng W, Lu VM, et al. Association between IDH1 and IDH2 mutations and preoperative seizures in patients with low-grade versus high-grade glioma: a systematic review and meta-analysis. World Neurosurg. 2018;111:e539–e545. doi:10.1016/j.wneu.2017.12.112
  • Chen H, Judkins J, Thomas C, et al. Mutant IDH1 and seizures in patients with glioma. Neurology. 2017;88(19):1805–1813. doi:10.1212/WNL.0000000000003911
  • Venkatesh HS, Morishita W, Geraghty AC, et al. Electrical and synaptic integration of glioma into neural circuits. Nature. 2019;573(7775):539–545. doi:10.1038/s41586-019-1563-y
  • Rudà R, Bello L, Duffau H, Soffietti R. Seizures in low-grade gliomas: natural history, pathogenesis, and outcome after treatments. Neuro Oncol. 2012;14(Suppl 4):iv55–64. doi:10.1093/neuonc/nos199
  • Zhang J, Yao L, Peng S, Fang Y, Tang R, Liu J. Correlation between glioma location and preoperative seizures: a systematic review and meta-analysis. Neurosurg Rev. 2019;42(3):603–618. doi:10.1007/s10143-018-1014-5
  • Zhou Z, Huang R, Chai R, et al. Identification of an energy metabolism-related signature associated with clinical prognosis in diffuse glioma. Aging. 2018;10(11):3185–3209. doi:10.18632/aging.101625
  • Jang BS, Kim IA. A radiosensitivity gene signature and PD-L1 predict the clinical outcomes of patients with lower grade glioma in TCGA. Radiother Oncol. 2018;128(2):245–253. doi:10.1016/j.radonc.2018.05.003
  • Ahluwalia P, Mondal AK, Bloomer C, et al. Identification and clinical validation of a novel 4 gene-signature with prognostic utility in colorectal cancer. Int J Mol Sci. 2019;20(15):3818. doi:10.3390/ijms20153818
  • Wu M, Li X, Zhang T, Liu Z, Zhao Y. Identification of a nine-gene signature and establishment of a prognostic nomogram predicting overall survival of pancreatic cancer. Front Oncol. 2019;9:996. doi:10.3389/fonc.2019.00996
  • Colaprico A, Silva TC, Olsen C, et al. TCGAbiolinks: an R/Bioconductor package for integrative analysis of TCGA data. Nucleic Acids Res. 2016;44(8):e71–e71. doi:10.1093/nar/gkv1507
  • Wang L, Li Z, Song X, Liu L, Su G, Cui Y. Bioinformatic analysis of genes and MicroRNAs associated with atrioventricular septal defect in down syndrome patients. Int Heart J. 2016;57(4):490–495. doi:10.1536/ihj.15-319
  • He P, Zhang Z, Liao W, Xu D, Fu M, Kang Y. Screening of gene signatures for rheumatoid arthritis and osteoarthritis based on bioinformatics analysis. Mol Med Rep. 2016;14(2):1587–1593. doi:10.3892/mmr.2016.5423
  • Ruan L, Xie Y, Liu F, Chen X. Serum miR-1181 and miR-4314 associated with ovarian cancer: miRNA microarray data analysis for a pilot study. Eur J Obstet Gynecol Reprod Biol. 2018;222:31–38. doi:10.1016/j.ejogrb.2018.01.006
  • Wang R, Li J, Zhao Y, Li Y, Yin L. Investigating the therapeutic potential and mechanism of curcumin in breast cancer based on RNA sequencing and bioinformatics analysis. Breast Cancer. 2018;25(2):206–212. doi:10.1007/s12282-017-0816-6
  • Ouyang D, Li R, Li Y, Zhu X. A 7-lncRNA signature predict prognosis of Uterine corpus endometrial carcinoma. J Cell Biochem. 2019;120(10):18465–18477. doi:10.1002/jcb.29164
  • Xiao K, Liu Q, Peng G, Su J, Qin C-Y, Wang X-Y. Identification and validation of a three-gene signature as a candidate prognostic biomarker for lower grade glioma. PeerJ. 2020;8:e8312. doi:10.7717/peerj.8312
  • Scott GM, Gibberd FB. Epilepsy and other factors in the prognosis of gliomas. Acta Neurol Scand. 1980;61(4):227–239. doi:10.1111/j.1600-0404.1980.tb01487.x
  • Xue J, Gao HX, Sang W, et al. Identification of core differentially methylated genes in glioma. Oncol Lett. 2019;18(6):6033–6045.
  • Razmkhah M, Arabpour F, Taghipour M, Mehrafshan A, Chenari N, Ghaderi A. Expression of chemokines and chemokine receptors in brain tumor tissue derived cells. Asian Pac J Cancer Prev. 2014;15(17):7201–7205. doi:10.7314/APJCP.2014.15.17.7201
  • Hu Y, Lai Y. Identification and expression analysis of rice histone genes. Plant Physiol Biochem. 2015;86:55–65. doi:10.1016/j.plaphy.2014.11.012
  • Dong S, Li W, Wang L, et al. Histone-related genes are hypermethylated in lung cancer and hypermethylated HIST1H4F could serve as a pan-cancer biomarker. Cancer Res. 2019;79(24):6101–6112. doi:10.1158/0008-5472.CAN-19-1019
  • Wojtasz L, Daniel K, Roig I, et al. Mouse HORMAD1 and HORMAD2, two conserved meiotic chromosomal proteins, are depleted from synapsed chromosome axes with the help of TRIP13 AAA-ATPase. PLoS Genet. 2009;5(10):e1000702. doi:10.1371/journal.pgen.1000702
  • Liu M, Chen J, Hu L, et al. HORMAD2/CT46.2, a novel cancer/testis gene, is ectopically expressed in lung cancer tissues. Mol Hum Reprod. 2012;18(12):599–604. doi:10.1093/molehr/gas033