Skip to main content
Log in

Identification of N6-methyladenosine-related lncRNAs for patients with primary glioblastoma

  • Original Article
  • Published:
Neurosurgical Review Aims and scope Submit manuscript

Abstract

To investigate the m6a-related long non-coding RNAs (lncRNAs) that may be exploited as potential biomarkers in primary glioblastoma (pGBM), a cohort of 268 glioma samples from GSE16011 dataset was included for discovery. The Chinese Glioma Genome Atlas (CGGA) microarray and RNA sequencing databases were used for validation. Bioinformatic analyses were performed using the R software. The m6a-lncRNA co-expression networks were constructed, and four m6a-related lncRNAs (MIR9-3HG, LINC00900, MIR155HG, and LINC00515) were identified in pGBM patients on the univariate Cox regression analysis. Patients in the low-risk group had longer overall survival (OS) and progression-free survival (PFS) than those in the high-risk group (P = 0.0025, P = 0.0070). Moreover, the high-risk group displayed older age, isocitrate dehydrogenase (IDH) wild-type, classical and mesenchymal TCGA subtype, and G3 CGGA subtype. Distinct m6a status was identified according to histologic grade and two groups (low-risk and high-risk). Functional annotation showed that differentially expressed genes between the two groups were enriched in immune response, apoptosis, cell adhesion, negative regulation of transcription, negative regulation of RNA metabolic process, and regulation of RNA metabolic process. We profiled the m6a status in glioma and identified four m6a-related prognostic lncRNAs for pGBMs.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5

Similar content being viewed by others

References

  1. Yang P, Wang Y, Peng X, You G, Zhang W, Yan W, Bao Z, Wang Y, Qiu X, Jiang T (2013) Management and survival rates in patients with glioma in China (2004-2010): a retrospective study from a single-institution. J Neuro-Oncol 113:259–266

    Article  CAS  Google Scholar 

  2. Yang Y, Hsu PJ, Chen YS, Yang YG (2018) Dynamic transcriptomic m(6)A decoration: writers, erasers, readers and functions in RNA metabolism. Cell Res 28:616–624

    Article  CAS  Google Scholar 

  3. Weng H, Huang H, Wu H et al (2018) METTL14 inhibits hematopoietic stem/progenitor differentiation and promotes leukemogenesis via mRNA m(6)A modification. Cell Stem Cell 22:191–205 e199

    Article  CAS  Google Scholar 

  4. Bansal H, Yihua Q, Iyer SP, Ganapathy S, Proia DA, Penalva LO, Uren PJ, Suresh U, Carew JS, Karnad AB, Weitman S, Tomlinson GE, Rao MK, Kornblau SM, Bansal S (2014) WTAP is a novel oncogenic protein in acute myeloid leukemia. Leukemia 28:1171–1174

    Article  CAS  Google Scholar 

  5. Cui Q, Shi H, Ye P et al (2017) m(6)A RNA methylation regulates the self-renewal and tumorigenesis of glioblastoma stem cells. Cell Rep 18:2622–2634

    Article  CAS  Google Scholar 

  6. Liu J, Ren D, Du Z, Wang H, Zhang H, Jin Y (2018) m(6)A demethylase FTO facilitates tumor progression in lung squamous cell carcinoma by regulating MZF1 expression. Biochem Biophys Res Commun 502:456–464

    Article  CAS  Google Scholar 

  7. Zhang S, Zhao BS, Zhou A et al (2017) m(6)A demethylase ALKBH5 maintains tumorigenicity of glioblastoma stem-like cells by sustaining FOXM1 expression and cell proliferation program. Cancer Cell 31:591–606 e596

    Article  CAS  Google Scholar 

  8. Patil DP, Chen CK, Pickering BF et al (2016) m(6)A RNA methylation promotes XIST-mediated transcriptional repression. Nature 537:369–373

    Article  CAS  Google Scholar 

  9. Zhao X, Chen Y, Mao Q, Jiang X, Jiang W, Chen J, Xu W, Zhong L, Sun X (2018) Overexpression of YTHDF1 is associated with poor prognosis in patients with hepatocellular carcinoma. Cancer Biomark 21:859–868

    Article  CAS  Google Scholar 

  10. Bian EB, Li J, Xie YS, Zong G, Li J, Zhao B (2015) lncRNAs: new players in gliomas, with special emphasis on the interaction of lncRNAs with EZH2. J Cell Physiol 230:496–503

    Article  CAS  Google Scholar 

  11. Sun Y, Wang Z, Zhou D (2013) Long non-coding RNAs as potential biomarkers and therapeutic targets for gliomas. Med Hypotheses 81:319–321

    Article  CAS  Google Scholar 

  12. Zhang XQ, Leung GK (2014) Long non-coding RNAs in glioma: functional roles and clinical perspectives. Neurochem Int 77:78–85

    Article  Google Scholar 

  13. Wang P, Ren Z, Sun P (2012) Overexpression of the long non-coding RNA MEG3 impairs in vitro glioma cell proliferation. J Cell Biochem 113:1868–1874

    Article  CAS  Google Scholar 

  14. Wang Q, Zhang J, Liu Y, Zhang W, Zhou J, Duan R, Pu P, Kang C, Han L (2016) A novel cell cycle-associated lncRNA, HOXA11-AS, is transcribed from the 5-prime end of the HOXA transcript and is a biomarker of progression in glioma. Cancer Lett 373:251–259

    Article  CAS  Google Scholar 

  15. Han Y, Wu Z, Wu T, Huang Y, Cheng Z, Li X, Sun T, Xie X, Zhou Y, du Z (2016) Tumor-suppressive function of long noncoding RNA MALAT1 in glioma cells by downregulation of MMP2 and inactivation of ERK/MAPK signaling. Cell Death Dis 7:e2123

    Article  CAS  Google Scholar 

  16. Ni W, Yao S, Zhou Y, Liu Y, Huang P, Zhou A, Liu J, Che L, Li J (2019) Long noncoding RNA GAS5 inhibits progression of colorectal cancer by interacting with and triggering YAP phosphorylation and degradation and is negatively regulated by the m(6)A reader YTHDF3. Mol Cancer 18:143

    Article  Google Scholar 

  17. Wu Y, Yang X, Chen Z et al (2019) m(6)A-induced lncRNA RP11 triggers the dissemination of colorectal cancer cells via upregulation of Zeb1. Mol Cancer 18:87

    Article  Google Scholar 

  18. He Y, Hu H, Wang Y, Yuan H, Lu Z, Wu P, Liu D, Tian L, Yin J, Jiang K, Miao Y (2018) ALKBH5 inhibits pancreatic cancer motility by decreasing long non-coding RNA KCNK15-AS1 methylation. Cell Physiol Biochem 48:838–846

    Article  CAS  Google Scholar 

  19. Zhang X, Sun S, Pu JK, Tsang AC, Lee D, Man VO, Lui WM, Wong ST, Leung GK (2012) Long non-coding RNA expression profiles predict clinical phenotypes in glioma. Neurobiol Dis 48:1–8

    Article  Google Scholar 

  20. Wang Y, Li Y, Yue M et al (2018) Publisher correction: N(6)-methyladenosine RNA modification regulates embryonic neural stem cell self-renewal through histone modifications. Nat Neurosci

  21. Michelhaugh SK, Lipovich L, Blythe J, Jia H, Kapatos G, Bannon MJ (2011) Mining Affymetrix microarray data for long non-coding RNAs: altered expression in the nucleus accumbens of heroin abusers. J Neurochem 116:459–466

    Article  CAS  Google Scholar 

  22. Johnson R (2012) Long non-coding RNAs in Huntington’s disease neurodegeneration. Neurobiol Dis 46:245–254

    Article  CAS  Google Scholar 

  23. Cai J, Zhang W, Yang P, Wang Y, Li M, Zhang C, Wang Z, Hu H, Liu Y, Li Q, Wen J, Sun B, Wang X, Jiang T, Jiang C (2015) Identification of a 6-cytokine prognostic signature in patients with primary glioblastoma harboring M2 microglia/macrophage phenotype relevance. PLoS One 10:e0126022

    Article  Google Scholar 

  24. Bao ZS, Li MY, Wang JY, Zhang CB, Wang HJ, Yan W, Liu YW, Zhang W, Chen L, Jiang T (2014) Prognostic value of a nine-gene signature in glioma patients based on mRNA expression profiling. CNS Neurosci Ther 20:112–118

    Article  CAS  Google Scholar 

  25. Zhang CB, Zhu P, Yang P, Cai JQ, Wang ZL, Li QB, Bao ZS, Zhang W, Jiang T (2015) Identification of high risk anaplastic gliomas by a diagnostic and prognostic signature derived from mRNA expression profiling. Oncotarget 6:36643–36651

    Article  Google Scholar 

  26. Lossos IS, Czerwinski DK, Alizadeh AA, Wechser MA, Tibshirani R, Botstein D, Levy R (2004) Prediction of survival in diffuse large-B-cell lymphoma based on the expression of six genes. N Engl J Med 350:1828–1837

    Article  CAS  Google Scholar 

  27. Zhang W, Zhang J, Yan W, You G, Bao Z, Li S, Kang C, Jiang C, You Y, Zhang Y, Chen CC, Song SW, Jiang T (2013) Whole-genome microRNA expression profiling identifies a 5-microRNA signature as a prognostic biomarker in Chinese patients with primary glioblastoma multiforme. Cancer 119:814–824

    Article  CAS  Google Scholar 

  28. Wang W, Yang F, Zhang L, Chen J, Zhao Z, Wang H, Wu F, Liang T, Yan X, Li J, Lan Q, Wang J, Zhao J (2016) LncRNA profile study reveals four-lncRNA signature associated with the prognosis of patients with anaplastic gliomas. Oncotarget 7:77225–77236

    Article  Google Scholar 

  29. Wang W, Zhang L, Liu W, Zhu Q, Lan Q, Zhao J (2016) Antiplatelet agents for the secondary prevention of ischemic stroke or transient ischemic attack: a network meta-analysis. J Stroke Cerebrovasc Dis 25:1081–1089

    Article  Google Scholar 

  30. Dai D, Wang H, Zhu L, Jin H, Wang X (2018) N6-methyladenosine links RNA metabolism to cancer progression. Cell Death Dis 9:124

    Article  Google Scholar 

  31. Nikkanen J, Landoni JC, Balboa D, Haugas M, Partanen J, Paetau A, Isohanni P, Brilhante V, Suomalainen A (2018) A complex genomic locus drives mtDNA replicase POLG expression to its disease-related nervous system regions. EMBO Mol Med 10:13–21

    Article  CAS  Google Scholar 

  32. Jia L, Wu D, Wang Y, You W, Wang Z, Xiao L, Cai G, Xu Z, Zou C, Wang F, Teoh JY, Ng CF, Yu S, Chan FL (2018) Orphan nuclear receptor TLX contributes to androgen insensitivity in castration-resistant prostate cancer via its repression of androgen receptor transcription. Oncogene 37:3340–3355

    Article  CAS  Google Scholar 

  33. Thiele JA, Hosek P, Kralovcova E et al (2018) lncRNAs in non-malignant tissue have prognostic value in colorectal cancer. Int J Mol Sci 19

  34. Song J, Peng J, Zhu C, Bai G, Liu Y, Zhu J, Liu J (2018) Identification and validation of two novel prognostic lncRNAs in kidney renal clear cell carcinoma. Cell Physiol Biochem 48:2549–2562

    Article  CAS  Google Scholar 

  35. Wu X, Wang Y, Yu T, Nie E, Hu Q, Wu W, Zhi T, Jiang K, Wang X, Lu X, Li H, Liu N, Zhang J, You Y (2017) Blocking MIR155HG/miR-155 axis inhibits mesenchymal transition in glioma. Neuro-Oncology 19:1195–1205

    Article  CAS  Google Scholar 

  36. Balasubramaniyan V, Bhat KP (2017) Targeting MIR155HG in glioma: a novel approach. Neuro-Oncology 19:1152–1153

    Article  CAS  Google Scholar 

  37. Lu D, Yang C, Zhang Z, Cong Y, Xiao M (2018) Knockdown of Linc00515 inhibits multiple myeloma autophagy and chemoresistance by upregulating miR-140-5p and downregulating ATG14. Cell Physiol Biochem 48:2517–2527

    Article  CAS  Google Scholar 

  38. Zheng ZG, Xu H, Suo SS et al (2016) The essential role of H19 contributing to cisplatin resistance by regulating glutathione metabolism in high-grade serous ovarian cancer. Sci Rep 6:26093

    Article  CAS  Google Scholar 

Download references

Funding

This work was supported by grants from the Beijing Municipal Administration of Hospitals’ Mission Plan (SML20150501), the “13th Five-Year Plan” National Science and Technology supporting plan (2015BAI09B04), and the Foundation of Beijing Tiantan Hospital (2018-YQN-6).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jizong Zhao.

Ethics declarations

Conflict of interest

The authors declare that they have no conflict of interest.

Ethical approval

This study was approved by the Beijing Tiantan Hospital institutional review board (IRB).

Informed consent

Informed consent was obtained from each patient involved in our research.

Additional information

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Electronic supplementary material

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Wang, W., Li, J., Lin, F. et al. Identification of N6-methyladenosine-related lncRNAs for patients with primary glioblastoma. Neurosurg Rev 44, 463–470 (2021). https://doi.org/10.1007/s10143-020-01238-x

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10143-020-01238-x

Keywords

Navigation