Abstract
Background & aims
To investigate the differential expression of vascular related ceRNA regulatory genes in LGG with different mutations of IDH1 and MGMT, and to verify imaging gene markers that can be closely associated with vascular related ceRNA regulatory genes.
Method
Five hundred fifteen patients with LGG were collected from TCGA database. CeRNA network analysis, GO analysis and Cox risk regression were used to find vascular ceRNA regulatory genes and their genetic markers related to survival. The preoperative MRI image data and postoperative tumor tissues of 14 patients with WHO grade III glioma were collected for full transcriptome analysis. The correlation between image characteristics of LGG and survival related vascular ceRNA regulatory genes was compared using nonparametric U test and Pearson correlation coefficient analysis.
Results
Vascular related genes ranked first in the functional enrichment analysis of differentially expressed genes in LGG. EPHA2, ETS1, YAP1 and MEIS1 could significantly affect the survival of patients in each group of LGG. The volume of enhanced region was negatively correlated with IDH1 (r = -0.622, P = 0.009) mutation and TMEM100 (r = -0.535, P = 0.024), and positively correlated with MEIS1 (r = 0.551, P = 0.021), rCBFmax value was negatively correlated with TMEM100 (r = -0.492, P = 0.037).
Conclusions
Under different IDH1 mutations, lncRNA-dominated vascular-related ceRNA regulatory genes were the first differentially expressed subset of each group, and could be used as an effective risk factor affecting the survival of LGG. The image characteristics of LGG was an ideal image gene marker. It was a reliable imaging biological marker which can truly reflect the pathophysiological characteristics of glioma.
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Data availability
The data are available from the corresponding author on reasonable request.
References
Tian M, Ma W, Chen Y et al (2018) Impact of Gender on the Survival of Patients with Glioblastoma. Biosci Rep 38(6). https://doi.org/10.1042/BSR20180752
Ostrom QT, Price M, Neff C et al (2022) CBTRUS Statistical Report: Primary Brain and Other Central Nervous System Tumors Diagnosed in the United States in 2015–2019. Neuro Oncol 24(Suppl 5):v1–v95. https://doi.org/10.1093/neuonc/noac202
Pittock SJ, Vincent A (2016) Introduction to Autoimmune Neurology. Handb Clin Neurol 133:3–14. https://doi.org/10.1016/B978-0-444-63432-0.00001-3
Kazda T, Lakomy R, Poprach A et al (2017) Controversy in the Postoperative Treatment of Low-Grade Gliomas. Klin Onkol 30(5):337–42. https://doi.org/10.14735/amko2017337
Picca A, Berzero G, Sanson M (2018) Current Therapeutic Approaches to Diffuse Grade Ii and Iii Gliomas. Ther Adv Neurol Disord 11:1756285617752039. https://doi.org/10.1177/17562856177520
Arora I, Gurav M, Rumde R et al (2018) Mgmt Gene Promoter Methylation and Its Correlation with Clinicopathological Parameters in Glioblastomas. Neurol India 66(4):1106–14. https://doi.org/10.4103/0028-3886.236974
Cantero D, Rodriguez de Lope A, Moreno de la Presa R et al (2018) Molecular Study of Long-Term Survivors of Glioblastoma by Gene-Targeted Next-Generation Sequencing. J Neuropathol Exp Neurol 77(8):710–716. https://doi.org/10.1093/jnen/nly048
Satar Z, Hotton G, Samandouras G (2021) Systematic review-Time to malignant transformation in low-grade gliomas: Predicting a catastrophic event with clinical, neuroimaging, and molecular markers. Neurooncol Adv 3(1):vdab101. https://doi.org/10.1093/noajnl/vdab101
Li Y, Shan X, Wu Z et al (2018) Idh1 Mutation Is Associated with a Higher Preoperative Seizure Incidence in Low-Grade Glioma: A Systematic Review and Meta-Analysis. Seizure 55:76–82. https://doi.org/10.1016/j.seizure.2018.01.011
Qiu L, Chang G, Bi Y et al (2018) Circular Rna and Mrna Profiling Reveal Competing Endogenous Rna Networks During Avian Leukosis Virus, Subgroup J-Induced Tumorigenesis in Chickens. PLoS One 13(10):e0204931. https://doi.org/10.1371/journal.pone.0204931
He W, Zhang D, Li X et al (2018) Tcga Dataset-Based Construction and Integrated Analysis of Aberrantly Expressed Long Non-Coding Rna Mediated Competing Endogenous Rna Network in Gastric Cancer. Oncol Rep 40(6):3511–22. https://doi.org/10.3892/or.2018.6720
Zhu Y, Xing Y, Chi F et al (2018) Long Noncoding Rna Snhg6 Promotes the Progression of Colorectal Cancer through Sponging Mir-760 and Activation of Foxc1. Onco Targets Ther 11:5743–52. https://doi.org/10.2147/OTT.S170246
Wang L, Jiang F, Xia X et al (2019) Lncrna Fal1 Promotes Carcinogenesis by Regulation of Mir-637/Nupr1 Pathway in Colorectal Cancer. Int J Biochem Cell Biol 106:46–56. https://doi.org/10.1016/j.biocel.2018.09.015
Folkman J (2006) Tumor Suppression by P53 Is Mediated in Part by the Antiangiogenic Activity of Endostatin and Tumstatin. Sci STKE 2006 354:pe35. https://doi.org/10.1126/stke.3542006pe35
Presti M, Mazzon E, Basile MS et al (2018) Overexpression of Macrophage Migration Inhibitory Factor and Functionally-Related Genes, D-Dt, Cd74, Cd44, Cxcr2 and Cxcr4. Glioblastoma. Oncol Lett 16(3):2881–6. https://doi.org/10.3892/ol.2018.8990
Gulluoglu S, Tuysuz EC, Sahin M et al (2018) Simultaneous Mirna and Mrna Transcriptome Profiling of Glioblastoma Samples Reveals a Novel Set of Oncomir Candidates and Their Target Genes. Brain Res 1700:199–210. https://doi.org/10.1016/j.brainres.2018.08.035
Qian B, Wang DM, Gu XS et al (2018) Lncrna H19 Serves as a Cerna and Participates in Non-Small Cell Lung Cancer Development by Regulating Microrna-107. Eur Rev Med Pharmacol Sci 22(18):5946–53. https://doi.org/10.26355/eurrev_201809_15925
Wu CC, Jain R, Radmanesh A et al (2018) Predicting Genotype and Survival in Glioma Using Standard Clinical Mr Imaging Apparent Diffusion Coefficient Images: A Pilot Study from the Cancer Genome Atlas. AJNR Am J Neuroradiol 39(10):1814–20. https://doi.org/10.3174/ajnr.A5794
Bae S, Choi YS, Ahn SS et al (2018) Radiomic Mri Phenotyping of Glioblastoma: Improving Survival Prediction. Radiology 289(3):797–806. https://doi.org/10.1148/radiol.2018180200
Mitran B, Guler R, Roche FP et al (2018) Radionuclide Imaging of Vegfr2 in Glioma Vasculature Using Biparatopic Affibody Conjugate: Proof-of-Principle in a Murine Model. Theranostics 8(16):4462–76. https://doi.org/10.7150/thno.24395
Jin S, Kang M, Cho H (2018) Cerebral Blood Perfusion Deficits Using Dynamic Susceptibility Contrast Mri with Gadolinium Chelates in Rats with Post-Ischemic Reperfusion without Significant Dynamic Contrast-Enhanced Mri-Derived Vessel Permeabilities: A Cautionary Note. PLoS One 13(7):e0201076. https://doi.org/10.1371/journal.pone.0201076
Siakallis L, Topriceanu CC, Panovska-Griffiths J et al (2023) The role of DSC MR perfusion in predicting IDH mutation and 1p19q codeletion status in gliomas: meta-analysis and technical considerations. Neuroradiology 65(7):1111–1126. https://doi.org/10.1007/s00234-023-03154-5
Liu L, Zhang H, Wu J et al (2019) Overall Survival Time Prediction for High-Grade Glioma Patients Based on Large-Scale Brain Functional Networks. Brain Imaging Behav 13(5):1333–51. https://doi.org/10.1007/s11682-018-9949-2
Sun Q, Chen Y, Liang C et al (2021) Biologic Pathways Underlying Prognostic Radiomics Phenotypes from Paired MRI and RNA Sequencing in Glioblastoma. Radiology 301(3):654–663. https://doi.org/10.1148/radiol.2021203281
Haldar D, Kazerooni AF, Arif S et al (2022) Unsupervised machine learning using K-means identifies radiomic subgroups of pediatric low-grade gliomas that correlate with key molecular markers. Neoplasia 36:100869. https://doi.org/10.1016/j.neo.2022.100869
Funding
This work was supported by Natural Science Foundation of Chongqing (CSTB2022BSXM-JCX0030), Chongqing Clinical Research Center of Imaging and Nuclear Medicine (CSTC2015YFPT-gcjsyjzx0175) and Scientific and Technological Funds for Youth of Gansu (22JR5RA018).
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Guo, Y., Guo, H., Tong, H. et al. The effect Of vascular related CeRNA genes and corresponding imaging biomarkers on survival in lower grade glioma. Ir J Med Sci 193, 653–663 (2024). https://doi.org/10.1007/s11845-023-03536-x
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DOI: https://doi.org/10.1007/s11845-023-03536-x