Identification of prognostic biomarkers in glioblastoma using a long non-coding RNA-mediated, competitive endogenous RNA network

Cao, Yuze; Wang, Peng; Ning, Shangwei; Xiao, Wenbiao; Xiao, Bo; Li, Xia

doi:10.18632/oncotarget.9569

Cited by 49 publications

(39 citation statements)

References 48 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…lncRNA MIR17HG was upregulated in glioma tissues and cell lines, and acted as competing endogenous RNA (ceRNA) to sponge miR-346/miR-425-5p in regulating the malignant of glioma [14]. Yuze Cao et al reported that lncRNA MIR17HG-mediated ceRNA network was identi ed as a potential prognostic biomarker for glioblastoma [22]. Moreover, Xue Leng et al observed that MIR17HG was highly expressed in glioma and participated in piR-DQ590027/ lncRNA MIR17HG/miR-153(miR-377)/FOXR2 pathway which involved in regulating the permeability of glioma-conditioned normal bloodbrain barrier [23].…”

Section: Discussionmentioning

confidence: 99%

Genetic variants in MIR17HG affect the susceptibility and prognosis of glioma in a Chinese Han population

Feng

Ouyang

et al. 2020

Preprint

View full text Add to dashboard Cite

Background: lncRNA MIR17HG was upregulated in glioma, and participated in promoting proliferation, migration and invasion of glioma. However, the role of MIR17HG polymorphisms in the occurrence and prognosis of glioma is still unclear.Methods: In the study, 592 glioma patients and 502 control subjects were recruited. Agena MassARRAY platform was used to detect the genotype of MIR17HG polymorphisms. Logistic regression analysis was used to evaluate the relationship between MIR17HG single nucleotide polymorphisms (SNPs) and glioma risk by odds ratio (OR) and 95% confidence intervals (CIs). Kaplan–Meier curves, Cox hazards models were performed for assessing the role of these SNPs in glioma prognosis by hazard ratios (HR) and 95% CIs.Results: We found that rs7318578 (OR = 2.25, p = 3.18´10-5) was significantly associated with glioma susceptibility in the overall participants. In the subgroup with age < 40 years, rs17735387 (OR = 1.53, p = 9.05´10-3) and rs7336610 (OR = 1.35, p = 0.016) were related to the higher glioma susceptibility. More importantly, rs17735387 (HR = 0.82, log-rank p = 0.026) were associated with the longer survival of glioma patients. The GA genotype of rs17735387 had a better overall survival (HR = 0.75, log-rank p = 0.013) and progression free survival (HR = 0.73, log-rank p = 0.032) in patients with Ⅰ-Ⅱ glioma. We also found that rs72640334 was related to the poor prognosis (HR = 1.49, Log-rank p = 0.035) in female patients. In the subgroup of patients with age ³ 40 years, rs17735387 was associated with a better prognosis (HR = 0.036, Log-rank p = 0.002).Conclusion: Our study firstly reported that MIR17HG rs7318578 was a risk factor for glioma susceptibility and rs17735387 was associated with the longer survival of glioma among Chinese Han population, which might help to enhance the understanding of MIR17HG gene in gliomagenesis.

show abstract

Section: Discussionmentioning

confidence: 99%

Genetic variants in MIR17HG affect the susceptibility and prognosis of glioma in a Chinese Han population

Feng

Ouyang

et al. 2020

Preprint

View full text Add to dashboard Cite

show abstract

“…Moreover, the median survival for patients with GBM has remained less than 2 years. 34 Previous studies also found that the ceRNA crosstalks among TFs, lncRNAs and mRNAs participated in the pathological processes of GBM and had prognosis effect. A large amount of studies have found that ncRNAs, such as miRNAs, play crucial roles in pathology of GBM and act as strong prognosis factors.…”

Section: Discussionmentioning

confidence: 97%

Comprehensive analysis of lncRNA‐TF crosstalks and identification of prognostic regulatory feedback loops of glioblastoma using lncRNA/TF‐mediated ceRNA network

Hong

et al. 2019

J of Cellular Biochemistry

View full text Add to dashboard Cite

Glioblastoma (GBM) has become the most aggressive primary brain tumor in the world. Patients with GBM usually have a poor prognosis. The median survival times of GBM patients retain less than 2 years. Thus, it is urgent to investigate the molecular mechanism of GBM. Recently, studies have demonstrated that transcription factors (TFs) participate in cancer pathology by regulating long noncoding RNAs (lncRNAs). However, the functional and regulatory roles of TF‐lncRNA crosstalks are still unclear. In this study, we constructed a global lncRNA‐TF network (GLTN) based on competing endogenous RNA. As a result, some topological features of GLTN were identified. A known GBM lncRNA MCM3AP‐AS1 showed multiple central topological features in GLTN. Furthermore, we identified hub genes and extracted the hub‐hub pairs from GLTN to form a hub associated lncRNA‐TF network (HALTN). Results showed that a risk model combined with multiple hubs had a significant effect on prognosis. Additionally, we performed module searching and two functional modules from HALTN were identified, which were confirmed as risk factors of GBM. More importantly, we also identified some core lncRNA‐TF crosstalks that might form feedback loops to control the biological processes in GBM. Our results demonstrated that the synergistic, competitive lncRNA‐TF crosstalks played an important role in pathological processes of GBM, and had strong effect on prognosis. All these results can help us to uncover the molecular mechanism and provide a new therapeutic target for GBM.

show abstract

“…Yan et al [78] established interaction networks between lncRNAs and mRNAs aberrantly expressed in GBM, and based on this, they postulated "hub genes" which were involved in GBM pathogenesis. Similarly, under this perspective, it was found that complexes conformed by lncRNA•mRNA (HOTAIR-MX11-CD58/PRKCE and HOTAIR-ATF5-NCAM1) or lncRNA•lncRNA (MCM3AP-AS-MIR17HG) could be potential biomarkers for GBM prognosis [79][80][81][82]. Importantly, the TP73-AS1•RFX1 complex (TP73 Antisense RNA 1 and Regulatory Factor X1, respectively) was identified as an important factor for the control of apoptosis in this type of tumor [83].…”

Section: Search For Gbm Biomarkers From a System Biological Perspectivementioning

confidence: 97%

“…A major clinical problem is the resistance to chemotherapy and radiotherapy; therefore, identification of "molecular tools" that can predict and in the best-case scenario, improve the cellular response to these treatments would be ideal. Wang et al [80] established a prediction model for radiosensitivity by detecting differential expressed lncRNAs and mRNAs after irradiation. Interestingly, the algorithm differentiated those patients that were radiosensitive and with a greater survival, from the patients with radioresistance; unfortunately, as far as we know, this is the only study focused on GBM radioresistance.…”

Section: Radio and Chemoresistancementioning

confidence: 99%

Potential Use of Long Noncoding RNAs as Biomarkers for Astrocytoma

Esparza‐Garrido¹,

Siordia-Reyes²,

Sánchez³

et al. 2019

Primary Intracranial Tumors

View full text Add to dashboard Cite

Noncoding RNAs represent a high proportion of the human genome and regulate gene expression by means of innumerable and unimaginable modes of action. Particularly, long noncoding RNAs have emerged as central regulators of gene expression and alterations on their function have been associated with many types of cancer, such as astrocytomas. Astrocytomas are the most common type of gliomas in the central nervous system, and glioblastoma multiforme is their most aggressive form. Although adult and pediatric astrocytomas exhibit certain molecular similarities, they are considered as distinct molecular entities. Since to date there is no effective treatments for these tumors, different efforts are being made to find molecular tools useful for this purpose. Studies have shown that both tumor and circulating expression of lncRNAs were altered in astrocytoma, which was useful to distinguish the patients with this neoplasia from those without cancer, as well as to determine different prognostic factors related to the disease. According to these studies, different "molecular signatures" of specific lncRNAs were established, and they have a potential use in the medical practice. From a system biological perspective, complex interaction networks, conformed by lncRNAs, microRNAs, mRNAs, and proteins, were elucidated and predicted to control many oncogenic processes.

show abstract

Identification of prognostic biomarkers in glioblastoma using a long non-coding RNA-mediated, competitive endogenous RNA network

Cited by 49 publications

References 48 publications

Genetic variants in MIR17HG affect the susceptibility and prognosis of glioma in a Chinese Han population

Genetic variants in MIR17HG affect the susceptibility and prognosis of glioma in a Chinese Han population

Comprehensive analysis of lncRNA‐TF crosstalks and identification of prognostic regulatory feedback loops of glioblastoma using lncRNA/TF‐mediated ceRNA network

Potential Use of Long Noncoding RNAs as Biomarkers for Astrocytoma

Contact Info

Product

Resources

About