Evidence map›Paper›PMID 36601479›Full record

ArticleFrontiers in oncology2022

A necroptosis-related lncRNA signature was identified to predict the prognosis and immune microenvironment of IDH-wild-type GBM.

Chong Song, Liwen Zhu, Junwei Gu, Tong Wang, Linyong Shi, Chiyang Li, Lei Chen, Sidi Xie, Yuntao Lu

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Article in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

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7citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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7 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Chong SongDepartment of Neurosurgery, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Liwen ZhuDepartment of Neurosurgery, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Junwei GuDepartment of Neurosurgery, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Tong WangDepartment of Neurosurgery, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Linyong ShiDepartment of Neurosurgery, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Chiyang LiDepartment of Neurosurgery, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Lei ChenDepartment of Neurosurgery, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Sidi XieDepartment of Neurosurgery, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Yuntao LuDepartment of Neurosurgery, Nanfang Hospital, Southern Medical University, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Necroptosis-related genes are essential for the advancement of IDH-wild-type GBM. However, the putative effects of necroptosis-related lncRNAs (nrlncRNAs) in IDH-wild-type GBM remain unknown. Methods: By using the TCGA and GTEx databases, a nrlncRNA prognostic signature was created using LASSO Cox regression. The median risk score was used to categorize the patients into low and high-risk groups. To confirm the validity, univariate, multivariate Cox regression and ROC curves were used. Furthermore, by enrichment analysis, immune correlation analysis, and drug sensitivity analysis, the targeted lncRNAs were selected for further verification. As the highest upregulated expression in tumor than peritumor specimens, RP11-131L12.4 was selected for phenotype and functional experiments in primary GBM cells. Results: Six lncRNAs were proved to be closely related to necroptosis in IDH-1-wild-type GBM, which were used to create a new signature. For 1-, 2-, and 3-year OS, the AUCs were 0.709, 0.645 and 0.694, respectively. Patients in the low-risk group had a better prognosis, stronger immune function activity, and more immune cell infiltration. In contrast, enrichment analysis revealed that the malignant phenotype was more prevalent in the high-risk group. In vitro experiments indicated that RP11-131L12.4 increased the tumor proliferation, migration and invasion, but decreased the necroptosis. Moreover, this nrlncRNA was also proved to be negatively associated with patient prognosis. Conclusion: The signature of nrlncRNAs may aid in the formulation of tailored and precise treatment for individuals with IDH-wild-type GBM. RP11-131L12.4 may play indispensable role in necroptosis suppression.

Indexed as

glioblastomanecroptosisprognosissignaturetumor microenvironment

Identifiers

PMID36601479
PMCPMC9806237

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