Evidence map›Paper›PMID 34659218›Full record

ArticleFrontiers in immunology2021

Hypoxia-Related lncRNA Correlates With Prognosis and Immune Microenvironment in Lower-Grade Glioma.

Shengchao Xu, Lu Tang, Zhixiong Liu, Chengke Luo, Quan Cheng

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Article in Frontiers in immunology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

33 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

5 authors.

Shengchao XuDepartment of Neurosurgery, Xiangya Hospital, Central South University, Changsha, China.
Lu TangDepartment of Thoracic Surgery, Xiangya Hospital, Central South University, Changsha, China.
Zhixiong LiuDepartment of Neurosurgery, Xiangya Hospital, Central South University, Changsha, China.
Chengke LuoDepartment of Neurosurgery, Xiangya Hospital, Central South University, Changsha, China.
Quan ChengDepartment of Neurosurgery, Xiangya Hospital, Central South University, Changsha, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Hypoxia-related genes are demonstrated to correlate with the prognosis of various cancers. However, the role of hypoxia-related long non-coding RNAs (HRLs) in lower-grade glioma (LGG) remains unclear. Methods: A total of 700 LGG samples were extracted from TCGA and CGGA databases. Pearson correlation analysis was used to identify HRLs. Lasso analysis was adopted to construct the HRL signature. TIDE algorithm was used to predict responses to immune checkpoint inhibitors. Cell proliferation was estimated by cell counting kit-8 assay, colony formation assay, and EdU assay. Results: We identified 340 HRLs and constructed a novel risk signature composed of 19 HRLs. The risk score exhibited potent value in predicting the prognosis of LGG patients and was significantly associated with the prognosis of LGG patients. Moreover, HRL signature could distinguish patients with similar expression levels of immune checkpoints and might predict the efficacy of immune checkpoint inhibitors. Additionally, hypoxia-related pathways and immune pathways were enriched in high-risk group, and high risk score indicated low tumor purity and high immune infiltration. Two major HRLs, LINC00941 and BASP1-AS1, could significantly affect the proliferation of glioma cells. Conclusions: Our study constructed a novel HRL signature that could predict the prognosis and immunotherapy response of LGG patients. HRLs could be novel biomarkers to predict the prognosis of LGG patients and potential targets for LGG treatment.

Indexed as

Tumor HypoxiaAdultBiomarkers, TumorBrain NeoplasmsCell Line, TumorCell ProliferationClinical Decision-MakingDatabases, GeneticFemaleGene Expression ProfilingGliomaHumansImmune Checkpoint InhibitorsMaleMiddle AgedNeoplasm GradingBiomarkers, TumorImmune Checkpoint InhibitorsRNA, Long Noncodinghypoxiaimmune infiltrationimmune microenvironmentlong non-coding RNAlower-grade glioma

Identifiers

PMID34659218
PMCPMC8514865

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.