Evidence map›Paper›PMID 35338570›Full record

ArticleCNS neuroscience & therapeutics2022

LRRFIP1, an epigenetically regulated gene, is a prognostic biomarker and predicts malignant phenotypes of glioma.

Wenping Ma, Zhaoshi Bao, Zenghui Qian, Kenan Zhang, Wenhua Fan, Jianbao Xu, Changyuan Ren, Ying Zhang, Tao Jiang

Open access · goldAbstract read
In one paragraph

Article in CNS neuroscience & therapeutics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.4field-weighted citation impact, top 43% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 6 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 2 institutions in 1 country.

Wenping MaDepartment of Molecular Neuropathology, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China.ORCID 0000-0002-1564-4584
Zhaoshi BaoDepartment of Molecular Neuropathology, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China.
Zenghui QianDepartment of Molecular Neuropathology, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China.
Kenan ZhangDepartment of Molecular Neuropathology, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China.
Wenhua FanDepartment of Molecular Neuropathology, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China.
Jianbao XuThe Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Changyuan RenSanbo Brain Hospital, Capital Medical University, Beijing, China.
Ying ZhangDepartment of Molecular Neuropathology, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China.ORCID 0000-0002-7613-6188
Tao JiangDepartment of Molecular Neuropathology, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China.ORCID 0000-0002-7008-6351
Capital Medical University · CNHarbin Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsGlioblastoma (GBM) is the most common malignant brain tumor with an adverse prognosis in the central nervous system. Traditional histopathological diagnosis accompanied by subjective deviations cannot accurately reflect tumor characteristics for clinical guidance. DNA methylation plays a critical role in GBM genesis. The focus of this project was to identify an effective methylation point for the classification of gliomas, the interactions between DNA methylation and potential epigenetic targeted therapies for clinical treatments.

methodsThree online (TCGA, CGGA, and REMBRANDT) databases were employed in this study. T-test, Venn analysis, univariate cox analysis, and Pearson's correlation analysis were adopted to screen significant prognostic methylation genes. Clinical samples were collected to determine the distributions of LRRFIP1 (Leucine Rich Repeat of Flightless-1 Interacting Protein) protein by immunohistochemistry assay. Kaplan-Meier survival and Cox analysis were adopted to evaluate the prognostic value of LRRFIP1. Nomogram model was used to construct a prediction model. GO (Gene Ontology) and KEGG (Kyoto Encyclopedia of Genes and Genomes) pathway were performed to explore functions and related mechanisms of LRRFIP1 in gliomas.

resultsOur results showed that 16 genes were negatively connected with their methylation level and correlated with clinical prognosis of GBM patients. Among them, LRRFIP1 expression showed the highest correlation with its methylation level. LRRFIP1 was highly expressed in WHO IV, mesenchymal, and IDH wild-type subtype. LRRFIP1 expression was an independent risk factor for OS (overall survival) in gliomas.

conclusionLRRFIP1 is an epigenetically regulated gene and a potential prognostic biomarker for glioma. Our research may be beneficial to evaluate clinical efficacy, assess the prognosis, and provide individualized treatment for gliomas.

Indexed as

Brain NeoplasmsGlioblastomaGliomaBiomarkersHumansPhenotypePrognosisProteinsRNA-Binding ProteinsBiomarkersLRRFIP1 protein, humanProteinsRNA-Binding ProteinsbiomarkerDNA methylationgliomaLRRFIP1prognosis

Identifiers

PMID35338570
PMCPMC9062568
OpenAlexW4220819514

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

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.