Evidence map›Paper›PMID 35311131›Full record

ArticleFrontiers in oncology2022

Identification of N6-Methyladenosine-Related lncRNAs as a Prognostic Signature in Glioma.

Yujia Chen, Yuduo Guo, Shenglun Li, Jiacheng Xu, Xiang Wang, Weihai Ning, Lixin Ma, Yanming Qu, Mingshan Zhang, Hongwei Zhang

Open access · goldAbstract read
In one paragraph

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 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.2field-weighted citation impact, top 23% 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

10 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
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  5. Article
  6. Review
  7. Gene signature of mScientific reports · 2022
    Article
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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

10 authors at 3 institutions in 1 country.

Yujia ChenDepartment of Neurosurgery, Sanbo Brain Hospital, Capital Medical University, Beijing, China.
Yuduo GuoCAS Key Laboratory of Infection and Immunity, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China.
Shenglun LiDepartment of Neurosurgery, Sanbo Brain Hospital, Capital Medical University, Beijing, China.
Jiacheng XuDepartment of Neurosurgery, Sanbo Brain Hospital, Capital Medical University, Beijing, China.
Xiang WangDepartment of Neurosurgery, Sanbo Brain Hospital, Capital Medical University, Beijing, China.
Weihai NingDepartment of Neurosurgery, Sanbo Brain Hospital, Capital Medical University, Beijing, China.
Lixin MaDepartment of Neurosurgery, Sanbo Brain Hospital, Capital Medical University, Beijing, China.
Yanming QuDepartment of Neurosurgery, Sanbo Brain Hospital, Capital Medical University, Beijing, China.
Mingshan ZhangDepartment of Neurosurgery, Sanbo Brain Hospital, Capital Medical University, Beijing, China.
Hongwei ZhangDepartment of Neurosurgery, Sanbo Brain Hospital, Capital Medical University, Beijing, China.
Capital Medical University · CNBeijing Sanbo Brain Hospital · CNChinese Academy of Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

N6-methyladenosine (m6A) modification is the most abundant modification in long noncoding RNAs (lncRNAs). Current studies have shown that the abnormal expression of m6A-related genes is closely associated with the tumorigenesis and progression of glioma. However, the role of m6A-related lncRNAs in glioma development is still unclear. Herein, we screened 566 m6A-related lncRNAs in glioma from The Cancer Genome Atlas (TCGA) database. The expression pattern of these lncRNAs could cluster samples into two groups, in which various classical tumor-related functions and the tumor immune microenvironment were significantly different. Subsequently, a nine-factor m6A-related lncRNA prognostic signature (MLPS) was constructed by using a LASSO regression analysis in the training set and was validated in the test set and independent datasets. The AUC values of the MLPS were 0.881, 0.918 and 0.887 for 1-, 3- and 5-year survival in the training set, respectively, and 0.856, 0.916 and 0.909 for 1-, 3-, and 5-year survival in the test set, respectively. Stratification analyses of the MLPS illustrated its prognostic performance in gliomas with different characteristics. Correlation analyses showed that the infiltrations of monocytes and tumor-associated macrophages (TAMs) were significantly relevant to the risk score in the MLPS. Moreover, we detected the expression of four MLPS factors with defined sequences in glioma and normal cells by using RT-PCR. Afterwards, we investigated the functions of LNCTAM34A (one of the MLPS factors) in glioma cells, which have rarely been reported.

Indexed as

gliomalong non-coding RNAN6-methyladenosineprognostic signatureThe Cancer Genome Atlas

Identifiers

PMID35311131
PMCPMC8927984
OpenAlexW4214845360

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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.