Evidence map›Paper›PMID 34790823›Full record

ArticleBioMed research international2021

Identification of Autophagy-Related Prognostic Signature and Analysis of Immune Cell Infiltration in Low-Grade Gliomas.

Qingli Quan, Xinxin Xiong, Shanyun Wu, Meixing Yu

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BioMed research international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 34% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
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

4 authors at 3 institutions in 2 countries.

Qingli QuanGuangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou 510623, China.ORCID https://orcid.org/0000-0001-6096-634X
Xinxin XiongGuangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou 510623, China.ORCID https://orcid.org/0000-0002-1660-6352
Shanyun WuUniversity of British Columbia, Vancouver, Canada.ORCID https://orcid.org/0000-0002-6399-5987
Meixing YuGuangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou 510623, China.ORCID https://orcid.org/0000-0001-8255-7088
Guangzhou Women and Children Medical Center · CNFudan University · CNUniversity of British Columbia · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Autophagy plays an important role in cancer. Many studies have demonstrated that autophagy-related genes (ARGs) can act as a prognostic signature for some cancers, but little has been known in low-grade gliomas (LGG). In our study, we aimed to establish a prognostical model based on ARGs and find prognostic risk-related key genes in LGG. In the present study, a prognostic signature was constructed based on a total of 8 ARGs (MAPK8IP1, EEF2, GRID2, BIRC5, DLC1, NAMPT, GRID1, and TP73). It was revealed that the higher the risk score, the worse was the prognosis. Time-dependent ROC analysis showed that the risk score could precisely predict the prognosis of LGG patients. Additionally, four key genes (TGF

Indexed as

Adaptor Proteins, Signal TransducingAutophagyBiomarkers, TumorBrain NeoplasmsCytokinesDatabases, GeneticGene ExpressionGliomaGTPase-Activating ProteinsHumansLymphocytes, Tumor-InfiltratingNicotinamide PhosphoribosyltransferasePrognosisReceptors, GlutamateSurvivinTranscriptomeAdaptor Proteins, Signal TransducingBiomarkers, TumorBIRC5 protein, humanCytokinesDLC1 protein, humanglutamate receptor delta 2GRAP2 protein, humanGTPase-Activating ProteinsMAPK8IP1 protein, humanNicotinamide Phosphoribosyltransferasenicotinamide phosphoribosyltransferase, humanReceptors, GlutamateSurvivinTP73 protein, humanTumor Protein p73Tumor Suppressor Proteins

Identifiers

PMID34790823
PMCPMC8592714
OpenAlexW3214333524

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 Socratic graph.