Evidence map›Paper›PMID 32378707›Full record

ArticleBioscience reports2020

Profiles of immune infiltration and its relevance to survival outcome in meningiomas.

Xiaodong Chen, Fen Tian, Peng Lun, Yugong Feng

Open access · goldAbstract read
In one paragraph

Article in Bioscience reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.0field-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

8 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
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  8. mFrontiers in oncology · 2021
    Article
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 1 institution in 1 country.

Xiaodong ChenDepartment of Neurosurgery, The Affiliated Hospital of Qingdao University, 266003, Qingdao, Shandong, P.R.C.
Fen TianDepartment of Nephrology, The Affiliated Hospital of Qingdao University, 266003, Qingdao, Shandong, P.R.C.
Peng LunDepartment of Neurosurgery, The Affiliated Hospital of Qingdao University, 266003, Qingdao, Shandong, P.R.C.
Yugong FengDepartment of Neurosurgery, The Affiliated Hospital of Qingdao University, 266003, Qingdao, Shandong, P.R.C.
Qingdao University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tumor-infiltrating immune cells play a decisive part in prognosis and survival. Until now, previous researches have not made clear about the diversity of cell types involved in the immune response. The objective of this work was to confirm the composition of tumor-infiltrating immune cells and their correlation with prognosis in meningiomas based on a metagene approach (known as CIBERSORT) and online databases. A total of 22 tumor-infiltrating immune cells were detected to determine the relationship between the immune infiltration pattern and survival. The proportion of M2 macrophages was more abundant in 68 samples, reaching more than 36%. Univariate Cox regression analysis displayed that the proportion of dendritic cells was obviously related to prognosis. Hierarchical clustering analysis identified two clusters by the method of within sum of squares errors, which exhibited different infiltrating immune cell composition and survival. To summarize, our results indicated that proportions of tumor-infiltrating immune cells as well as cluster patterns were associated with the prognosis, which offered clinical significance for research of meningiomas.

Indexed as

Biomarkers, TumorDatabases, GeneticDendritic CellsGene Expression ProfilingHumansImmunophenotypingMeningeal NeoplasmsMeningiomaPhenotypePrognosisRisk AssessmentRisk FactorsTranscriptomeTumor-Associated MacrophagesTumor MicroenvironmentBiomarkers, Tumorimmune infiltrationmeningiomasprognosisproportion

Identifiers

PMID32378707
PMCPMC7225412
OpenAlexW3022772257

What OpenQuestion holds

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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.