Evidence map›Paper›PMID 31803233›Full record

ArticleFrontiers in genetics2019

Identification of a Tumor Microenvironment-Related Eight-Gene Signature for Predicting Prognosis in Lower-Grade Gliomas.

Jun Su, Wenyong Long, Qianquan Ma, Kai Xiao, Yang Li, Qun Xiao, Gang Peng, Jian Yuan, Qing Liu

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
3.5field-weighted citation impact, top 6% 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

23 citing papers in PubMed, 32 citations in OpenAlex.

  1. Article
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  4. Cuprotosis clusters predict prognosis and immunotherapy response in low-grade glioma.Apoptosis : an international journal on programmed cell death · 2024
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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 3 institutions in 1 country.

Jun SuDepartment of Neurosurgery in Xiangya Hospital, Central South University, Changsha, China.
Wenyong LongDepartment of Neurosurgery in Xiangya Hospital, Central South University, Changsha, China.
Qianquan MaDepartment of Neurosurgery in Peking University Third Hospital, Peking University, Beijing, China.
Kai XiaoDepartment of Neurosurgery in Xiangya Hospital, Central South University, Changsha, China.
Yang LiDepartment of Neurosurgery in Xiangya Hospital, Central South University, Changsha, China.
Qun XiaoDepartment of Neurosurgery in Xiangya Hospital, Central South University, Changsha, China.
Gang PengDepartment of Neurosurgery in Xiangya Hospital, Central South University, Changsha, China.
Jian YuanDepartment of Neurosurgery in Xiangya Hospital, Central South University, Changsha, China.
Qing LiuDepartment of Neurosurgery in Xiangya Hospital, Central South University, Changsha, China.
Central South University · CNXiangya Hospital Central South University · CNPeking University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lower-grade gliomas (LrGG), characterized by invasiveness and heterogeneity, remain incurable with current therapies. Clinicopathological features provide insufficient information to guide optimal individual treatment and cannot predict prognosis completely. Recently, an increasing amount of studies indicate that the tumor microenvironment plays a pivotal role in tumor malignancy and treatment responses. However, studies focusing on the tumor microenvironment (TME) of LrGG are still limited. In this study, taking advantage of the currently popular computational methods for estimating the infiltration of tumor-associated normal cells in tumor samples and using weighted gene co-expression network analysis, we screened the co-expressed gene modules associated with the TME and further identified the prognostic hub genes in these modules. Furthermore, eight prognostic hub genes (

Indexed as

immune cells infiltrationlower-grade gliomasprognosistumor microenvironmentweighted gene co-expression network analysis

Identifiers

PMID31803233
PMCPMC6872675
OpenAlexW2981896755

What OpenQuestion holds

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Registered trials

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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.