Evidence map›Paper›PMID 35614390›Full record

ArticleBMC neurology2022

Identification of an endoplasmic reticulum stress-related signature associated with clinical prognosis and immune therapy in glioma.

Lianxin Li, Zhihao Yang, Yinfei Zheng, Zhigang Chen, Xiaoyu Yue, Erbao Bian, Bing Zhao

Open access · goldAbstract read
In one paragraph

Article in BMC neurology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.7field-weighted citation impact, top 37% 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

5 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Review
  3. Glycosylation Regulation by TMEM230 in Aging and Autoimmunity.International journal of molecular sciences · 2025
    Article
  4. Review
  5. 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

7 authors at 2 institutions in 1 country.

Lianxin Li *Department of Neurosurgery, The Second Affiliated Hospital of Anhui Medical University, Hefei, 230601, China.
Zhihao Yang *Department of Neurosurgery, The Second Affiliated Hospital of Anhui Medical University, Hefei, 230601, China.
Yinfei ZhengDepartment of Neurosurgery, The Second Affiliated Hospital of Anhui Medical University, Hefei, 230601, China.
Zhigang ChenDepartment of Neurosurgery, The Second Affiliated Hospital of Anhui Medical University, Hefei, 230601, China.
Xiaoyu YueDepartment of Neurosurgery, The Second Affiliated Hospital of Anhui Medical University, Hefei, 230601, China.
Erbao BianDepartment of Neurosurgery, The Second Affiliated Hospital of Anhui Medical University, Hefei, 230601, China. bianerbao@ahmu.edu.cn.
Bing ZhaoDepartment of Neurosurgery, The Second Affiliated Hospital of Anhui Medical University, Hefei, 230601, China. aydzhb@126.com.
Second Hospital of Anhui Medical University · CNAnhui Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGlioma is the most common brain tumor in adults and is characterized by a short survival time and high resistance to chemotherapy. It is imperative to determine the prognosis and therapy-related targets for glioma. Endoplasmic reticulum stress (ERS), as an adaptive protective mechanism, indicates the unfolded protein response (UPR) to determine cell survival and affects chemotherapy sensitivity, which is related to the prognosis of glioma.

methodsOur research used the TCGA database as the training group and the CGGA database as the testing group. Lasso regression and Cox analysis were performed to construct an ERS signature-based risk score model in glioma. Three methods (time-dependent receiver operating characteristic analysis and multivariate and univariate Cox regression analysis) were applied to assess the independent prognostic effect of texture parameters. Consensus clustering was used to classify the two clusters. In addition, functional and immune analyses were performed to assess the malignant process and immune microenvironment. Immunotherapy and anticancer drug response prediction were adopted to evaluate immune checkpoint and chemotherapy sensitivity.

resultsThe results revealed that the 7-gene signature strongly predicts glioma prognosis. The two clusters have markedly distinct molecular and prognostic features. The validation group result revealed that the signature has exceptional repeatability and certainty. Functional analysis showed that the ERS-related gene signature was closely associated with the malignant process and prognosis of tumors. Immune analysis indicated that the ERS-related gene signature is strongly related to immune infiltration. Immunotherapy and anticancer drug response prediction indicated that the ERS-related gene signature is positively correlated with immune checkpoint and chemotherapy sensitivity.

conclusionsCollectively, the ERS-related risk model can provide a novel signature to predict glioma prognosis and treatment.

Indexed as

Brain NeoplasmsGliomaAdultEndoplasmic Reticulum StressHumansPrognosisRisk FactorsTumor MicroenvironmentEndoplasmic reticulum stressFunctionGene signatureGliomaImmune therapyPrognosis

Identifiers

PMID35614390
PMCPMC9131635
OpenAlexW4281477939

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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.