Evidence map›Paper›PMID 34566988›Full record

ArticleFrontiers in immunology2021

Construction of Interferon-Gamma-Related Gene Signature to Characterize the Immune-Inflamed Phenotype of Glioblastoma and Predict Prognosis, Efficacy of Immunotherapy and Radiotherapy.

Hang Ji, Yixu Ba, Shuai Ma, Kuiyuan Hou, Shan Mi, Xin Gao, Jiaqi Jin, Qin Gong, Ting Liu, Fang Wang and 4 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
3.4field-weighted citation impact, top 7% 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

24 citing papers in PubMed, 31 citations in OpenAlex.

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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

14 authors at 6 institutions in 1 country.

Hang JiDepartment of Neurosurgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Yixu BaDepartment of Neurosurgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Shuai MaDepartment of Neurosurgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Kuiyuan HouDepartment of Neurosurgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Shan MiDepartment of Neurosurgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Xin GaoDepartment of Neurosurgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Jiaqi JinDepartment of Neurosurgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Qin GongSchool of Life Sciences, Nanjing University, Nanjing, China.
Ting LiuFaculty of Pharmacy, Harbin Medical University (DAQING), Daqing, China.
Fang WangDepartment of Neurosurgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Zhihui LiuDepartment of Neurosurgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Shupeng LiDepartment of Neurosurgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Jianyang DuDepartment of Neurosurgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Shaoshan HuDepartment of Neurosurgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Harbin Medical University · CNHeilongjiang Academy of Sciences · CNSecond Affiliated Hospital of Harbin Medical University · CNHangzhou Medical College · CNMinistry of Education of the People's Republic of China · CNNanjing University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Interferon-gamma (IFNG) has profound impacts on tumor-immune interaction and is of great clinical significance for multiple cancers. Exploring the role of IFNG in glioblastoma (GBM) may optimize the current treatment paradigm of this disease. Here, multi-dimensional data of 429 GBM samples were collected. Various bioinformatics algorithms were employed to establish a gene signature that characterizes immunological features, genomic alterations, and clinical characteristics associated with the IFNG response. In this way, a novel IFNG-related gene signature (IFNGrGS, including TGFBI, IL4I1, ACP5, and LUM) has been constructed and validated. Samples with increased IFNGrGS scores were characterized by increased neutrophil and macrophage infiltration and exuberant innate immune responses, while the activated adaptive immune response may be frustrated by multiple immunosuppressive mechanisms. Notably, the IFNG pathway as well as its antagonistic pathways including IL4, IL10, TGF-beta, and VEGF converged on the expression of immune checkpoints. Besides, gene mutations involved in the microenvironment were associated with the IFNGrGS-based stratification, where the heterogeneous prognostic significance of EGFR mutation may be related to the different degrees of IFNG response. Moreover, the IFNGrGS score had solid prognostic value and the potential to screen ICB and radiotherapy sensitive populations. Collectively, our study provided insights into the role of IFNG on the GBM immune microenvironment and offered feasible information for optimizing the treatment of GBM.

Indexed as

Gene Expression ProfilingImmunotherapyRadiation ToleranceTranscriptomeBiomarkers, TumorBrain NeoplasmsClinical Decision-MakingDatabases, GeneticDNA Copy Number VariationsGene DosageGlioblastomaHumansInflammationInterferon-gammaMutationPhenotypeBiomarkers, TumorIFNG protein, humanInterferon-gammaanti-tumor immune responseglioblastomaIFNG-related gene signatureimmune checkpoint blockade therapyinterferon-gammaradiotherapytumor immune microenvironment

Identifiers

PMID34566988
PMCPMC8461254
OpenAlexW3200029506

What OpenQuestion holds

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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 OpenQuestion graph.