Evidence map›Paper›PMID 33503296›Full record

ArticleImmunity, inflammation and disease2021

Development of a prognostic index based on immunogenomic landscape analysis in glioma.

Haitao Luo, Chuming Tao, Peng Wang, Jingying Li, Kai Huang, Xingen Zhu

Abstract read
In one paragraph

Article in Immunity, inflammation and disease, 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
–field-weighted citation impact
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

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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.

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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

6 authors.

Haitao LuoDepartment of Neurosurgery, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China.ORCID 0000-0001-9795-5900
Chuming TaoDepartment of Neurosurgery, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China.
Peng WangDepartment of Neurosurgery, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China.
Jingying LiDepartment of Comprehensive Intensive Care Unit, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China.
Kai HuangDepartment of Neurosurgery, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China.
Xingen ZhuDepartment of Neurosurgery, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGlioma is the most common intracranial tumor. The inflammatory response actively participates in the malignancy of gliomas. There is still limited knowledge about the biological function of immune-related genes (IRGs) and their potential involvement in the malignancy of gliomas.

methodsWe screened differentially expressed and survival-associated IRGs, and explored their potential molecular characteristics. Then we developed a prognostic index derived from seven hub IRGs. A prognostic nomogram was built to indicate the prognostic value of the prognostic index and seven IRGs. We characterized the immune infiltration landscape to analyze tumor-immune interactions. The real-time quantitative polymerase chain reaction assay was performed to validate bioinformatics results.

resultsThe differentially expressed IRGs are involved in cell chemotaxis, cytokine activity, and the chemokine-mediated signaling pathway. The prognostic index derived from seven IRGs had clinical prognostic value in glioma, and positively correlated with the malignant clinicopathological characteristics. A nomogram further indicated that the prognostic index and seven hub IRGs had clinical prognostic value for gliomas. We revealed that the prognostic index could reflect the state of the glioma immune microenvironment.

conclusionThis study demonstrates the importance of an IRG-based prognostic index as a potential biomarker for predicting malignancy in gliomas.

Indexed as

Gene Expression Regulation, NeoplasticGliomaComputational BiologyHumansPrognosisTumor Microenvironmentgliomaimmune-related genesimmunotherapyprognosis index

Identifiers

PMID33503296
PMCPMC8127549

What Socratic holds

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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 Socratic graph.