Evidence map›Paper›PMID 37610668›Full record

ArticleFunctional & integrative genomics2023

Cuproptosis-related gene SLC31A1 expression correlates with the prognosis and tumor immune microenvironment in glioma.

Jun Wang, Shenglun Li, Yuduo Guo, Chao Zhao, Yujia Chen, Weihai Ning, Jingjing Yang, Hongwei Zhang

Open access · hybridAbstract read
In one paragraph

Article in Functional & integrative genomics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
20.4field-weighted citation impact, top 1% 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

27 citing papers in PubMed, 41 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

8 authors at 2 institutions in 1 country.

Jun Wang *Department of Neurosurgery, Sanbo Brain Hospital, Capital Medical University, Beijing, China.
Shenglun Li *Department of Neurosurgery, Sanbo Brain Hospital, Capital Medical University, Beijing, China.
Yuduo GuoDepartment of Neurosurgery, Sanbo Brain Hospital, Capital Medical University, Beijing, China.
Chao ZhaoDepartment of Neurosurgery, Sanbo Brain Hospital, Capital Medical University, Beijing, China.
Yujia ChenDepartment of Neurosurgery, Sanbo Brain Hospital, Capital Medical University, Beijing, China.
Weihai NingDepartment of Neurosurgery, Sanbo Brain Hospital, Capital Medical University, Beijing, China.
Jingjing YangDepartment of Neurosurgery, Sanbo Brain Hospital, Capital Medical University, Beijing, China.
Hongwei ZhangDepartment of Neurosurgery, Sanbo Brain Hospital, Capital Medical University, Beijing, China. zhanghongwei@ccmu.edu.cn.
Capital Medical University · CNBeijing Sanbo Brain Hospital · CN

Funding

National Key Research and Development Program of China 2020YFC2004706
6 · The paper itself

Abstract

Cuproptosis is a newly discovered form of cell death. It is regulated by a string of genes. The genes are identified to influence the tumor progression, but in glioma, the cuproptosis-related genes are little studied. The Cancer Genome Atlas (TCGA) and the Genotype-Tissue Expression (GTEx) were used to screen for SLC31A1 gene expression in glioma and healthy tissue samples. The results were validated using the Gene Expression Omnibus (GEO) and quantitative real-time polymerase chain reaction (qPCR). The Human Protein Atlas (HPA) and the National Cancer Institute's Clinical Proteomic Tumor Analysis Consortium (CPTAC) were used to validate our results at the protein level. Multivariable analysis and Kaplan-Meier survival curves were used to examine the relationship among SLC31A1 gene expression, clinical parameters, and survival rates. The online Search Tool for the Retrieval of Interacting Genes/Proteins (STRING) was used to find the genes and proteins that correlate to SLC31A1. The immune infiltration analysis was performed using the Tumor Immune Estimation Resource (TIMER) databases. Small interfering RNA was used to knock down the SLC31A1 expression, and the cell proliferation, apoptosis, and migration were analyzed using cell counting kit-8, flow cytometry, and transwell. The glioma patients have higher SLC31A1 expression levels, which increase as the World Health Organization (WHO) grade escalates. The survival analysis illustrates that the SLC31A1 gene expression negatively correlates with overall survival (OS), progression-free survival (PFS), and disease-specific survival (DSS). The immune infiltration analysis shows the SLC31A1 gene positively correlates with T helper 2 (Th2) cells, macrophages, and M2-type macrophages and negatively correlates with plasmacytoid dendritic cells (pDCs), natural killer (NK) CD56bright cells, and CD8 T cells. The in vitro KD experiment shows the SLC31A1 knockdown depressed the glioma cell proliferation and migration and promoted the apoptosis rate. The SLC31A1 gene expression can shorten the survival time of glioma patients. In vitro study shows that SLC31A1 can promote cell proliferation, and migration, and depress the cell apoptosis of glioma cells. It also can promote the formation of a tumor-suppressive microenvironment.

Indexed as

ApoptosisGliomaProteomicsCell ProliferationCopperCopper Transporter 1HumansMacrophagesTumor MicroenvironmentCopperCopper Transporter 1SLC31A1 protein, humanApoptosisCuproptosisGliomaImmuneMigrationProliferationSLC31A1Tumor microenvironment

Identifiers

PMID37610668
PMCPMC10447603
OpenAlexW4386084423

What OpenQuestion holds

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LicenceCC BY
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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.