Evidence map›Paper›PMID 36713584›Full record

ArticleFrontiers in oncology2022

DUSP10 upregulation is a poor prognosticator and promotes cell proliferation and migration in glioma.

Fang Zhou, Lingfeng Zeng, Xi Chen, Fan Zhou, Zhen Zhang, Yixiao Yuan, Heping Wang, Huayi Yao, Jintao Tian, Xujie Liu and 6 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-weighted citation impact, top 26% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
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  3. Human mutation · 2025
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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

16 authors at 8 institutions in 2 countries.

Fang ZhouHunan University of Chinese Medicine, Changsha, China.
Lingfeng ZengCarol & Richard Yu Peritoneal Dialysis Research Centre, Department of Medicine and Therapeutics, Prince of Wales Hospital, Shatin, Hong Kong, Hong Kong SAR, China.
Xi ChenDepartment of Neurosurgery, The Second Affiliated Hospital of Kunming Medical University, Kunming, China.
Fan ZhouDepartment of Hematology, The Second Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China.
Zhen ZhangDepartment of Oncology, the Affiliated Hospital of Hunan Academy of Traditional Chinese Medicine, Changsha, China.
Yixiao YuanKey Laboratory of Molecular Oncology and Epigenetics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Heping WangDepartment of Neurosurgery, The Second Affiliated Hospital of Kunming Medical University, Kunming, China.
Huayi YaoDepartment of Neurosurgery, The Second Affiliated Hospital of Kunming Medical University, Kunming, China.
Jintao TianDepartment of Neurosurgery, The Second Affiliated Hospital of Kunming Medical University, Kunming, China.
Xujie LiuDepartment of Neurosurgery, The Second Affiliated Hospital of Kunming Medical University, Kunming, China.
Jinxi ZhaoDepartment of Neurosurgery, The Second Affiliated Hospital of Kunming Medical University, Kunming, China.
Xiaobin HuangDepartment of Neurosurgery, The Second Affiliated Hospital of Kunming Medical University, Kunming, China.
Jun PuDepartment of Neurosurgery, The Second Affiliated Hospital of Kunming Medical University, Kunming, China.
William C ChoDepartment of Clinical Oncology, Queen Elizabeth Hospital, Hong Kong, Hong Kong SAR, China.
Jianxiong CaoDepartment of Oncology, The First Hospital of Hunan University of Chinese Medicine, Changsha, China.
Xiulin JiangKunming College of Life Science, University of Chinese Academy of Sciences, Beijing, China.
Kunming Medical University · CNChinese University of Hong Kong · HKChongqing Medical University · CNFirst Affiliated Hospital of Hunan University of Traditional Chinese Medicine · CNHunan Academy of Traditional Chinese Medicine · CNHunan University of Traditional Chinese Medicine · CNQueen Elizabeth Hospital · CNUniversity of Chinese Academy of Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dual-specificity phosphatase 10 (DUSP10) correlates with inflammation, cytokine secretion, cell proliferation, survival, and apoptosis. However, its role in glioma is unclear. Herein, we sought to examine the expression and the underlying carcinogenic mechanisms of DUSP10 action in glioma. DUSP10 expression in glioma was significantly higher than that in normal brain tissues. High DUSP10 expression indicated adverse clinical outcomes in glioma patients. Increased DUSP10 expression correlated significantly with clinical features in glioma. Univariate Cox analysis showed that high DUSP10 expression was a potential independent marker of poor prognosis in glioma. Furthermore, DUSP10 expression in glioma correlated negatively with its DNA methylation levels. DNA methylation level of DUSP10 also correlated negatively with poor prognosis in glioma. More importantly, DUSP10 expression correlated positively with the infiltration of B cells, CD4+ T cells, CD8+ T cells, neutrophils, macrophages, and dendritic cells in glioma. Gene set enrichment analysis (GSEA) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis confirmed that DUSP10 participated in signaling pathways involved in focal adhesion, TNF cascade, Th17 cell differentiation, and NF-kappa B cascade. Finally, we uncovered that DUSP10 was dramatically upregulated in glioblastoma (GBM) cells and that the knockdown of DUSP10 inhibited glioma cell proliferation and migration. Our findings suggested that DUSP10 may serve as a potential prognostic biomarker in glioma.

Indexed as

cell migrationcell proliferationDUSP10gliomaprognosticator

Identifiers

PMID36713584
PMCPMC9874937
OpenAlexW4315498214

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.