Evidence map›Paper›PMID 38427133›Full record

ArticleJournal of neuro-oncology2024

CPLX2 is a novel tumor suppressor and improves the prognosis in glioma.

Yuanbing Chen, Jieling Ning, Long Shu, Lingzhi Wen, Bokang Yan, Zuli Wang, Junhong Hu, Xiaokun Zhou, Yongguang Tao, Xuewei Xia and 1 more

Abstract read
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In one paragraph

Article in Journal of neuro-oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.9field-weighted citation impact, top 27% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

11 authors at 3 institutions in 1 country.

Yuanbing Chen *Department of Neurosurgery, Third Xiangya Hospital, Central South University, 410008, Changsha, Hunan, China.
Jieling Ning *National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, 410008, Changsha, Hunan, China.
Long ShuKey Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Department of Pathology, Xiangya Hospital, Central South University, 410078, Changsha, Hunan, China.
Lingzhi WenKey Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Department of Pathology, Xiangya Hospital, Central South University, 410078, Changsha, Hunan, China.
Bokang YanKey Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Department of Pathology, Xiangya Hospital, Central South University, 410078, Changsha, Hunan, China.
Zuli WangKey Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Department of Pathology, Xiangya Hospital, Central South University, 410078, Changsha, Hunan, China.
Junhong HuDepartment of Neurosurgery, Affiliated Hospital of Guilin Medical University, Guilin, Guangxi, China.
Xiaokun ZhouDepartment of Neurosurgery, Affiliated Hospital of Guilin Medical University, Guilin, Guangxi, China.
Yongguang TaoKey Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Department of Pathology, Xiangya Hospital, Central South University, 410078, Changsha, Hunan, China.
Xuewei XiaDepartment of Neurosurgery, Affiliated Hospital of Guilin Medical University, Guilin, Guangxi, China. xxw7456@163.com.
Jun HuangNational Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, 410008, Changsha, Hunan, China. Xyyyhj@csu.edu.cn.
Central South University · CNXiangya Hospital Central South University · CNGuilin Medical University · CN

Funding

Guangxi Zhuang Autonomous Region Health and Family Planning Commission Z20200664(X. Zhou)National Natural Science Foundation of China 81860449(X.Xia)National Natural Science Foundation of China 82160554 (J. Huang)Natural Science Foundation of Hunan Province 2020JJ8051 (J. Huang)
6 · The paper itself

Abstract

backgroundGlioma is a type of malignant cancer that affect the central nervous system. New predictive biomarkers have been investigated in recent years, but the clinical prognosis for glioma remains poor. The function of CPLX2 in glioma and the probable molecular mechanism of tumor suppression were the focus of this investigation.

methodsThe glioma transcriptome profile was downloaded from The Cancer Genome Atlas (TCGA) and Chinese Glioma Genome Atlas (CGGA) databases for analysis of CPLX2 expression in glioma. RT-qPCR was performed to detect the expression of CPLX2 in 68 glioma subjects who have been followed up. Kaplan-Meier survival analyses were conducted to assess the effect of CPLX2 on the prognosis of glioma patients. The knockdown and overexpressed cell lines of CPLX2 were constructed to investigate the impact of CPLX2 on glioma. The cell growth, colony formation, and tumor formation in xenograft were performed.

resultsThe expression of CPLX2 was downregulated in glioma and was negatively correlated with the grade of glioma. The higher expression of CPLX2 predicted a longer survival, as indicated by the analysis of Kaplan-Meier survival curves. Overexpressed CPLX2 impaired tumorigenesis in glioma progression both in vivo and in vitro. Knocking down CPLX2 promoted the proliferation of glioma cells. The analysis of GSEA and co-expression analysis revealed that CPLX2 may affect the malignancy of glioma by regulating the hypoxia and inflammation pathways.

conclusionsOur data indicated that CPLX2 functions as a tumor suppressor and could be used as a potential prognostic marker in glioma.

Indexed as

Adaptor Proteins, Vesicular TransportBrain NeoplasmsGliomaTumor Suppressor ProteinsHumansKaplan-Meier EstimateNerve Tissue ProteinsPrognosisTranscriptomeAdaptor Proteins, Vesicular Transportcomplexin IINerve Tissue ProteinsTumor Suppressor ProteinsCPLX2GliomaHypoxiaInflammationTumor suppressor gene

Identifiers

PMID38427133
OpenAlexW4392386883

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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.