Evidence map›Paper›PMID 37938417›Full record

ArticleDiscover oncology2023

Identification of m6A-associated genes as prognostic and immune-associated biomarkers in Wilms tumor.

Yingquan Zhuo, Wengqi Zhang, Jun Du, Hua Jiang, Guangtang Chen, Xiaoyun Feng, Huajian Gu

Abstract read
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Article in Discover oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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3 · Its place in the literature

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1 citing paper in PubMed.

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5 · Who and what money

Authors and funding

7 authors.

Yingquan Zhuo *Department of Pediatric Surgery, The Affiliated Hospital of Guizhou Medical University, Guiyang, 550004, China.
Wengqi Zhang *Department of Anesthesiology, The Affiliated Hospital of Guizhou Medical University, Guiyang, 550004, China.
Jun DuDepartment of Pediatric Surgery, The Affiliated Hospital of Guizhou Medical University, Guiyang, 550004, China.
Hua JiangDepartment of Pediatric Surgery, The Affiliated Hospital of Guizhou Medical University, Guiyang, 550004, China.
Guangtang ChenSchool of Clinical Medicine, Guizhou Medical University, Guiyang, 550004, China.
Xiaoyun FengSchool of Basic Medicine, Guizhou Medical University, Guiyang, 550004, China.
Huajian GuDepartment of Pediatric Surgery, The Affiliated Hospital of Guizhou Medical University, Guiyang, 550004, China. zhaoyaree@sina.com.

Funding

Guizhou Health and Health Commission Science and Technology Fund Project gzwkj2024-275Guizhou Provincial Teaching Content and Curriculum System Reform Project JG2023027Guizhou Science and Technology Foundation Program ZK[2023]-368Science and Technology Program of Guizhou Province ZK2022418
6 · The paper itself

Abstract

objectivesWilms tumor (WT) is a common renal malignant tumor in children. We aimed to investigate the potential prognostic value of m6A-related genes and their relationship to the immune microenvironment in WT.

methodsRNA-seq data and clinical information from 121 WT and 6 normal samples were obtained from the University of California Santa Cruz Xena database. We used various bioinformatics analysis tools to analyze these data and verify the expression level of m6A-related genes by experiments.

resultsFour m6A-related genes were successfully screened, including ADGRG2, CPD, CTHRC1, and LRTM2. Kaplan-Meier survival curves showed that the four genes were closely related to the prognosis of WT, which was also confirmed by receiver operator characteristic curves. Subsequently, in the immune microenvironment of WT, we discovered that Th1_cells were positively correlated with ADGRG2, CCR was negatively correlated with CPD, CCR was positively correlated with CTHRC1, APC_co_stimulation, CCR, Macrophages, inflammation-promoting cells, Treg, and Type_II_IFN_Reponse were negatively correlated with LRTM2. Finally, qRT-PCR showed that expression levels of the four genes were upregulated in the nephroblastoma cell lines (G-401, SK-NEP-1, and WT-CLS1) compared with the human embryonic kidney cell lines (293T).

conclusionsTaken together, our study first time screened the m6A-related genes and revealed that ADGRG2, CPD, CTHRC1, and LRTM2 are the prognostic and immune-associated biomarkers in WT.

Indexed as

Bioinformatics analysisImmune microenvironmentm6A RNA methylationTarget genesWilms tumor

Identifiers

PMID37938417
PMCPMC10632345

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