Evidence map›Paper›PMID 35117216›Full record

ArticleTranslational cancer research2020

Comprehensive analysis of transcriptome data stemness indices identifies key genes for controlling cancer stem cell characteristics in gastric cancer.

Xinxin Xia, Yuejun Li

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Article in Translational cancer research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

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11citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

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  8. Hepatocellular Carcinoma Subtyping and Prognostic Model Construction Based on Chemokine-Related Genes.Medical principles and practice : international journal of the Kuwait University, Health Science Centre · 2023
    Article
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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Xinxin XiaDepartment of Traditional Chinese Medicine, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Yuejun LiDepartment of Oncology, The Third Affiliated Hospital of Hunan University of Chinese Medicine, Zhuzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCancer stem cells (CSCs) are the tumor cell of origin with self-renewing ability and multi-differentiation potency. CSCs can play vital roles in gastric cancer (GC) metastasis and relapse. However, the genes that regulate the stemness maintenance of CSCs in GC patients remain largely unknown. In the present study, we sought to determine the key genes associated with stemness in GC patients.

methodsmRNA expression-based stemness index (mRNA SI) was analyzed with regard to the differential expression levels between normal and GC tissues, as well as clinical features and survival outcomes. Weighted gene co-expression network analysis (WGCNA) was performed to identify modules of interest and key genes. The differences in mRNA expression of key genes between normal and GC tissues were calculated by "ggpubr" package in R. Gene ontology (GO) and Kyoto encyclopedia of genes and genomes (KEGG) analysis were carried out to annotate the function of key genes. Protein-protein interaction (PPI) and gene co-expression analyses were conducted using STRING and "corrplot" package in R, respectively.

resultsmRNA SI score was markedly increased in GC tumor compared to normal tissues. High mRNA SI score was remarkably associated with more advanced tumor stage and higher pathologic grade, but longer survival times. Based on the results of WGCNA, 19 key genes (i.e.,

conclusionsour study identified 19 key genes that play vital roles in the stemness maintenance of CSCs in GC patients. Targeting these key genes may help to control CSC characteristics in GC.

Indexed as

Cancer stem cells (CSCs)gastric cancer (GC)weighted gene co-expression network analysis

Identifiers

PMID35117216
PMCPMC8797465

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