Evidence map›Paper›PMID 39485579›Full record

ArticleDiscover oncology2024

Identification and validation of CCN family genes to predict the prognosis in gastric cancer.

Huanting Chen, Xiaomin Zhang, Zhe Zhang, Guoqiang Li, Xin Li, Siran Yang, Yajie Liu, Mengqi Yang

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In one paragraph

Article in Discover oncology, 2024. 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
–field-weighted citation impact
1 · What the graph read from it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Huanting Chen *Shenzhen Key Laboratory of Gastrointestinal Cancer Translational Research, Shenzhen, 518036, China.
Xiaomin Zhang *Department of Radiation Oncology, Peking University Shenzhen Hospital, 1120 Lianhua Road, Shenzhen, 518036, Guangdong, China.
Zhe Zhang *Department of Radiation Oncology, Peking University Shenzhen Hospital, 1120 Lianhua Road, Shenzhen, 518036, Guangdong, China.
Guoqiang LiDepartment of Radiation Oncology, Peking University Shenzhen Hospital, 1120 Lianhua Road, Shenzhen, 518036, Guangdong, China.
Xin LiDepartment of Radiation Oncology, Peking University Shenzhen Hospital, 1120 Lianhua Road, Shenzhen, 518036, Guangdong, China.
Siran YangDepartment of Radiation Oncology, Peking University Shenzhen Hospital, 1120 Lianhua Road, Shenzhen, 518036, Guangdong, China.
Yajie LiuDepartment of Radiation Oncology, Peking University Shenzhen Hospital, 1120 Lianhua Road, Shenzhen, 518036, Guangdong, China. liuyajie_pkuszh@163.com.
Mengqi YangDepartment of Radiation Oncology, Peking University Shenzhen Hospital, 1120 Lianhua Road, Shenzhen, 518036, Guangdong, China. yangmq_sysu@163.com.

Funding

Shenzhen City San Ming project SZSM202211036Shenzhen Science and Technology Innovation Program JCYJ20220531093612027
6 · The paper itself

Abstract

backgroundGastric cancer (GC) is a deadly malignancy with an ever-increasing incidence worldwide. The cellular communication network (CCN) family serves as matricellular proteins and exerts their various functions via regulating cell proliferation and differentiation. This study aimed to perform an integrated analysis of CCNs to predict the prognosis in GC.

methodsThe microarray datasets were obtained from Gene Expression Omnibus database to identify the differentially expressed genes between GC and non-tumor tissues. Functional enrichment and genetic alteration analysis revealed the biological functions and alteration status associated with CCNs. We analyzed the mRNA and protein expressions of CCN family in GC patients. Furthermore, the prognostic value of distinct CCN family members were analyzed using the Kaplan-Meier plotter database. Finally, the human gastric cancer cell lines were used for in vitro experiments to further validate the role of WISP1.

results26 genes were firstly identified to be significantly highly expressed in gastric tumor tissues. CCN family genes were identified to predict the prognosis in GC. Among the six CCNs, WISP1 is upregulated in GC tissues and its highly expression is associated with poor survival in GC patients. Moreover, a significant correlation is found between the expression of WISP1 and the pathological stage of patients with GC. Additionally, in vitro experiments demonstrated that WISP1 promotes the proliferation and invasive potential of GC cells, suggesting it may be a potential therapeutic target for GC.

conclusionsA comprehensive bioinformatic analysis of CCN genes provides new insights into the potential roles of this family in GC. Importantly, WISP1 may be a good prognostic predictor and a potential therapeutic target for GC.

Indexed as

BiomarkerCCN familyGastric cancerPrognosisWISP1

Identifiers

PMID39485579
PMCPMC11530581

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