Evidence map›Paper›PMID 39659938›Full record

ArticleAmerican journal of cancer research2024

Bioinformatics- and quantitative proteomics-based identification of gastric adenocarcinoma-related proteins and analysis.

Wenbo Liu, Yong Li, Liqiao Fan, Mingming Zhang, Xiaohan Zhao, Yanru Song, Bingjie Huo, Bingyu Wang, Yingying Wang, Chao Song and 2 more

Abstract read
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Article in American journal of cancer research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

12 authors.

Wenbo LiuThird Department of Surgery, The Fourth Hospital of Hebei Medical University Shijiazhuang 050011, Hebei, China.
Yong LiThird Department of Surgery, The Fourth Hospital of Hebei Medical University Shijiazhuang 050011, Hebei, China.
Liqiao FanThird Department of Surgery, The Fourth Hospital of Hebei Medical University Shijiazhuang 050011, Hebei, China.
Mingming ZhangClinical Medicine Research Center, Hebei General Hospital Shijiazhuang 050051, Hebei, China.
Xiaohan ZhaoDepartment of Radiotherapy, The Fourth Hospital of Hebei Medical University Shijiazhuang 050011, Hebei, China.
Yanru SongResearch Center, The Fourth Hospital of Hebei Medical University Shijiazhuang 050011, Hebei, China.
Bingjie HuoDepartment of Traditional Chinese Medicine, The Fourth Hospital of Hebei Medical University Shijiazhuang 050011, Hebei, China.
Bingyu WangThird Department of Surgery, The Fourth Hospital of Hebei Medical University Shijiazhuang 050011, Hebei, China.
Yingying WangThird Department of Surgery, The Fourth Hospital of Hebei Medical University Shijiazhuang 050011, Hebei, China.
Chao SongThird Department of Surgery, The Fourth Hospital of Hebei Medical University Shijiazhuang 050011, Hebei, China.
Buyun SongThird Department of Surgery, The Fourth Hospital of Hebei Medical University Shijiazhuang 050011, Hebei, China.
Bibo TanThird Department of Surgery, The Fourth Hospital of Hebei Medical University Shijiazhuang 050011, Hebei, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe emergence of immune resistance and a lack of effective therapeutic targets have become significant challenges in immunotherapy, highlighting the urgent need for new molecular markers and treatment targets. Moreover, the significance and mechanisms of PGRN (Progranulin) in gastric cancer remain ambiguous.

objectiveTo identify differentially expressed proteins in gastric cancer and elucidate the function and mechanism of PGRN.

methodsThe data-independent acquisition proteomics was used to identify the differentially expressed proteins in gastric adenocarcinoma and the corresponding paraneoplastic tissues, providing a comprehensive dataset of gastric cancer-related proteins. The function and mechanism of PGRN in gastric cancer were further explored using a series of experiments, including RT-qPCR (Real Time-Quantitative Polymerase Chain Reaction), cell transfection, cell viability assays, cell scratch, immunohistochemistry and Transwell assays, Western blot, and a mouse tumor-bearing model. These investigations were combined with bioinformatics analyses to examine the relationship between PGRN expression and clinical-pathological characteristics, confirming its high expression of PGRN in gastric cancer tissues.

resultsWe identified a large number of differentially expressed proteins between gastric cancer and adjacent tissues and conducted an initial functional analysis. Further studies on PGRN showed that it was associated with gastric cancer prognosis and lymph node metastasis. The inhibition of PGRN expression led to reduced cell viability, migration, and invasion, with corresponding changes in related genes and proteins. In a mouse tumor-bearing model, the tumor growth of the subcutaneously transplanted tumors in nude mice was reduced after the inhibition of PGRN expression. An in-depth functional analysis of PGRN was performed using bioinformatics to predict protein interactions, miRNA regulation, and relationships with multiple immune cell types. Enrichment analysis indicated that PGRN is involved in multiple signaling pathways, with the MAPK (Mitogen-Activated Protein Kinase) pathway selected for validation. In AGS and HGC27 cells, PGRN inhibition led to increased expression of phosphorylated p38 (p-p38) in the MAPK pathway, suggesting that PGRN may promote gastric cancer development by regulating p-p38.

conclusionsThis study identified significant differences in protein expression between gastric adenocarcinoma and adjacent tissues, with PGRN emerging as a key protein influencing gastric cancer proliferation, migration, and invasion. These findings suggest that PGRN could serve as a potential therapeutic target for gastric cancer.

Indexed as

bioinformaticsfunctional analysisGastric cancerPGRNquantitative proteomics

Identifiers

PMID39659938
PMCPMC11626274

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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 Socratic graph.