Transcriptome sequencing identifies prognostic genes involved in gastric adenocarcinoma.

Mingyue Li, Miao Bai, Yulun Wu, Shuo Yang, Lihua Zheng, Luguo Sun, Chunlei Yu, Yanxin Huang

Abstract read

In one paragraph

Article in Molecular and cellular biochemistry, 2023. 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

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5 · Who and what money

Authors and funding

8 authors.

Mingyue Li *National Engineering Laboratory for Druggable Gene and Protein Screening, Northeast Normal University, Changchun, 130024, China.

Miao Bai *National and Local Joint Engineering Research Center of Storage, Processing and Safety Control Technology for Fresh Agricultural and Aquatic Products, Bohai University, Jinzhou, 121013, China.

Yulun WuNational Engineering Laboratory for Druggable Gene and Protein Screening, Northeast Normal University, Changchun, 130024, China.

Shuo YangNational Engineering Laboratory for Druggable Gene and Protein Screening, Northeast Normal University, Changchun, 130024, China.

Lihua ZhengNational Engineering Laboratory for Druggable Gene and Protein Screening, Northeast Normal University, Changchun, 130024, China.

Luguo SunNational Engineering Laboratory for Druggable Gene and Protein Screening, Northeast Normal University, Changchun, 130024, China.

Chunlei YuNational Engineering Laboratory for Druggable Gene and Protein Screening, Northeast Normal University, Changchun, 130024, China.

Yanxin HuangNational Engineering Laboratory for Druggable Gene and Protein Screening, Northeast Normal University, Changchun, 130024, China. huangyx356@nenu.edu.cn.

Funding

Natural Nature Science Foundation of China 81700709Research Foundation of Jilin Provincial Science & Technology Development 20180520105JHSystems Biology Research on Genome and Transcriptome of Stem Cells (2017030) of Jilin Province Sunbird Regenerative Medical Engineering Co., Ltd 2017030

6 · The paper itself

Abstract

Gastric adenocarcinoma (GAC) is one of the world's most lethal malignant tumors. It has been established that the occurrence and progression of GAC are linked to molecular changes. However, the pathogenesis mechanism of GAC remains unclear. In this study, we sequenced 6 pairs of GAC tumor tissues and adjacent normal tissues and collected GAC gene expression profile data from the TCGA database. Analysis of this data revealed 465 differentially expressed genes (DEGs), of which 246 were upregulated and 219 were downregulated. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis demonstrated that DEGs were observably enriched in ECM-receptor interaction, protein digestion and absorption, and gastric acid secretion pathways. Six key genes (MATN3, COL1A1, COL5A2, P4HA3, SERPINE1 and VCAN) associated with poor GAC prognosis were screened from the protein‒protein interaction (PPI) network by survival analysis, and P4HA3 and MATN3 have rarely been reported to be associated with GAC. We further analyzed the function of P4HA3 in the GAC cell line SGC-7901 by RT‒qPCR, MTT, flow cytometry, colony formation, wound healing, Transwell and western blot assays. We found that P4HA3 was upregulated in the SGC-7901 cell line versus normal control cells. The outcomes of the loss-of-function assay illustrated that P4HA3 significantly enhanced the ability of GAC cells to proliferate and migrate. This study provides a new basis for the selection of prognostic markers and therapeutic targets for GAC.

Indexed as

AdenocarcinomaStomach NeoplasmsComputational BiologyGene Expression ProfilingGene Expression Regulation, NeoplasticGene Regulatory NetworksHumansProcollagen-Proline DioxygenasePrognosisTranscriptomeP4HA3 protein, humanProcollagen-Proline DioxygenaseGastric adenocarcinomaMigrationP4HA3ProliferationTCGATranscriptome sequencing

Identifiers

PMID36944795

DOI10.1038/s42003-021-02323-7

What Socratic holds

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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.