期刊论文详细信息
BMC Medical Genomics
Identification of miR-143-3p as a diagnostic biomarker in gastric cancer
Research
Hyeokjin Kwon1  Hyunwoo Jin1  Kyung Eun Lee1  Go-Eun Choi1  Jungho Kim1  Myeongguk Jeong1  Dong Hyeok Kim1  Kyung-Yae Hyun2  Aelee Jang3  Moon Won Lee4  Yeongdon Ju5 
[1] Department of Clinical Laboratory Science, College of Health Sciences, Catholic University of Pusan, 46252, Busan, Republic of Korea;Department of Clinical Laboratory Science, Dong-Eui University, 47340, Busan, Republic of Korea;Department of Nursing, University of Ulsan, 44610, Ulsan, Republic of Korea;Division of Gastroenterology, Pusan National University Hospital, 49241, Busan, Republic of Korea;Department of Internal Medicine, Pusan National University College of Medicine, 49241, Busan, Republic of Korea;Medical Science Research Center, Pusan National University, 50612, Yangsan, Republic of Korea;Department of Clinical Laboratory Science, College of Health Sciences, Catholic University of Pusan, 46252, Busan, Republic of Korea;
关键词: Gastric cancer;    miR-143-3p;    Biomarker;    Bioinformatics;    Diagnosis;   
DOI  :  10.1186/s12920-023-01554-3
 received in 2023-01-20, accepted in 2023-05-19,  发布年份 2023
来源: Springer
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【 摘 要 】

BackgroundGastric cancer (GC) is among the most common types of gastrointestinal cancers and has a high incidence and mortality around the world. To suppress the progression of GC, it is essential to develop diagnostic markers. MicroRNAs regulate GC development, but a clearer insight into their role is needed before they can be applied as a molecular markers and targets.MethodsIn this study, we assessed the diagnostic value of differentially expressed microRNAs as potential diagnostic biomarkers for GC using data for 389 tissue samples from the Cancer Genome Atlas (TCGA) and 21 plasma samples from GC patients.ResultsThe expression of hsa-miR-143-3p (also known as hsa-miR-143) was significantly downregulated in GC according to the TCGA data and plasma samples. The 228 potential target genes of hsa-miR-143-3p were analyzed using a bioinformatics tool for miRNA target prediction. The target genes correlated with extracellular matrix organization, the cytoplasm, and identical protein binding. Furthermore, the pathway enrichment analysis of target genes showed that they were involved in pathways in cancer, the phosphoinositide 3-kinase (PI3K)–protein kinase B (Akt) signaling pathway, and proteoglycans in cancer. The hub genes in the protein–protein interaction (PPI) network, were matrix metallopeptidase 2 (MMP2), CD44 molecule (CD44), and SMAD family member 3 (SMAD3).ConclusionsThis study suggests that hsa-miR-143-3p may be used as a diagnostic marker for GC, contributing via the pathways involved in the development of GC.

【 授权许可】

CC BY   
© The Author(s) 2023

【 预 览 】
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【 参考文献 】
  • [1]
  • [2]
  • [3]
  • [4]
  • [5]
  • [6]
  • [7]
  • [8]
  • [9]
  • [10]
  • [11]
  • [12]
  • [13]
  • [14]
  • [15]
  • [16]
  • [17]
  • [18]
  • [19]
  • [20]
  • [21]
  • [22]
  • [23]
  • [24]
  • [25]
  • [26]
  • [27]
  • [28]
  • [29]
  • [30]
  • [31]
  • [32]
  • [33]
  • [34]
  • [35]
  • [36]
  • [37]
  • [38]
  • [39]
  • [40]
  • [41]
  • [42]
  • [43]
  • [44]
  • [45]
  • [46]
  • [47]
  • [48]
  • [49]
  • [50]
  • [51]
  • [52]
  • [53]
  • [54]
  • [55]
  • [56]
  • [57]
  • [58]
  • [59]
  • [60]
  • [61]
  • [62]
  • [63]
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