4.5 Article

The Somatic Mutation Landscape and RNA Prognostic Markers in Stomach Adenocarcinoma

期刊

ONCOTARGETS AND THERAPY
卷 13, 期 -, 页码 7735-7746

出版社

DOVE MEDICAL PRESS LTD
DOI: 10.2147/OTT.S263733

关键词

STAD; mutation; ceRNA; lncRNA; prognostic marker

资金

  1. National Natural Science Foundation of China [81802094]
  2. Central Government Guides the Development of Local Science and Technology Special Funds of China [Z135050009017]

向作者/读者索取更多资源

Purpose: Stomach cancer is one of the highest incidence and mortality malignancies worldwide. Our study aimed to illustrate the somatic mutation landscape and identify molecular markers of stomach cancer. Materials and Methods: By integrated analysis of sequencing data and clinical data of stomach adenocarcinoma (STAD) from The Cancer Genome Atlas (TCGA) database, we identified several susceptibility genes and novel molecular markers and validated their potential function by the starBase website. Further, we validated the clinical value of two candidate lncRNAs in collected STAD samples by RT-qPCR. Results: We illustrated the distributions of mutation frequencies and types to get the top 20 high-mutation frequency genes in STAD. We also found 2127 mRNAs, 129 miRNAs, and 170 lncRNAs that were differentially expressed. We identified four IncRNA-miRNA-mRNA ceRNAs (PVT1, MAGI2-A53, MIR17HG, KCNQ1OT1). Besides, 27 mRNAs (PDE4C, ID1, AQP3, VCAN, FAR NOX4, ANGPT2, SERPINEE SPARC, PDGFRB, FN1, MFAP2, CSMD2, INHBA, COL10A1, MATN3, P4HA3, ADAMTS12, DGKI, OLFML2B, TMEM200A, FNDC1, CTIARCE CHST1, F5, COL5A2, TUBB3) and two lncRNAs (M1R4458HG, LINC01235) showed a significant prognostic value, and their prognostic values were validated by the starBase website. What's more, the clinical values of MIR4458HG and LINC01235 were also demonstrated in collected STAD samples. Conclusion: We constructed the lncRNA ceRNA networks and identified 20 high-mutation frequency genes and 29 prognostic markers (27 mRNAs and two lncRNAs).

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.5
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据