Tumor Biology

, Volume 37, Issue 7, pp 9411–9422 | Cite as

Gastric cardia adenocarcinoma microRNA profiling in Chinese patients

  • Shegan Gao
  • Fuyou Zhou
  • Chen Zhao
  • Zhikun Ma
  • Ruinuo Jia
  • Shuo Liang
  • Mengxi Zhang
  • Xiaojuan Zhu
  • Pengfei Zhang
  • Lu Wang
  • Feng Su
  • Jiangman Zhao
  • Gang Liu
  • Bo PengEmail author
  • Xiaoshan FengEmail author
Original Article


Gastric cardia adenocarcinoma (GCA), which occurs at the gastroesophageal boundary, is one of the most malignant types of cancer. Over the past 30 years, the incidence of GCA has increased by approximately sevenfold, which has a more substantial increase than that of many other malignancies. However, as previous studies mainly focus on non-cardia gastric cancer, until now, the mechanisms behind GCA remain largely unknown. MicroRNAs (miRNAs) have been shown to play pivotal roles in carcinogenesis. To gain insight into the molecular mechanisms regulated by miRNAs in GCA development, we investigated miRNA expression profiles using 81 pairs of primary GCAs and corresponding non-tumorigenic tissues. First, 21 pairs of samples were used for microarray analysis, and then another 60 pairs of samples were used for further analysis. Our results showed that 464 miRNAs (237 upregulated, 227 downregulated, false discovery rate FDR <0.05) were differently expressed between GCA and non-tumor tissues. Pearson test and pathway analysis revealed that these dysregulated miRNA correlated coding RNAs may have effects on several cancer-related pathways. Four miRNAs (miR-1244, miR-135b-5p, miR-3196, and miR-628-3p) were found to be associated with GCA differentiation. One miRNA, miR-196a-5p, was found to be associated with age of GCA onset. Further, survival analysis showed that the expression level of miR-135b-5p was associated with GCA survival. Taken together, our study first provided the genome-wide expression profiles of miRNA in GCA and will be good help for further functional studies.


microRNA Microarray Gastric cardia adenocarcinoma Differentiation miR135b-5p 



This work was supported by the Natural Science Foundation of China (NSFC, 81472234, GSG).

The authors would like to thank Professor LemingShi (Center for Pharmacogenomics, State Key Laboratory of Genetic Engineering and MOE Key Laboratory of Contemporary Anthropology, Schools of Life Sciences and Pharmacy, Fudan University, Shanghai 201203, China) for data analysis.

Compliance with ethical standards

Conflicts of interests


Supplementary material

13277_2016_4824_MOESM1_ESM.doc (400 kb)
Table S1 Significantly down- and up-regulated miRNAs. (DOC 400 kb)
13277_2016_4824_MOESM2_ESM.tif (125 kb)
Supplementary Fig S1 Validation of EIF2 pathway and mTOR pathway. A, fold change of four important genes in EIF2 pathway (tumor/normal); B, fold change of four important genes in mTOR pathway (tumor/normal). (TIF 125 kb)
13277_2016_4824_MOESM3_ESM.tif (5.2 mb)
Supplementary Fig. S2 Examples of well (A), medium (B), and poor (C)differentiation GCA samples (200×). (TIF 5291 kb)
13277_2016_4824_MOESM4_ESM.tif (5.8 mb)
ESM 1 (TIF 5931 kb)


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Copyright information

© International Society of Oncology and BioMarkers (ISOBM) 2016

Authors and Affiliations

  • Shegan Gao
    • 1
  • Fuyou Zhou
    • 2
  • Chen Zhao
    • 3
  • Zhikun Ma
    • 1
  • Ruinuo Jia
    • 1
  • Shuo Liang
    • 1
  • Mengxi Zhang
    • 1
  • Xiaojuan Zhu
    • 1
  • Pengfei Zhang
    • 1
  • Lu Wang
    • 4
  • Feng Su
    • 4
  • Jiangman Zhao
    • 4
  • Gang Liu
    • 1
  • Bo Peng
    • 4
    Email author
  • Xiaoshan Feng
    • 1
    • 5
    Email author
  1. 1.Henan Key Laboratory of Cancer Epigenetic; Cancer InstituteThe First Affiliated Hospital, and College of Clinical Medicine of Henan University of Science and Technology, Luoyang, China, 471003LuoyangChina
  2. 2.Department of OncologyAnyang People’s HospitalAnyangChina
  3. 3.Fudan-Zhangjiang Center for Clinical GenomicsShanghaiChina
  4. 4.Zhangjiang Center for Translational MedicineShanghaiChina
  5. 5.Henan University of Science and TechnologyLuoyangChina

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