High-Throughput Sequencing of miRNAs Reveals a Tissue Signature in Gastric Cancer and Suggests Novel Potential Biomarkers

被引:25
作者
Darnet, Sylvain [1 ]
Moreira, Fabiano C. [1 ,2 ]
Hamoy, Igor G. [1 ,3 ]
Burbano, Rommel [1 ,4 ]
Khayat, Andre [1 ,4 ]
Cruz, Aline [1 ]
Magalhaes, Leandro [1 ]
Silva, Artur [1 ]
Santos, Sidney [1 ,4 ]
Demachki, Samia [4 ,5 ]
Assumpcao, Monica [1 ,6 ]
Assumpcao, Paulo [4 ,6 ]
Ribeiro-dos-Santos, Andrea [1 ,4 ]
机构
[1] Fed Univ Para, Inst Ciencias Biol, BR-66059 Belem, Para, Brazil
[2] Ctr Univ Para, Area Ciencias Exatas & Tecnol, Belem, Para, Brazil
[3] Univ Fed Rural Amazonia, Belem, PA, Brazil
[4] Fed Univ Para, Nucleo Pesquisa Oncol, BR-66059 Belem, Para, Brazil
[5] Fed Univ Para, Inst Ciencias Saude, BR-66059 Belem, Para, Brazil
[6] Fed Univ Para, Hosp Univ Joao de Barros Barreto, BR-66059 Belem, Para, Brazil
关键词
gastric cancer; miRnome; biomarkers; NGS;
D O I
10.4137/BBI.S23773
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Gastric cancer has a high incidence and mortality rate worldwide; however, the use of biomarkers for its clinical diagnosis remains limited. The microRNAs (miRNAs) are biomarkers with the potential to identify the risk and prognosis as well as therapeutic targets. We performed the ultradeep miRnomes sequencing of gastric adenocarcinoma and gastric antrum without tumor samples. We observed that a small set of those samples were responsible for approximately 80% of the total miRNAs expression, which might represent a miRNA tissue signature. Additionally, we identified seven miRNAs exhibiting significant differences, and, of these, hsa-miR-135b and hsa-miR-29c were able to discriminate antrum without tumor from gastric cancer regardless of the histological type. These findings were validated by quantitative real-time polymerase chain reaction. The results revealed that hsa-miR-135b and hsa-miR-29c are potential gastric adenocarcinoma occurrence biomarkers with the ability to identify individuals at a higher risk of developing this cancer, and could even be used as therapeutic targets to allow individualized clinical management.
引用
收藏
页码:1 / 8
页数:8
相关论文
共 59 条
[41]   MicroRNA miR-183 Functions as an Oncogene by Targeting the Transcription Factor EGR1 and Promoting Tumor Cell Migration [J].
Sarver, Aaron L. ;
Li, Lihua ;
Subramanian, Subbaya .
CANCER RESEARCH, 2010, 70 (23) :9570-9580
[42]   Transcriptome Sequencing (RNA-seq) Analysis of the Effects of Metal Nanoparticle Exposure on the Transcriptome of Chlamydomonas reinhardtii [J].
Simon, Dana F. ;
Domingos, Rute F. ;
Hauser, Charles ;
Hutchins, Colin M. ;
Zerges, William ;
Wilkinson, Kevin J. .
APPLIED AND ENVIRONMENTAL MICROBIOLOGY, 2013, 79 (16) :4774-4785
[43]   Human survivin is a kinetochore-associated passenger protein [J].
Skoufias, DA ;
Mollinari, C ;
Lacroix, FB ;
Margolis, RL .
JOURNAL OF CELL BIOLOGY, 2000, 151 (07) :1575-1581
[44]   Cellular and molecular aspects of gastric cancer [J].
Smith, Malcolm G. ;
Hold, Georgina L. ;
Tahara, Eiichi ;
El-Omar, Emad M. .
WORLD JOURNAL OF GASTROENTEROLOGY, 2006, 12 (19) :2979-2990
[45]   Integrated MicroRNA Network Analyses Identify a Poor-Prognosis Subtype of Gastric Cancer Characterized by the miR-200 Family [J].
Song, Fengju ;
Yang, Da ;
Liu, Ben ;
Guo, Yan ;
Zheng, Hong ;
Li, Lian ;
Wang, Tao ;
Yu, Jinpu ;
Zhao, Yanrui ;
Niu, Ruifang ;
Liang, Han ;
Winkler, Hans ;
Zhang, Wei ;
Hao, Xishan ;
Chen, Kexin .
CLINICAL CANCER RESEARCH, 2014, 20 (04) :878-889
[46]   Systematic evaluation of the miRNA-ome and its downstream effects on mRNA expression identifies gastric cancer progression [J].
Tchemitsa, Oleg ;
Kasajima, Atsuko ;
Schaefer, Reinhold ;
Kuban, Ralf-Juergen ;
Ungethuem, Ute ;
Gyoerffy, Balazs ;
Neumann, Ulf ;
Simon, Eva ;
Weichert, Wilko ;
Ebert, Matthias P. A. ;
Roecken, Christoph .
JOURNAL OF PATHOLOGY, 2010, 222 (03) :310-319
[47]   Aberrant expression of miR-196a in gastric cancers and correlation with recurrence [J].
Tsai, Kuo-Wang ;
Liao, Yu-Lun ;
Wu, Chew-Wun ;
Hu, Ling-Yueh ;
Li, Sung-Chou ;
Chan, Wen-Ching ;
Ho, Meng-Ru ;
Lai, Chun-Hung ;
Kao, Hsiao-Wei ;
Fang, Wen-Liang ;
Huang, Kuo-Hung ;
Lin, Wen-Chang .
GENES CHROMOSOMES & CANCER, 2012, 51 (04) :394-401
[48]   Relation between microRNA expression and progression and prognosis of gastric cancer: a microRNA expression analysis [J].
Ueda, Tetsuya ;
Volinia, Stefano ;
Okumura, Hiroshi ;
Shimizu, Masayoshi ;
Taccioli, Cristian ;
Rossi, Simona ;
Alder, Hansjuerg ;
Liu, Chang-gong ;
Oue, Naohide ;
Yasui, Wataru ;
Yoshida, Kazuhiro ;
Sasaki, Hiroki ;
Nomura, Sachiyo ;
Seto, Yasuyuki ;
Kaminishi, Michio ;
Calin, George A. ;
Croce, Carlo M. .
LANCET ONCOLOGY, 2010, 11 (02) :136-146
[49]   Bayesian model accounting for within-class biological variability in Serial Analysis of Gene Expression (SAGE) -: art. no. 119 [J].
Vêncio, RZN ;
Brentani, H ;
Patrao, DFC ;
Pereira, CAB .
BMC BIOINFORMATICS, 2004, 5 (1)
[50]   Candidate microRNA Biomarkers in Human Gastric Cancer: A Systematic Review and Validation Study [J].
Wang, Ji-Lin ;
Hu, Ye ;
Kong, Xuan ;
Wang, Zhen-Hua ;
Chen, Hao-Yan ;
Xu, Jie ;
Fang, Jing-Yuan .
PLOS ONE, 2013, 8 (09)