Identification of biomarkers for diagnosis of gastric cancer by bioinformatics.
BACKGROUND
We aimed to discover potential gene biomarkers for gastric cancer (GC) diagnosis.


METHODS
Genechips of 10 GC tissues and 10 gastric mucosa (GM, para-carcinoma tissue, normal control) tissues were generated using an exon array of Affymetrix containing 30,000 genes. The differentially expressed genes (DEGs) between GC tissues and normal control were identified by the Limma package and analyzed by hierarchical clustering analysis. Gene ontology (GO) and pathway enrichment analyses were performed for investigating the functions of DEGs. Receiver operating characteristics (ROC) analysis was performed to measure the effects of biomarker candidates for diagnosis of GC.


RESULTS
Totals of 896 up-regulated and 60 down-regulated DEGs were identified to be differentially expressed between GC samples and normal control. Hierarchical clustering analysis showed that DEGs were highly differentially expressed and most DEGs were up-regulated. The most significantly enriched GO-BP term was revealed to be mitotic cell cycle and the most significantly enriched pathway was cell cycle. The intersection analysis showed that most significant DEGs were cyclin B1 (CCNB1) and cyclin B2 (CCNB2). The sensitivities and specificities of CCNB1 and CCNB2 were both high (p<0.0001). Areas under the ROC curve for CCNB1 and CCNB2 were both greater than 0.9 (p<0.0001).


CONCLUSIONS
CCNB1 and CCNB2, which were involved in cell cycle, played significant roles in the progression and development of GC and these genes may be potential biomarkers for diagnosis and prognosis of GC.
Gastrointestinal surgery, the First Hospital of Jilin University, Changchun, China E-mail : guangchenchdh@163.com.
Da-Guang
DG
Wang
Guang
G
Chen
Xiao-Yu
XY
Wen
Dan
D
Wang
Zhi-Hua
ZH
Cheng
Si-Qiao
SQ
Sun
D000328:Adult; D000368:Aged; D014408:Biomarkers, Tumor / Q000235:genetics*; D016022:Case-Control Studies; D019295:Computational Biology / Q000379:methods*; D005260:Female; D020869:Gene Expression Profiling; D015972:Gene Expression Regulation, Neoplastic; D063990:Gene Ontology; D006801:Humans; D008297:Male; D008875:Middle Aged; D020411:Oligonucleotide Array Sequence Analysis; D012333:RNA, Messenger / Q000235:genetics; D060888:Real-Time Polymerase Chain Reaction; D020133:Reverse Transcriptase Polymerase Chain Reaction; D013274:Stomach Neoplasms / Q000145:classification / Q000175:diagnosis* / Q000235:genetics*
D014408:Biomarkers, Tumor; D012333:RNA, Messenger