title: Combination of microarray profiling and protein-protein interaction databases delineates the minimal discriminators as a metastasis network for esophageal squamous cell carcinoma.
abstract: Microarray profiling of 15 adjacent normal/tumor-matched esophageal squamous cell carcinoma (ESCC) specimens identified 40 up-regulated and 95 down-regulated genes. Verification of the microarray measurement by quantitative real-time reverse transcription PCR in the same set of samples as well as an additional 15 normal/tumor-matched samples revealed >95% consistency. These signatures can also be used to classify a recently reported ESCC microarray dataset. Moreover, these molecular signatures were used as templates to elucidate their corresponding protein-protein interaction (PPI) networks using the PPI databases, POINT and POINeT. As a result, 18 genes, of which six were not disclosed in the initial expression profile analysis, were found to be able to serve as the minimal discriminators for distinguishing ESCC tumors from normal specimens. Of these discriminators, ten (BGN, COL1A1, COL1A2, MMP9, CD44, FN1, TGFBI, PXN, SPARC and VWF) were associated with tumor metastasis and formed a highly interactive network with the first four molecules as 'hubs'. Our study not only reveals how novel insights can be obtained from gene expression profiling, but also highlights a group of highly interacting genes associated with metastasis in ESCC.
authors.affiliation: Faculty of Life Sciences and Institute of Genome Sciences, National Yang-Ming University, No. 155, Sec. 2, Taipei 112, Taiwan, R.O.C.
authors.forename: Fen-Hwa
authors.initials: FH
authors.lastname: Wong
authors.forename: Chi-Ying F
authors.initials: CY
authors.lastname: Huang
authors.forename: Li-Jen
authors.initials: LJ
authors.lastname: Su
authors.forename: Yu-Chung
authors.initials: YC
authors.lastname: Wu
authors.forename: Yong-Shiang
authors.initials: YS
authors.lastname: Lin
authors.forename: Jiun-Yi
authors.initials: JY
authors.lastname: Hsia
authors.forename: Hsin-Ting
authors.initials: HT
authors.lastname: Tsai
authors.forename: Sheng-An
authors.initials: SA
authors.lastname: Lee
authors.forename: Chi-Hung
authors.initials: CH
authors.lastname: Lin
authors.forename: Cheng-Hwai
authors.initials: CH
authors.lastname: Tzeng
authors.forename: Po-Min
authors.initials: PM
authors.lastname: Chen
authors.forename: Yann-Jan
authors.initials: YJ
authors.lastname: Chen
authors.forename: Shu-Ching
authors.initials: SC
authors.lastname: Liang
authors.forename: Jin-Mei
authors.initials: JM
authors.lastname: Lai
authors.forename: Chueh-Chuan
authors.initials: CC
authors.lastname: Yen
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D000465:Algorithms; D014408:Biomarkers, Tumor / Q000235:genetics; D002294:Carcinoma, Squamous Cell / Q000235:genetics* / Q000556:secondary; D045744:Cell Line, Tumor; D016000:Cluster Analysis; D004938:Esophageal Neoplasms / Q000235:genetics* / Q000473:pathology; D005260:Female; D020869:Gene Expression Profiling; D006801:Humans; D008207:Lymphatic Metastasis; D008297:Male; D008875:Middle Aged; D020411:Oligonucleotide Array Sequence Analysis; D025941:Protein Interaction Mapping; D012333:RNA, Messenger / Q000235:genetics / Q000378:metabolism; D020133:Reverse Transcriptase Polymerase Chain Reaction; D013223:Statistics as Topic
chemical_list: D014408:Biomarkers, Tumor; D012333:RNA, Messenger