title: Identification of potential serum biomarkers for gastric cancer by a novel computational method, multiple normal tissues corrected differential analysis.
abstract: BACKGROUND
  Genes specifically expressed in one or a few tissues and upregulated in tumors are potentially good serum biomarkers.
  
  
  METHODS
  By applying a recently developed computational method, called multiple normal tissues corrected differential analysis (MNTDA), we identified genes that are likely to be upregulated in the blood of gastric cancer patients as compared to normal controls.
  
  
  RESULTS
  We identified four genes (MMP-1, MMP-3, MMP-12, and CXCL5) as potential serum biomarkers for gastric cancer. Of these four genes, only MMP-1 was significantly upregulated in the sera of 40 gastric cancer patients, as compared to 40 control sera. The same pattern was observed in the second cohort of 80 gastric cancer patients and 80 controls. In a combined analysis, the level of serum MMP-1 in gastric cancer patients was significantly higher than the level in control samples (P<0.0001). The use of MMP-1 was 62.5% sensitive and 62.5% specific in detecting gastric cancer patients. Patients with high serum levels of MMP-1 had a significantly worse outcome than patients with low serum MMP-1 levels. Finally, we determined that preoperative serum MMP-1 levels were prognostic, independent of tumor stage.
  
  
  CONCLUSIONS
  MMP-1 is a potential prognostic marker for gastric cancer patients after gastrectomy.
authors: Medical Genomics Research Center, KRIBB, Daejeon, Republic of Korea.
authors: Mirang
authors: M
authors: Kim
authors: Hyun Ja
authors: HJ
authors: Kim
authors: Bo Youl
authors: BY
authors: Choi
authors: Jeong-Hwan
authors: JH
authors: Kim
authors: Kyu-Sang
authors: KS
authors: Song
authors: Seung-Moo
authors: SM
authors: Noh
authors: Jin Cheon
authors: JC
authors: Kim
authors: Dong Soo
authors: DS
authors: Han
authors: Seon-Young
authors: SY
authors: Kim
authors: Yong Sung
authors: YS
authors: Kim
mesh_terms: D000328:Adult; D000368:Aged; D015415:Biomarkers / Q000097:blood; D016022:Case-Control Studies; D019295:Computational Biology / Q000379:methods*; D005260:Female; D015972:Gene Expression Regulation, Neoplastic; D006801:Humans; D008297:Male; D020781:Matrix Metalloproteinase 1 / Q000097:blood / Q000378:metabolism; D008875:Middle Aged; D013274:Stomach Neoplasms / Q000097:blood* / Q000175:diagnosis / Q000235:genetics / Q000473:pathology; D016019:Survival Analysis
chemical_list: D015415:Biomarkers; D020781:Matrix Metalloproteinase 1