title: A 4-gene panel as a marker at chromosome 8q in Asian gastric cancer patients.
abstract: A widely held viewpoint is that the use of multiple markers, combined in some type of algorithm, will be necessary to provide high enough discrimination between diseased cases and non-diseased. We applied stepwise logistic regression analysis to identify the best combination of the 32 biomarkers at chromosome 8q on an independent public microarray test set of 80 paired gastric samples. A combination of SULF1, INTS8, ATP6V1C1, and GPR172A was identified with a prediction accuracy of 98.0% for discriminating carcinomas from adjacent noncancerous tissues in our previous 25 paired samples. Interestingly, the overexpression of SULF1 was associated with tumor invasion and metastasis. Function prediction analysis revealed that the 4-marker panel was mainly associated with acidification of intracellular compartments. Taken together, we found a 4-gene panel that accurately discriminated gastric carcinomas from adjacent noncancerous tissues and these results had potential clinical significance in the early diagnosis and targeted treatment of gastric cancer.
authors.affiliation: State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China; Shanghai Institute of Hematology, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China; Shanghai-MOST Key Laboratory of Health and Disease Genomics, National Engineering Center for Biochip at Shanghai, Shanghai, China.
authors.forename: Lei
authors.initials: L
authors.lastname: Cheng
authors.forename: Qing
authors.initials: Q
authors.lastname: Zhang
authors.forename: Sheng
authors.initials: S
authors.lastname: Yang
authors.forename: Yanqing
authors.initials: Y
authors.lastname: Yang
authors.forename: Wen
authors.initials: W
authors.lastname: Zhang
authors.forename: Hengjun
authors.initials: H
authors.lastname: Gao
authors.forename: Xiaxing
authors.initials: X
authors.lastname: Deng
authors.forename: Qinghua
authors.initials: Q
authors.lastname: Zhang
mesh_terms: D044466:Asian People / Q000235:genetics*; D014408:Biomarkers, Tumor / Q000235:genetics*; D002898:Chromosomes, Human, Pair 8 / Q000235:genetics*; D019295:Computational Biology; D030541:Databases, Genetic; D005109:Extracellular Matrix / Q000235:genetics; D016326:Extracellular Matrix Proteins / Q000235:genetics* / Q000378:metabolism; D015972:Gene Expression Regulation, Neoplastic; D006801:Humans; D046228:Microarray Analysis / Q000379:methods; D009361:Neoplasm Invasiveness / Q000235:genetics; D043562:Receptors, G-Protein-Coupled / Q000235:genetics* / Q000378:metabolism; D012044:Regression Analysis; D013274:Stomach Neoplasms / Q000175:diagnosis / Q000235:genetics* / Q000473:pathology; D015238:Sulfotransferases / Q000235:genetics* / Q000378:metabolism; D059467:Transcriptome; D025262:Vacuolar Proton-Translocating ATPases / Q000235:genetics* / Q000378:metabolism
chemical_list: D014408:Biomarkers, Tumor; C502426:CTHRC1 protein, human; D016326:Extracellular Matrix Proteins; D043562:Receptors, G-Protein-Coupled; C540350:SLC52A2 protein, human; C470791:SULF1 protein, human; D015238:Sulfotransferases; C555946:ATP6V1C1 protein, human; D025262:Vacuolar Proton-Translocating ATPases
keywords: Biomarkers; Gastric cancer; Neoplasm invasion; Regression analysis; SULF1 protein, human