title: Salivary microRNAs as promising biomarkers for detection of esophageal cancer.
abstract: OBJECTIVE
  Tissue microRNAs (miRNAs) can detect cancers and predict prognosis. Several recent studies reported that tissue, plasma, and saliva miRNAs share similar expression profiles. In this study, we investigated the discriminatory power of salivary miRNAs (including whole saliva and saliva supernatant) for detection of esophageal cancer.
  
  
  METHODS
  By Agilent microarray, six deregulated miRNAs from whole saliva samples from seven patients with esophageal cancer and three healthy controls were selected. The six selected miRNAs were subjected to validation of their expression levels by RT-qPCR using both whole saliva and saliva supernatant samples from an independent set of 39 patients with esophageal cancer and 19 healthy controls.
  
  
  RESULTS
  Six miRNAs (miR-10b*, miR-144, miR-21, miR-451, miR-486-5p, and miR-634) were identified as targets by Agilent microarray. After validation by RT-qPCR, miR-10b*, miR-144, and miR-451 in whole saliva and miR-10b*, miR-144, miR-21, and miR-451 in saliva supernatant were significantly upregulated in patients, with sensitivities of 89.7, 92.3, 84.6, 79.5, 43.6, 89.7, and 51.3% and specificities of 57.9, 47.4, 57.9%, 57.9, 89.5, 47.4, and 84.2%, respectively.
  
  
  CONCLUSIONS
  We found distinctive miRNAs for esophageal cancer in both whole saliva and saliva supernatant. These miRNAs possess discriminatory power for detection of esophageal cancer. Because saliva collection is noninvasive and convenient, salivary miRNAs show great promise as biomarkers for detection of esophageal cancer in areas at high risk.
authors.affiliation: Department of Gastroenterology, Guangdong Academy of Medical Sciences, Guangdong General Hospital, Guangzhou City, Guangdong Province, China.
authors.forename: Zijun
authors.initials: Z
authors.lastname: Xie
authors.forename: Gang
authors.initials: G
authors.lastname: Chen
authors.forename: Xuchao
authors.initials: X
authors.lastname: Zhang
authors.forename: Dongfeng
authors.initials: D
authors.lastname: Li
authors.forename: Jian
authors.initials: J
authors.lastname: Huang
authors.forename: Cuiqin
authors.initials: C
authors.lastname: Yang
authors.forename: Pingyong
authors.initials: P
authors.lastname: Zhang
authors.forename: Yuxuan
authors.initials: Y
authors.lastname: Qin
authors.forename: Yifan
authors.initials: Y
authors.lastname: Duan
authors.forename: Bo
authors.initials: B
authors.lastname: Gong
authors.forename: Zijun
authors.initials: Z
authors.lastname: Li
mesh_terms: D000230:Adenocarcinoma / Q000175:diagnosis / Q000235:genetics* / Q000473:pathology; D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D014408:Biomarkers, Tumor / Q000032:analysis / Q000235:genetics*; D002294:Carcinoma, Squamous Cell / Q000175:diagnosis / Q000235:genetics* / Q000473:pathology; D016022:Case-Control Studies; D004938:Esophageal Neoplasms / Q000175:diagnosis / Q000235:genetics* / Q000473:pathology; D005260:Female; D020869:Gene Expression Profiling; D015972:Gene Expression Regulation, Neoplastic; D006801:Humans; D008297:Male; D035683:MicroRNAs / Q000032:analysis / Q000235:genetics*; D008875:Middle Aged; D009367:Neoplasm Staging; D020411:Oligonucleotide Array Sequence Analysis; D011379:Prognosis; D060888:Real-Time Polymerase Chain Reaction; D012463:Saliva / Q000737:chemistry*; D012680:Sensitivity and Specificity
chemical_list: D014408:Biomarkers, Tumor; D035683:MicroRNAs
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