title: Identification of a new microRNA expression profile as a potential cancer screening tool.
abstract: OBJECTIVE
  Small non-coding microRNAs (miRNAs) are key components of cancer development and are considered as potential biomarkers for cancer diagnosis and treatment monitoring. This study investigated miRNA expression profiles of human cancer cells in order to develop a screening method for lung cancer.
  
  
  METHODS
  A series of lung cancer related miRNAs (miR-21, miR-145, miR-155, miR-205, miR-210, miR-92, miR-17-5p, miR-143, miR-182, miR-372, let-7a) were selected as candidates for miRNA expression profiles of human lung cancer cell lines (A549, SK-mes-1). MicroRNA u6 was the endogenous control. Cancer cell lines for positive controls; breast MCF-7, prostate Du-145, and glioblastoma U118. The negative control was normal lung fibroblast cell line MRC-5. RT-PCR was performed on StepOnePlus (Applied Biosystem, USA). MiRNA expressions of malignant cells were compared with normal fibroblast cells as well as endogenous control (u6) using the thermal cycle at threshold. Assessment of miRNA expression profiles were then performed using agglomerative hierarchical cluster analysis software (SPSS13, USA).
  
  
  RESULTS
  We demonstrated that miR-21, miR-182 and let7-5a were over-expressed, and miR-145 and miR-155 were under-expressed in all cancer cell lines. Combined with the cluster analysis we were able to clearly distinguish cell lines for normal fibroblasts, breast cancer, prostate cancer, glioblastoma, and lung cancer.
  
  
  CONCLUSIONS
  There is potential utility of screening for lung cancer with miRNA expression profiles. Future work will focus on the sensitivity of such miRNA expression profiles in screening sputum for lung cancer, which can be performed in real time.
authors.affiliation: Alberta Laboratory for Environmental Cancer Risk & Assessment, Alberta, Canada.
authors.forename: Wilson
authors.initials: W
authors.lastname: Roa
authors.forename: Bryan
authors.initials: B
authors.lastname: Brunet
authors.forename: Linghong
authors.initials: L
authors.lastname: Guo
authors.forename: John
authors.initials: J
authors.lastname: Amanie
authors.forename: Alysa
authors.initials: A
authors.lastname: Fairchild
authors.forename: Zsolt
authors.initials: Z
authors.lastname: Gabos
authors.forename: Tirath
authors.initials: T
authors.lastname: Nijjar
authors.forename: Rufus
authors.initials: R
authors.lastname: Scrimger
authors.forename: Don
authors.initials: D
authors.lastname: Yee
authors.forename: James
authors.initials: J
authors.lastname: Xing
mesh_terms: D045744:Cell Line, Tumor; D016000:Cluster Analysis; D015536:Down-Regulation / Q000235:genetics; D005260:Female; D020869:Gene Expression Profiling; D015972:Gene Expression Regulation, Neoplastic; D006801:Humans; D008297:Male; D035683:MicroRNAs / Q000032:analysis* / Q000235:genetics / Q000378:metabolism; D009369:Neoplasms / Q000175:diagnosis* / Q000235:genetics*; D012342:RNA, Small Nuclear / Q000032:analysis / Q000378:metabolism; D015203:Reproducibility of Results; D020133:Reverse Transcriptase Polymerase Chain Reaction; D015854:Up-Regulation / Q000235:genetics
chemical_list: D035683:MicroRNAs; D012342:RNA, Small Nuclear; C541010:MIRN145 microRNA, human; C524942:MIRN155 microRNA, human; C534425:MIR205, human; C524940:MIRN21 microRNA, human; C541874:MIRN92 microRNA, human; C538984:Mirn182 microRNA, human; C405486:U6 small nuclear RNA; C487931:mirnlet7 microRNA, human