Screening of serum marker proteins in osteosarcoma and preliminary bioinformatic analysis on POLR3F.
- Author:
Guo-dong LI
1
;
Zheng-dong CAI
;
Xiao-jun MA
;
Meng-xiong SUN
;
Jian LI
;
Wei SUN
;
Ying-qi HUA
Author Information
- Publication Type:Journal Article
- MeSH: Adolescent; Adult; Binding Sites; Biomarkers, Tumor; blood; Blood Proteins; analysis; Bone Neoplasms; genetics; metabolism; Child; Female; Gene Expression Profiling; Gene Expression Regulation, Neoplastic; Humans; Male; Oligonucleotide Array Sequence Analysis; Osteosarcoma; genetics; metabolism; Peptides; genetics; metabolism; Promoter Regions, Genetic; genetics; Protein Binding; Protein Subunits; genetics; metabolism; RNA Polymerase III; genetics; metabolism; RNA, Messenger; genetics; STAT3 Transcription Factor; metabolism; Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization; Young Adult
- From: Chinese Journal of Oncology 2011;33(11):836-841
- CountryChina
- Language:Chinese
-
Abstract:
OBJECTIVETo screen potential serum marker proteins of osteosarcoma, and to make a preliminary bioinformatics analysis of RNA polymerase III polypeptide F (POLR3F).
METHODSGene chip and SELDI-TOF MS was used to screen genes differentially expressed in osteosarcoma. The associations of potential biomarkers from SELDI data and microarray analysis were further inferred by link-test to identify biomarkers that could likely be used for diagnosis. MATLAB was used to search transcription factors binding site in the promoter region and miRNAs binding site in 3'-UTR of POLR3F, respectively.
RESULTS653 differentially expressed genes were found in osteosarcoma cells, while six differentially expressed protein peaks with significant statistical significances were detected by SELDI-TOF MS in patient's serum. 13 potential biomarkers for early diagnosis of osteosarcoma were screened by link-test. A conserved STAT3 binding site and a miRNA target site were found in proximal promoter regions and 3'-UTR region of POLR3F, respectively.
CONCLUSIONSLink-test is a effective method to identify osteosarcoma biomarkers from both microarray and SELDI-TOF MS database. The results confirmed that POLR3F may be a promising biomarker for early diagnosis and a therapy target of osteosarcoma.