Application of an integrated omics analysis for the discovery of biomarkers for osteosarcoma

To apply an integrated omics analysis so as to discover potential biomarkers for an early diagnosis of osteosarcoma. Gene chip and surface-enhanced laser desorption/ionization-time of flight-mass spectra (SELDI-TOF-MS) were employed to screen the marker genes and serum markers of osteosarcoma respectively. The associations of potential biomarkers from the SELDI data and microarray analysis were further inferred by Link-test to identify stable and specific diagnostic biomarkers. A total of 653 pre-biomarkers were found in osteosarcoma cells. And six differentially expressed protein peaks with strong statistical significances were detected by SELDI-TOF-MS in the patient's serum samples. Thirteen potential biomarkers for an early diagnosis of osteosarcoma were screened by Link-test. As an effective method of identifying osteosarcoma biomarkers, the integrated omics analysis may serve as a monitoring platform for an early diagnosis of osteosarcoma.