Related Experiment Video
Updated: May 23, 2026
Methods to Enable Spatial Transcriptomics of Bone Tissues
Published on: May 3, 2024
[Application of an integrated omics analysis for the discovery of biomarkers for osteosarcoma]
Guo-dong Li1, Zheng-dong Cai, Xiao-jun Ma
1Department of Orthopedics, Affiliated No.10 People's Hospital, Tongji University, Shanghai 200072, China. litrue2004@yahoo.com.cn
Objective:
To apply an integrated omics analysis so as to discover potential biomarkers for an early diagnosis of osteosarcoma.
Methods:
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.
Results:
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.
Conclusion:
As an effective method of identifying osteosarcoma biomarkers, the integrated omics analysis may serve as a monitoring platform for an early diagnosis of osteosarcoma.
