Analyzing BMP2, FGFR, and TGF Beta Expressions in High-Grade Osteosarcoma Untreated and Treated Autografts Using Proteomic Analysis

Rashmi Madda, Chao Ming Chen, Cheng Fong Chen, Jir You Wang, Hsin Yi Wu, Po Kuei Wu*, Wei Ming Chen

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Scopus citations


In the last few decades, biological reconstruction techniques have improved greatly for treating high-grade osteosarcoma patients. To conserve the limb, and its function the affected tu-mor-bearing bones have been treated using liquid nitrogen and irradiation processes that enable the removal of entire tumors from the bone, and these treated autografts can be reconstructed for the patients. Here, we focus on the expressions of the growth factor family proteins from the untreated and treated autografts that play a crucial role in bone union, remodeling, and regeneration. In this proteomic study, we identify several important cytoskeletal, transcriptional, and growth factor family proteins that showed substantially low levels in untreated autografts. Interestingly, these protein expressions were elevated after treating the tumor-bearing bones using liquid nitrogen and irradiation. Therefore, from our preliminary findings, we chose to determine the expressions of BMP2, TGF-Beta, and FGFR proteins by the target proteomics approach. Using a newly recruited validation set, we successfully validate the expressions of the selected proteins. Furthermore, the increased growth factor protein expression after treatment with liquid nitrogen may contribute to bone regeneration healing, assist in faster recovery, and reduce local recurrence and metastatic spread in high-grade sarcoma patients.

Original languageEnglish
Article number7409
JournalInternational Journal Of Molecular Sciences
Issue number13
StatePublished - 1 Jul 2022


  • biological reconstruction
  • biological reconstruction
  • BMP2
  • bone morphogenetic proteins
  • growth factors
  • mass spectrometry
  • osteosarcoma
  • target proteomics
  • TGF-Beta


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