Literature DB >> 16765318

Intrinsic radiation resistance in human chondrosarcoma cells.

Farid Moussavi-Harami1, Anthony Mollano, James A Martin, Andrew Ayoob, Frederick E Domann, Steven Gitelis, Joseph A Buckwalter.   

Abstract

Human chondrosarcomas rarely respond to radiation treatment, limiting the options for eradication of these tumors. The basis of radiation resistance in chondrosarcomas remains obscure. In normal cells radiation induces DNA damage that leads to growth arrest or death. However, cells that lack cell cycle control mechanisms needed for these responses show intrinsic radiation resistance. In previous work, we identified immortalized human chondrosarcoma cell lines that lacked p16(ink4a), one of the major tumor suppressor proteins that regulate the cell cycle. We hypothesized that the absence of p16(ink4a) contributes to the intrinsic radiation resistance of chondrosarcomas and that restoring p16(ink4a) expression would increase their radiation sensitivity. To test this we determined the effects of ectopic p16(ink4a) expression on chondrosarcoma cell resistance to low-dose gamma-irradiation (1-5 Gy). p16(ink4a) expression significantly increased radiation sensitivity in clonogenic assays. Apoptosis did not increase significantly with radiation and was unaffected by p16(ink4a) transduction of chondrosarcoma cells, indicating that mitotic catastrophe, rather than programmed cell death, was the predominant radiation effect. These results support the hypothesis that p16(ink4a) plays a role in the radiation resistance of chondrosarcoma cell lines and suggests that restoring p16 expression will improve the radiation sensitivity of human chondrosarcomas.

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Year:  2006        PMID: 16765318     DOI: 10.1016/j.bbrc.2006.05.158

Source DB:  PubMed          Journal:  Biochem Biophys Res Commun        ISSN: 0006-291X            Impact factor:   3.575


  23 in total

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8.  Human Chondrosarcoma Cells Acquire an Epithelial-Like Gene Expression Pattern via an Epigenetic Switch: Evidence for Mesenchymal-Epithelial Transition during Sarcomagenesis.

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10.  A bioinformatics filtering strategy for identifying radiation response biomarker candidates.

Authors:  Jung Hun Oh; Harry P Wong; Xiaowei Wang; Joseph O Deasy
Journal:  PLoS One       Date:  2012-06-29       Impact factor: 3.240

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