Literature DB >> 1884537

Flow cytometric studies of human osteosarcoma.

H J Mankin1, M C Gebhardt, D S Springfield, G J Litwak, K Kusazaki, A E Rosenberg.   

Abstract

A number of recent studies have emphasized the potential value of flow cytometry as a "marker" to assess the malignity and therefore to help predict the biologic behavior of neoplasms, including bone tumors. Using propidium iodide and a home-built flow cytometer, the authors have studied the DNA distribution in 95 patients with osteosarcoma and determined the percentage of cells in diploidy, S-phase, tetraploidy, and aneuploidy. Using these values and a derived one, mean DNA concentration, it was possible to demonstrate the extent of the abnormalities observed in this group of neoplasms and show their severity as compared with the normal pattern. When the data are compared against disease-free survival and total survival, correlations were noted that, although weak, suggested that some patterns were predictive of increased risk of metastasis and death. The effect of treatment could also be assessed by evaluating the pattern before and after chemotherapy and correlating these with survival. It seems likely that with some improvement in technology, flow cytometry will be of value in the future in assessing the prognosis for osteosarcoma and predicting whether treatment has been effective.

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Year:  1991        PMID: 1884537

Source DB:  PubMed          Journal:  Clin Orthop Relat Res        ISSN: 0009-921X            Impact factor:   4.176


  5 in total

1.  Tissue matrix protein expression in human osteoblasts, osteosarcoma tumors, and osteosarcoma cell lines.

Authors:  J Bidwell; R McCabe; B Rougraff; H Feister; E Fey; J Onyia; J Holden; J Hock
Journal:  Mol Biol Rep       Date:  1997-11       Impact factor: 2.316

2.  Assessing prognosis for high-grade soft-tissue sarcomas: search for a marker.

Authors:  X Q Li; S G Parkekh; A E Rosenberg; H J Mankin
Journal:  Ann Surg Oncol       Date:  1996-11       Impact factor: 5.344

3.  Malignant transformation of osteoblastoma: study using image analysis microdensitometry.

Authors:  J Grace; S McCarthy; R Stankovic; W Marsden
Journal:  J Clin Pathol       Date:  1993-11       Impact factor: 3.411

4.  Analysis of mutant P53 protein in osteosarcomas and other malignant and benign lesions of bone.

Authors:  Y Ueda; B Dockhorn-Dworniczak; S Blasius; W Mellin; P Wuisman; W Böcker; A Roessner
Journal:  J Cancer Res Clin Oncol       Date:  1993       Impact factor: 4.553

5.  Nuclear DNA-Content in Mesenchymal Lesions in Dogs: Its Value as Marker of Malignancy and Extent of Genomic Instability.

Authors:  Kim M Boerkamp; Gerard R Rutteman; Marja J L Kik; Jolle Kirpensteijn; Christoph Schulze; Guy C M Grinwis
Journal:  Cancers (Basel)       Date:  2012-12-03       Impact factor: 6.639

  5 in total

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