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Prognostic implications of various models for calculation of S-phase fraction in 259 patients with soft tissue sarcoma

The S-phase fraction (SPF) in flow cytometric DNA histograms in soft tissue sarcoma (STS) can be calculated in various ways. The traditional planimetric method of Baisch has been shown to be prognostic, but is hampered by a failure rate of around 40%. We therefore tested other models to see if this...

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Autores principales: Gustafson, P, Baldetorp, B, Fernö, M, Åkerman, M
Formato: Texto
Lenguaje:English
Publicado: Nature Publishing Group 1999
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2362255/
https://www.ncbi.nlm.nih.gov/pubmed/10098760
http://dx.doi.org/10.1038/sj.bjc.6690193
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author Gustafson, P
Baldetorp, B
Fernö, M
Åkerman, M
author_facet Gustafson, P
Baldetorp, B
Fernö, M
Åkerman, M
author_sort Gustafson, P
collection PubMed
description The S-phase fraction (SPF) in flow cytometric DNA histograms in soft tissue sarcoma (STS) can be calculated in various ways. The traditional planimetric method of Baisch has been shown to be prognostic, but is hampered by a failure rate of around 40%. We therefore tested other models to see if this rate could be decreased with retained prognostic value. In 259 STS of the locomotor system the SPF was calculated according to Baisch and with commercial parametric MultiCycle software using different corrections for background. Using the Baisch model, 159 histograms could be evaluated for SPF. The 5-year metastasis-free survival rate (MFSR) was 0.94 for the low-risk group (defined with SPF), and 0.53 for the high-risk group. In the low-risk group, four of the seven patients who developed metastasis did so after 5 years. Using the MultiCycle software, SPF could be calculated in 253 tumours. Depending on type of background correction used, the 5-year MFSR varied between 0.67 and 0.82 for the low-risk group, and between 0.47 and 0.53 for the high-risk group. The late metastasis pattern in the low-risk group was never seen using the MultiCycle software. We conclude that in paraffin archival material, calculation of SPF according to Baisch is preferable in clinical use due to better separation between low-risk and high-risk groups, and also the possibility to identify patients who metastasize late. © 1999 Cancer Research Campaign
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spelling pubmed-23622552009-09-10 Prognostic implications of various models for calculation of S-phase fraction in 259 patients with soft tissue sarcoma Gustafson, P Baldetorp, B Fernö, M Åkerman, M Br J Cancer Regular Article The S-phase fraction (SPF) in flow cytometric DNA histograms in soft tissue sarcoma (STS) can be calculated in various ways. The traditional planimetric method of Baisch has been shown to be prognostic, but is hampered by a failure rate of around 40%. We therefore tested other models to see if this rate could be decreased with retained prognostic value. In 259 STS of the locomotor system the SPF was calculated according to Baisch and with commercial parametric MultiCycle software using different corrections for background. Using the Baisch model, 159 histograms could be evaluated for SPF. The 5-year metastasis-free survival rate (MFSR) was 0.94 for the low-risk group (defined with SPF), and 0.53 for the high-risk group. In the low-risk group, four of the seven patients who developed metastasis did so after 5 years. Using the MultiCycle software, SPF could be calculated in 253 tumours. Depending on type of background correction used, the 5-year MFSR varied between 0.67 and 0.82 for the low-risk group, and between 0.47 and 0.53 for the high-risk group. The late metastasis pattern in the low-risk group was never seen using the MultiCycle software. We conclude that in paraffin archival material, calculation of SPF according to Baisch is preferable in clinical use due to better separation between low-risk and high-risk groups, and also the possibility to identify patients who metastasize late. © 1999 Cancer Research Campaign Nature Publishing Group 1999-03 /pmc/articles/PMC2362255/ /pubmed/10098760 http://dx.doi.org/10.1038/sj.bjc.6690193 Text en Copyright © 1999 Cancer Research Campaign https://creativecommons.org/licenses/by/4.0/This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material.If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit https://creativecommons.org/licenses/by/4.0/.
spellingShingle Regular Article
Gustafson, P
Baldetorp, B
Fernö, M
Åkerman, M
Prognostic implications of various models for calculation of S-phase fraction in 259 patients with soft tissue sarcoma
title Prognostic implications of various models for calculation of S-phase fraction in 259 patients with soft tissue sarcoma
title_full Prognostic implications of various models for calculation of S-phase fraction in 259 patients with soft tissue sarcoma
title_fullStr Prognostic implications of various models for calculation of S-phase fraction in 259 patients with soft tissue sarcoma
title_full_unstemmed Prognostic implications of various models for calculation of S-phase fraction in 259 patients with soft tissue sarcoma
title_short Prognostic implications of various models for calculation of S-phase fraction in 259 patients with soft tissue sarcoma
title_sort prognostic implications of various models for calculation of s-phase fraction in 259 patients with soft tissue sarcoma
topic Regular Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2362255/
https://www.ncbi.nlm.nih.gov/pubmed/10098760
http://dx.doi.org/10.1038/sj.bjc.6690193
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