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

Research output: Contribution to journalArticle


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.


Research areas and keywords

Subject classification (UKÄ) – MANDATORY

  • Cancer and Oncology


  • prognosis, background correction, S-phase fraction, soft tissue sarcoma, DNA flow cytometry
Original languageEnglish
Pages (from-to)1205-1209
JournalBritish Journal of Cancer
Publication statusPublished - 1999
Publication categoryResearch

Bibliographic note

The information about affiliations in this record was updated in December 2015. The record was previously connected to the following departments: Oncology, MV (013035000), Pathology, (Lund) (013030000), Department of Orthopaedics (Lund) (013028000)