Prognostic implications of various models for calculation of S-phase fraction in 259 patients with soft tissue sarcoma
1999

Prognostic Models for S-Phase Fraction in Soft Tissue Sarcoma

Sample size: 259 publication Evidence: moderate

Author Information

Author(s): Gustafson P, Baldetorp B, Fernö M, Åkerman M

Primary Institution: Department of Orthopedics, University Hospital, Lund, Sweden

Hypothesis

Can alternative models for calculating S-phase fraction reduce the failure rate while retaining prognostic value?

Conclusion

The Baisch method for calculating S-phase fraction is preferable for identifying low-risk and high-risk patients in soft tissue sarcoma.

Supporting Evidence

  • The 5-year metastasis-free survival rate was significantly higher in the low-risk group defined by the Baisch method.
  • Using MultiCycle software, the 5-year metastasis-free survival rate varied based on background correction methods.

Takeaway

Doctors can use a special test to see how likely it is for patients with a certain type of cancer to get worse, and one way of doing this works better than others.

Methodology

S-phase fraction was calculated using the Baisch method and MultiCycle software on flow cytometric DNA histograms.

Limitations

The Baisch method has a high failure rate of around 40%.

Participant Demographics

Patients with soft tissue sarcoma of the locomotor system.

Digital Object Identifier (DOI)

10.1038/sj.bjc.6690193

Want to read the original?

Access the complete publication on the publisher's website

View Original Publication