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Updated: Aug 8, 2026

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Establishment of a Primary Culture of Patient-derived Soft Tissue Sarcoma
Published on: April 11, 2018
Predictive variables detailing the recurrence rate of soft tissue sarcomas
Stephen R Grobmyer1, Murray F Brennan
1Department of Surgery, Memorial Sloan-Kettering Cancer Center, 1275 York Avenue, New York, NY 10021, USA.
Current Opinion in Oncology
|July 23, 2003
Summary
Identifying prognostic variables is crucial for soft tissue sarcoma (STS) patient care and clinical trial stratification. A new nomogram aids in predicting survival, with emerging research focusing on chemotherapy response and molecular markers.
Area of Science:
- Oncology
- Surgical Oncology
- Cancer Research
Background:
- Prognostic variables are essential for patient counseling, adjuvant therapy selection, clinical trial stratification, and treatment goal setting in soft tissue sarcoma (STS).
- Established prognostic factors for STS address local recurrence, distant recurrence, disease-specific survival, and overall survival.
- These significant prognostic variables demonstrate both site-dependent and time-dependent characteristics.
Purpose of the Study:
- To review the established prognostic variables for soft tissue sarcoma.
- To introduce a novel nomogram for predicting sarcoma-specific survival.
- To highlight emerging areas in STS outcome prediction.
Main Methods:
- Review of established prognostic factors in soft tissue sarcoma literature.
- Description of a recently developed nomogram incorporating tumor size, grade, histology, depth, and patient age.
- Identification of emerging prognostic indicators such as response to neoadjuvant chemotherapy and molecular markers.
Main Results:
- Prognostic variables for local recurrence, distant recurrence, disease-specific survival, and overall survival have been defined for soft tissue sarcoma.
- A nomogram predicting 12-year sarcoma-specific survival at diagnosis, considering tumor characteristics and patient age, has been developed.
- Response to neoadjuvant chemotherapy and molecular markers are identified as emerging areas for outcome prediction.
Conclusions:
- Understanding prognostic variables is critical for optimizing patient management and clinical trial design in soft tissue sarcoma.
- The newly developed nomogram provides a valuable tool for predicting long-term survival in STS patients at diagnosis.
- Further research into neoadjuvant chemotherapy response and molecular markers holds promise for refining prognostic accuracy in soft tissue sarcoma.

