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Establishment of a Primary Culture of Patient-derived Soft Tissue Sarcoma
Published on: April 11, 2018
Delay in referral to a specialist soft-tissue sarcoma unit
1Department of Surgery, Melanoma and Sarcoma Unit, The Royal Marsden Hospital, 203 Fulham Road, Chelsea, London SW3 6JJ, UK.
Summary
Delays in diagnosing soft-tissue sarcoma (STS) are common, affecting one-fifth of patients. These delays, often lasting over a year, can negatively impact treatment and survival outcomes for this rare cancer.
Area of Science:
- Oncology
- Surgical Oncology
- Diagnostic Pathways
Background:
- Soft-tissue sarcoma (STS) is a rare malignancy with nonspecific symptoms, often mimicking other conditions.
- Delayed diagnosis and referral to specialist centers are frequent challenges in managing STS.
- The nonspecific nature of STS contributes to diagnostic delays.
Purpose of the Study:
- To audit the referral and diagnostic pathway for patients with suspected or confirmed soft-tissue sarcoma.
- To identify the incidence and causes of referral delays to a specialist sarcoma unit.
- To assess the impact of delays on patient management and outcomes.
Main Methods:
- Prospective audit of 216 patients referred to a specialist unit over 12 months.
- Patient interviews to map symptom onset, referral timelines, and diagnostic processes.
- Definition of referral delay as >= 3 months from first medical presentation to specialist review.
Main Results:
- 159 patients had previously untreated soft-tissue sarcomas.
- Thirty-one patients (20%) experienced referral delays, with a median delay of 14 months (range 4-96 months).
- Delays originated from general practitioners (13), patients post-GP referral (2), referring hospitals/specialists (7), or were multifactorial (9).
Conclusions:
- A significant proportion (one-fifth) of soft-tissue sarcoma patients face substantial referral delays.
- These delays likely compromise treatment options and patient outcomes, potentially affecting survival.
- Improving diagnostic pathways and reducing referral times are crucial for optimal STS management.

