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Updated: Jan 31, 2026

Establishment of a Primary Culture of Patient-derived Soft Tissue Sarcoma
Published on: April 11, 2018
Ending 40 years of silence: Rationale for a new staging system for soft tissue sarcoma of the head and neck
Ezra Hahn1, Shao Hui Huang1, Ali Hosni1
1Department of Radiation Oncology, Princess Margaret Cancer Centre, University Health Network/University of Toronto, Toronto, Canada.
Abstract:
The tumor, node, metastases (TNM) anatomic staging system plays a pivotal role in cancer care, research, and cancer control activities. Since the first edition of the American Joint Committee on Cancer TNM staging classification published in 1977, soft tissue sarcomas have been staged in an anatomic site agnostic fashion whereby the primary tumor size (T) was categorized as T1 if <=5 cm and T2 if >5 cm; this remained unchanged through the 7th edition of the TNM. However, soft tissue sarcomas of the head and neck (STSHN) usually present smaller than sarcomas of other sites, but carry a disproportionate risk of local recurrence. Up to 70% of tumors are less than 5 cm at presentation, and therefore classified together as T1. Given the rarity of STSHN, there is a paucity of data to guide progress in their classification. Moreover, the majority of publications only report tumor size as less than or greater than 5 cm, presumably based on conventions of the TNM system that remained unchanged for 40 years, thereby affecting progress of STSHN classification. This formed the impetus for change in the 8th edition in 2 key ways: 1) several soft tissue sarcoma site based changes occurred including STSHN now having its own system, and 2) primary tumor size cut-offs of 2 cm and 4 cm used in STSHN now reflect sizes that head and neck specialists commonly encounter in their practice. This update was pragmatic in modifying the TNM from a system with a T category not serving STSHN and which was originally based on sarcoma data from non-head and neck anatomic sites. The background to this change is outlined which provides a framework in which data can be reported to generate evidence for future staging modifications.
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