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Sporadic cutaneous angiosarcomas: a proposal for risk stratification based on 69 cases
Andrea T Deyrup1, Jesse K McKenney, Mourad Tighiouart
1Department of Pathology, Winship Cancer Institute, Emory University, Atlanta, GA 30322, USA. adeyrup@emory.edu
The American Journal of Surgical Pathology
|December 29, 2007
Summary
Histologic and clinical features can stratify cutaneous angiosarcoma patients into distinct risk groups. This stratification helps differentiate indolent from aggressive tumors, improving prognostic accuracy for this rare cancer.
Area of Science:
- Dermatopathology
- Surgical Pathology
- Oncology
Background:
- Cutaneous angiosarcomas are traditionally considered high-grade lesions.
- Histologic features and grading have historically played no role in prognostication.
- Angiosarcomas have been excluded from the American Joint Committee on Cancer staging system.
Purpose of the Study:
- To determine if a combination of histologic and clinical parameters can differentiate indolent from aggressive cutaneous angiosarcomas.
- To analyze 69 cutaneous angiosarcomas not associated with lymphedema or prior radiation therapy.
Main Methods:
- Analysis of clinical features: patient age, location, size, depth, and focality.
- Study of histologic features: growth pattern, nuclear grade, necrosis, cell type, inflammatory infiltrate, and mitotic rate.
- Stratification into low-risk (n=41) and high-risk (n=28) groups based on necrosis and/or epithelioid features.
Main Results:
- Univariate analysis identified older age, anatomic site, necrosis, and epithelioid features as correlating with increased mortality.
- Multivariable analysis associated high-risk group (HR 4.07, P=0.0004) and age >70 (HR 2.79, P=0.012) with increased mortality.
- Tumor depth correlated with local recurrence risk (P=0.048); high-risk group showed significantly worse prognosis (3-year survival 24% vs. 77%).
Conclusions:
- A combination of clinical and histologic features allows stratification of angiosarcoma patients into two distinct risk groups.
- These risk groups are strongly associated with marked differences in clinical course and prognosis.
- Features are most useful in tumors less than 5 cm; importance diminishes with increased tumor size.