危险分层
腋窝
分层(种子)
孤立性纤维性肿瘤
医学
病理
乳腺肿瘤
乳腺癌
肿瘤科
内科学
生物
癌症
遗传学
干细胞
川地34
种子休眠
植物
发芽
休眠
作者
Raza S. Hoda,Lauren A. Duckworth,Hannah Gilmore,Xiaoyan Cui,Patrick J. McIntire,Andrew P. Sciallis,John S. Van Arnam,Gloria Zhang,J. Jordi Rowe,Huijun Xiao,Elizabeth M. Azzato,John R. Goldblum,Karen Fritchie,Erinn Downs
标识
DOI:10.1177/10668969231204957
摘要
Introduction: Solitary fibrous tumor (SFT) is a fibroblastic tumor with malignant potential that is underpinned by a recurrent inv12(q13q13)-derived NAB2::STAT6 fusion. Breast and axilla are uncommon locations for this entity. Methods: Records of two academic institutions were electronically searched for breast and axillary SFTs. Clinical and pathologic data were reviewed. Literature review for breast or axillary SFTs was performed. Present study and previously reported tumors were stratified using five SFT risk models: original and modified Demicco metastatic risk, Salas local recurrence risk, Salas metastatic risk, and Thompson local recurrence risk. Results: Five patients with breast or axillary SFT were identified. Median age was 49 years, and median follow-up (available for four patients) was 82 months. Three patients showed no evidence of disease, and one developed recurrence. Literature review identified 58 patients with breast or axillary SFT. Median age was 54 years, and median follow-up (available for 35 patients) was 24 months. Thirty-one patients showed no evidence of disease, three developed recurrence, and one developed metastasis. Original and modified Demicco models and Thompson model showed the highest sensitivity; original and modified Demicco models and Salas metastatic risk model demonstrated the highest specificity. Kaplan–Meier models were used to assess recurrence-free probability (RFP). Original and modified Demicco models predicted RFP when stratified by “low risk” and “moderate/intermediate and high risk” tumor, though sample size was small. Conclusions: While many SFTs of breast and axilla remain indolent, a subset may develop recurrence and rarely metastasize. The modified Demicco risk model demonstrated optimal performance characteristics.
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