James Homer Wright Pathology Laboratories.
Department of Internal Medicine, Division of Hematology/Oncology.
Am J Surg Pathol. 2021 Aug 1;45(8):1127-1137. doi: 10.1097/PAS.0000000000001745.
Sarcoma diagnosis has become increasingly complex, requiring a combination of morphology, immunohistochemistry, and molecular studies to derive specific diagnoses. We evaluated the role of anchored multiplex polymerase chain reaction-based gene fusion assay in sarcoma diagnostics. Between 2015 and 2018, bone and soft tissue sarcomas with fusion assay results were compared with the histologic diagnosis. Of 143 sarcomas tested for fusions, 43 (30%) had a detectable fusion. In review, they could be classified into 2 main categories: (1) 31 tumors with concordant morphologic and fusion data; and (2) 12 tumors where the fusion panel identified an unexpected rearrangement that played a significant role in classification. The overall concordance of the fusion assay results with morphology/immunohistochemistry or alternate confirmatory molecular studies was 83%. Collectively, anchored multiplex polymerase chain reaction-based solid fusion assay represents a robust means of detecting targeted fusions with known and novel partners. The predictive value of the panel is highest in tumors that show a monomorphic cell population, round cell tumors, as well as tumors rich in inflammatory cells. However, with an increased ability to discover fusions of uncertain significance, it remains essential to emphasize that the diagnosis of bone and soft tissue neoplasms requires the integration of morphology and immunohistochemical profile with these molecular methods, for accurate diagnosis and optimal clinical management of sarcomas.
肉瘤的诊断变得越来越复杂,需要结合形态学、免疫组织化学和分子研究来得出特定的诊断。我们评估了锚定多重聚合酶链反应基因融合检测在肉瘤诊断中的作用。在 2015 年至 2018 年间,我们比较了融合检测结果与组织学诊断的骨和软组织肉瘤。在检测融合的 143 个肉瘤中,有 43 个(30%)可检测到融合。在回顾性分析中,这些肿瘤可分为 2 个主要类别:(1)31 个形态学和融合数据一致的肿瘤;(2)12 个融合面板识别出意外重排的肿瘤,这些重排对分类有重要作用。融合检测结果与形态学/免疫组织化学或其他确认性分子研究的总体一致性为 83%。总的来说,基于锚定多重聚合酶链反应的实体融合检测是一种可靠的方法,可以检测已知和新型融合伙伴的靶向融合。该检测面板在形态学表现为单一细胞群、小圆细胞肿瘤以及富含炎症细胞的肿瘤的预测价值最高。然而,随着发现具有不确定意义的融合的能力提高,仍然必须强调,骨和软组织肿瘤的诊断需要将形态学和免疫组织化学特征与这些分子方法相结合,以实现对肉瘤的准确诊断和最佳临床管理。