Division of Molecular Pathology, The Institute of Cancer Research, 15 Cotswold Road Sutton, London, SM2 5NG, UK.
The Royal Marsden NHS Foundation Trust, London, UK.
Curr Treat Options Oncol. 2024 Aug;25(8):1124-1135. doi: 10.1007/s11864-024-01244-x. Epub 2024 Jul 30.
Soft tissue sarcomas (STS) are a rare and heterogeneous group of cancers. Treatment options have changed little in the past thirty years, and the role of neoadjuvant chemotherapy is controversial. Accurate risk stratification is crucial in STS in order to facilitate clinical discussions around peri-operative treatment. Current risk stratification tools used in clinic, such as Sarculator, use clinicopathological characteristics and may be specific to anatomical site or to histology. More recently, risk stratification tools have been developed using molecular or immunological data. Combining Sarculator with other risk stratification tools may identify novel patient groups with differential clinical outcomes. There are several considerations when translating risk stratification tools into widespread clinical use, including establishing clinical utility, health economic value, being applicable to existing clinical pathways, having strong real-world performance, and being supported by investment into infrastructure. Future work may include incorporation of novel modalities and data integration techniques.
软组织肉瘤(STS)是一组罕见且异质性的癌症。在过去的三十年中,治疗选择变化不大,新辅助化疗的作用存在争议。在 STS 中,准确的风险分层至关重要,以便能够围绕围手术期治疗进行临床讨论。目前在临床上使用的风险分层工具,如 Sarculator,使用临床病理特征,并且可能特定于解剖部位或组织学。最近,已经使用分子或免疫学数据开发了风险分层工具。将 Sarculator 与其他风险分层工具相结合,可能会识别出具有不同临床结果的新的患者群体。将风险分层工具转化为广泛的临床应用时需要考虑几个因素,包括确定临床实用性、具有健康经济价值、适用于现有临床路径、具有强大的实际性能以及得到基础设施投资的支持。未来的工作可能包括采用新的模式和数据集成技术。