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TSC-1 和 -2 突变对恶性 PEComa 治疗反应的影响:一项多中心回顾性分析。

The Impact of TSC-1 and -2 Mutations on Response to Therapy in Malignant PEComa: A Multicenter Retrospective Analysis.

机构信息

City of Hope Comprehensive Cancer Center, Duarte, CA 91010, USA.

Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, MO 63110, USA.

出版信息

Genes (Basel). 2022 Oct 24;13(11):1932. doi: 10.3390/genes13111932.

Abstract

BACKGROUND

Perivascular epithelioid cell neoplasms (PEComas) are a diverse family of mesenchymal tumors with myomelanocytic differentiation that disproportionately affect women and can be associated with tuberous sclerosis (TS). Although mTOR inhibition is widely used as first-line treatment, it is unclear what genomic alterations exist in these tumors and how they influence the response to therapy.

METHODS

This was a multicenter study conducted at five sites within the US. The data were collected from 1 January 2004 to 31 January 2021. We conducted a retrospective analysis to identify PEComa patients with next-generation sequencing (NGS) data and compared outcomes based on mutations.

RESULTS

No significant differences in survival were identified between and mutated PEComa or / versus other mutations. No significant difference was seen in progression-free survival (PFS) after first-line therapy between mTOR inhibition versus other systemic therapies.

CONCLUSIONS

We were unable to detect differences in survival based on genomic alterations or PFS between mTOR inhibition versus other systemic therapies. Future studies should seek to identify other drivers of silencing that could predict response to mTOR inhibition.

摘要

背景

血管周上皮样细胞瘤(PEComas)是一组具有肌黑色素分化的间叶性肿瘤,其发病率在女性中较高,并且可能与结节性硬化症(TS)相关。虽然 mTOR 抑制剂被广泛用作一线治疗,但这些肿瘤中存在哪些基因组改变以及它们如何影响治疗反应尚不清楚。

方法

这是在美国五个地点进行的一项多中心研究。数据收集自 2004 年 1 月 1 日至 2021 年 1 月 31 日。我们进行了回顾性分析,以确定具有下一代测序(NGS)数据的 PEComa 患者,并根据突变情况比较结局。

结果

未发现 突变型和 突变型 PEComa 或 / 与其他突变之间的生存差异。在一线治疗后,mTOR 抑制剂与其他全身治疗之间的无进展生存期(PFS)无显著差异。

结论

我们无法根据基因组改变或 mTOR 抑制剂与其他全身治疗之间的 PFS 检测到生存差异。未来的研究应寻求识别其他可能预测 mTOR 抑制剂反应的 沉默驱动因素。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8cf7/9689779/63ac2f7b1782/genes-13-01932-g001.jpg

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