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基因组学选择转移性乳腺癌患者的治疗方法。

Genomics to select treatment for patients with metastatic breast cancer.

机构信息

Department of Medical Oncology, Gustave Roussy, Villejuif, France.

INSERM U981, Gustave Roussy, Villejuif, France.

出版信息

Nature. 2022 Oct;610(7931):343-348. doi: 10.1038/s41586-022-05068-3. Epub 2022 Sep 7.

Abstract

Cancer progression is driven in part by genomic alterations. The genomic characterization of cancers has shown interpatient heterogeneity regarding driver alterations, leading to the concept that generation of genomic profiling in patients with cancer could allow the selection of effective therapies. Although DNA sequencing has been implemented in practice, it remains unclear how to use its results. A total of 1,462 patients with HER2-non-overexpressing metastatic breast cancer were enroled to receive genomic profiling in the SAFIR02-BREAST trial. Two hundred and thirty-eight of these patients were randomized in two trials (nos. NCT02299999 and NCT03386162) comparing the efficacy of maintenance treatment with a targeted therapy matched to genomic alteration. Targeted therapies matched to genomics improves progression-free survival when genomic alterations are classified as level I/II according to the ESMO Scale for Clinical Actionability of Molecular Targets (ESCAT) (adjusted hazards ratio (HR): 0.41, 90% confidence interval (CI): 0.27-0.61, P < 0.001), but not when alterations are unselected using ESCAT (adjusted HR: 0.77, 95% CI: 0.56-1.06, P = 0.109). No improvement in progression-free survival was observed in the targeted therapies arm (unadjusted HR: 1.15, 95% CI: 0.76-1.75) for patients presenting with ESCAT alteration beyond level I/II. Patients with germline BRCA1/2 mutations (n = 49) derived high benefit from olaparib (gBRCA1: HR = 0.36, 90% CI: 0.14-0.89; gBRCA2: HR = 0.37, 90% CI: 0.17-0.78). This trial provides evidence that the treatment decision led by genomics should be driven by a framework of target actionability in patients with metastatic breast cancer.

摘要

癌症的进展部分是由基因组改变驱动的。癌症的基因组特征表明,在驱动改变方面存在患者间的异质性,这导致了一个概念,即在癌症患者中生成基因组分析可以选择有效的治疗方法。尽管 DNA 测序已经在实践中实施,但仍不清楚如何使用其结果。共有 1462 名 HER2 非过表达转移性乳腺癌患者参加了 SAFIR02-BREAST 试验,以接受基因组分析。其中 238 名患者被随机分配到两项试验(编号 NCT02299999 和 NCT03386162)中,比较了根据 ESMO 分子靶向治疗临床可操作性量表(ESCAT)对基因组改变进行分类为 I/II 级的维持治疗与靶向治疗的疗效。当根据 ESCAT 对基因组改变进行分类为 I/II 级时,与基因组匹配的靶向治疗可改善无进展生存期(调整后的危险比(HR):0.41,90%置信区间(CI):0.27-0.61,P<0.001),但当使用 ESCAT 对改变进行非选择时则没有改善(调整后的 HR:0.77,95%CI:0.56-1.06,P=0.109)。对于 ESCAT 改变超过 I/II 级的患者,靶向治疗组无进展生存期无改善(未调整的 HR:1.15,95%CI:0.76-1.75)。携带种系 BRCA1/2 突变的患者(n=49)从奥拉帕利(gBRCA1:HR=0.36,90%CI:0.14-0.89;gBRCA2:HR=0.37,90%CI:0.17-0.78)中获益较高。这项试验提供了证据,表明在转移性乳腺癌患者中,由基因组指导的治疗决策应该由靶向治疗的可操作性框架驱动。

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