Suppr超能文献

晚期表皮生长因子受体(EGFR)突变型非小细胞肺癌患者血浆预处理T790M相对等位基因频率可预测后续使用奥希替尼治疗的反应。

Plasma pre-treatment T790M relative allelic frequency in patients with advanced EGFR-mutated non-small cell lung cancer predicts treatment response to subsequent-line osimertinib.

作者信息

Ding Pei N, Roberts Tara L, Chua Wei, Becker Therese M, Caixeiro Nicole, de Souza Paul, Gao Bo, Lee Chee K, Itchins Malinda, Westman Helen, Clarke Stephen, Blinman Prunella, Kao Steven, John Tom, Leal Jose L, Bray Victoria J

机构信息

Ingham Institute for Applied Medical Research, Liverpool, NSW, Australia.

Medical Oncology Department, Liverpool Hospital, Liverpool, NSW, Australia.

出版信息

Transl Lung Cancer Res. 2021 Apr;10(4):1623-1634. doi: 10.21037/tlcr-20-1125.

Abstract

BACKGROUND

Approximately half of all patients with advanced EGFR-mutant NSCLC will develop acquired resistance to first or second-generation EGFR tyrosine kinase inhibitors (EGFR-TKIs) with a T790M mutation. In the AURA3 trial, patients with a T790M mutation had a response rate of 71% to osimertinib, a third-generation EGFR-TKI. The response to osimertinib may vary according to plasma T790M mutation frequency. Our aim was to determine the effect of plasma T790M mutation load on treatment response to osimertinib in an Australian multi-institutional cohort.

METHODS

We performed a retrospective study on patients treated with osimertinib in the second-line setting and beyond between 2016-2018 from ten centres in Australia, who had T790M mutations detected in tumour or plasma. The primary objective was to investigate if there was a difference in disease control rate (DCR) between patients with high low T790M relative allelic frequency (RAF) as detected in plasma, using a 0.3 RAF cut-off, as determined by ddPCR or BEAMing PCR. Secondary objective was to determine the survival outcomes according to high versus low plasma T790M RAF. Additional analyses were performed to investigate the survival outcome for patients with plasma versus tissue T790M positivity.

RESULTS

A total of 139 patients were included in this study. Patients with higher RAF demonstrated higher DCR (74% 36%, P=0.02), however there was no statistically significant difference in survival outcomes in the two groups. Exploratory analysis showed that patients with tissue T790M+ had improved DCR compared with those with plasma T790M+ (89% 68%, P=0.01) and longer progression free survival (median 15.4 9.7 months; HR 0.51, 95% CI: 0.34 to 0.77, P=0.003) and overall survival (median not reached, HR 0.51, 95% CI: 0.30 to 0.86, P=0.02). Patients who were tissue T790M+ demonstrated superior survival compared to plasma T790M+ after correcting for confounding variables in a multivariate model.

CONCLUSIONS

DCR was superior in patients with higher plasma T790M mutation load versus lower plasma T790M mutational load, without significant survival benefit. Plasma T790M RAF is a potential predictive biomarker which should be investigated and validated in larger prospective studies.

摘要

背景

大约一半的晚期表皮生长因子受体(EGFR)突变的非小细胞肺癌(NSCLC)患者会对第一代或第二代EGFR酪氨酸激酶抑制剂(EGFR-TKIs)产生获得性耐药,并伴有T790M突变。在AURA3试验中,携带T790M突变的患者对第三代EGFR-TKI奥希替尼的缓解率为71%。对奥希替尼的反应可能因血浆中T790M突变频率而异。我们的目的是在澳大利亚多机构队列中确定血浆T790M突变负荷对奥希替尼治疗反应的影响。

方法

我们对2016年至2018年期间在澳大利亚十个中心接受二线及以上奥希替尼治疗、肿瘤或血浆中检测到T790M突变的患者进行了一项回顾性研究。主要目的是调查血浆中检测到的T790M相对等位基因频率(RAF)高与低的患者之间疾病控制率(DCR)是否存在差异,使用ddPCR或BEAMing PCR测定的0.3 RAF临界值。次要目的是根据血浆T790M RAF高与低确定生存结果。还进行了额外分析,以研究血浆与组织T790M阳性患者的生存结果。

结果

本研究共纳入139例患者。RAF较高的患者显示出更高的DCR(74%对36%,P = 0.02),然而两组的生存结果在统计学上没有显著差异。探索性分析表明,组织T790M阳性的患者与血浆T790M阳性的患者相比,DCR有所改善(89%对68%,P = 0.01)且无进展生存期更长(中位数15.4对9.7个月;风险比0.51,95%置信区间:0.34至0.77,P = 0.003)以及总生存期更长(中位数未达到,风险比0.51,95%置信区间:0.30至0.86,P = 0.02)。在多变量模型中校正混杂变量后,组织T790M阳性的患者与血浆T790M阳性的患者相比显示出更好的生存情况。

结论

血浆T790M突变负荷较高的患者与血浆T790M突变负荷较低的患者相比,DCR更高,但无显著生存获益。血浆T790M RAF是一种潜在的预测生物标志物,应在更大规模的前瞻性研究中进行研究和验证。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3d27/8107763/b42f5c81db71/tlcr-10-04-1623-f1.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验