Suppr超能文献

新型多重液滴数字 PCR 分析方法用于检测非小细胞肺癌活检标本中的 PD-L1 表达。

Novel multiplex droplet digital PCR assay for scoring PD-L1 in non-small cell lung cancer biopsy specimens.

机构信息

School of Health & Biomedical Sciences, RMIT University, Bundoora, Victoria, Australia.

Department of Anatomical Pathology, St Vincent's Hospital, Melbourne, Victoria, Australia.

出版信息

Lung Cancer. 2019 Aug;134:233-237. doi: 10.1016/j.lungcan.2019.06.029. Epub 2019 Jul 2.

Abstract

OBJECTIVES

Immune checkpoint inhibitors have become integrated into the clinical management of non-small cell lung cancer (NSCLC). Using RTqPCR, we have previously identified a gene expression panel that detected presence of malignant cells (MMP9:TIMP3 ratio) and quantified PD-L1 transcript levels in small biopsy specimens. However, RTqPCR has diagnostic limitations as it does not generate absolute copy number and is not readily multiplexed. To address this, we have developed a multiplex droplet digital PCR (ddPCR) assay.

MATERIALS AND METHODS

Biopsies obtained from NSCLC patients (n = 48 adenocarcinoma and n = 40 squamous cell carcinoma) and control lung biopsy specimens (n = 20) were analysed. Absolute MMP9, TIMP3 and PD-L1 transcript copy numbers were determined within a single assay by multiplex ddPCR using Taqman primers and the QX200 Droplet Digital PCR System.

RESULTS AND CONCLUSIONS

Using our optimised triplex ddPCR assay, the MMP9:TIMP3 ratio was significantly elevated in NSCLC biopsies and using a cut-off of >0.028, was 99% (95% CI; 80.5-94.5) sensitive and 80% specific for identifying malignant biopsies. The PD-L1:TIMP3 ratio significantly associated with PD-L1 tumour cell immunohistochemistry staining (r = 0.539, p < 0.0001) and was significantly higher in biopsies with >50% PD-L1 tumour cell staining (p < 0.0001). In summary, a major advantage of our workflow is that it can accurately quantify PD-L1 tumour levels and provide sufficient nucleic acid for screening additional targetable mutations such as EGFR, ALK and ROS1 from a single small biopsy, thereby potentially avoiding the need for re-biopsy. Future studies will need to determine diagnostic ddPCR values that are predictive of clinical response to PD-1/PD-L1 immunotherapy.

摘要

目的

免疫检查点抑制剂已成为非小细胞肺癌(NSCLC)临床治疗的一部分。我们之前使用 RTqPCR 确定了一个基因表达谱,该谱可检测到恶性细胞的存在(MMP9:TIMP3 比值)并定量小活检标本中的 PD-L1 转录本水平。然而,由于 RTqPCR 不能生成绝对拷贝数且不易多重化,因此它具有诊断局限性。为了解决这个问题,我们开发了一种多重数字 PCR(ddPCR)检测方法。

材料和方法

分析了 NSCLC 患者(n=48 例腺癌和 n=40 例鳞状细胞癌)和对照肺活检标本(n=20)获得的活检。通过使用 Taqman 引物和 QX200 微滴数字 PCR 系统在单个检测中,通过多重 ddPCR 确定 MMP9、TIMP3 和 PD-L1 转录本的绝对拷贝数。

结果与结论

使用我们优化的三重 ddPCR 检测方法,NSCLC 活检中的 MMP9:TIMP3 比值显著升高,使用>0.028 的 cutoff 值,其对恶性活检的敏感性为 99%(95%CI;80.5-94.5),特异性为 80%。PD-L1:TIMP3 比值与 PD-L1 肿瘤细胞免疫组化染色显著相关(r=0.539,p<0.0001),且在>50%PD-L1 肿瘤细胞染色的活检中显著更高(p<0.0001)。总之,我们的工作流程的一个主要优势是它可以准确地定量 PD-L1 肿瘤水平,并从单个小活检中提供足够的核酸,用于筛选其他可靶向的突变,如 EGFR、ALK 和 ROS1,从而可能避免重新活检的需要。未来的研究需要确定 ddPCR 诊断值,以预测 PD-1/PD-L1 免疫治疗的临床反应。

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