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泛癌种中(PD-L1)拷贝数改变在 244584 个患者样本中的分析及与 PD-L1 蛋白表达的相关性。

Pan-cancer landscape of (PD-L1) copy number changes in 244 584 patient samples and the correlation with PD-L1 protein expression.

机构信息

Foundation Medicine Inc, Cambridge, Massachusetts, USA

Foundation Medicine Inc, Cambridge, Massachusetts, USA.

出版信息

J Immunother Cancer. 2021 May;9(5). doi: 10.1136/jitc-2021-002680.

DOI:10.1136/jitc-2021-002680
PMID:33972391
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8112409/
Abstract

INTRODUCTION

Several studies have shown clinical outcomes data that support the use of ) copy-number (CN) gains and/or losses as a biomarker for immune checkpoint inhibitor (ICPI). Here, we present the landscape of CN changes across a large cohort of solid tumor cases and correlate these with PD-L1 protein expression by immunohistochemistry.

METHODS

We analyzed all cases that underwent comprehensive genomic profiling (CGP) testing at Foundation Medicine between August 2014 and June 2020. CN changes were correlated with PD-L1 expression in tumor types where there were Food and Drug Administration approved companion diagnostic (CDx) claims and the CDx assay was used to assess PD-L1 expression.

RESULTS

In all, 244 584 samples representing 290 solid tumor types were included in the study. Overall, 17.6% (42 983/244 584) had CN gains (>specimen ploidy), 44.6% (108 970/244 584) were CN neutral, and 37.9% (92 631/244 584) had CN loss. Using different CN cut offs to define positivity resulted in different prevalence estimates: ploidy +1, 17.4% (42 636/244 584); ploidy +2, 6.2% (15 183/244 584); ploidy +3, 2.2% (5375/244 584); ploidy +4, 1.1% (2712/244 584); and ploidy +8, 0.2% (434/244 584). The prevalence of CN changes and CN positivity varied based on tumor type. CN gains were significantly associated with PD-L1 positivity in NSCLC, urothelial carcinoma, breast carcinoma, cervical carcinoma, esophagus squamous cell carcinoma (SCC) and head and neck SCC (ORs 3.3, 3.0, 2.0, 4.5. 3.8, 8.4, 1.4, respectively; p<0.05) and with microsatellite instability status in only clinically relevant tumor types (gastric adenocarcinoma, colorectal adenocarcinoma, uterine endometrial adenocarcinoma, esophageal adenocarcinoma and gastroesophageal junction adenocarcinoma (OR: 5.2, 1.9, 3.2, 3.7 and 6.5, respectively; p<0.05)). Conversely, CN changes were not significantly correlated with tumor mutational burden in almost all the tumor types.

CONCLUSION

CN changes and PD-L1 expression were highly correlated in multiple tumor types. These prevalence data on CN changes across a large cohort of different solid tumors can be used to design future clinical studies to assess whether CN changes could be a potential biomarker for ICPI.

摘要

简介

多项研究表明,临床结果数据支持将拷贝数(CN)增益和/或丢失作为免疫检查点抑制剂(ICPI)的生物标志物。在这里,我们展示了大量实体瘤病例中 CN 变化的情况,并通过免疫组织化学分析将其与 PD-L1 蛋白表达相关联。

方法

我们分析了 2014 年 8 月至 2020 年 6 月期间在 Foundation Medicine 进行全面基因组分析(CGP)检测的所有病例。在有食品和药物管理局批准的伴随诊断(CDx)适应证的肿瘤类型中,CN 变化与 PD-L1 表达相关,并且使用 CDx 检测来评估 PD-L1 表达。

结果

在总共 290 种实体瘤类型的 244584 个样本中,有 17.6%(42983/244584)有 CN 增益(>标本倍性),44.6%(108970/244584)为 CN 中性,37.9%(92631/244584)有 CN 丢失。使用不同的 CN 截止值来定义阳性会导致不同的患病率估计:倍性+1,17.4%(42636/244584);倍性+2,6.2%(15183/244584);倍性+3,2.2%(5375/244584);倍性+4,1.1%(2712/244584);倍性+8,0.2%(434/244584)。CN 变化和 CN 阳性的患病率因肿瘤类型而异。在非小细胞肺癌、尿路上皮癌、乳腺癌、宫颈癌、食管鳞状细胞癌(SCC)和头颈部 SCC 中,CN 增益与 PD-L1 阳性显著相关(OR 分别为 3.3、3.0、2.0、4.5、3.8、8.4、1.4;p<0.05),并且仅在临床相关肿瘤类型中与微卫星不稳定性状态相关(胃腺癌、结直肠癌、子宫内膜腺癌、食管腺癌和胃食管交界处腺癌;OR 分别为 5.2、1.9、3.2、3.7、6.5;p<0.05)。相反,在几乎所有肿瘤类型中,CN 变化与肿瘤突变负担均无显著相关性。

结论

CN 变化与多种肿瘤类型中的 PD-L1 表达高度相关。这些在大量不同实体瘤患者中观察到的 CN 变化的患病率数据可用于设计未来的临床研究,以评估 CN 变化是否可能成为 ICPI 的潜在生物标志物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/31fd/8112409/cc2707539134/jitc-2021-002680f05.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/31fd/8112409/e98756cfc4ae/jitc-2021-002680f01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/31fd/8112409/94a01fbc561b/jitc-2021-002680f02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/31fd/8112409/36099bea8bde/jitc-2021-002680f03.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/31fd/8112409/9d79f611beb5/jitc-2021-002680f04.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/31fd/8112409/cc2707539134/jitc-2021-002680f05.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/31fd/8112409/e98756cfc4ae/jitc-2021-002680f01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/31fd/8112409/94a01fbc561b/jitc-2021-002680f02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/31fd/8112409/36099bea8bde/jitc-2021-002680f03.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/31fd/8112409/9d79f611beb5/jitc-2021-002680f04.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/31fd/8112409/cc2707539134/jitc-2021-002680f05.jpg

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