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早期乳腺癌中拷贝数改变与免疫特征之间的相互作用:2004 - 1年斯堪的纳维亚乳腺癌组随机II期试验——一项可行性研究的结果

Interplay between copy number alterations and immune profiles in the early breast cancer Scandinavian Breast Group 2004-1 randomized phase II trial: results from a feasibility study.

作者信息

Zerdes Ioannis, Simonetti Michele, Matikas Alexios, Harbers Luuk, Acs Balazs, Boyaci Ceren, Zhang Ning, Salgkamis Dimitrios, Agartz Susanne, Moreno-Ruiz Pablo, Bai Yalai, Rimm David L, Hartman Johan, Mezheyeuski Artur, Bergh Jonas, Crosetto Nicola, Foukakis Theodoros

机构信息

Department of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden.

Breast Center, Theme Cancer, Karolinska University Hospital, Stockholm, Sweden.

出版信息

NPJ Breast Cancer. 2021 Nov 19;7(1):144. doi: 10.1038/s41523-021-00352-3.

Abstract

Emerging data indicate that genomic alterations can shape immune cell composition in early breast cancer. However, there is a need for complementary imaging and sequencing methods for the quantitative assessment of combined somatic copy number alteration (SCNA) and immune profiling in pathological samples. Here, we tested the feasibility of three approaches-CUTseq, for high-throughput low-input SCNA profiling, multiplexed fluorescent immunohistochemistry (mfIHC) and digital-image analysis (DIA) for quantitative immuno-profiling- in archival formalin-fixed paraffin-embedded (FFPE) tissue samples from patients enrolled in the randomized SBG-2004-1 phase II trial. CUTseq was able to reproducibly identify amplification and deletion events with a resolution of 100 kb using only 6 ng of DNA extracted from FFPE tissue and pooling together 77 samples into the same sequencing library. In the same samples, mfIHC revealed that CD4 + T-cells and CD68 + macrophages were the most abundant immune cells and they mostly expressed PD-L1 and PD-1. Combined analysis showed that the SCNA burden was inversely associated with lymphocytic infiltration. Our results set the basis for further applications of CUTseq, mfIHC and DIA to larger cohorts of early breast cancer patients.

摘要

新出现的数据表明,基因组改变可塑造早期乳腺癌中的免疫细胞组成。然而,需要互补的成像和测序方法来定量评估病理样本中联合的体细胞拷贝数改变(SCNA)和免疫谱。在此,我们测试了三种方法的可行性——用于高通量低输入SCNA分析的CUTseq、用于定量免疫分析的多重荧光免疫组织化学(mfIHC)和数字图像分析(DIA)——在来自参与随机SBG-2004-1 II期试验的患者的存档福尔马林固定石蜡包埋(FFPE)组织样本中。CUTseq能够仅使用从FFPE组织中提取的6 ng DNA并将77个样本汇集到同一个测序文库中,以100 kb的分辨率可重复地识别扩增和缺失事件。在相同样本中,mfIHC显示CD4 + T细胞和CD68 +巨噬细胞是最丰富的免疫细胞,并且它们大多表达PD-L1和PD-1。联合分析表明,SCNA负担与淋巴细胞浸润呈负相关。我们的结果为将CUTseq、mfIHC和DIA进一步应用于更大规模的早期乳腺癌患者队列奠定了基础。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a2f4/8604966/d923c07e696a/41523_2021_352_Fig1_HTML.jpg

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