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空间转录组学揭示乳腺癌上皮内 T 细胞的克隆扩增。

Clonal expansion of intra-epithelial T cells in breast cancer revealed by spatial transcriptomics.

机构信息

Faculty of Medicine, Department of Medicine and Center of Translational Research in Onco-Hematology, University of Geneva, Swiss Cancer Center Leman, Genève, Switzerland.

Department of Oncology, Hôpitaux Universitaires de Genève, Genève, Switzerland.

出版信息

Int J Cancer. 2023 Nov 1;153(9):1568-1578. doi: 10.1002/ijc.34620. Epub 2023 Jun 12.

Abstract

The spatial distribution of tumor-infiltrating lymphocytes (TIL) predicts breast cancer outcome and response to systemic therapy, highlighting the importance of an intact tissue structure for characterizing tumors. Here, we present ST-FFPE, a spatial transcriptomics method for the analysis of formalin-fixed paraffin-embedded samples, which opens the possibility of interrogating archival tissue. The method involves extraction, exome capture and sequencing of RNA from different tumor compartments microdissected by laser-capture, and can be used to study the cellular composition of tumor microenvironment. Focusing on triple-negative breast cancer (TNBC), we characterized T cells, B cells, dendritic cells, fibroblasts and endothelial cells in both stromal and intra-epithelial compartments. We found a highly variable spatial distribution of immune cell subsets among tumors. This analysis revealed that the immune repertoires of intra-epithelial T and B cells were consistently less diverse and more clonal than those of stromal T and B cells. T-cell receptor (TCR) sequencing confirmed a reduced diversity and higher clonality of intra-epithelial T cells relative to the corresponding stromal T cells. Analysis of the top 10 dominant clonotypes in the two compartments showed a majority of shared but also some unique clonotypes both in stromal and intra-epithelial T cells. Hyperexpanded clonotypes were more abundant among intra-epithelial than stromal T cells. These findings validate the ST-FFPE method and suggest an accumulation of antigen-specific T cells within tumor core. Because ST-FFPE is applicable for analysis of previously collected tissue samples, it could be useful for rapid assessment of intratumoral cellular heterogeneity in multiple disease and treatment settings.

摘要

肿瘤浸润淋巴细胞(TIL)的空间分布预测乳腺癌的预后和对全身治疗的反应,突出了完整的组织结构对肿瘤特征描述的重要性。在这里,我们提出了 ST-FFPE,这是一种用于分析福尔马林固定石蜡包埋样本的空间转录组学方法,为研究存档组织开辟了可能性。该方法涉及从通过激光捕获微切割的不同肿瘤区室中提取、外显子捕获和 RNA 测序,可用于研究肿瘤微环境的细胞组成。聚焦于三阴性乳腺癌(TNBC),我们在基质和上皮内区室中描述了 T 细胞、B 细胞、树突状细胞、成纤维细胞和内皮细胞。我们发现免疫细胞亚群在肿瘤之间的空间分布具有高度可变性。这种分析表明,上皮内 T 细胞和 B 细胞的免疫受体库始终比基质 T 细胞和 B 细胞的多样性更小且更克隆。T 细胞受体(TCR)测序证实,上皮内 T 细胞相对于相应的基质 T 细胞,多样性降低且克隆性更高。对两个区室中排名前 10 的优势克隆型的分析表明,基质和上皮内 T 细胞中都存在大量共享但也有一些独特的克隆型。上皮内 T 细胞中高度扩增的克隆型比基质 T 细胞更为丰富。这些发现验证了 ST-FFPE 方法,并表明抗原特异性 T 细胞在肿瘤核心内的积累。由于 ST-FFPE 适用于对以前收集的组织样本进行分析,因此它可能有助于快速评估多种疾病和治疗环境下肿瘤内细胞异质性。

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