five

Presence of tertiary lymphoid structures and exhausted tissue-resident T cells determines clinical response to PD-1 blockade in renal cell carcinoma

收藏
DataONE2025-02-20 更新2025-04-26 收录
下载链接:
https://search.dataone.org/view/sha256:4f5345811f5206f89d43d82bc6058345161d66ca669e17a3fdbb706c64d6c2e2
下载链接
链接失效反馈
官方服务:
资源简介:
Immune checkpoint inhibitors (ICI) targeting the PD-1 pathway have transformed treatment of advanced renal cell carcinoma (RCC), but mechanisms underlying therapeutic response remain largely unknown. Herein, we perform transcriptomic analysis on RCC biospecimens from 102 patients enrolled in a phase II clinical trial of frontline nivolumab (NCT03117309) to investigate determinants of response to anti-PD1 monotherapy. Through bulk analysis, we identify an enrichment of genes associated with tertiary lymphoid structures (TLS) in responding patients. Using single-cell transcriptomics and external cohort validation, we identify a population of tissue-resident (ZNF683+ SLAMF7+) exhausted CD8+ T cells enriched in patients with poor clinical outcomes. Integrating these findings, we find tumors with high TLS and low tissue-resident exhausted CD8+ T cells have superior clinical outcomes with nivolumab. Altogether, these analyses contribute to a growing understanding of how the tumor microenviron..., , , # **Presence of tertiary lymphoid structures and exhausted tissue-resident T cells determines clinical response to PD-1 blockade in renal cell carcinoma** [https://doi.org/10.5061/dryad.dv41ns28r](https://doi.org/10.5061/dryad.dv41ns28r) ## Description of the data and file structure This dataset contains single-cell RNA sequencing (scRNA-seq) data from 19 samples from 17 renal cell carcinoma (RCC) patients, including 2 sets of paired pre- and post-treatment (aPD-1) samples. Each dataset is provided as a zip file, corresponding to one patient. The data was processed using the 10x Genomics Chromium platform and is provided in the standard sparse matrix format. Each zip file contains the following three files: * **barcodes.tsv** – A list of cell barcodes. * **features.tsv** – A list of gene identifiers. * **matrix.mtx** – A sparse matrix storing gene expression counts. **File Naming Conventions** The files are named using the following format: * **260-1XXX_BL_filtered_feature_bc_ma...
创建时间:
2025-02-26
二维码
社区交流群
二维码
科研交流群
商业服务