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泛癌种肿瘤浸润 T 细胞单细胞全景分析。

Pan-cancer single-cell landscape of tumor-infiltrating T cells.

机构信息

Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing 100871, China.

BIOPIC, Beijing Advanced Innovation Center for Genomics, School of Life Sciences, Peking University, Beijing 100871, China.

出版信息

Science. 2021 Dec 17;374(6574):abe6474. doi: 10.1126/science.abe6474.


DOI:10.1126/science.abe6474
PMID:34914499
Abstract

T cells play a central role in cancer immunotherapy, but we lack systematic comparison of the heterogeneity and dynamics of tumor-infiltrating T cells across cancer types. We built a single-cell RNA-sequencing pan-cancer atlas of T cells for 316 donors across 21 cancer types and revealed distinct T cell composition patterns. We found multiple state-transition paths in the exhaustion of CD8 T cells and the preference of those paths among different tumor types. Certain T cell populations showed specific correlation with patient properties such as mutation burden, shedding light on the possible determinants of the tumor microenvironment. T cell compositions within tumors alone could classify cancer patients into groups with clinical trait specificity, providing new insights into T cell immunity and precision immunotherapy targeting T cells.

摘要

T 细胞在癌症免疫疗法中发挥着核心作用,但我们缺乏对跨癌症类型的肿瘤浸润 T 细胞异质性和动态的系统比较。我们针对 21 种癌症类型的 316 名供体构建了一个 T 细胞单细胞 RNA 测序泛癌症图谱,揭示了不同的 T 细胞组成模式。我们在 CD8 T 细胞耗竭中发现了多个状态转换路径,以及这些路径在不同肿瘤类型中的偏好。某些 T 细胞群体与患者特征(如突变负担)表现出特定的相关性,为肿瘤微环境的可能决定因素提供了线索。仅肿瘤内的 T 细胞组成就可以将癌症患者分为具有临床特征特异性的组,为 T 细胞免疫和针对 T 细胞的精准免疫疗法提供了新的见解。

相似文献

[1]
Pan-cancer single-cell landscape of tumor-infiltrating T cells.

Science. 2021-12-17

[2]
Recharacterizing Tumor-Infiltrating Lymphocytes by Single-Cell RNA Sequencing.

Cancer Immunol Res. 2019-7

[3]
Unravelling the heterogeneity and dynamic relationships of tumor-infiltrating T cells by single-cell RNA sequencing analysis.

J Leukoc Biol. 2020-4-9

[4]
Tumor-Infiltrating T Cells - A Portrait.

N Engl J Med. 2022-3-10

[5]
Understanding tumor-infiltrating lymphocytes by single cell RNA sequencing.

Adv Immunol. 2019-9-12

[6]
Single-Cell Analysis Reveals Characterization of Infiltrating T Cells in Moderately Differentiated Colorectal Cancer.

Front Immunol. 2020

[7]
Transcriptomic features of tumour-infiltrating CD4CD8 double positive αβ T cells in melanoma.

Sci Rep. 2020-4-3

[8]
Single-Cell RNAseq Profiling of Human γδ T Lymphocytes in Virus-Related Cancers and COVID-19 Disease.

Viruses. 2021-11-3

[9]
Importance of lymph node immune responses in MSI-H/dMMR colorectal cancer.

JCI Insight. 2021-5-10

[10]
Characterization of double-negative T cells in colorectal cancers and their corresponding lymph nodes.

Oncoimmunology. 2024

引用本文的文献

[1]
CD160 dictates anti-PD-1 immunotherapy resistance by regulating CD8 T cell exhaustion in colorectal cancer.

Nat Cell Biol. 2025-9-9

[2]
Reproducible single-cell annotation of programs underlying T cell subsets, activation states and functions.

Nat Methods. 2025-9-3

[3]
DECIPHER for learning disentangled cellular embeddings in large-scale heterogeneous spatial omics data.

Nat Commun. 2025-8-27

[4]
Single-cell sequencing reveals the role of endothelial subsets in promoting early gastric cancer progression.

Imeta. 2025-6-5

[5]
Functional tumor-reactive CD8 + T cells in pancreatic cancer.

J Exp Clin Cancer Res. 2025-8-25

[6]
Spatiotemporal analyses of the pan-cancer single-cell landscape reveal widespread profibrotic ecotypes associated with tumor immunity.

Nat Cancer. 2025-8-25

[7]
CAR-T cell therapy in china: innovations, challenges, and strategic pathways.

Discov Oncol. 2025-8-22

[8]
Interactions between tumor microenvironment and resistance to transarterial and systemic treatments for HCC.

Cancer Drug Resist. 2025-7-2

[9]
Divergent ontogeny of Tissue Resident Memory and Tissue Resident Exhausted CD8 T cells underlies distinct functional potential.

bioRxiv. 2025-8-11

[10]
SARDH in the 1-C metabolism sculpts the T-cell fate and serves as a potential cancer therapeutic target.

Cell Mol Immunol. 2025-8-20

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