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本文引用的文献

1
Rapid brain tumor classification from sparse epigenomic data.基于稀疏表观基因组数据的快速脑肿瘤分类
Nat Med. 2025 Mar;31(3):840-848. doi: 10.1038/s41591-024-03435-3. Epub 2025 Feb 28.
2
DLBclass: a probabilistic molecular classifier to guide clinical investigation and practice in diffuse large B-cell lymphoma.DLB分类:一种用于指导弥漫性大B细胞淋巴瘤临床研究与实践的概率性分子分类器。
Blood. 2025 May 1;145(18):2041-2055. doi: 10.1182/blood.2024025652.
3
Human lymph node fibroblastic reticular cells maintain heterogeneous characteristics in culture.人淋巴结成纤维细胞网状细胞在培养中保持异质性特征。
iScience. 2024 Jun 4;27(7):110179. doi: 10.1016/j.isci.2024.110179. eCollection 2024 Jul 19.
4
Multimodal and spatially resolved profiling identifies distinct patterns of T cell infiltration in nodal B cell lymphoma entities.多模态和空间分辨分析鉴定出结内 B 细胞淋巴瘤实体中 T 细胞浸润的不同模式。
Nat Cell Biol. 2024 Mar;26(3):478-489. doi: 10.1038/s41556-024-01358-2. Epub 2024 Feb 20.
5
An atlas of cells in the human tonsil.人类扁桃体细胞图谱。
Immunity. 2024 Feb 13;57(2):379-399.e18. doi: 10.1016/j.immuni.2024.01.006. Epub 2024 Jan 31.
6
Impact of tumor microenvironment on efficacy of anti-CD19 CAR T cell therapy or chemotherapy and transplant in large B cell lymphoma.肿瘤微环境对大 B 细胞淋巴瘤中抗 CD19 CAR T 细胞治疗或化疗和移植疗效的影响。
Nat Med. 2024 Feb;30(2):507-518. doi: 10.1038/s41591-023-02754-1. Epub 2024 Jan 17.
7
New advances in cancer therapy targeting TGF-β signaling pathways.靶向转化生长因子-β信号通路的癌症治疗新进展。
Mol Ther Oncolytics. 2023 Dec 3;31:100755. doi: 10.1016/j.omto.2023.100755. eCollection 2023 Dec 19.
8
TGF-β broadly modifies rather than specifically suppresses reactivated memory CD8 T cells in a dose-dependent manner.TGF-β 以剂量依赖的方式广泛调节而非特异性抑制再激活的记忆性 CD8 T 细胞。
Proc Natl Acad Sci U S A. 2023 Nov 28;120(48):e2313228120. doi: 10.1073/pnas.2313228120. Epub 2023 Nov 21.
9
A single-cell atlas of CD19 chimeric antigen receptor T cells.嵌合抗原受体 T 细胞的单细胞图谱
Cancer Cell. 2023 Nov 13;41(11):1835-1837. doi: 10.1016/j.ccell.2023.08.015. Epub 2023 Sep 21.
10
SCENIC+: single-cell multiomic inference of enhancers and gene regulatory networks.SCENIC+:单细胞多组学推断增强子和基因调控网络。
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大B细胞淋巴瘤微环境原型图谱。

Large B cell lymphoma microenvironment archetype profiles.

作者信息

Li Xubin, Singhal Kartik, Deng Qing, Chihara Dai, Russler-Germain David, Harkins R Andrew, Henderson Jared, Arita Kotaro, Kizhakeyil Atish, Sun Ryan, Lakra Priya, Hussein Usama, Foltz Jennifer A, Wilson Ashley, Schmidt Evelyn, Nizamuddin Imran, Dinh Tommy, Kesaraju Akhil, Hamilton Mark P, Allen Carl, Gandhi Maher K, Tobin Joshua, Jiang Aixiang, Hilton Laura, Scott David W, Vega Francisco, Flowers Christopher R, Westin Jason R, Griffith Obi L, Fehniger Todd A, Griffith Malachi, Green Michael R

机构信息

Department of Lymphoma and Myeloma, University of Texas (UT) MD Anderson Cancer Center, Houston, TX, USA; Lymphoid Malignancies Program, UT MD Anderson Cancer Center, Houston, TX, USA.

Division of Oncology, Department of Medicine, Washington University School of Medicine, St. Louis, MO, USA.

出版信息

Cancer Cell. 2025 Jul 14;43(7):1347-1364.e13. doi: 10.1016/j.ccell.2025.06.002. Epub 2025 Jun 18.

DOI:10.1016/j.ccell.2025.06.002
PMID:40920660
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12417684/
Abstract

Large B cell lymphomas (LBCL) are clinically and biologically heterogeneous lymphoid malignancies with complex microenvironments that are central to disease etiology. Here, we have employed single-nucleus multiome profiling of 232 tumor and control biopsies to characterize diverse cell types and subsets that are present in LBCL tumors, effectively capturing the lymphoid, myeloid, and non-hematopoietic cell compartments. Cell subsets co-occurred in stereotypical lymphoma microenvironment archetype profiles (LymphoMAPs) defined by; (1) a sparsity of T cells and high frequencies of cancer-associated fibroblasts and tumor-associated macrophages (FMAC); (2) lymph node architectural cell types with naive and memory T cells (LN); or (3) activated macrophages and exhausted CD8 T cells (TEX). Divergent patterns of cell-cell communication underpinned the transcriptional phenotypes of archetype-defining cell subsets resulting in exclusion, support, or suppression of T cells, respectively. Consistent with this, LymphoMAPs were associated with significantly different clinical outcomes following CD19 chimeric antigen receptor (CAR) T cell therapy.

摘要

大B细胞淋巴瘤(LBCL)是临床和生物学上异质性的淋巴恶性肿瘤,其复杂的微环境是疾病病因的核心。在此,我们对232份肿瘤和对照活检样本进行了单核多组学分析,以表征LBCL肿瘤中存在的各种细胞类型和亚群,有效捕获了淋巴、髓系和非造血细胞区室。细胞亚群在由以下定义的典型淋巴瘤微环境原型图谱(LymphoMAPs)中共同出现:(1)T细胞稀少,癌症相关成纤维细胞和肿瘤相关巨噬细胞(FMAC)频率高;(2)具有幼稚和记忆T细胞的淋巴结结构细胞类型(LN);或(3)活化的巨噬细胞和耗竭的CD8 T细胞(TEX)。不同的细胞间通讯模式支撑了定义原型的细胞亚群的转录表型,分别导致T细胞的排除、支持或抑制。与此一致的是,LymphoMAPs与CD19嵌合抗原受体(CAR)T细胞治疗后的显著不同临床结果相关。