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Interleukin-21, acting beyond the immunological synapse, independently controls T follicular helper and germinal center B cells.白细胞介素-21 在免疫突触之外发挥作用,独立控制滤泡辅助性 T 细胞和生发中心 B 细胞。
Immunity. 2022 Aug 9;55(8):1414-1430.e5. doi: 10.1016/j.immuni.2022.06.020. Epub 2022 Jul 26.
2
Single-Cell Sequencing Reveals Trajectory of Tumor-Infiltrating Lymphocyte States in Pancreatic Cancer.单细胞测序揭示胰腺癌肿瘤浸润淋巴细胞状态的轨迹。
Cancer Discov. 2022 Oct 5;12(10):2330-2349. doi: 10.1158/2159-8290.CD-21-1248.
3
Pembrolizumab in soft-tissue sarcomas with tertiary lymphoid structures: a phase 2 PEMBROSARC trial cohort.伴三级淋巴结构的软组织肉瘤中的帕博利珠单抗:PEMBROSARC 试验队列的 2 期研究
Nat Med. 2022 Jun;28(6):1199-1206. doi: 10.1038/s41591-022-01821-3. Epub 2022 May 26.
4
B cells and tertiary lymphoid structures as determinants of tumour immune contexture and clinical outcome.B 细胞和三级淋巴结构作为肿瘤免疫微环境和临床结局的决定因素。
Nat Rev Clin Oncol. 2022 Jul;19(7):441-457. doi: 10.1038/s41571-022-00619-z. Epub 2022 Apr 1.
5
Tertiary lymphoid structures critical for prognosis in endometrial cancer patients.三级淋巴结构对子宫内膜癌患者的预后至关重要。
Nat Commun. 2022 Mar 16;13(1):1373. doi: 10.1038/s41467-022-29040-x.
6
Tertiary lymphoid structures generate and propagate anti-tumor antibody-producing plasma cells in renal cell cancer.三级淋巴结构在肾细胞癌中生成并扩增产生抗肿瘤抗体的浆细胞。
Immunity. 2022 Mar 8;55(3):527-541.e5. doi: 10.1016/j.immuni.2022.02.001. Epub 2022 Feb 28.
7
Intratumoral plasma cells predict outcomes to PD-L1 blockade in non-small cell lung cancer.肿瘤内浆细胞可预测非小细胞肺癌患者对程序性死亡受体-1配体(PD-L1)阻断治疗的反应。
Cancer Cell. 2022 Mar 14;40(3):289-300.e4. doi: 10.1016/j.ccell.2022.02.002. Epub 2022 Feb 24.
8
Pan-cancer single-cell landscape of tumor-infiltrating T cells.泛癌种肿瘤浸润 T 细胞单细胞全景分析。
Science. 2021 Dec 17;374(6574):abe6474. doi: 10.1126/science.abe6474.
9
Neoantigen-driven B cell and CD4 T follicular helper cell collaboration promotes anti-tumor CD8 T cell responses.新抗原驱动的 B 细胞和 CD4+T 滤泡辅助细胞协同作用促进抗肿瘤 CD8+T 细胞反应。
Cell. 2021 Dec 9;184(25):6101-6118.e13. doi: 10.1016/j.cell.2021.11.007. Epub 2021 Nov 30.
10
scCODA is a Bayesian model for compositional single-cell data analysis.scCODA 是一种用于分析单细胞组成数据的贝叶斯模型。
Nat Commun. 2021 Nov 25;12(1):6876. doi: 10.1038/s41467-021-27150-6.

单细胞剖析宫颈癌揭示肿瘤免疫微环境的关键亚群。

Single-cell dissection of cervical cancer reveals key subsets of the tumor immune microenvironment.

机构信息

Department of Obstetrics and Gynecology, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, China.

Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration of Ministry of Education, Department of Orthopedics, Tongji Hospital, Frontier Science Center for Stem Cells, School of Life Science and Technology, Tongji University, Shanghai, China.

出版信息

EMBO J. 2023 Aug 15;42(16):e110757. doi: 10.15252/embj.2022110757. Epub 2023 Jul 10.

DOI:10.15252/embj.2022110757
PMID:37427448
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10425846/
Abstract

The tumor microenvironment (TME) directly determines patients' outcomes and therapeutic efficiencies. An in-depth understanding of the TME is required to improve the prognosis of patients with cervical cancer (CC). This study conducted single-cell RNA and TCR sequencing of six-paired tumors and adjacent normal tissues to map the CC immune landscape. T and NK cells were highly enriched in the tumor area and transitioned from cytotoxic to exhaustion phenotypes. Our analyses suggest that cytotoxic large-clone T cells are critical effectors in the antitumor response. This study also revealed tumor-specific germinal center B cells associated with tertiary lymphoid structures. A high-germinal center B cell proportion in patients with CC is predictive of improved clinical outcomes and is associated with elevated hormonal immune responses. We depicted an immune-excluded stromal landscape and established a joint model of tumor and stromal cells to predict CC patients' prognosis. The study revealed tumor ecosystem subsets linked to antitumor response or prognosis in the TME and provides information for future combinational immunotherapy.

摘要

肿瘤微环境(TME)直接决定患者的预后和治疗效果。为了改善宫颈癌(CC)患者的预后,需要深入了解 TME。本研究对 6 对肿瘤及其相邻正常组织进行了单细胞 RNA 和 TCR 测序,以绘制 CC 免疫图谱。T 和 NK 细胞在肿瘤区域高度富集,并从细胞毒性转变为耗竭表型。我们的分析表明,细胞毒性大克隆 T 细胞是抗肿瘤反应的关键效应因子。本研究还揭示了与三级淋巴结构相关的肿瘤特异性生发中心 B 细胞。CC 患者中高生发中心 B 细胞比例预示着临床结局的改善,并与激素免疫反应的升高相关。我们描绘了免疫排斥的基质景观,并建立了肿瘤和基质细胞的联合模型来预测 CC 患者的预后。该研究揭示了 TME 中与抗肿瘤反应或预后相关的肿瘤生态系统亚群,为未来的联合免疫治疗提供了信息。