A Pan-Cancer Single-Cell Transcriptomic Atlas of Natural Killer (NK) Cells Reveals Intrinsic and Extrinsic Mediators of NK Cell Anti-Tumor Functions

生物 自然杀伤细胞 表型 转录组 细胞 癌细胞 癌症 免疫学 单细胞分析 淋巴因子激活杀伤细胞 肿瘤微环境 癌症研究 免疫系统 细胞毒性T细胞 白细胞介素21 T细胞 基因 基因表达 遗传学 体外
作者
John R. Lozada,Atef Ali,Abderrahman Day,Jacob A. Myers,Ella Boytim,Hannah E. Bergom,Nicholas A. Zorko,Martin Felices,Jeffrey S. Miller,Justin H. Hwang,Frank Cichocki
出处
期刊:Blood [Elsevier BV]
卷期号:142 (Supplement 1): 2547-2547
标识
DOI:10.1182/blood-2023-187347
摘要

Background: Natural killer (NK) cells are critical mediators of anti-tumor immunity, engaging in direct cytotoxic responses and promoting pro-inflammatory immune microenvironments. The molecular mechanisms underlying these functions, however, have yet to be fully elucidated. This is due in part to a lack of understanding of the phenotypic and functional diversity of NK cells across cancer types. Here, we present a single-cell transcriptomic atlas of >250,000 NK cells spanning 340 patients across 17 cancer types to advance our understanding of tumor-infiltrating NK cells. Methods: We re-analyzed publicly available single-cell RNA-sequencing (scRNA-seq) datasets of primary, therapy-naïve tumors, as well as matching peripheral blood samples and healthy donor blood samples. We employed systematic computational analyses to deconvolute the phenotypic and functional diversity of tumor-infiltrating NK cells and define key regulators of NK cell functions in both a cancer type-specific and pan-cancer manner. Feature expression module scoring was used to infer phenotypic and functional characteristics of NK cell clusters in each cancer type. Transcription factor regulon and cell-cell communication prediction algorithms were applied to understand the mechanistic drivers of NK cell populations within tumors. Results: Tumor-infiltrating NK cells display distinct patterns of phenotypic and functional features across cancer types. Nonetheless, we identify consensus NK cell populations across cancers that demonstrate the utility and performance of our gene module-based phenotypic and functional annotations. Interestingly, we observe the enrichment of adaptive-like and CD56 bright NK cell populations in tumors that exhibit features of tissue residency, including the upregulation of ITGA1, ITGAE, and CD69 alongside the downregulation of FCG3RA. Notably, these tissue-resident populations display enhanced chemokine and cytokine activity compared to their recruited counterparts, suggesting the significance of tissue-resident NK cell populations in immune recruitment to tumors. We find the phenotypic composition of intra-tumoral NK cells is vastly different than that of circulating NK cells which harbor predominantly CD56 dim populations, as well as a significant proportion of adaptive-like NK cells in several cancer types. Leveraging the paired nature of several tumor and peripheral blood samples, we performed temporal comparative analyses that revealed the robust expression of KLF2 and S1PR5 in circulation which is then lost in paired tumor tissues. While KLF2 and S1PR5 have been previously implicated in the homing and migration of immune cells, their roles in the trafficking of NK cells to tumors have yet to be defined. In modeling transitions from canonical to stressed NK cell states, we not only identify well-established NK cell checkpoints ( TIM-3, LAG3, and CISH) but also identify novel putative checkpoints yet to be investigated in NK cells, such as the AP-1 family of transcription factors. Additionally, we examine extrinsic factors contributing to intra-tumoral NK cell phenotypes, detecting significant crosstalk between NK cells and immunomodulatory macrophages and CD4+ T cells mediated by galectin-9 and TGFβ interactions. Conclusions: We define the phenotypic and functional pan-cancer landscape of NK cells and uncover both intrinsic and extrinsic factors influencing their anti-tumor functions. We envision our NK cell atlas will facilitate the development of strategies to enhance NK cell-based immunotherapies against cancer.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
小黄发布了新的文献求助10
刚刚
CHEN发布了新的文献求助30
1秒前
2秒前
澪mio发布了新的文献求助10
3秒前
000完成签到 ,获得积分10
4秒前
含蓄小兔子完成签到 ,获得积分10
4秒前
5秒前
万能图书馆应助不喜采纳,获得10
5秒前
周爱李完成签到,获得积分10
5秒前
77发布了新的文献求助10
5秒前
丰富紫寒发布了新的文献求助10
6秒前
打打应助fffff采纳,获得10
6秒前
充电宝应助呼呼兔采纳,获得10
7秒前
小黄完成签到,获得积分10
7秒前
8秒前
科研通AI2S应助温淼采纳,获得10
8秒前
在水一方应助dddim采纳,获得10
8秒前
益生益生发布了新的文献求助10
9秒前
hheyDJ发布了新的文献求助10
11秒前
11秒前
12秒前
乐观思真完成签到,获得积分10
12秒前
zwl发布了新的文献求助10
13秒前
13秒前
14秒前
orixero应助Ken77采纳,获得10
14秒前
在水一方应助科研通管家采纳,获得10
14秒前
科目三应助科研通管家采纳,获得10
14秒前
Cino发布了新的文献求助10
15秒前
在水一方应助科研通管家采纳,获得10
15秒前
小蘑菇应助科研通管家采纳,获得10
15秒前
科研通AI5应助科研通管家采纳,获得10
15秒前
隐形曼青应助科研通管家采纳,获得10
15秒前
小马甲应助科研通管家采纳,获得10
15秒前
所所应助科研通管家采纳,获得10
15秒前
15秒前
15秒前
随遇而安应助zxxx采纳,获得10
15秒前
冰魂应助俏皮的怜雪采纳,获得20
17秒前
司徒寒烟发布了新的文献求助10
17秒前
高分求助中
Encyclopedia of Mathematical Physics 2nd edition 888
Introduction to Strong Mixing Conditions Volumes 1-3 500
Tip60 complex regulates eggshell formation and oviposition in the white-backed planthopper, providing effective targets for pest control 400
Optical and electric properties of monocrystalline synthetic diamond irradiated by neutrons 320
共融服務學習指南 300
Essentials of Pharmacoeconomics: Health Economics and Outcomes Research 3rd Edition. by Karen Rascati 300
Peking Blues // Liao San 300
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3803508
求助须知:如何正确求助?哪些是违规求助? 3348396
关于积分的说明 10338293
捐赠科研通 3064441
什么是DOI,文献DOI怎么找? 1682571
邀请新用户注册赠送积分活动 808307
科研通“疑难数据库(出版商)”最低求助积分说明 764034