肝细胞癌
免疫系统
肿瘤微环境
CD8型
肝癌
癌症
医学
癌症研究
转录组
肿瘤科
生物
内科学
基因
免疫学
基因表达
遗传学
作者
Evan Maestri,Noémi Kedei,Subreen A. Khatib,Marshonna Forgues,Kris Ylaya,Stephen M. Hewitt,Limin Wang,Jittiporn Chaisaingmongkol,Mathuros Ruchirawat,Lichun Ma,Xin Wei Wang
出处
期刊:Hepatology
[Wiley]
日期:2023-09-19
卷期号:79 (4): 768-779
被引量:6
标识
DOI:10.1097/hep.0000000000000600
摘要
Background and Aims: The fitness and viability of a tumor ecosystem are influenced by the spatial organization of its cells. We aimed to study the structure, architecture, and cell-cell dynamics of the heterogeneous liver cancer tumor microenvironment using spatially resolved multiplexed imaging. Approach and Results: We performed co-detection by indexing multiplexed immunofluorescence imaging on 68 HCC biopsies from Thai patients [(Thailand Initiative in Genomics and Expression Research for Liver Cancer (TIGER-LC)] as a discovery cohort, and then validated the results in an additional 190 HCC biopsies from Chinese patients [Liver Cancer Institute (LCI)]. We segmented and annotated 117,270 and 465,632 cells from the TIGER-LC and LCI cohorts, respectively. We observed 4 patient groups of TIGER-LC (IC1, IC2, IC3, and IC4) with distinct tumor-immune cellular interaction patterns. In addition, patients from IC2 and IC4 had much better overall survival than those from IC1 and IC3. Noticeably, tumor and CD8 + T-cell interactions were strongly enriched in IC2, the group with the best patient outcomes. The close proximity between the tumor and CD8 + T cells was a strong predictor of patient outcome in both the TIGER-LC and the LCI cohorts. Bulk transcriptomic data from 51 of the 68 HCC cases were used to determine tumor-specific gene expression features of our classified subtypes. Moreover, we observed that the presence of immune spatial neighborhoods in HCC as a measure of overall immune infiltration is linked to better patient prognosis. Conclusions: Highly multiplexed imaging analysis of liver cancer reveals tumor-immune cellular heterogeneity within spatial contexts, such as tumor and CD8 + T-cell interactions, which may predict patient survival.
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