Related Experiment Video
Updated: Jul 16, 2025
Author Spotlight: Investigating Immune Cell Dynamics in the Tumor Microenvironment — Challenges and Innovations in Cancer Prognosis
Published on: April 12, 2024
Spatial proximity of tumor-immune interactions predicts patient outcome in hepatocellular carcinoma
Evan Maestri1, Noemi Kedei2, Subreen Khatib1
1Laboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute, Bethesda, Maryland, USA.
Insights
Spatial organization of liver cancer cells impacts tumor viability. Close proximity between tumor and CD8+ T-cells predicts better patient survival, highlighting immune spatial neighborhoods in hepatocellular carcinoma (HCC).
Area of Science:
- Oncology
- Immunology
- Bioinformatics
Background:
- Tumor microenvironment complexity influences cancer progression.
- Spatial cell organization is critical for tumor ecosystem fitness and viability.
- Understanding liver cancer heterogeneity requires advanced imaging techniques.
Purpose of the Study:
- To investigate the spatial architecture and cell-cell dynamics within the liver cancer microenvironment.
- To identify distinct tumor-immune cellular interaction patterns in hepatocellular carcinoma (HCC).
- To correlate spatial immune features with patient survival outcomes.
Main Methods:
- Spatially resolved multiplexed immunofluorescence imaging was performed on 258 HCC patient biopsies (Thai TIGER-LC and Chinese LCI cohorts).
- Cell segmentation and annotation were conducted on over 580,000 cells.
- Bulk transcriptomic data analyzed for tumor-specific gene expression features.
Main Results:
- Four distinct patient groups (IC1-IC4) with unique tumor-immune interactions were identified in the TIGER-LC cohort.
- Patients in IC2 and IC4 exhibited significantly better overall survival compared to IC1 and IC3.
- Close proximity between tumor cells and CD8+ T-cells strongly predicted improved patient outcomes in both cohorts.
- Immune spatial neighborhoods in HCC correlated with better prognosis.
Conclusions:
- Highly multiplexed imaging reveals significant tumor-immune cellular heterogeneity in HCC within spatial contexts.
- Tumor and CD8+ T-cell interactions are key spatial features that may predict patient survival in liver cancer.
- Spatial immune infiltration patterns offer prognostic value in HCC.
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.
More Related Videos
08:25Mass Cytometry Analysis of Systemic and Local Immune Responses in Hepatocellular Carcinoma
Published on: April 25, 2025
06:05Author Spotlight: Multiplex Immunofluorescence Combined with Spatial Image Analysis for the Clinical and Biological Assessment of the Tumor Microenvironment
Published on: June 2, 2023
