{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Maestri E"],"funding":["Intramural NIH HHS"],"pagination":["768-779"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC10948323"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["79(4)"],"pubmed_abstract":["<h4>Background and aims</h4>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.<h4>Approach and results</h4>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.<h4>Conclusions</h4>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."],"journal":["Hepatology (Baltimore, Md.)"],"pubmed_title":["Spatial proximity of tumor-immune interactions predicts patient outcome in hepatocellular carcinoma."],"pmcid":["PMC10948323"],"funding_grant_id":["ZIA BC011870","ZIA BC012079","ZIA BC010877","ZIA BC010876","ZIA BC012083","ZIA BC010313","Z01 BC010877","Z01 BC010876","Z01 BC010313"],"pubmed_authors":["Forgues M","Kedei N","Ylaya K","Ruchirawat M","Ma L","Khatib S","Chaisaingmongkol J","Hewitt SM","Maestri E","Wang XW","Wang L"],"additional_accession":[]},"is_claimable":false,"name":"Spatial proximity of tumor-immune interactions predicts patient outcome in hepatocellular carcinoma.","description":"<h4>Background and aims</h4>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.<h4>Approach and results</h4>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.<h4>Conclusions</h4>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.","dates":{"release":"2024-01-01T00:00:00Z","publication":"2024 Apr","modification":"2025-07-02T03:04:33.469Z","creation":"2025-07-02T03:04:33.469Z"},"accession":"S-EPMC10948323","cross_references":{"pubmed":["37725716"],"doi":["10.1097/hep.0000000000000600","10.1097/HEP.0000000000000600"]}}