Transcriptomics

Dataset Information

0

Multi-omics identifies the link between intratumor steatosis and exhausted tumor immune microenvironment in hepatocellular carcinoma


ABSTRACT: Immunotherapy becomes standard-of-care treatment of hepatocellular carcinoma (HCC) but still limited number of patients benefit from immunotherapy due to the high heterogeneity of tumor immune-microenvironment (TIME) of HCC patients. Therefore, it is important to stratify patients who benefit from immunotherapy by analyzing the molecular and immunological diversity of HCC. Since non-viral HCC is rapidly increasing all over the world, in this study, we focused on non-viral HCC and aimed to identify immunotherapy-susceptible patients through multi-omics. Global RNA sequencing of surgically-resected tumor tissues in 113 non-viral HCC patients was performed. Unsupervised hierarchical clustering classified non-viral HCCs into 3 molecular classes associated with patient prognosis and corresponding driver gene abnormality. We further identified the immune-enriched but -exhausted subclass with intratumor steatosis in non-viral HCCs, characterized by T-cell exhaustion, infiltration of M2 macrophage and cancer-associated fibroblast (CAF), high PD-L1 expression, and TGF-β signaling activation..

ORGANISM(S): Homo sapiens

PROVIDER: GSE190967 | GEO | 2022/05/22

REPOSITORIES: GEO

Dataset's files

Source:
Action DRS
Other
Items per page:
1 - 1 of 1

Similar Datasets

2020-10-24 | GSE159977 | GEO
2010-09-08 | E-GEOD-22635 | biostudies-arrayexpress
2014-10-19 | E-GEOD-62441 | biostudies-arrayexpress
2023-11-15 | PXD039944 | Pride
2021-03-03 | PXD017236 | Pride
| phs000885 | dbGaP
2016-09-27 | PXD003552 | Pride
2022-06-20 | GSE198190 | GEO
2014-10-19 | GSE62441 | GEO
2021-06-29 | GSE164760 | GEO