Multi-omics spatial characteristics of CD8+TRM cells in hepatocellular carcinoma and immunotherapy response prediction
Year: 2025
Type: article
Study design: Observational Study
Abstract: Introduction Understanding CD8 + tissue-resident memory T cells (TRM) spatial characteristics in hepatocellular carcinoma (HCC) is challenging, and clarifying the spatial feature changes following immunotherapy represents an urgent research gap. Methods This study employs a multi-omics approach to analyze the spatial distribution and intercellular interactions of TRM cells in HCC tissues using radiomics, single-cell sequencing, and multiplex immunofluorescence histochemistry (m-IHC). Results Our results show that the number of CD8 + TRM cells in HCC increases following immunotherapy. Furthermore, after dividing tumor tissues into the tumor core (TC), invasion margin (IM), and normal tissue (N), a increase in CD8 + TRM cells from the IM to the TC can be observed. Consistent with the results of single-cell sequencing analysis, this change in spatial characteristics may be associated with the interactions between CD8 + TRM cells and CD68 + cells. Discussion Immunotherapy can modify the spatial characteristics of CD8 + TRM cells via regulating their crosstalk with other immune cells, and the spatial distribution of CD8 + TRM cells in the HCC tumor microenvironment (TME) correlates with immune checkpoint blockade (ICB) therapeutic efficacy. Clarifying the mechanisms of action of immunotherapeutic drugs and developing a non-invasive radiomics model to predict CD8⁺ TRM cell dynamics will facilitate the clinical management of HCC.
Source: Frontiers in Immunology
Authors: Shipeng Li, Ju Ma, Xinqiang Li, Bingbing Qiao, Liancai Wang, Deyu Li, Hua Zhou, Haixu Xu, Jinzhen Cai
Institutions: Zhengzhou University, Henan Provincial People's Hospital, Qingdao University, Affiliated Hospital of Qingdao University, First Affiliated Hospital of Zhengzhou University, Henan University of Science and Technology, First Affiliated Hospital of Henan University of Science and Technology, Tianjin Medical University, Fujian Medical University, Union Hospital
Language: English
Subfield: Oncology
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $3,801
OpenAlex ID: W4417103210
