← BioTransfer GEO Dataset Finder
GEO series

Effect of anti-PD-1 and/or anti-TIGIT antibodies on hepatocellular carcinoma-patient derived xenografts in humanized mice

GSE265769 Homo sapiens Expression profiling by high throughput sequencing 12 samples 2024/12/28 GPL24676
Summary
In solid tumors, the exhaustion of natural killer (NK) cells and cytotoxic T cells in the immunosuppressive tumor microenvironment poses challenges for effective tumor control. Conventional humanized mouse models of hepatocellular carcinoma-patient-derived xenografts (HCC-PDX) encounter limitations in NK-cell infiltration, hindering studies on NK-cell immunobiology. Here, we introduce an improved humanized mouse model with restored NK-cell reconstitution and infiltration in HCC-PDX, coupled with single-cell RNA-sequencing (scRNA-seq) to identify potential anti-HCC treatments. A single administration of adeno-associated virus carrying human interleukin-15 (AAV-hIL15) reinstated persistent NK-cell reconstitution and infiltration in HCC-PDX in humanized mice. ScRNA-seq revealed exhausted NK-cell and T-cell subpopulations with heightened PDCD1 and TIGIT levels. Notably, combination therapy with anti-PD-1 and anti-TIGIT antibodies alleviated HCC burden in humanized mice, demonstrating NK cell-dependent efficacy. Bulk-RNA sequencing analysis also revealed significant alterations in the tumor transcriptome that may contribute to further resistance after combination therapy, warranting further investigations. As an emerging strategy, ongoing clinical trials with anti-PD-1 and anti-TIGIT antibodies provide limited data. The improved humanized mouse HCC-PDX model not only sheds light on the pivotal role of NK cells but also serves as a robust platform for evaluating safety and anti-tumor efficacy of combination therapies and other potential regimens, complementing clinical insights.
Download
NCBI GEO page ↗ Paper (PMID 39318093) ↗ {# Names what the click gives you. "Open in finder" meant nothing to a visitor who arrived from a search engine and has never seen the tool. #} Find more human RNA-seq datasets →
Similar datasets

Search all human RNA-seq datasets in GEO →

Share this dataset

Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.