Data Sheet 1_The inhibitory effect of hepatic cancer energy metabolism on immune checkpoin

Integrated single-cell RNA-seq data from GEO and Mendeley, analyzed to investigate metabolic reprogramming in hepatocellular carcinoma before and after immune checkpoint inhibitor therapy. The dataset, published by Xin Li in 2026, includes results from computational analyses using Seurat, AUCell, and pySCENIC, and a prognostic model developed from TCGA data. It supports findings on pyruvate metabolism dysregulation and the therapeutic potential of LDHA inhibition combined with PD-1 blockade.

Use Cases

• Analyze metabolic gene expression changes in HCC cells post-ICI therapy based on pyruvate metabolism genes (LDHA, LDHB, LDHD) mentioned in the description
• Develop prognostic models for hepatocellular carcinoma based on the pyruvate metabolism-based signature described
• Investigate cell-cell communication in the tumor microenvironment based on enhanced SPP1–CD44 and APOA1–ABCA1 signaling identified
• Validate therapeutic targets in vitro and in vivo based on the combination therapy of (R)-GNE-140 and PD-1 antibody described

Strengths

• Data integrates multiple analysis methods (Seurat, AUCell, pySCENIC, CellChat, Monocle) for a multi-faceted view
• Includes functional validation from in vitro (CCK8, Transwell) and in vivo (xenograft) experiments
• Prognostic model was developed using TCGA data with Cox and Lasso regression
• Dataset is openly licensed under CC-BY-4.0

Limitations

• Column-level documentation is absent; field semantics must be inferred after download
• Row count is unknown, which may limit suitability assessment
• Data may reflect methodological bias inherent to the specific single-cell and TCGA sources used

Provenance

Source

figshare

Collection Method

Integrated analysis of single-cell RNA-seq data from GEO and Mendeley, combined with TCGA data for model development.

Time Range

Temporal coverage of the underlying source data is not specified.

Freshness

Last updated 2026-04-13 05:21:20

Geography

Spatial coverage is not specified.