Hepatocellular Carcinoma Treatment and Prognosis

Patient-derived HCC cells recapitulating the transcriptomic landscape of primary HCV-related liver cancer

The paper shows that LC4 cells derived from HCV-related HCC replicate the transcriptomic features of the parental tumor, including immune suppression and metabolic changes.

Decoding Liver Cancer Prognosis: From Multi-omics Subtypes, Prognostic Models to Single Cell Validation

The paper identifies two liver cancer subtypes using multi-omics data, develops a prognostic model with superior accuracy, and validates findings through single-cell analysis.

HCV- and HBV-mediated liver cancer converge on similar transcriptomic landscapes and immune profiles.

This study compares transcriptomic and immune profiles of HBV- and HCV-mediated HCC, finding convergence in tumor landscapes despite differences in adjacent tissue and highlighting sex sampling limitations.

Transarterial Embolization Using a Liquid Embolic Enhances Tumor Necrosis to Enable Improved Efficacy Compared with a Particle Embolic in a Translational Rat Model of Hepatocellular Carcinoma

This study compares liquid embolic (LE) and particle embolic (PE) in transarterial embolization (TAE) for hepatocellular carcinoma (HCC) in rats, finding LE induces greater tumor necrosis and improved treatment response.

Single-cell and spatial atlas of steatotic liver-related hepatocellular carcinoma

This study characterizes the tumor microenvironment of steatotic liver-related hepatocellular carcinoma using single-cell and spatial transcriptomic analyses, identifying immunosuppressive features and Treg-CAF interactions linked to immunotherapy resistance.

Analytical validation of HepatoPredict kit to assess hepatocellular carcinoma prognosis prior to a liver transplantation.

The paper validates the HepatoPredict kit's analytical performance for HCC prognosis before liver transplantation, showing robustness and accuracy in identifying patients who benefit from the procedure.

DNA replication stress stratifies prognosis and enables exploitable therapeutic vulnerabilities of HBV-associated hepatocellular carcinoma: an in silico strategy towards precision oncology

The paper develops a DNA replication stress-related prognostic index for HBV-associated HCC using machine learning, identifying therapeutic targets and agents for high-risk patients.

Identification of transcriptional landscapes and functions of the inhibition of ARHGEF2 in hepatocellular carcinoma cells

This study identifies the transcriptional changes and signaling pathways affected by ARHGEF2 inhibition in hepatocellular carcinoma cells, highlighting AD and CS pathways and key interacting genes.

A Multi-omics Study on the Oncogenic Roles and Clinical Significance of Dynactin Family Gene (DCTN1-6) Expression in Liver Hepatocellular Carcinoma

This study investigates the oncogenic roles and clinical significance of DCTN1-6 in LIHC using multi-omics data, finding their differential expression, methylation, mutation, and association with survival and immune infiltration.

Genomic analyses identify key molecules and significant signaling pathways in Sorafenib treated hepatocellular cancer cells

The paper identifies key molecules and signaling pathways in Sorafenib-treated hepatocellular cancer cells using RNA-seq data analysis.

Integrative multi-omics approach for stratification of tumor recurrence risk groups of Hepatocellular Carcinoma patients

The paper develops a prognostic model using multi-omics data to stratify HCC patients into recurrence risk groups, identifying key RNA, miRNA, and methylation features with significant predictive performance.

Therapeutic Efficacy and Safety of Lenvatinib for Unresectable Hepatocellular Carcinoma Beyond Progression with Sorafenib

This study evaluates lenvatinib's efficacy and safety as second/third-line treatment for unresectable HCC after sorafenib, showing higher response rates and survival in earlier lines and better liver function.

Distinct molecular etiologies of male and female hepatocellular carcinoma

This study identifies sex-specific gene expression and eQTL differences in hepatocellular carcinoma, revealing distinct molecular mechanisms driving male and female HCC.

Deep Learning based multi-omics integration robustly predicts survival in liver cancer

This paper develops a deep learning model integrating multi-omics data to predict survival in liver cancer, identifying two patient subgroups with significant survival differences.