Liver Transplantation

Prognostic risk modeling based on integrated multi-omics analysis identifies CRY2 as a key regulator in tumor immunity and patient survival in colorectal cancer.

BACKGROUND: Colorectal cancer (CRC) exhibits substantial metabolic heterogeneity. This study developed a robust prognostic signature integrating ferroptosis- and lipid metabolism-related genes to investigate the role of CRY2 in CRC progression. METHODS: Transcriptomic and clinical data from the TCGA-COAD and GSE39582 cohorts were analyzed. Weighted gene co-expression network analysis (WGCNA) was p...

Exploration of Hepatitis B Virus Infection Dynamics through Physics-Informed Deep Learning Approach.

Accurate forecasting of viral disease outbreaks is crucial for guiding public health responses and preventing widespread loss of life. Recently, Physics-Informed Neural Networks (PINNs) have emerged as a promising framework for capturing viral infection dynamics and predicting their future progression. Standard PINNs are effective in simulating disease dynamics through forward modeling approach; h...

CHRNA5 orchestrates tumorigenesis and immune invasion through the CaMKII/AKT/NF-κB-CCL20 axis in pancreatic ductal adenocarcinoma.

AIMS: Pancreatic ductal adenocarcinoma (PDAC) is a highly aggressive malignancy characterized by poor prognosis, extensive perineural invasion (PNI), ...

Identification of TNFRSF12A as a key regulator of stemness and immunosuppression in a novel glioma subtype via multi-omics analysis and experimental validation.

Glioma stem cells (GSCs) drive tumor heterogeneity, therapy resistance, and immunosuppression. This study identified molecular subtypes of glioma base...

HBV-Specific T Cell Responses for Short-Term Hepatitis Progression Prediction: A Comparative, Interpretable Machine Learning Study.

BACKGROUND & AIMS: As central determinants of viral control and immunopathology, hepatitis B virus (HBV)-specific T-cell responses provide more clinic...

A Pharmaco-Epidemiological Research Program Leveraging a Nationwide Database of Kidney Transplantation.

OBJECTIVES: The pharmaco-epidemiological research program in kidney transplantation (PERP-KT) aims to evaluate, for the principal maintenance immunosu...

Rewiring immunometabolism in hepato-biliary-pancreatic cancers: Unraveling TME-mediated metabolic suppression and advancing next-generation immunotherapeutic approaches.

Hepato-biliary-pancreatic cancers, notorious for their pronounced heterogeneity and poor prognosis, continue to be a dominant factor in cancer-related...

A machine learning-derived and functionally validated circadian rhythm signature predicts clinical outcomes and in silico drug sensitivity in colorectal cancer.

BACKGROUND: Colorectal cancer (CRC) displays considerable heterogeneity in clinical outcomes, highlighting the need for reliable prognostic biomarkers...

Identification of Methionine Metabolism-Driven Heterogeneous Subtypes in Colorectal Cancer and Their Associated Immune Microenvironment.

AIM: Tumor heterogeneity, driven by metabolic reprogramming, challenges colorectal cancer (CRC) treatment. Methionine metabolism is crucial for tumor ...

Single-cell and spatial transcriptomic landscapes reveal PIGT as a pivotal regulator of immunometabolic remodeling in colorectal cancer liver metastasis.

Colorectal cancer liver metastasis (CRLM) represents the leading cause of mortality in colorectal cancer (CRC). However, the molecular mechanisms enab...

Artificial intelligence predicts recurrent autoimmune hepatitis after liver transplantation in a multicenter cohort study.

BACKGROUND: Autoimmune hepatitis (AIH) is an important indication for liver transplantation (LT), but recurrence affects over 30% of recipients, threa...

Machine learning prediction of complications after surgery in cirrhotic patients: Integrating nutritional risk with liver function.

Liver disease is among the most common medical conditions in the world, leading to high rates of morbidity and death. Early identification of liver di...

The single-cell atlas of programmed cell death signature: A machine learning-based prognostic framework in breast cancer.

Breast cancer remains a leading cause of cancer-related mortality in women, and current prognostic models are suboptimal. The transcriptomic role of p...

Fibrosis regression in chronic liver disease: the pathologist's view.

Numerous observations have indicated that significant amounts of liver fibrosis can either completely disappear or be substantially remodelled followi...

Artificial Intelligence and Generative Models in Hepatology: From Large Language Models to Digital Pathology in Liver Disease Diagnosis and Treatment.

Artificial intelligence (AI), particularly foundation and generative models, is reshaping the practice of hepatology through enhanced knowledge synthe...

Single-cell and spatial transcriptomics reveal SUV39H1 as a master epigenetic driver of immunosuppressive niche and stemness in bladder cancer.

Bladder cancer (BC) exhibits profound molecular heterogeneity and a highly dynamic tumor microenvironment, posing major challenges for effective thera...

Multiomics and artificial intelligence identify infection associated subtypes and prognostic signatures in hepatocellular carcinoma.

UNLABELLED: Hepatocellular carcinoma (HCC) remains a major global health burden with persistently high morbidity and mortality. Dysregulation of the t...

Personalized cancer vaccines: bridging immune-oncology and precision medicine for advanced therapeutics.

Despite advancements in therapeutic cancer vaccines, clinical translation has been hindered by limited efficacy, with Sipuleucel-T remaining the only ...

Chemical-Sensing Catheters for Long-Term and Personalized Therapeutic Management.

Long-term intravenous catheterization is vital for delivering chemotherapy to cancer patients and parenteral nutrition to those with intestinal failur...

Multi-omics and artificial intelligence nominate PCLAF as a prognostic and druggable target for hepatitis B virus-associated hepatocellular carcinoma.

BACKGROUND: PCLAF (PCNA clamp-associated factor) is a protein involved in DNA replication and DNA repair. Aberrant PCLAF expression has been reported ...