Article

Early Prediction of Anti-PD-1 Response in Hepatocellular Carcinoma via Multi-Rank Taxonomic Feature Engineering and a LUT-Based Prediction Vehicle

2025-05-16

Abstract excerpt

<h4>Background</h4> Hepatocellular carcinoma (HCC) is a leading cause of cancer-related mortality. Anti-PD-1 therapy is a standard option for advanced HCC, but response rates are modest and pre-treatment response prediction remains an unmet clinical need. Prior gut microbiome-based models have failed to discriminate responders from non-responders at baseline, limiting their clinical utility for early treatment pl...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 034feb6d-cd02-5ac3-963c-fb96afffcf23
DOI: 10.1101/2025.05.15.25327728

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Early Prediction of Anti-PD-1 Response in Hepatocellular Carcinoma via Multi-Rank Taxonomic Feature Engineering and a LUT-Based Prediction VehicleDOI 10.1101/2025.05.15.25327728Read

Meta-analysis of Multi-functional Biomarkers for Discovery and Predictive Modeling of Colorectal Adenoma and CarcinomaSemantic proximity Read

Deep learning enabled integration of tumor microenvironment microbial profiles and host gene expressions for interpretable survival subtyping in diverse types of cancersSemantic proximity Read

A Pan-Cancer Multi-Omic SuperLearner for Regulated Cell Death Survival TopologiesSemantic proximity Read

Interpretable Deep Learning-Based Multi-Omics Integration for Prognosis in Hepatocellular CarcinomaSemantic proximity Read

Systematic benchmarking of foundation models and classical baselines for microbiome-based disease predictionSemantic proximity Read

Meta-Signer: Metagenomic Signature Identifier based on Rank Aggregation of FeaturesSemantic proximity Read

A Goldilocks Principle for the Gut Microbiome: Taxonomic Resolution Matters for Microbiome-Based Classification of Colorectal CancerSemantic proximity Read

Foundation Model RNAGAN Enhances Biomedical Insight of Nasopharyngeal Carcinoma MetastasisSemantic proximity Read

Gut microbiota as a prognostic biomarker for unresectable hepatocellular carcinoma treated with anti-PD-1 therapySemantic proximity Read

Time-to-event modeling with multimodal clinical and genetic features improves risk stratification of liver complications in chronic hepatitis CSemantic proximity Read

Joint Prediction of Adjuvant Therapy Response and Time-to-Response for Cancer Patients Using the Personalized-DrugRank MethodSemantic proximity Read

A Clear, Legible, Explainable, Transparent, and Elucidative (CLETE) Binary Classification Platform for Tabular DataSemantic proximity Read