Article

Systematic identification of pan-cancer single-gene expression biomarkers in drug high-throughput screens

2025-08-04

Abstract excerpt

<h4>ABSTRACT</h4> Precision oncology relies on molecular biomarkers to stratify patients into responders and non-responders to a given treatment. Although gene expression profiles have historically been explored for biomarker discovery, fewer studies investigated single-gene expression biomarkers. Additionally, many approaches are limited to cancer type-specific associations, which constrain statistical power. To...

Topics

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

Identifiers and source

Literature Corpus work: fbdda3d0-ff96-5b8a-ba03-69203bf2ca29
DOI: 10.1101/2025.08.03.668348

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Systematic identification of pan-cancer single-gene expression biomarkers in drug high-throughput screensDOI 10.1101/2025.08.03.668348Read

Pan-Cancer Biomarker Analysis from the Cancer Dependency Map: A Blueprint for Precision OncologySemantic proximity Read

Integrated pan-cancer gene expression and drug sensitivity analysis reveals SLFN11 mRNA as a solid tumor biomarker predictive of sensitivity to DNA-damaging chemotherapySemantic proximity Read

Discovering novel long non-coding RNA predictors of anticancer drug sensitivity beyond protein-coding genesSemantic proximity Read

Pan-Cancer Drug Sensitivity Prediction from Gene Expression using Deep LearningSemantic proximity Read

scPharm: identifying pharmacological subpopulations of single cells for precision medicine in cancersSemantic proximity Read

Systematic assessment of multi-gene predictors of pan-cancer cell line sensitivity to drugs exploiting gene expression dataSemantic proximity Read

Drug Sensitivity Prediction From Cell Line-Based Pharmacogenomics Data: Guidelines for Developing Machine Learning ModelsSemantic proximity Read

Predicting drug response from single-cell expression profiles of tumoursSemantic proximity Read

Integrative omics analyses broaden treatment targets in human cancer.Semantic proximity Read

Inferring therapeutic vulnerability within tumors through integration of pan-cancer cell line and single-cell transcriptomic profilesSemantic proximity Read

Integration of Pan-Cancer Cell Line and Single-Cell Transcriptomic Profiles Enables Inference of Therapeutic Vulnerabilities in Heterogeneous TumorsSemantic proximity Read

Dr.Paso: Drug response prediction and analysis system for oncology researchSemantic proximity Read