Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Integrative genomic and single-cell framework identifies druggable targets for colorectal cancer precision therapy

27 May 2025

Abstract excerpt

Background: Colorectal cancer (CRC) remains a leading cause of cancer-related mortality worldwide. Despite therapeutic advances, there is a critical need to identify novel, effective, and safe drug targets to improve precision treatment strategies. Methods: We developed a multi-layered framework integrating Mendelian randomization (MR), colocalization analysis, genome-wide association study (GWAS) data, and...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Ferroptosis and cancer prognosis
Share to Genetic Associations and Epidemiology
Share to Single-cell and spatial transcriptomics

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 40496862
DOI: 10.3389/fimmu.2025.1604154

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Integrative genomic and single-cell framework identifies druggable targets for colorectal cancer precision therapyPMID 40496862Read ↗

Identification of Shared Target Genes for Breast and Colorectal Cancer: A Mendelian Randomization and Spatial Transcriptomics AnalysisSemantic proximity Read ↗

Identification of the clinical prediction model and biomarkers based on chromatin regulators in colon cancer by integrated analysis of bulk- and single-cell RNA sequencing dataSemantic proximity Read ↗

Integration of single-cell sequencing and experimental validation identified P2RY13/NF-κB as an immunological factor of patients with colorectal cancerSemantic proximity Read ↗

Integrating multi-tissue expression and splicing data to prioritise anatomical subsite- and sex-specific colorectal cancer susceptibility genes with therapeutic potentialSemantic proximity Read ↗

An atlas of genetic effects on cellular composition of the tumor microenvironment.Semantic proximity Read ↗

Integrative multi-omics analysis identifies key genes and colocalized signals associated with colorectal cancer risk.Semantic proximity Read ↗

A Comprehensive Multi-Omics Analysis Identifies a Robust Scoring System for Cancer-Associated Fibroblasts and Intervention Targets in Colorectal CancerSemantic proximity Read ↗

Comprehensive evaluation of immunological attributes and immunotherapy responses of positive T cell function regulators in colorectal cancer.Semantic proximity Read ↗

Identification of Novel Drug Target Genes in Inflammatory Bowel Disease through Mendelian Randomization Study and Single-Cell AnalysisSemantic proximity Read ↗

Integrative analysis of the immunological features and immunotherapy response of positive regulators of T cell function in colorectal cancerSemantic proximity Read ↗

From Germline Variants to Tumor Outcome: GWAS-Based Functional Genomics Prioritizes Colorectal Cancer Susceptibility Genes and Links SMAD9 to Prognosis.Semantic proximity Read ↗

Integrative analysis reveals a four-gene signature for predicting survival and immunotherapy response in colon cancer patients using bulk and single-cell RNA-seq dataSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.