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

Plasma proteomic and polygenic profiling improve risk stratification and personalized screening for colorectal cancer

14 Oct 2024

Abstract excerpt

This study aims to identify colorectal cancer (CRC)-related proteomic profiles and develop a prediction model for CRC onset by integrating proteomic profiles with genetic and non-genetic factors (QCancer-15) to improve the risk stratification and estimate of personalized initial screening age. Here, using a two-stage strategy, we prioritize 15 protein biomarkers as predictors to construct a protein risk score...

Read the complete abstract on PubMed

Topics

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

Share to Advanced Proteomics Techniques and Applications
Share to Cancer, Lipids, and Metabolism
Share to Colorectal Cancer Screening and Detection

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 39402035
DOI: 10.1038/s41467-024-52894-2

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 2 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Plasma proteomic and polygenic profiling improve risk stratification and personalized screening for colorectal cancerPMID 39402035Read ↗

Integrating genome-wide polygenic risk scores and non-genetic risk to predict colorectal cancer diagnosis: a cohort study in UK BiobankSemantic proximity Read ↗

Multiple polygenic score approach in colorectal cancer risk prediction.Semantic proximity Read ↗

Optimizing colorectal cancer screening through polygenic risk score-based risk stratification: evidence from a population-based cohort and screening trial.Semantic proximity Read ↗

Genetic prediction of colorectal cancer risk in six major ancestries provides insights to streamline practice screening guidelinesSemantic proximity Read ↗

Plasma protein-based and polygenic risk scores serve complementary roles in predicting inflammatory bowel disease.Semantic proximity Read ↗

The circulating proteome and cancer risk: a systematic literature review and meta-analysis of 26 prospective studies with genetic validation.Semantic proximity Read ↗

Ability of known colorectal cancer susceptibility SNPs to predict colorectal cancer risk: A cohort study within the UK Biobank.Semantic proximity Read ↗

Integrating genome-wide polygenic risk scores and non-genetic risk to predict colorectal cancer diagnosis using UK Biobank data: population based cohort studySemantic proximity Read ↗

Prospective Proteomic Study Identifies Potential Circulating Protein Biomarkers for Colorectal Cancer RiskSemantic proximity Read ↗

Identification of novel protein biomarkers and drug targets for colorectal cancer by integrating human plasma proteome with genomeSemantic proximity Read ↗

A new colorectal cancer risk prediction model incorporating family history, personal and environmental factorsSemantic proximity Read ↗

A New Comprehensive Colorectal Cancer Risk Prediction Model Incorporating Family History, Personal Characteristics, and Environmental Factors.Semantic proximity Read ↗

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