Back to search

Article

Age-Stratified Analysis of Therapeutic, Immune, and Glycosylation Gene Expression in Colorectal Cancer Using Machine Learning

2025-06-25

Abstract excerpt

<title>Abstract</title> <p>Colorectal cancer (CRC) is a major global health issue, yet current treatment strategies rarely consider patient age differences, leading to variable therapeutic efficacy and clinical outcomes. Although numerous biomarkers for CRC have been identified, their age-specific expression profiles and biological implications remain poorly understood, limiting the potential for age-tailored int...

Topics

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

Identifiers and source

Literature Corpus work
fd05fce8-a13a-52f0-9972-7a6dfa0c7cd9
DOI
10.21203/rs.3.rs-6805885/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Age-Stratified Analysis of Therapeutic, Immune, and Glycosylation Gene Expression in Colorectal Cancer Using Machine LearningDOI 10.21203/rs.3.rs-6805885/v1
Select a neighboring publication to make it the new centre.