Back to search

Article

Evaluating the Value of Genomic and Immune Features for Survival Prediction Beyond MSI in Colorectal Cancer

2026-05-12

Abstract excerpt

<title>Abstract</title> <p> Background Traditional clinical predictors, such as tumor staging and pathological grading, are unable to completely express the inherent biological complexity and heterogeneity associated with colorectal cancer (CRC), which has led to an increased focus on the use of multi-omic data for developing better and personalized prognostic models by integrating genomics, transcriptional pro...

Topics

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

Identifiers and source

Literature Corpus work
a03abf1c-12bf-5a57-b342-4529baed820d
DOI
10.21203/rs.3.rs-9666712/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.
Evaluating the Value of Genomic and Immune Features for Survival Prediction Beyond MSI in Colorectal CancerDOI 10.21203/rs.3.rs-9666712/v1
Select a neighboring publication to make it the new centre.