Back to search

Article

Identification of Multiple Prognostic Biomarker Sets for Risk Stratification in SKCM

2025-03-05

Abstract excerpt

Most of the existing studies have identified a single profile of prognostic biomarkers for predicting high-risk cancer patients using transcriptomics data. In this study, we propose multiple distinct sets of prognostic biomarkers for predicting high-risk Skin Cutaneous Melanoma (SKCM) patients. Our primary analysis reveals that the expression of certain genes, such as CREG1, PCGF5, and VPS13C, strongly correlates...

Topics

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

Identifiers and source

Literature Corpus work
e1d9ec30-420f-5f43-9d5a-2f01e29e10df
DOI
10.1101/2025.02.27.640548
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.
Identification of Multiple Prognostic Biomarker Sets for Risk Stratification in SKCMDOI 10.1101/2025.02.27.640548
Select a neighboring publication to make it the new centre.