Back to search

Article

A Novel Signature Derived from Metabolism-Related Genes GPT and SMS to Predict Prognosis of Laryngeal Squamous Cell Carcinoma

2021-11-02

Abstract excerpt

<title>Abstract</title> <p>Background A growing body of evidence has suggested the involvement of metabolism in the occurrence and development of tumors. But the link between metabolism and laryngeal squamous cell carcinoma (LSCC) has rarely been reported. This study seeks to understand and explain the role of metabolic biomarkers in predicting the prognosis of LSCC. Methods We identified the differentially exp...

Topics

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

Identifiers and source

Literature Corpus work
c289cc25-bd8d-51e1-a2ac-ba2170d51121
DOI
10.21203/rs.3.rs-1018287/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.
A Novel Signature Derived from Metabolism-Related Genes GPT and SMS to Predict Prognosis of Laryngeal Squamous Cell CarcinomaDOI 10.21203/rs.3.rs-1018287/v1
Select a neighboring publication to make it the new centre.