Back to search

Article

Single-cell sequencing and transcriptome analysis identified a comprehensive risk score model based on immune-related metabolic genes for improving the prediction of sensitivity in breast cancer immunotherapy

2023-04-18

Abstract excerpt

<h4>Background: </h4> The metabolic reprogramming of breast cancer (BC) has gained great attention in recent years. Malignant and infiltrating immune cells compete for nutrients and metabolites; still, the impact of metabolism on them remains to be further elucidated. The specific objective of this analysis was to anatomy the action of immune-related metabolic genes in breast cancer and develop a combined model to...

Topics

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

Identifiers and source

Literature Corpus work
008a935e-e529-5c01-846e-0f869518ce6c
DOI
10.21203/rs.3.rs-2807495/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.
Single-cell sequencing and transcriptome analysis identified a comprehensive risk score model based on immune-related metabolic genes for improving the prediction of sensitivity in breast cancer immunotherapyDOI 10.21203/rs.3.rs-2807495/v1
Select a neighboring publication to make it the new centre.