Back to search

Article

The function of chemokines and their receptors in the ovarian cancer microenvironment and research on their prognostic significance

2025-12-03

Abstract excerpt

<title>Abstract</title> <p>Background Although chemokines and their receptors (CCRs) are important in the microenvironment of ovarian cancer (OC), little is known about their prognostic significance. Methods We constructed a prognostic correlation model via statistical analysis, consensus clustering analysis, and other analyses, relying on the transcriptome and corresponding clinical data of ovarian cancer sample...

Topics

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

Identifiers and source

Literature Corpus work
7fe8dc1c-d2a4-5922-8f91-56101c84679b
DOI
10.21203/rs.3.rs-8096911/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.
The function of chemokines and their receptors in the ovarian cancer microenvironment and research on their prognostic significanceDOI 10.21203/rs.3.rs-8096911/v1
A Risk Model Based on Tumor Microenvironment to Predict Survival and Immunotherapy Efficacy for Ovarian CancerSemantic proximity
Identification of CXCL10-Relevant Tumor Microenvironment Characterization and Clinical Outcome in Ovarian CancerSemantic proximity
Prognostic signature of ovarian cancer based on 14 tumor microenvironment genesSemantic proximity
Establishment and validation of a novel invasion-related gene signature for predicting the prognosis of ovarian cancerSemantic proximity
Screening of Prognostic Molecular Markers and Establishment of Prognostic Model for G-protein Coupled Receptor-Related Genes in Epithelial Ovarian Serous Cancer Based on Machine Learning MethodSemantic proximity
Identification of potential key genes of TGF-beta signaling associated with the immune response and prognosis of ovarian cancer based on bioinformatics analysisSemantic proximity
Prognostic Value of Genes Related with Tumor Microenvironment in Ovarian CancerSemantic proximity
Integrated Bioinformatical Analysis for Identification the invasion-related Genes in ovarian cancerSemantic proximity
Identification of Immune and Hypoxia Risk Classifier to Estimate Immune Microenvironment and Prognosis in Cervical CancerSemantic proximity
A Novel Immune-Related Prognostic Model Based on Chemosensitivity Predicts the Outcome of Ovarian CancerSemantic proximity
Prognostic Risk Model of Immune-Related Genes In Ovarian CancerSemantic proximity
Identification of potential biomarkers in ovarian carcinoma and an evaluation of their prognostic valueSemantic proximity
Select a neighboring publication to make it the new centre.