Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

A nine-gene signature related to tumor microenvironment predicts overall survival with ovarian cancer

24 Mar 2020

Abstract excerpt

Mounting evidence suggests that immune cell infiltration within the tumor microenvironment (TME) is a crucial regulator of carcinogenesis and therapeutic efficacy in ovarian cancer (OC). In this study, 593 OC patients from TCGA were divided into high and low score groups based on their immune/stromal scores resulting from analysis utilizing the ESTIMATE algorithm. Differential expression analysis revealed 294...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Cancer-related molecular mechanisms research
Share to Ferroptosis and cancer prognosis
Share to Ovarian cancer diagnosis and treatment

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 32208363
DOI: 10.18632/aging.102914

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

A nine-gene signature related to tumor microenvironment predicts overall survival with ovarian cancerPMID 32208363Read ↗

Prognostic signature of ovarian cancer based on 14 tumor microenvironment genesSemantic proximity Read ↗

A Nine-Immune-Related Gene Prognostic Signature for Predicting Outcomes in High-Grade Serous Ovarian CancerSemantic proximity Read ↗

A Risk Model Based on Tumor Microenvironment to Predict Survival and Immunotherapy Efficacy for Ovarian CancerSemantic proximity Read ↗

Single-sample gene set enrichment analysis reveals the clinical implications of immune-related genes in ovarian cancerSemantic proximity Read ↗

Development of a Multi-gene-based Immune Prognostic Signature in Ovarian CancerSemantic proximity Read ↗

Integrative Multi-Omics and Machine Learning Approach Reveals Tumor Microenvironment-Associated Prognostic Biomarkers in Ovarian CancerSemantic proximity Read ↗

Prognostic risk model of immune-related genes in ovarian cancerSemantic proximity Read ↗

Identification of seven hypoxia-related genes signature and risk score models for predicting prognosis for ovarian cancer.Semantic proximity Read ↗

Prognostic Value of Genes Related with Tumor Microenvironment in Ovarian CancerSemantic proximity Read ↗

Prognostic Risk Model of Immune-Related Genes In Ovarian CancerSemantic proximity Read ↗

Immunogenic cell death-related gene landscape predicts the overall survival and immune infiltration status of ovarian cancerSemantic proximity Read ↗

Identification of prognostic immune‐related gene signature associated with tumor microenvironment of colorectal cancerSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.