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

Defining three ferroptosis-based molecular subtypes and developing a prognostic risk model for high-grade serous ovarian cancer

24 May 2024

Abstract excerpt

BACKGROUND: As a newly defined regulated cell death, ferroptosis is a potential biomarker in ovarian cancer (OV). However, its underlying mechanism in tumor microenvironment (TME) and clinical prediction significance in OV remained to be elucidated. METHODS: The transcriptome data of high-grade serous OV from The Cancer Genome Atlas (TCGA) database were downloaded. Molecular subtypes were classified based on...

Read the complete abstract on PubMed

Topics

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

Share to Cancer Immunotherapy and Biomarkers
Share to Ferroptosis and cancer prognosis
Share to Immune cells in cancer

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 38795391
DOI: 10.18632/aging.205857

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

Defining three ferroptosis-based molecular subtypes and developing a prognostic risk model for high-grade serous ovarian cancerPMID 38795391Read ↗

Construction and validation of a novel ferroptosis-related signature for evaluating prognosis and immune microenvironment in ovarian cancerSemantic proximity Read ↗

Ferroptosis-Related Long Noncoding RNAs as Prognostic Biomarkers for Ovarian CancerSemantic proximity Read ↗

Construction of Ovarian Cancer Prognostic Model Based on the Investigation of Ferroptosis-Related lncRNASemantic proximity Read ↗

Decoding the Ferroptosis-Related Gene Signatures and Immune Infiltration Patterns in Ovarian Cancer: Bioinformatic Prediction Integrated with Experimental ValidationSemantic proximity Read ↗

Integrated Analysis of Ferroptosis-Related Biomarker Signatures to Improve the Diagnosis and Prognosis Prediction of Ovarian CancerSemantic proximity Read ↗

Integrative Analysis of Novel Ferroptosis-Related Genes Signatures as Prognostic Biomarkers in Ovarian Cancer.Semantic proximity Read ↗

Construction of an Immunity and Ferroptosis-Related Risk Score Model to Predict Ovarian Cancer Clinical Outcomes and Immune MicroenvironmentSemantic proximity Read ↗

Identification and validation of a novel prognostic signature based on ferroptosis-related genes in Ovarian CancerSemantic proximity Read ↗

A ferroptosis-related lncRNA signature predicts prognosis in ovarian cancer patientsSemantic proximity Read ↗

Identification of a Novel Model for Predicting the Prognosis and Immune Response Based on Genes Related to Cuproptosis and Ferroptosis in Ovarian CancerSemantic proximity Read ↗

Prediction of Prognosis in Patients With Endometrial Carcinoma and Immune Microenvironment Estimation Based on Ferroptosis-Related GenesSemantic proximity Read ↗

A novel ferroptosis related gene signature is associated with prognosis in patients with ovarian serous cystadenocarcinomaSemantic proximity Read ↗

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