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

Topics Community

Article

An EMT-related genes signature as a prognostic biomarker for patients with endometrial cancer

18 Sept 2023

Abstract excerpt

BACKGROUND: The epithelial-mesenchymal transition (EMT) plays an indispensable role in the development and progression of Endometrial cancer (EC). Nevertheless, little evidence is reported to uncover the functionality and application of EMT-related molecules in the prognosis of EC. This study aims to develop novel molecular markers for prognosis prediction in patients with EC. METHODS: RNA sequencing profiles of...

Source

Identifiers

PMID: 37723477
DOI: 10.1186/s12885-023-11358-4

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 31 Aug 2026.

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Community interpretation

Discuss the evidence

Ask a question, add context or challenge an interpretation. Community activity is separate from scientific evidence strength.

0

discussions

0

replies

Citations encouraged

Claims remain attributable.

No discussion yet

Be the first to add a careful, cited interpretation.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

An EMT-related genes signature as a prognostic biomarker for patients with endometrial cancerPMID 37723477Read ↗

Establishing a Prognostic Signature Based on Epithelial–Mesenchymal Transition-Related Genes for Endometrial Cancer PatientsSemantic proximity Read ↗

Identification of EMT-associated LncRNA Signature for Predicting the Prognosis of Patients with Endometrial Cancer.Semantic proximity Read ↗

Identification of a novel epithelial-mesenchymal transition-related gene signature for the prognosis prediction of endometrial carcinomaSemantic proximity Read ↗

Construction and Validation of a Prognostic Model Based on 11 Lymph Node Metastasis Related Genes for Overall Survival in Endometrial CancerSemantic proximity Read ↗

Expression of EMT-Related Genes in Lymph Node Metastasis in Endometrial Cancer: A TCGA-based studySemantic proximity Read ↗

Development and validation of m6A regulators’ prognostic significance for endometrial cancerSemantic proximity Read ↗

Identification of clusters related to programmed cell death and potential prognostic biomarkers for immunotherapy response in endometrial cancerSemantic proximity Read ↗

Establishment of a novel cell cycle-related prognostic signature predicting prognosis in patients with endometrial cancerSemantic proximity Read ↗

Identification of EMT-Related Gene Signatures to Predict the Prognosis of Patients With Endometrial CancerSemantic proximity Read ↗

Establishment of a nine‐gene prognostic model for predicting overall survival of patients with endometrial carcinomaSemantic proximity Read ↗

A 4-gene signature predicts prognosis of uterine serous carcinomaSemantic proximity Read ↗

A 4-gene signature predicts prognosis of uterine serous carcinomaSemantic proximity Read ↗

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