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

Establishment of a novel cell cycle-related prognostic signature predicting prognosis in patients with endometrial cancer

20 Jul 2020

Abstract excerpt

BACKGROUND: Endometrial cancer (EnCa) ranks fourth in menace within women's malignant tumors. Large numbers of studies have proven that functional genes can change the process of tumors by regulating the cell cycle, thereby achieving the goal of targeted therapy. METHODS: The transcriptional data of EnCa samples obtained from the TCGA database was analyzed. A battery of bioinformatics strategies, which included...

Source

Identifiers

PMID: 32699528
DOI: 10.1186/s12935-020-01428-z

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

Establishment of a novel cell cycle-related prognostic signature predicting prognosis in patients with endometrial cancerPMID 32699528Read ↗

Identification of Potential Crucial Genes Associated With the Pathogenesis and Prognosis of Endometrial CancerSemantic proximity Read ↗

Eleven genes associated with progression and prognosis of endometrial cancer (EC) identified by comprehensive bioinformatics analysisSemantic proximity Read ↗

Identification of molecular markers associated with the progression and prognosis of endometrial cancer: a bioinformatic studySemantic proximity Read ↗

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

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

Identification of candidate biomarkers associated with the diagnosis and prognosis of endometrial cancer: a bioinformatics analysisSemantic proximity Read ↗

Development and Validation of a RNA Binding Protein-Associated Prognostic Model for Uterine Corpus 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 ↗

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

Combining Bioinformatics and Experiments to Identify and Verify Key Genes with Prognostic Values in Endometrial CarcinomaSemantic proximity Read ↗

Identification of Candidate Biomarkers Associated With the Diagnosis and Prognosis of Endometrial Cancer ：A Bioinformatics Analysis IdentifiesSemantic proximity Read ↗

Development of Biomarker Signatures Associated with Anoikis to Predict Prognosis in Endometrial Carcinoma PatientsSemantic proximity Read ↗

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