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 novel prognostic model for papillary thyroid cancer based on epithelial–mesenchymal transition‐related genes

24 May 2022

Abstract excerpt

BACKGROUND: The frequent incidence of postsurgical recurrence issues in papillary thyroid cancer (PTC) patients is a primary concern considering the low cancer-related mortality. Previous studies have demonstrated that epithelial-mesenchymal transition (EMT) activation is closely related to PTC progression and invasion. In this study, we aimed to develop a novel EMT signature and ancillary nomogram to improve...

Read the complete abstract on PubMed

Topics

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

Share to Cancer Cells and Metastasis
Share to Ferroptosis and cancer prognosis
Share to Thyroid Cancer Diagnosis and Treatment

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 35608185
DOI: 10.1002/cam4.4836

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

A novel prognostic model for papillary thyroid cancer based on epithelial–mesenchymal transition‐related genesPMID 35608185Read ↗

A Novel Prognostic Nomogram Based on Metastasis-Related Genes Signature for Predicting the Progression-free Interval in Patients With Papillary Thyroid CarcinomaSemantic proximity Read ↗

A Novel Metastasis-related Genes Based Signature for Predicting the Progression-free Interval of Patients With Papillary Thyroid CarcinomaSemantic proximity Read ↗

Identification of a Five-Gene Signature and Establishment of a Prognostic Nomogram to Predict Progression-Free Interval of Papillary Thyroid CarcinomaSemantic proximity Read ↗

Development and validation of epithelial mesenchymal transition-related prognostic model for hepatocellular carcinoma.Semantic proximity Read ↗

Identification of an Epithelial-Mesenchymal Transition-Related Long Non-coding RNA Prognostic Signature for Hepatocellular CarcinomaSemantic proximity Read ↗

Analysis of prognostic factors and establishment of a recurrence risk prediction model for papillary thyroid carcinoma based on BRAF stratification.Semantic proximity Read ↗

Identification of a Recurrence Signature and Validation of Cell Infiltration Level of Thyroid Cancer MicroenvironmentSemantic proximity Read ↗

Identification and validation of an immune-related prognostic signature and key gene in papillary thyroid carcinomaSemantic proximity Read ↗

Identification of a Four-miRNA Signature Predicts Prognosis in Papillary Thyroid CancerSemantic proximity Read ↗

Comprehensive transcriptomic profiling reveals molecular characteristics and biomarkers associated with risk stratification in papillary thyroid carcinoma.Semantic proximity Read ↗

Transcriptomic Analysis of Papillary Thyroid Cancer: A Focus on Immune-Subtyping, Oncogenic Fusion, and RecurrenceSemantic proximity Read ↗

Identification of Potential lncRNAs and miRNAs as Diagnostic Biomarkers for Papillary Thyroid Carcinoma Based on Machine LearningSemantic proximity Read ↗

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