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

EMT-related gene classifications predict the prognosis, immune infiltration, and therapeutic response of osteosarcoma

7 Aug 2024

Abstract excerpt

Background: Osteosarcoma (OS), a bone tumor with high ability of invasion and metastasis, has seriously affected the health of children and adolescents. Many studies have suggested a connection between OS and the epithelial-mesenchymal transition (EMT). We aimed to integrate EMT-Related genes (EMT-RGs) to predict the prognosis, immune infiltration, and therapeutic response of patients with OS. Methods: We used...

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 Sarcoma Diagnosis and Treatment

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 39170698
DOI: 10.3389/fphar.2024.1419040

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 3 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

EMT-related gene classifications predict the prognosis, immune infiltration, and therapeutic response of osteosarcomaPMID 39170698Read ↗

Unfolded Protein Response–Related Signature Associates With the Immune Microenvironment and Prognostic Prediction in OsteosarcomaSemantic proximity Read ↗

Molecular characterization of immunogenic cell death indicates prognosis and tumor microenvironment infiltration in osteosarcomaSemantic proximity Read ↗

Development of a Risk Model and Genotyping Patterns Based on Disulfidptosis-Related lncRNAs to Predict Prognosis and Immune Landscape in Osteosarcoma.Semantic proximity Read ↗

Development of a novel immune-related genes prognostic signature for osteosarcomaSemantic proximity Read ↗

Classification of Osteosarcoma Based on Immunogenomic ProfilingSemantic proximity Read ↗

Tumor microenvironment phenotypes and prognostic evaluation tools for osteosarcoma characterized by different prognostic outcomes and immunotherapy responses.Semantic proximity Read ↗

Signature based on immune-related LncRNA can predict overall survival of osteosarcoma patientsSemantic proximity Read ↗

Identification of Metastasis-Related Signature For Predicting Survival In OsteosarcomaSemantic proximity Read ↗

A Five-Immune-Related lncRNA Signature Predicts Survival of Patients With OsteosarcomaSemantic proximity Read ↗

Identification and Verification of Immune-Related Gene Prognostic Signature Based on ssGSEA for OsteosarcomaSemantic proximity Read ↗

A tumor microenvironment-based prognostic index for osteosarcomaSemantic proximity Read ↗

A novel molecular signature for predicting prognosis and immunotherapy response in osteosarcoma based on tumor-infiltrating cell marker genesSemantic proximity Read ↗

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