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

Identification of Mitochondrial-related Characteristic Biomarkers inOsteosarcoma using Bioinformatics and Machine Learning

25 Feb 2025

Abstract excerpt

Background/Aims: Osteosarcoma (OS), a malignant tumor originating in bone or cartilage, primarily affects children and adolescents. Notably, substantial alterations in mitochondrial energy metabolism have been observed in OS; however, the specific contribution of mitochondrial- related genes (MRGs) to OS pathogenesis and prognosis remains unclear. Herein, we identified novel diagnostic biomarkers associated with...

Read the complete abstract on PubMed

Topics

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

Share to Cancer, Hypoxia, and Metabolism
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: 40012292
DOI: 10.2174/0113862073350964241203080017

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

Identification of Mitochondrial-related Characteristic Biomarkers inOsteosarcoma using Bioinformatics and Machine LearningPMID 40012292Read ↗

Identification of a novel mitophagy-related signature for predicting clinical prognosis and immunotherapy of osteosarcomaSemantic proximity Read ↗

Construction and validation of a novel cuproptosis-mitochondrion prognostic model related with tumor immunity in osteosarcomaSemantic proximity Read ↗

A novel prognostic signature related to programmed cell death in osteosarcomaSemantic proximity Read ↗

A diagnostic signature developed based on the necroptosis-related genes and its association with immune infiltration in osteosarcomaSemantic proximity Read ↗

Multi-omics analysis reveals cuproptosis and mitochondria-based signature for assessing prognosis and immune landscape in osteosarcomaSemantic proximity Read ↗

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

Identification of amino acid metabolism-based molecular subtypes and prognostic signature to predict immune landscape and guide clinical drug treatment in osteosarcomaSemantic proximity Read ↗

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

Integrative Analysis of Necroptosis-Related Signature for Predicting the Prognosis of OsteosarcomaSemantic proximity Read ↗

Construction and validation of a novel gene signature for predicting the prognosis of osteosarcomaSemantic proximity Read ↗

Comprehensive investigation of tumor immune microenvironment and prognostic biomarkers in osteosarcoma through integrated bulk and single-cell transcriptomic analysisSemantic proximity Read ↗

Machine learning and experimental validation to construct a metastasis-related gene signature and ceRNA network for predicting osteosarcoma prognosisSemantic proximity Read ↗

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