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

Predictive and prognostic transcriptomic biomarkers in soft tissue sarcomas

5 Mar 2021

Abstract excerpt

Soft tissue sarcomas (STS) are rare and heterogeneous tumours comprising over 80 different histological subtypes. Treatment options remain limited in advanced STS with high rates of recurrence following resection of localised disease. Prognostication in clinical practice relies predominantly on histological grading systems as well as sarcoma nomograms. Rapid developments in gene expression profiling technologies...

Topics

Join the communities discussing this publication.

Cardiac tumors and thrombi
Sarcoma Diagnosis and Treatment
Vascular Tumors and Angiosarcomas

Source

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Identifiers

PMID: 33674685
DOI: 10.1038/s41698-021-00157-4

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 1 Sept 2026.

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

Predictive and prognostic transcriptomic biomarkers in soft tissue sarcomasPMID 33674685Read ↗

Transcriptomic-Based Classification Identifies Prognostic Subtypes and Therapeutic Strategies in Soft Tissue SarcomasSemantic proximity Read ↗

Diagnostic and prognostic gene expression signatures in 177 soft tissue sarcomas: hypoxia-induced transcription profile signifies metastatic potentialSemantic proximity Read ↗

Gene expression profiling for the investigation of soft tissue sarcoma pathogenesis and the identification of diagnostic, prognostic, and predictive biomarkersSemantic proximity Read ↗

Machine learning-based analysis of genomic and transcriptomic data unveils sarcoma clusters with superlative prognostic and predictive valueSemantic proximity Read ↗

Risk score based on expression of five novel genes predicts survival in soft tissue sarcomaSemantic proximity Read ↗

Identification of a survival-related signature for sarcoma patients through integrated transcriptomic and proteomic profiling analysesSemantic proximity Read ↗

Comprehensive and Integrated Genomic Characterization of Adult Soft Tissue Sarcomas.Semantic proximity Read ↗

Advances in sarcoma genomics and new therapeutic targets.Semantic proximity Read ↗

Integrated molecular characterization of adult soft tissue sarcoma for therapeutic targetsSemantic proximity Read ↗

Validation of a hypoxia related gene signature in multiple soft tissue sarcoma cohortsSemantic proximity Read ↗

New Strategies in Sarcoma: Linking Genomic and Immunotherapy Approaches to Molecular SubtypeSemantic proximity Read ↗

Machine learning analysis of gene expression data reveals novel diagnostic and prognostic biomarkers and identifies therapeutic targets for soft tissue sarcomasSemantic proximity Read ↗

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