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Related Experiment Video

Updated: Jan 18, 2026

Induction of Mesenchymal-Epithelial Transitions in Sarcoma Cells
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Transcriptomic-Based Classification Identifies Prognostic Subtypes and Therapeutic Strategies in Soft Tissue

Miguel Esperança-Martins1,2,3, Hugo Vasques3,4, Manuel Sokolov Ravasqueira5,6

  • 1Medical Oncology Department, Unidade Local de Saúde de Santa Maria, 1649-028 Lisboa, Portugal.

Cancers
|September 13, 2025
PubMed
Summary

A new transcriptomic subtype classification for soft tissue sarcomas (STSs) improves prognosis prediction and identifies novel molecular targets for precision treatment, outperforming current methods.

Keywords:
CINSARCDNA-seqRNA-seqSARCULATORconsensus clusteringprecision treatmentprognosissoft tissue sarcomastherapeutic targetsunsupervised machine learning

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Area of Science:

  • Oncology
  • Genomics
  • Bioinformatics

Background:

  • Current soft tissue sarcoma (STS) classification and prognostication tools have limitations.
  • Molecular profiling offers potential for improved accuracy and personalized treatment.

Purpose of the Study:

  • To develop a novel molecular-based classification for high-grade STS.
  • To identify new molecular targets for precision medicine in STS.

Main Methods:

  • DNA sequencing (DNA-seq) and RNA sequencing (RNA-seq) on 102 high-grade STS samples.
  • Unsupervised machine learning for transcriptomic subtype identification.
  • External validation using independent patient cohorts.

Main Results:

  • Identified four transcriptomic subtypes (TCs) with significant prognostic value for overall survival (OS) and disease-free survival (DFS).
  • TC-based classification demonstrated superior prognostic accuracy compared to SARCULATOR and CINSARC.
  • Discovered novel molecular targets for precision treatment across TCs.

Conclusions:

  • The novel TC-based classification provides superior prognostication for STS.
  • This classification aids in identifying precision treatment targets.
  • Represents a significant advancement in STS prognostication and treatment guidance.