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September 10, 2025Frontiers in OncologyOpen Access

Identification and comprehensive analysis of an immune-related gene prognostic model for indicating tumor immune microenvironment features in soft tissue sarcoma

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Authors

SXShutao XuYLYuqiang LiuQCQian Cai

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Overview

Analysis reveals an immune-related gene prognostic model for soft tissue sarcoma patients, indicating tumor microenvironment features.

Key Points

  • The prognostic model identified 8 immune-related genes to predict soft tissue sarcoma prognosis.
  • Utilizing LASSO regression, the study established risk categories that differentiate between high-risk and low-risk STS patients.
  • Differential expression and tumor microenvironment analysis were conducted using RNA-seq data from TCGA-STS and GTEx databases.
  • CALR, an important gene in STS, was demonstrated to have oncogenic properties through various assays.

Cite This Study

Xu et al. (2025) studied this question.

synapsesocial.com/papers/68c23bd7b210217d64787442https://doi.org/10.3389/fonc.2025.1609501
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Also Consider

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  1. 1Construction of a glycosylation-related prognostic signature for predicting prognosis, tumor microenvironment, and immune response in soft tissue sarcoma2025
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  3. 3Transcriptomic-Based Classification Identifies Prognostic Subtypes and Therapeutic Strategies in Soft Tissue Sarcomas2025
  4. 4Integrated single-cell and bulk RNA-seq analysis reveals prognostic stemness genes in leiomyosarcoma2025
  5. 5The construction of a prognostic nomogram model for colorectal cancer and the prediction of immune characteristics and immune treatment responses based on the bioinformatics analysis of soluble mediator-related genes.2025