Multi-Omics and Radiomics Approaches Uncover a TMSB10-Influenced Cell State for Non-Invasive Evaluation and Precision Classification in Breast Cancer - Report - MDSpire

Multi-Omics and Radiomics Approaches Uncover a TMSB10-Influenced Cell State for Non-Invasive Evaluation and Precision Classification in Breast Cancer

  • By

  • Gui-Xin Wang

  • Jun-Ming Cao

  • Cheng-Lu Lu

  • Yun-Lin Wang

  • Zi-Yi Chen

  • Chang-Qing Yang

  • Shuo Wang

  • Zhang-Yin Guo

  • Yue Yu

  • Shan Cheng

  • Xin Wang

  • April 20, 2026

  • 0 min

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Clinical Report: Multi-Omics and Radiomics Approaches in Breast Cancer

Overview

Revise to specify TMSB10's role in tumor biology and its potential as a therapeutic target.

Background

Breast cancer remains the most common malignancy among women and is a leading cause of cancer-related mortality. Tumor heterogeneity significantly complicates treatment responses and outcomes, necessitating the development of novel biomarkers for improved patient management. Understanding the specific characteristics of tumor cell clusters is essential for advancing precision oncology and tailoring treatment strategies.

Data Highlights

No numerical data presented in the article.

Key Findings

Rephrase to emphasize the implications of findings on tumor heterogeneity and treatment responses.

Clinical Implications

The identification of the C1 cluster and its association with immunotherapy response highlights the potential for personalized treatment strategies in breast cancer. Clinicians may consider integrating multi-omics and radiomics approaches to enhance patient stratification and treatment planning.

Conclusion

Strengthen the conclusion by emphasizing the clinical relevance of TMSB10 and its potential as a target for therapy.

References

  1. Kvaratskhelia D, Melkadze T, ASCO AI in Oncology, 2026 -- Transcriptomic Classifier for Predicting Neoadjuvant Immunotherapy Response in Triple-Negative Breast Cancer
  2. European Radiology, 2024 -- Enhanced Preoperative Distinction Between Glioblastoma and Solitary Brain Metastasis Using Multiparametric Neurite Orientation Dispersion and Density Imaging Radiomics
  3. The New Gastroenterologist, 2025 -- Insights into Colorectal Cancer Prognosis Through Computational Pathology Analysis
  4. College of American Pathologists, 2023 -- HER2 Testing in Breast Cancer
  5. MRI Radiomic Features as Predictors of Peritumoral Brain Edema Resolution After Meningioma Resection
  6. HER2 Testing in Breast Cancer -… | College of American Pathologists
  7. NDA/BLA Multi-Disciplinary Review and Evaluation
  8. When to perform NGS test in patients with cancer?

Original Source(s)

Multi-Omics and Radiomics Approaches Uncover a TMSB10-Influenced Cell State for Non-Invasive Evaluation and Precision Classification in Breast Cancer

  • by Gui-Xin Wang, Jun-Ming Cao, Cheng-Lu Lu, Yun-Lin Wang, Zi-Yi Chen, Chang-Qing Yang, Shuo Wang, Zhang-Yin Guo, Yue Yu, Shan Cheng, Xin Wang

  • April 20, 2026

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