Multi-Omics and Radiomics Approaches Uncover a TMSB10-Influenced Cell State for Non-Invasive Evaluation and Precision Classification in Breast Cancer - Takeaways - 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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  • 1

    Tumor cell heterogeneity significantly contributes to breast cancer aggressiveness, affecting recurrence, metastasis, and therapy resistance.

  • 2

    The study identified a poor-prognosis tumor cell cluster (C1) linked to metabolic reprogramming and crosstalk with fibroblasts and endothelial cells.

  • 3

    High abundance of the C1 cluster correlates with poor survival and specific somatic mutations, predicting response to immune checkpoint blockade.

  • 4

    A non-invasive MRI radiomic model was developed to estimate C1 cluster abundance, enhancing prognostic stratification in breast cancer.

  • 5

    TMSB10 was validated as a functional effector of the C1 cluster, offering a new tool for non-invasive detection and individualized treatment.

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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