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

At a Glance

CategoryDetail
Condition
Key MechanismsTumor cell heterogeneity, TMSB10 gene influence, metabolic reprogramming (specify OXPHOS/glycolysis).
Target Population
Care Setting

Key Highlights

  • C1 cluster predicts superior response to immune checkpoint blockade therapy (clarify mechanism).

Guideline-Based Recommendations

Diagnosis

    Management

      Monitoring & Follow-up

      • Monitor C1 cluster abundance using specific imaging or biomarker metrics.

      Risks

        Patient & Prescribing Data

        Detail how C1 cluster abundance may guide specific immunotherapy options.

        Clinical Best Practices

        • Integrate machine learning with multi-omics data for precision oncology (provide examples).

        References

        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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