Novel insights into triple-negative breast cancer heterogeneity, prognosis, and treatment response based on matrix stiffness: a combined single-Cell and transcriptome analysis - Takeaways - MDSpire

Novel insights into triple-negative breast cancer heterogeneity, prognosis, and treatment response based on matrix stiffness: a combined single-Cell and transcriptome analysis

  • By

  • Wenjie Shi

  • Haofeng Wang

  • Yingxin Guan

  • Yingzi Zhou

  • Jing Cui

  • Xiaojie Wang

  • Jinling Yu

  • May 7, 2026

  • 0 min

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  • 1

    Matrix stiffness (MS) significantly influences the heterogeneity and treatment response of triple-negative breast cancer (TNBC).

  • 2

    A prognostic model based on MS-related genes effectively predicts survival risk in TNBC patients across multiple cohorts.

  • 3

    The study identified that a high MS score correlates with immunotherapy resistance and reduced chemotherapy sensitivity in TNBC.

  • 4

    Single-cell RNA sequencing revealed unique functional states in malignant epithelial cells associated with high MS scores.

  • 5

    The findings provide new insights for prognostic assessment and precision treatment strategies for TNBC.

Original Source(s)

Novel insights into triple-negative breast cancer heterogeneity, prognosis, and treatment response based on matrix stiffness: a combined single-Cell and transcriptome analysis

  • by Wenjie Shi, Haofeng Wang, Yingxin Guan, Yingzi Zhou, Jing Cui, Xiaojie Wang, Jinling Yu

  • May 7, 2026

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