Identification of potential vinorelbine-associated prognostic genes in breast cancer through integrative bioinformatics and experimental validation - Takeaways - MDSpire

Identification of potential vinorelbine-associated prognostic genes in breast cancer through integrative bioinformatics and experimental validation

  • By

  • Yi Wu

  • Guimei Yang

  • Yixian Li

  • Yunjing Ruan

  • Qianmei Yang

  • June 26, 2026

  • 0 min

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  • 1

    The study identified eight prognostic genes associated with vinorelbine treatment in breast cancer: TUBA1C, BRCA1, TGFB1, TUBA1B, XRCC1, PTGS2, IL7, and TUBB2B.

  • 2

    A random survival forest model and nomogram demonstrated good predictive accuracy for breast cancer patient prognosis based on identified genes.

  • 3

    Immune microenvironment analysis revealed correlations between risk scores and immune cells, indicating poor prognosis for patients with lower tumor microenvironment scores.

  • 4

    Macrophages were identified as crucial cells in breast cancer development, showing active communication with other cells and differential expression of prognostic genes.

  • 5

    RT-qPCR analysis indicated significantly higher expressions of TGFB1 and BRCA1 in breast cancer samples compared to vinorelbine-treated samples.

Original Source(s)

Identification of potential vinorelbine-associated prognostic genes in breast cancer through integrative bioinformatics and experimental validation

  • by Yi Wu, Guimei Yang, Yixian Li, Yunjing Ruan, Qianmei Yang

  • June 26, 2026

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