Figure 8 from Prostate Cancer Progression Modeling Provides Insight into Dynamic Molecular Changes Associated with Progressive Disease States
<p>Progression modeling analysis performed on an independent prostate cancer dataset and validation of the constructed model. <b>A,</b> Visualization analysis showed the tumor sample distribution in the space spanned by the two leading components (denoted as DDRTree 1–2) generated...
محفوظ في:
| المؤلف الرئيسي: | |
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| مؤلفون آخرون: | , , , , |
| منشور في: |
2024
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| الموضوعات: | |
| الوسوم: |
إضافة وسم
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| الملخص: | <p>Progression modeling analysis performed on an independent prostate cancer dataset and validation of the constructed model. <b>A,</b> Visualization analysis showed the tumor sample distribution in the space spanned by the two leading components (denoted as DDRTree 1–2) generated using the DDRTree algorithm. The black line represents the constructed principal tree. Each tumor sample was color-coded by its <i>ERG</i> fusion status inferred by the <i>ERG</i> gene expression level. Three progression paths were identified, referred to as paths A, C, and D, respectively. <b>B,</b> Tumor samples were color-coded by seven progression states identified in the TCGA model. <b>C</b> and <b>D,</b> Enrichment analysis of GS and metastatic status of tumor samples mapped onto the three progression paths identified in the constructed model. The <i>x</i>-axis represents the progression distances of tumor samples, and <i>P</i> values were calculated through 10,000 permutation tests.</p> |
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