We apply our method to telomeres in glioblastoma and prostate cancer samples, and describe how the imaging data can be used to derive statistically reliable information on telomere length distribution or colocalization with PML nuclear bodies.
Loss of PML protein expression was associated with tumor progression in prostate cancer (the progression from prostatic intraepithelial neoplasia to invasive carcinoma was associated with complete PML loss; P<.001), breast cancer (complete PML loss was associated with lymph node metastasis; P =.01), and CNS tumors (complete PML loss was associated with high-grade tumors; P =.003).