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Patient-derived tumor xenograft models (PDXs) for ovarian cancer are suitable for future epigenetic methylome-based cancer research

Ovarian cancer is the most lethal gynecologic malignancy. After (epi)genomic analysis of patient tumors, aberrant DNA methylation patterns are universally observed in the most abundant histological subtype of ovarian cancer, high-grade serous ovarian cancer (HGSOC)

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Patient-derived tumour xenograft models for ovarian cancer are suitable for future epigenetic methylome-based cancer research

Ovarian cancer is the most lethal gynecologic malignancy. After (epi)genomic analysis of patient tumours, aberrant DNA methylation patterns are universally observed in the most abundant histological subtype of ovarian cancer, high-grade serous ovarian cancer (HGSOC). These epigenetic modifications like DNA methylation are known to frequently affect gene regulation involved in cancer-related processes

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Epigenetic Predictors of Ovarian Cancer

Ovarian cancer is the most lethal gynecological malignancy., the seventh most common cancer in women and the 18th most common cancer overall, with over 200,000 new cases worldwide each year. Using epigenomic analysis of patient tumors we have found common DNA methylation patterns in the most common subtype of ovarian cancer, high-grade serous ovarian cancer (HGSOC)., which has the highest mortality rate. The mortality rate is high because patients are generally diagnosed in an already advanced stage

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A Better Model System for Ovarian Cancer: Patient-derived tumor xenografts (PDXs) are suitable for epigenetic methylome-based cancer research

Ovarian cancer is the most lethal gynecologic malignancy. After epigenomic analysis of patient tumors, aberrant DNA methylation patterns are universally observed in the most abundant histological subtype of ovarian cancer, high-grade serous ovarian cancer (HGSOC)...

Read more