Project description:Genome-wide copy number variation was measured in TP53 mutation negative ovarian tumours. Analysis described in "Driver mutations in TP53 are ubiquitous in high grade serous carcinoma of the ovary" (Ahmed et al., 2010)
Project description:Genome-wide copy number variation was measured in primary tumours of the ovary, Fallopian tube and peritoneum. A well-defined subset of advanced-stage serous tumors was then used to relate CNV to primary resistance to treatment. Analysis is described in: Etemadmoghadam, D., et al. (2009). "Integrated genome-wide DNA copy number and expression analysis identifies distinct mechanisms of primary chemoresistance in ovarian carcinomas." Clin Cancer Res 15(4): 1417-27.
Project description:Genome-wide copy number variation was measured in primary tumours of the ovary, Fallopian tube and peritoneum. A well-defined subset of advanced-stage serous tumors was then used to relate CNV to primary resistance to treatment. Analysis is described in "Integrated Genome-wide DNA Copy Number and Expression Analysis Identifies Distinct Mechanisms of Primary Chemo-resistance in Ovarian Carcinomas", Etemadmoghadam et al. In press, Clinical Cancer Research. Experiment Overall Design: 118 needle-dissected or whole tumours (>80% tumour content) were analysed.
Project description:Human fallopian tube epithelial organoids with TP53 mutation recapitulate features of serous tubal intraepithelial carcinoma (STIC) Judith Kraiczy, Bo Yu Gynecologic Oncology, Volume 203, 2025, Pages 198-208, ISSN 0090-8258, https://doi.org/10.1016/j.ygyno.2025.10.038. ABSTRACT Objective Serous tubal intraepithelial carcinoma (STIC) is the immediate precursor lesion for high-grade serous ovarian carcinoma (HGSOC) and harbors universal TP53 mutations. The lack of an appropriate in vitro model for STIC presents a major challenge in studying its pathogenesis. We aimed to develop a human in vitro model that mimics STIC lesions. Methods Using CRISPR-Cas9 gene editing, we generated human fallopian tube epithelial organoids with TP53 loss-of-function mutations (TP53-/- FTOs). We characterized TP53-/- FTOs on a cellular and molecular level using immunofluorescence confocal imaging, copy number variation (CNV) analysis, and RNA sequencing. Results TP53-/- FTOs recapitulated key features of STIC lesions. They exhibited increased proliferation and nuclear abnormalities, including nuclear enlargement and atypical mitotic figures. Copy number variation analysis revealed aneuploidy in some TP53-/- FTOs. Compared to unedited controls, TP53-/- FTOs demonstrated significant transcriptomic changes, including the downregulation of DNA repair genes and upregulation of epithelial-mesenchymal transition (EMT) pathways. Similar to STIC lesions, TP53-/- FTOs showed a marked reduction in ciliated cells and ciliogenesis-associated gene expression. Conclusions These findings suggest that p53 loss in FTOs promotes a proliferative and genomically unstable state that is conducive to carcinogenesis. The TP53-/- FTO model we have generated provides a valuable tool for studying early events in ovarian carcinogenesis and for developing new strategies for the early detection and prevention of ovarian cancer.
Project description:Human fallopian tube epithelial organoids with TP53 mutation recapitulate features of serous tubal intraepithelial carcinoma (STIC), Judith Kraiczy, Bo Yu, Gynecologic Oncology, Volume 203,2025, Pages 198-208, ISSN 0090-8258, https://doi.org/10.1016/j.ygyno.2025.10.038. SUMMARY Objective Serous tubal intraepithelial carcinoma (STIC) is the immediate precursor lesion for high-grade serous ovarian carcinoma (HGSOC) and harbors universal TP53 mutations. The lack of an appropriate in vitro model for STIC presents a major challenge in studying its pathogenesis. We aimed to develop a human in vitro model that mimics STIC lesions. Methods Using CRISPR-Cas9 gene editing, we generated human fallopian tube epithelial organoids with TP53 loss-of-function mutations (TP53-/- FTOs). We characterized TP53-/- FTOs on a cellular and molecular level using immunofluorescence confocal imaging, copy number variation (CNV) analysis, and RNA sequencing. TP53-/- FTOs recapitulated key features of STIC lesions. They exhibited increased proliferation and nuclear abnormalities, including nuclear enlargement and atypical mitotic figures. Copy number variation analysis revealed aneuploidy in some TP53-/- FTOs. Compared to unedited controls, TP53-/- FTOs demonstrated significant transcriptomic changes, including the downregulation of DNA repair genes and upregulation of epithelial-mesenchymal transition (EMT) pathways. Similar to STIC lesions, TP53-/- FTOs showed a marked reduction in ciliated cells and ciliogenesis-associated gene expression. Conclusions These findings suggest that p53 loss in FTOs promotes a proliferative and genomically unstable state that is conducive to carcinogenesis. The TP53-/- FTO model we have generated provides a valuable tool for studying early events in ovarian carcinogenesis and for developing new strategies for the early detection and prevention of ovarian cancer.
Project description:The presence of diffuse anaplasia in Wilms tumours (DAWT) is associated with TP53 mutations and poor outcome. As patients receive intensified treatment, we sought to identify whether TP53 mutational status confers additional prognostic information. We studied 40 patients with DAWT with anaplasia in the tissue from which DNA was extracted and analysed for TP53 mutations and 17p loss. The majority of cases were profiled by copy number (n=32) and gene expression (n=36) arrays. TP53 mutational status was correlated with patient event-free and overall survival, genomic copy number instability and gene expression profiling. From the 40 cases, 22 (55%) had TP53 mutations (2 detected only after deep-sequencing), 20 of which also had 17p loss (91%); 18 (45%) cases had no detectable mutation but three had 17p loss. Tumours with TP53 mutations and/or 17p loss (n=25) had an increased risk of recurrence as a first event (p=0.03, hazard ratio (HR), 3.89; 95% confidence interval (CI), 1.26-16.0) and death (p=0.04, HR, 4.95; 95% CI, 1.36-31.7) compared to tumours lacking TP53 abnormalities. DAWT carrying TP53 mutations showed increased copy number alterations compared to those with wild-type, suggesting a more unstable genome (p=0.03). These tumours showed deregulation of genes associated with cell cycle and DNA repair biological processes. This study provides evidence that TP53 mutational analysis improves risk stratification in DAWT. This requires validation in an independent cohort before clinical use as a biomarker.
Project description:The presence of diffuse anaplasia in Wilms tumours (DAWT) is associated with TP53 mutations and poor outcome. As patients receive intensified treatment, we sought to identify whether TP53 mutational status confers additional prognostic information. We studied 40 patients with DAWT with anaplasia in the tissue from which DNA was extracted and analysed for TP53 mutations and 17p loss. The majority of cases were profiled by copy number (n=32) and gene expression (n=36) arrays. TP53 mutational status was correlated with patient event-free and overall survival, genomic copy number instability and gene expression profiling. From the 40 cases, 22 (55%) had TP53 mutations (2 detected only after deep-sequencing), 20 of which also had 17p loss (91%); 18 (45%) cases had no detectable mutation but three had 17p loss. Tumours with TP53 mutations and/or 17p loss (n=25) had an increased risk of recurrence as a first event (p=0.03, hazard ratio (HR), 3.89; 95% confidence interval (CI), 1.26-16.0) and death (p=0.04, HR, 4.95; 95% CI, 1.36-31.7) compared to tumours lacking TP53 abnormalities. DAWT carrying TP53 mutations showed increased copy number alterations compared to those with wild-type, suggesting a more unstable genome (p=0.03). These tumours showed deregulation of genes associated with cell cycle and DNA repair biological processes. This study provides evidence that TP53 mutational analysis improves risk stratification in DAWT. This requires validation in an independent cohort before clinical use as a biomarker.