Similar Datasets
Project description:High grade serous ovarian cancers (HGSC) are deadly malignancies that relapse despite carboplatin chemotherapy. Many commercially ovarian cancer cell lines are not good models for HGSC. Here we demonstrate that 3 low passage cell lines derived from HGSC have similar transcriptomes to their parental bulk tumors. These cell lines recapitulated tumor characteristics of the primary cancer and had responded to therapy in the same manner as primary HGSC cells, demonstrating they are accurate models for HGSCs. mRNA profiles of low passage high grade serous tumor cell lines and their parental tumors, generated by next generation sequencing, were compared.
2015-08-01 | E-GEOD-70073 | biostudies-arrayexpress
Project description:Recent evidence suggests that ovarian high-grade serous carcinoma (HGSC) originates from the epithelium of the fallopian tube. However, most mouse models are based on the previous prevailing view that ovarian cancer develops from the transformation of the ovarian surface epithelium. Here, we report the extensive histological and molecular characterization of the mogp-TAg transgenic mouse, which expresses the SV40 large T-antigen (TAg) under the control of the mouse müllerian-specific Ovgp-1 promoter. Histologic analysis of the fallopian tubes of mogp-TAg mice identified a variety of neoplastic lesions analogous to those described as precursors to ovarian HGSC. We identified areas of normal appearing p53-positive epithelium that are similar to “p53 signatures” in the human fallopian tube. More advanced proliferative lesions with nuclear atypia and epithelial stratification were also identified that were morphologically and immunohistochemically reminiscent of human serous tubal intraepithelial carcinoma (STIC), a potential precursor of ovarian HGSC. Beside these noninvasive precursor lesions, we also identified invasive adenocarcinoma in the ovary of 56% of the mice. Microarray analysis revealed several genes differentially expressed between the fallopian tube of mogp-TAg and WT C57BL/6. One of these genes, Top2a, which encodes topoisomerase II-alpha, was shown by immunohistochemistry to be concurrently expressed with elevated p53 and specifically elevated in mouse STICs, but not in surrounding tissues. TOP2A protein was also found elevated in human STICs, low-grade, and high-grade serous carcinoma. The mouse model reported here displays a progression from normal tubal epithelium to invasive HGSC in the ovary, and therefore closely simulates the current emerging model of human ovarian HGSC pathogenesis. This mouse therefore has the potential to be a very useful new model for elucidating the mechanisms of serous ovarian tumorigenesis, as well as for developing novel approaches for the prevention, diagnosis, and therapy of this disease. Keywords: transgenic mouse model, ovarian cancer, fallopian tube, intraepithelial carcinoma 6 mouse fallopian tubes (FT) were analyzed with experimental repeats; 3 wildtype C57BL6 mice (FT) and 3 transgenic mogp-TAg (FT), with one set of each at 7, 8 and 9 weeks of age.
2014-04-11 | E-GEOD-52011 | biostudies-arrayexpress
Project description:Ovarian cancer is one of the leading causes of death among patients with gynecological malignancies worldwide. To identify prognostic markers for ovarian cancer, we performed RNA-sequencing and analyzed the transcriptome data from 51 patients who received conventional therapies for high-grade serous ovarian carcinoma (HGSC). Patients with early-stage (I or II) HGSC exhibited higher immune gene expression than patients with advanced stage (III or IV) HGSC. To predict the prognosis of HGSC patients, we created machine learning-based models and identified RPL23 and USP19 as candidate prognostic markers. Specifically, patients with higher RPL23 mRNA levels had a worse prognosis and patients with higher USP19 mRNA levels had a better prognosis. This model was then used to analyze HGSC patient data hosted on The Cancer Genome Atlas; this exercise validated the prognostic abilities of these two genes with respect to patient survival. Taken together, the transcriptome profiles of RPL23 and USP19 determined using a machine-learning model could serve as prognostic markers in HGSC patients receiving conventional therapy.
2021-08-09 | GSE165808 | GEO
Project description:Ovarian high-grade serous carcinoma (HGSC) accounts for the majority of deaths caused by epithelial ovarian cancer. The precise molecular changes attributable for the pathogenesis of HGSC are still largely unknown. TRAF4 has been identified to be up-regulated in some cancers. However, the association between TRAF4 and the malignancy of HGSC has not been elucidated before. In this study, we aim to explore the prognostic value and function of TRAF4 in HGSC. The results of immunohistochemistry in 174 cases of HGSC showed that high expression of TRAF4 was significantly associated with a shorter overall survival (p=0.005) and recurrence-free survival (p=0.003) in HGSC. Knock-down of TRAF4 inhibited the malignancy of ovarian cancer cells, and over-expression of TRAF4 increased cell malignancy both in vitro and in vivo. Moreover, mechanism studies demonstrated that TRAF4 promoted cell malignancy by activating YAP pathway in HGSC. In conclusion, TRAF4 could be a prognostic biomarker for HGSC and increase HGSC cell malignancy by activating YAP pathway, which may serve as a potential therapeutic target for HGSC.
2022-05-15 | GSE202840 | GEO
Project description:Biomarkers in older ovarian cancer patients
| PRJNA521520 | ENA
Project description:Purpose: One of the goals of this study is to compare the transcriptome profiles of tumors from mice inoculated with specific engineered fallopian tube cells of high-grade serous tubo-ovarian cancer (HGSC) models (this study) using scRNA sequencing Methods: Tumors from mice inoculated with specific engineered fallopian tube cells of high-grade serous tubo-ovarian cancer (HGSC) models were compared using scRNA sequencing. Conclusions: We conclude that scRNA-seq based transcriptome characterization would expedite genetic network analyses and permit the dissection of complex biological functions.
2020-11-17 | GSE158886 | GEO
Project description:Recent evidence suggests that ovarian high-grade serous carcinoma (HGSC) originates from the epithelium of the fallopian tube. However, most mouse models are based on the previous prevailing view that ovarian cancer develops from the transformation of the ovarian surface epithelium. Here, we report the extensive histological and molecular characterization of the mogp-TAg transgenic mouse, which expresses the SV40 large T-antigen (TAg) under the control of the mouse müllerian-specific Ovgp-1 promoter. Histologic analysis of the fallopian tubes of mogp-TAg mice identified a variety of neoplastic lesions analogous to those described as precursors to ovarian HGSC. We identified areas of normal appearing p53-positive epithelium that are similar to “p53 signatures” in the human fallopian tube. More advanced proliferative lesions with nuclear atypia and epithelial stratification were also identified that were morphologically and immunohistochemically reminiscent of human serous tubal intraepithelial carcinoma (STIC), a potential precursor of ovarian HGSC. Beside these noninvasive precursor lesions, we also identified invasive adenocarcinoma in the ovary of 56% of the mice. Microarray analysis revealed several genes differentially expressed between the fallopian tube of mogp-TAg and WT C57BL/6. One of these genes, Top2a, which encodes topoisomerase II-alpha, was shown by immunohistochemistry to be concurrently expressed with elevated p53 and specifically elevated in mouse STICs, but not in surrounding tissues. TOP2A protein was also found elevated in human STICs, low-grade, and high-grade serous carcinoma. The mouse model reported here displays a progression from normal tubal epithelium to invasive HGSC in the ovary, and therefore closely simulates the current emerging model of human ovarian HGSC pathogenesis. This mouse therefore has the potential to be a very useful new model for elucidating the mechanisms of serous ovarian tumorigenesis, as well as for developing novel approaches for the prevention, diagnosis, and therapy of this disease. Keywords: transgenic mouse model, ovarian cancer, fallopian tube, intraepithelial carcinoma
2014-04-11 | GSE52011 | GEO
Project description:To characterize the spatial tumor microenvironment (TME) of high-grade serous ovarian cancer (HGSC) at the single cell level, we performed single-cell RNA sequencing (scRNA-seq) on 48 tumor or ascites samples from 29 HGSC patients. This data set includes paired scRNA-seq data from chemo-naive and post-neoadjuvant chemotherapy (IDS) samples of 22 HGSC patients.
2024-10-08 | GSE266577 | GEO
Project description:Purpose: One of the goals of this study is to compare the transcriptome profiles of tumors from mice inoculated with specific engineered fallopian tube cells of high-grade serous tubo-ovarian cancer (HGSC) models (this study) using next-generation sequencing (NGS)-derived RNA-seq. Methods: Tumors from mice inoculated with specific engineered fallopian tube cells of high-grade serous tubo-ovarian cancer (HGSC) models were compared using RNA sequencing. Conclusions: We conclude that RNA-seq based transcriptome characterization would expedite genetic network analyses and permit the dissection of complex biological functions.
2020-11-17 | GSE158476 | GEO
Project description:The high degree of genetic aberrations characteristic of high-grade serous ovarian cancer (HGSC) makes identification of the molecular features that drive tumor progression difficult. Here, we perform genome-wide RNAi screens and comprehensive expression analysis of cell surface markers in a panel of HGSC cell lines to identify genes that are critical to their survival. We report that the tetraspanin CD151 contributes to survival of a subset of HGSC cell lines associated with a ZEB transcriptional program and supports the growth of HGSC tumors. Moreover, we show that high CD151 expression is prognostic of poor clinical outcome. This study reveals cell-surface vulnerabilities associated with HGSC, provides a framework for identifying therapeutic targets, and reports a role for CD151 in HGSC.
2017-02-03 | GSE94304 | GEO