Project description:Heredity is a major cause of ovarian cancer. Lynch syndrome is associated with 10-12% risk of ovarian cancer, diagnosis at young age and a predilection for endometrioid and clear cell tumors. Global gene expression profiling applied to 25 Lynch syndrome-associated and 42 sporadic ovarian cancers revealed 335 differentially expressed genes and involvement of the mTOR and the MAPK/ERK pathways. The clear cell tumors had distinct expression profiles with upregulation of HER2 and apoptosis signaling pathways. The distinct expression profiles provide clues relevant for hereditary tumorigenesis and may be relevant for therapeutic strategies and refined diagnostics in ovarian cancer linked to Lynch syndrome. Ovarian cancers linked to Lynch syndrome (n=25) were compared to a matched series of sporadic ovarian cancers (n=42), selected from a population-based consecutive series in which hereditary was excluded based on family history, normal MMR protein staining and lack of mutations in BRCA1 and BRCA2.
Project description:To identify the gene signature accounting for the distinct clinical outcomes in ovarian clear cell cancer patients Clear cell ovarian cancer is an epithelial ovarian cancer histotype that is less responsive to chemotherapy and carries poorer prognosis than serous and endometrioid histotypes. Despite this, patients with these tumors are treated in a similar fashion as all other ovarian cancers. Previous genomic analysis has suggested that clear cell cancers represent a unique tumor subtype. Here we generated the first whole genomic expression profiling using epithelial component of clear cell ovarian cancers and normal ovarian surface specimens isolated by laser capture microdissection. Arrays analyzed using BRB ArrayTools and PathwayStudio software was used to identify the signaling pathways. Gene expression profiling was completed for 10 clear cell ovarian cancer specimens and 10 normal ovarian surface epithelium using the Affymetrix human U133 Plus 2.0 Arrays
Project description:To identify the gene signature accounting for the distinct clinical outcomes in ovarian clear cell cancer patients Clear cell ovarian cancer is an epithelial ovarian cancer histotype that is less responsive to chemotherapy and carries poorer prognosis than serous and endometrioid histotypes. Despite this, patients with these tumors are treated in a similar fashion as all other ovarian cancers. Previous genomic analysis has suggested that clear cell cancers represent a unique tumor subtype. Here we generated the first whole genomic expression profiling using epithelial component of clear cell ovarian cancers and normal ovarian surface specimens isolated by laser capture microdissection. Arrays analyzed using BRB ArrayTools and PathwayStudio software was used to identify the signaling pathways.
Project description:Ovarian cancer has one of the worst prognoses among gynecologic malignancies. About 60% of ovarian cancer cases are diagnosed at Stages III and IV, and their five-year survival rate is less than 30%. Ovarian cancer is classified into four major histological subtypes; serous, clear cell, endometrioid and mucinous. Ovarian clear cell carcinoma (OCCC) is less sensitive to conventional platinum-based chemotherapy and has worse prognosis than other subtypes. In this study, we attempted to identify novel molecular targets critical for the proliferation and tumorigenicity of OCCC using the CRISPR/Cas9 system, and identified some genes as important candidates. Some of these candedates were upregulated in ovarian cancer tissue, especially OCCC. Our results suggest that not only may be these candedates a promising diagnostic maker for OCCC, drugs against these candedates would be useful for the therapeutic treatment of OCCC.
Project description:Heredity is a major cause of ovarian cancer. Lynch syndrome is associated with 10-12% risk of ovarian cancer, diagnosis at young age and a predilection for endometrioid and clear cell tumors. Global gene expression profiling applied to 25 Lynch syndrome-associated and 42 sporadic ovarian cancers revealed 335 differentially expressed genes and involvement of the mTOR and the MAPK/ERK pathways. The clear cell tumors had distinct expression profiles with upregulation of HER2 and apoptosis signaling pathways. The distinct expression profiles provide clues relevant for hereditary tumorigenesis and may be relevant for therapeutic strategies and refined diagnostics in ovarian cancer linked to Lynch syndrome.
Project description:Ovarian clear cell carcinoma (OCCC) is an understudied poor prognosis subtype of ovarian cancer lacking in effective molecularly targeted therapies; efforts to define drivers of OCCC malignancy may lead to new therapeutic targets and approaches. Among potential targets are secreted proteases, enzymes which in many cancers serve as key drivers of malignant progression. To identify proteases responsible for the proteolytic landscape of the tumor microenvironment requires methods that directly report on enzyme activity, as transcript or protein abundance alone are poor indicators of protease activity. Here we developed an activity-based probe featuring an arginine diphenylphosphonate warhead to detect active serine proteases of trypsin-like specificity. A biotin handle was incorporated to facilitate affinity purification of labeled proteases. Using this probe, we employed activity-based protein profiling to identify active trypsin-like serine proteases within the complex proteome secreted by OCCC cell lines. We identified multiple active serine proteases in OCCC cell lines, including two proteases in common, tissue plasminogen activator (tPA) and urokinase-type plasminogen activator (uPA). Further interrogation of these proteases showed that both were involved in cancer cell invasion and proliferation of OCCC cells. The detection of tPA and uPA as catalytically active proteases and significant drivers of the malignant phenotype may point to these enzymes as targets for new therapeutic strategies in OCCC. Our activity-based probe and profiling methodology also offer a valuable tool for detection of active trypsin-like serine proteases in models of other cancers and other diseases.
Project description:To perform genetic and gene expression analyses on mucinous ovarian tumours to determine a progression model, cell of origin and novel therapeutic targets.