Project description:In order to check if there is a correlation between centrosome alterations and DNA breakpoints or homologous recombination defects (HRD) assesssed by LST genomic signatures, we used Affimetrix cytoscan array and GAP tool as previously described in Goundiam et al, IJC 2015 (PMID:25892415 DOI:10.1002/ijc.29568 ) 67 high grade serous ovarian cancers
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: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:Schaner M., et al.; Mol Biol Cell. 2003 Nov;14(11):4376-86. Figure 1 Unsupervised hierarchical clustering of ovarian cell lines and ovarian cancers. Cell lines were not co-clustered with the tumor specimens, because these cell lines have a very prominent proliferation cluster (Perou et al., 1999; Ross et al., 2000) that significantly influences the clustering of the tumor samples if the two sample sets are not analyzed separately. Set of arrays organized by shared biological context, such as organism, tumors types, processes, etc. Computed
Project description:Schaner M., et al.; Mol Biol Cell. 2003 Nov;14(11):4376-86. Figure 1 Unsupervised hierarchical clustering of ovarian cell lines and ovarian cancers. Cell lines were not co-clustered with the tumor specimens, because these cell lines have a very prominent proliferation cluster (Perou et al., 1999; Ross et al., 2000) that significantly influences the clustering of the tumor samples if the two sample sets are not analyzed separately. Set of arrays organized by shared biological context, such as organism, tumors types, processes, etc. Keywords: Logical Set