Project description:The inability to establish stable cell lines from the vast majority of human tumors has limited the use of in vitro models to study human cancer. Currently available tumor cell lines fail to represent the biological diversity of human tumors. We have developed a cell culture medium that enabled us to routinely establish cell lines from diverse subtypes of ovarian tumors. Importantly, the twenty-five ovarian tumor cell lines described here retain the genomic landscape, histopathology, and molecular features of the original tumors. Furthermore, the molecular profile and drug response of these cell lines correlated with distinct groups of primary tumors with different outcomes. Thus, tumor cell lines derived using this methodology represent a significantly improved new platform to study human tumor biology and treatment. DNA was extracted from 25 OCI (human ovarian cancer) cell lines.
Project description:The inability to establish stable cell lines from the vast majority of human tumors has limited the use of in vitro models to study human cancer. Currently available tumor cell lines fail to represent the biological diversity of human tumors. We have developed a cell culture medium that enabled us to routinely establish cell lines from diverse subtypes of ovarian tumors. Importantly, the twenty-five ovarian tumor cell lines described here retain the genomic landscape, histopathology, and molecular features of the original tumors. Furthermore, the molecular profile and drug response of these cell lines correlated with distinct groups of primary tumors with different outcomes. Thus, tumor cell lines derived using this methodology represent a significantly improved new platform to study human tumor biology and treatment. 41 samples were analyzed in singlicate. DNA was extracted from 16 OCI cell lines and the 16 uncultured tumor tissue samples from which they were derived. DNA was also extracted from 9 standard ovarian cancer cell lines.
Project description:The inability to establish stable cell lines from the vast majority of human tumors has limited the use of in vitro models to study human cancer. Currently available tumor cell lines fail to represent the biological diversity of human tumors. We have developed a cell culture medium that enabled us to routinely establish cell lines from diverse subtypes of ovarian tumors. Importantly, the twenty-five ovarian tumor cell lines described here retain the genomic landscape, histopathology, and molecular features of the original tumors. Furthermore, the molecular profile and drug response of these cell lines correlated with distinct groups of primary tumors with different outcomes. Thus, tumor cell lines derived using this methodology represent a significantly improved new platform to study human tumor biology and treatment.
Project description:The inability to establish stable cell lines from the vast majority of human tumors has limited the use of in vitro models to study human cancer. Currently available tumor cell lines fail to represent the biological diversity of human tumors. We have developed a cell culture medium that enabled us to routinely establish cell lines from diverse subtypes of ovarian tumors. Importantly, the twenty-five ovarian tumor cell lines described here retain the genomic landscape, histopathology, and molecular features of the original tumors. Furthermore, the molecular profile and drug response of these cell lines correlated with distinct groups of primary tumors with different outcomes. Thus, tumor cell lines derived using this methodology represent a significantly improved new platform to study human tumor biology and treatment.
Project description:The inability to establish stable cell lines from the vast majority of human tumors has limited the use of in vitro models to study human cancer. Currently available tumor cell lines fail to represent the biological diversity of human tumors. We have developed a cell culture medium that enabled us to routinely establish cell lines from diverse subtypes of ovarian tumors. Importantly, the twenty-five ovarian tumor cell lines described here retain the genomic landscape, histopathology, and molecular features of the original tumors. Furthermore, the molecular profile and drug response of these cell lines correlated with distinct groups of primary tumors with different outcomes. Thus, tumor cell lines derived using this methodology represent a significantly improved new platform to study human tumor biology and treatment.
Project description:The inability to establish stable cell lines from the vast majority of human tumors has limited the use of in vitro models to study human cancer. Currently available tumor cell lines fail to represent the biological diversity of human tumors. We have developed a cell culture medium that enabled us to routinely establish cell lines from diverse subtypes of ovarian tumors. Importantly, the twenty-five ovarian tumor cell lines described here retain the genomic landscape, histopathology, and molecular features of the original tumors. Furthermore, the molecular profile and drug response of these cell lines correlated with distinct groups of primary tumors with different outcomes. Thus, tumor cell lines derived using this methodology represent a significantly improved new platform to study human tumor biology and treatment. Total RNA was obtained from untreated ovarian cancer cell lines and clustering analysis was performed. The 'Median-Cent_5147_probes.txt' is a list of the 5147 gene probes that has at least 2-fold difference relative to median value across cell lines in at least 4 samples. These are the probes that were used for hierarchial clustering analysis. The 'Combined_and_GSE9891.txt' is a combination of gene probes from this study of ovarian cell lines and of human ovarian cancer cell lines (GSE9891[GPL570]: Expression profile of 285 ovarian tumour samples). Only the 3832 overlapping gene probes between the this study and the GSE9891[GPL570] study are listed. The 3832 gene probes listed have at least 2-fold difference relative to median value across samples in at least 4 samples.
Project description:To understand the molecular mechanism underlying ovarian metastasis of gastric cancer, we performed RNA-seq of paired primary tumor, normal mucosa and ovarian metastasis of four GC patients by the Illumina sequencing platform with 150-bp paired-end, followed by functional enrichment analyses of differentially expressed genes between three sample sets. A total number of 15,493 protein-coding genes were detected, the majority of which were the annotated human reference genes. Using a threshold of fold change >2 and adjusted P value <0.05, a total number of 3023 differentially expressed genes were detected between different sets of samples. Among them, 479 and 609 protein-coding genes were up- and down-regulated in ovarian metastases over primary tumors, respectively. Functional enrichment analyses revealed the significant enrichment of immune system, tumor microenvironment, metabolism and sex hormone-related pathways in the ovarian metastasis of gastric cancer. In conclusion, comparative transcriptome characterization of paired primary and ovarian metastatic tumor profiled the genome-wide molecular expression and unveiled functionally enriched pathways underlying this specific type of distant metastasis in GC.