Late stage ovarian cancer gene expression profiles
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ABSTRACT: Gene expression profiling on 63 stage III-IV papillary serous ovarian cancer samples resected during primary debulking at the University of Turin, Italy. Only the primary ovarian mass and no metastases were included in this analysis. The study focused on ovarian cancer chemokine expressions Only the primary ovarian mass and no metastases were included in this analysis.
Project description:Gene expression profiling on 63 stage III-IV papillary serous ovarian cancer samples resected during primary debulking at the University of Turin, Italy. Only the primary ovarian mass and no metastases were included in this analysis. The study focused on ovarian cancer chemokine expressions
Project description:The distinction between primary and secondary ovarian tumors may be challenging for pathologists. We performed transcriptomic analysis in order to discriminate between primary ovarian tumors and ovarian metastases after primary breast cancer. We performed genomic analysis on tumor paired samples (breast/ovary) in order to know if genomic profiles could help for the discrimination of primary ovarian tumors and ovarian metastases after primary breast cancer.
Project description:Gene expression analysis was also performed on 13 primary and established human ovarian cancer cell lines (A2008, OAW42, OVCAR2, OVCAR3, OVCAR4, OVCAR5, OVCAR8, OVCAR10, OV7M, OV95, PE01, PE04, SKOV3) using Affymetrix Human Gene 1.0 ST Arrays The study focused on ovarian cancer chemokine expressions
Project description:Matched high-grade serous ovarian carcinoma samples collected from the ovary (ov), omental metastasis (om-met), and non-omental intraperitoneal metastasis (met) from 10 patients at the time of primary debulking surgery were analyzed for RNA expression by RNA sequencing.
Project description:Metastasis formation is the major cause for cancer-related deaths and the underlying mechanisms remain poorly understood. In this study we describe spontaneous metastasis xenograft mouse models of human neuroblastoma used for unbiased identification of metastasis-related proteins by applying an infrared laser (IR) for sampling primary tumor and metastatic tissues, followed by mass spectrometric proteome analysis. IR aerosol samples were obtained from ovarian and liver metastases, which were indicated by bioluminescence imaging (BLI), and matched subcutaneous primary tumors. Corresponding histology proved the human origin of metastatic lesions. Ovarian metastases were commonly larger than liver metastases indicating differential outgrowth capacities. Among ~1,700 proteins identified at each of the three sites, 89 proteins were differentially regulated in ovarian metastases while 290 proteins were regulated in liver metastases. There was an overlap of 26 and 10 proteins up- and down-regulated at both metastatic sites, respectively, most of which were so far not related to metastasis such as LYPLA2, ACTL8, EIF4B, LGALS7, GFAP, and ELAVL4. Moreover, we established in vitro sublines from primary tumor and metastases and demonstrate differences in cellular protrusions, migratory/invasive potential and glycosylation. Summarized, this work identified several novel putative drivers of metastasis formation that are tempting candidates for future functional studies.
Project description:In the last decades platinum-based neo-adjuvant chemotherapy (NACT) has been recognized as a reliable therapeutic strategy in patients with un-resectable advanced epithelial ovarian cancer (EOC). However, the molecular changes induced by NACT at miRNA level, and their prognostic role has not been clarified until now. In order to uncover miRNAs that are altered in EOC tumor which received NACT, we performed whole-miRNA analysis on 82 FIGO Stage IIIC-IV high-grade serous (HGS) tumors, whose samples had been collected at complete primary debulking (PDS) and at interval-debulking surgery (IDS) after fter 4 courses of NACT.
Project description:Tumor specimens were collected from women with ovarian tumors at primary surgery in a study covering most of Denmark called the MALOVA-study (MALignant OVArian cancer study). This multidisciplinary study on ovarian cancer covers epidemiology (life style factors), biochemistry, and molecular biology with the purpose of identifying risk factors and prognostic factors for EOC. The study has been approved by the Scientific Ethic Committees in the study area (KF01-384/95). Sample collection went on from 1994 to 1999, and the study is described in details in other articles(20;21;24;30). Histopathological classification of the ovarian tumors was based on the typing criteria of the WHO. Pathology reports and tissue were collected from the participating hospitals. One pathologist specialized in ovarian tumors, reviewed the tissue specimens without knowledge of the primary diagnoses. Subsequently, the reviewed diagnosis was compared to the original diagnosis and agreement on invasiveness was present in 98 % of the cases. The histopathological type was refined in 14% of the cases. FIGO stages were obtained from clinical records and were reviewed by two gynecologists, both specialized in OC. Reviewed data were used for further analysis. Furthermore all other relevant hospital files were collected, and data concerning, debulking status, CA-125 level prior to operation, amount and type of chemotherapy and cause of death (if dead) were registered. Patients were scored as Âradical (optimally debulked) if no macroscopic residual tumor nodules were left, and as Ânon-radical (sub-optimally debulked) if macroscopic nodules were left. All fresh tumor samples included in this study were intended to be snap frozen within 20 minutes after the tumor was removed, but exact transportation time is not known. All samples have been stored at -80ºC. We selected samples from the largest and most common histological subtype, the serous ovarian cancers, all stages. The tumor sample material consisted of 70 stage III/IV tumors and 19 stage I/II tumors. Further patient information can be obtained from the submitters on request.
Project description:We characterized the genetic copy number and expression differences between matched ovarian primary tumors and omental metastases. Differentially expressed genes revealed that metastases proliferate more and are less apoptotic. Differentially expressed genes revealed a predictive expression signature when applied to other gene expression datasets. 18 samples from 9 matched pairs of primary ovarian tumors and metastases from the omentum were collected.
Project description:The diversity and heterogeneity within high-grade serous ovarian cancer (HGSC) is not well understood. Comprehensive molecular analyses were performed including high-pass whole-genome sequencing, targeted deep DNA sequencing, RNA sequencing, reverse-phase protein arrays, mass spectrometry-based proteomics and phosphoproteomics, and immune profiling on primary and metastatic sites from highly clinically annotated HGSC samples. Samples were obtained pre-treatment based on a laparoscopic triage algorithm from patients who underwent R0 tumor debulking or received neoadjuvant chemotherapy (NACT) with excellent or poor response.
Project description:To identify the potential ovarian cancer stem cell gene expression profile from isolated side population of fresh ascites obtained from women with high-grade advanced stage papillary serous ovarian adenocarcinoma Microarrays were used to interrogate the differentially expressed genes between side population (SP) and main population (MP) isolated from fresh ascites obtained from women with high-grade advanced stage papillary serous ovarian adenocarcinoma, and the results were analyzed by paired T-test using BRB-ArrayTools Gene expression profiling was completed for 10 SP and MP pairs using the Affymetrix human U133 Plus 2.0 Arrays