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:Epithelial ovarian cancer (EOC) has the highest mortality among gynecological carcinomas. The lack of specific markers for prognostic determination of EOC progression hinders the search for novel effective therapies. The aim of the present study was (i) to explore differences in expressions of ATP-binding cassette and solute carrier transporter genes, genes associated with drug metabolism and cell cycle regulation between control ovarian tissues, primary epithelial ovarian carcinomas (EOC) and intraperitoneal EOC metastases; (ii) to investigate associations of gene expression level with prognosis of patients with intraperitoneal metastases.
Project description:High-grade serous carcinoma has a poor prognosis, owing primarily to its early dissemination throughout the abdominal cavity. Genomic and proteomic approaches have provided snapshots of the proteogenomics of ovarian cancer, but a systematic examination of both the tumour and stromal compartments is critical in understanding ovarian cancer metastasis. We developed a label- free proteomic workflow to analyse as few as 5,000 formalin-fixed, paraffin-embedded cells microdissected from each compartment. The tumour proteome was stable during progression from in situ lesions to metastatic disease; however, the metastasis-associated stroma was characterized by a highly conserved proteomic signature, prominently including the methyltransferase nicotinamide N-methyltransferase (NNMT) and several of the proteins that it regulates. Stromal NNMT expression was necessary and sufficient for functional aspects of the cancer-associated fibroblast (CAF) phenotype, including the expression of CAF markers and the secretion of cytokines and oncogenic extracellular matrix. Stromal NNMT expression supported ovarian cancer migration, proliferation and in vivo growth and metastasis. Expression of NNMT in CAFs led to depletion of S-adenosyl methionine and reduction in histone methylation associated with widespread gene- expression changes in the tumour stroma. This work supports the use of ultra-low-input proteomics to identify candidate drivers of disease phenotypes. NNMT is a central, metabolic regulator of CAF differentiation and cancer progression in the stroma that may be therapeutically targeted.
Project description:We found gene expression profiling of spheroid-forming cell (cancer stem-like cell) by cDNA microarray and validated the genes as prognostic markers of ovarian serous carcinoma.
Project description:Ovarian cancer is the leading cause of gynecological cancer related death. The overall 5 year survival rate is only 29%. Over 85% of ovarian cancer patients present with advanced stage III or IV disease characterized by intraperitoneal metastasis when diagnosed. However, the process and mechanism of ovarian tumor metastasis remain poorly understood partially because of the lack of a mouse model which could recapitulate the development of metastatic lesion in an appropriate timeframe. In order to generate a convenient ovarian cancer model with accelerated peritoneal metastasis, we performed an in vivo selection study using ID8 ovarian cancer cells to establish a rapid metastasizing mouse ovarian cancer cell line, designated ID8-M. Syngeneic mice with intraperitoneal inoculation of ID8-M cells showed measurable ascites average 35 days after the inoculation and survived only an average of 52 days, while those inoculated with parental ID8 cells showed measurable ascites after 67 days and survived over 81 days. Further analysis showed that, compared with ID8 tumors, ID8-M tumors resulted in more macrophages in the ascites; and compared to ID8 cells, ID8-M cells were more potent to promote macrophages to acquire a M2 phenotype. A microarray analysis provided information to explain the accelerated metastatic phenotype of ID8-M cells.
Project description:High grade serous carcinoma (HGSC) arising from either the fallopian tube or ovary has a poor prognosis primarily due to its early dissemination throughout the abdominal cavity. Genomic and proteomic approaches have provided snapshots of the proteogenomics of ovarian cancer (OvCa)1,2, but a systematic examination of both the tumor and stromal compartments is critical to understanding OvCa metastasis. We developed a label-free proteomic workflow to analyze as few as 5,000 formalin-fixed, paraffin embedded cells microdissected from each compartment. The tumor proteome was comparatively stable during progression from in situ lesions to metastatic disease; however, the metastasis-associated stroma was characterized by a highly conserved proteomic signature, prominently including the methyltransferase nicotinamide N-methyltransferase (NNMT) and the proteins it regulates. Stromal NNMT expression was necessary and sufficient for several functional aspects of the cancer associated fibroblast (CAF) phenotype, including the expression of CAF markers and the secretion of cytokines and oncogenic extracellular matrix. Stromal NNMT supported OvCa migration, proliferation, and in vivo growth and metastasis. Expression of NNMT in CAFs led to a depletion of S-adenosyl methionine (SAM) and a reduction in histone methylation associated with extensive gene expression changes in the tumor stroma. This work supports the use of ultra-low input proteomics to identify candidate drivers of disease phenotypes and reveals that NNMT is a central, metabolic regulator of CAF differentiation and cancer progression in the stroma and a novel treatment target.
Project description:High grade serous carcinoma (HGSC) arising from either the fallopian tube or ovary has a poor prognosis primarily due to its early dissemination throughout the abdominal cavity. Genomic and proteomic approaches have provided snapshots of the proteogenomics of ovarian cancer (OvCa)1,2, but a systematic examination of both the tumor and stromal compartments is critical to understanding OvCa metastasis. We developed a label-free proteomic workflow to analyze as few as 5,000 formalin-fixed, paraffin embedded cells microdissected from each compartment. The tumor proteome was comparatively stable during progression from in situ lesions to metastatic disease; however, the metastasis-associated stroma was characterized by a highly conserved proteomic signature, prominently including the methyltransferase nicotinamide N-methyltransferase (NNMT) and the proteins it regulates. Stromal NNMT expression was necessary and sufficient for several functional aspects of the cancer associated fibroblast (CAF) phenotype, including the expression of CAF markers and the secretion of cytokines and oncogenic extracellular matrix. Stromal NNMT supported OvCa migration, proliferation, and in vivo growth and metastasis. Expression of NNMT in CAFs led to a depletion of S-adenosyl methionine (SAM) and a reduction in histone methylation associated with extensive gene expression changes in the tumor stroma. This work supports the use of ultra-low input proteomics to identify candidate drivers of disease phenotypes and reveals that NNMT is a central, metabolic regulator of CAF differentiation and cancer progression in the stroma and a novel treatment target.
Project description:Breast carcinoma (BC) is the leading cause of death in women worldwide, making up 23% of all cancers in women, with 1.38 million new cases worldwide annually and responsible for 460,000 deaths. Despite the significant advances in the identification of molecular markers and different modalities of treatment in primary BC, the ability to predict the metastatic behavior in breast cancer is still limited. The purpose of this study was to help identify novel molecular markers associated with clinical outcome in a cohort of Brazilian BC patients. We generated global gene expression profiles from 24 patients with invasive ductal BC followed for ⥠5-years, including 15 samples from patients classified as presenting good prognosis based on traditional markers and clinical criteria and 9 patients that developed metastasis. We identified a set of 58 differentially expressed genes (p â¤0.01) between groups of patients with good and poor prognosis. Up-regulation of B3GNT7, PPM1D, TNKS2, PHB and GTSE1 in patients with poor prognosis was confirmed by quantitative RT-PCR in an independent sample set from patients with BC (47 with good prognosis and 8 that presented metastasis). Expression of BAD protein was investigated by immunohistochemistry in 1276 BC samples and confirmed the reduced expression levels in metastatic cases observed in the oligoarray data. These findings point to novel prognostic markers that can distinguish breast carcinoma samples according to clinical course and progression of the disease. Global expression profiles from 38 ductal breast tumor patient samples were used to search for molecular signatures correlated with current prognostic markers. A subset of 24 cases comprising 15 patients that remained free of disease after surgery and 9 patients that developed metastasis was used to identify candidate biomarkers associated with metastatic progression. Candidates were subsequently validated in additional independent samples by RT-qPCR or immunohistochemistry.
Project description:Proteome-metabolome profiling of ovarian cancer ascites reveals novel components involved in intercellular communication http://www.mcponline.org/content/early/2014/09/30/mcp.M114.041194.full.pdf+html?sid=78e7a955-fa54-4ded-b296-89f1fb6adbec
Project description:Proteome-metabolome profiling of ovarian cancer ascites reveals novel components involved in intercellular communication http://www.mcponline.org/content/early/2014/09/30/mcp.M114.041194.full.pdf+html?sid=78e7a955-fa54-4ded-b296-89f1fb6adbec