MiRNA profiling of longitudinal ovarian cancer biopsies collected before and after platinum-based neo-adjuvant chemotherapy
ABSTRACT: 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:This study aims at correlating changes in the microRNA state in high grade serous epithelial ovarian cancer (HGS-EOC) to the response to therapy, in particular the insurgence of resistance to platinum-based treatment.
Project description:This study aims at correlating changes in the transcriptional state in high grade serous epithelial ovarian cancer (HGS-EOC) to the response to therapy, in particular the insurgence of resistance to platinum-based treatment.
Project description:In an effort to define the biological determinants of stage I chemo-sensitivity, we undertook a genome-wide miRNA expression profile in a cohort of 89 stage I patients (24 of which relapsed) with a complete follow up of twelve years, selected from a single tumor tissue collection of more than 1300 snap frozen tumor biopsies. With expression profile results for these samples and associated clinical variables, we investigated the association between miRNA and prognosis in stage I EOC. (Note: NED - No evidence of disease, DOD - Died of disease and DOC - Died of other causes)
Project description:We performed Array CGH on 25 patients with high grade serous epithelial ovarian cancer (HGS-EOC): each of this had multiple biopsies taken at the moment of the surgery in different anatomical sites, and 18 had also temporal biopsies taken after several cycles of chemotherapy. Blood was used as control. The experiment was performed to identify genomic alterations that can be used to classify the disease, going beyond the individual tumor heterogeneity.
Project description:miRNA profiling of normal and tumorigenic mouse mammary tissue. Mouse genotypes consist of wildtype, MMTV-Met, MMTV-Met;Trp53fl/+;Cre, and Trp53fl/+;Cre. One-color design. Samples consist of 2 normal tissues, 7 MMTV-Met tumors, 8 MMTV-Met;Trp53fl/+;Cre tumors, and 8 Trp53;Cre tumors.
Project description:Early surgery is vital in the treatment of highly fatal pancreatic cancer (PC). But there is no valuable and non-invasive biomarker to screen PC currently. Studies showed many salivary molecules can detect several systemic diseases. We aimed to investigate whether salivary microRNAs (miRNAs) can act as a biomarker to detect resectable PC. By Agilent microarray salivary miRNAs were profiled from saliva samples from 8 patients with resectable PC and 8 healthy controls. Candidate biomarkers discovered from the profile were subjected to validation by qPCR.
Project description:Most (70%) epithelial ovarian cancers (EOCs) are diagnosed late. Non-invasive biomarkers that facilitate disease detection and predict outcome are needed. The microRNAs (miRNAs) represent a new class of biomarkers. This study was to identify and validate plasma miRNAs as biomarkers in EOC. We evaluated plasma samples of 360 EOC patients and 200 healthy controls from two institutions. All samples were grouped into screening, training and validation sets. We scanned the circulating plasma miRNAs by TaqMan low-density array in the screening set and identified/validated miRNA markers by real-time polymerase chain reaction assay in the training set. Receiver operating characteristic and logistic regression analyses established the diagnostic miRNA panel, which were confirmed in the validationsets. We found higher plasma miR-205 and lower let-7f expression in cases than in controls. MiR-205 and let-7f together provided high diagnostic accuracy for EOC, especially in patients with stage I disease. The combination of these two miRNAs and carbohydrate antigen-125 (CA-125) further improved the accuracy of detection. MiR-483-5p expression was elevated in stages III and IV compared with in stages I and II, which was consistent with its expression pattern in tumor tissues. Furthermore, lower levels of let-7f were predictive of poor prognosis in EOC patients. Our findings indicate that plasma miR-205 and let-7f are biomarkers for ovarian cancer detection that complement CA-125; let-7f may be predictive of ovarian cancer prognosis. We designed a multi-stage, retrospective, nested case-control study to determine whether serum miRNA profiles can be used to predict EOC development. All samples were grouped into screening, training, and validation sets. A total of 560 plasma samples (360 cases and 200 controls) were obtained from Tianjin Medical University Cancer Institute and Hospital (TCIH) and Cancer Center of Nanjing Medical University. The cases and controls were well matched for age. The International Federation of Gynaecology and Obstetrics (FIGO) staging system was used to stage cases. All patients and controls were genetically unrelated, ethnic Han Chinese women who were permanent residents of the urban area of Tianjin and Nanjing. Controls with cardiovascular, respiratory, digestive, urinary, reproductive, and endocrine diseases were excluded. The study protocols were approved by the Tianjin and Nanjing Center review committees. In screening set, to detect generalizable miRNA signatures, we pooled serum samples of 10 early-stage cases (stage I), 10 late-stage cases (stage IIIc-IV), and 10 healthy controls, respectively, and analyzed these three pool samples using a TaqMan low-density array (TLDA set 2.0, Applied Biosystems) chip screening in the discovery stage. In training set, the miRNAs identified in the screening set were validated using quantitative reverse transcription-polymerase chain reaction (qRT-PCR) on individual plasma samples of 76 EOC patients and 30 normal controls. In validation set, the validation set comprised a two-phase process. Promising associations from the screening and training set were evaluated in the validation phase I set, comprising 134 cases and 70 controls from Tianjin Center. The validation phase II set included samples of 77 EOC cases and 50 normal controls were from Tianjin Center and 73 EOC cases and 50 normal controls were from Nanjing Center.
Project description:We have previously demonstrated (Calura E et al., 2013) that different epithelial ovarian cancer (EOC) histotypes have different, defined characteristics at the microRNA level, which might highlight a different originating tissue for the disease. From these results we have invesigated whole-genome gene expression on a cohort of samples with different FIGO grades, in order to investigate the link between the tumor grade and gene expression.
Project description:A key step in angiogenesis is the upregulation of growth factor receptors on endothelial cells. Here we demonstrate that a small regulatory microRNA, miR-296 has a major role in this process. Glioma cells and angiogenic growth factors elevate the level of miR-296 in primary human brain microvascular endothelial cells in culture. The miR-296 level is also elevated in primary tumor endothelial cells isolated from human brain tumors compared to normal brain endothelial cells. Growth factor-induced miR-296 contributes significantly to angiogenesis by directly targeting the hepatocyte growth factor-regulated tyrosine kinase substrate (HGS) mRNA, leading to decreased levels of HGS and thereby reducing HGS-mediated degradation of the growth factor receptors VEGFR2 and PDGFR-β. Furthermore, inhibition of miR-296 with antagomirs reduces angiogenesis in tumor xenografts in vivo. Keywords: comparitive miRNA analysis 3 biological replicates (HBMVECs) are compared to 3 biological replicates (HBMVECs exposed to U87 glioma cells)