MicroRNA profiling by array of human stage I epithelial ovarian cancer
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
SUBMITTER: Luca Clivio
PROVIDER: E-MTAB-297 | biostudies-arrayexpress |
REPOSITORIES: biostudies-arrayexpress
Similar Datasets
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.
2016-01-20 | E-MTAB-3696 | biostudies-arrayexpress
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.
2020-02-11 | E-MTAB-7084 | biostudies-arrayexpress
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.
2020-02-11 | E-MTAB-7083 | biostudies-arrayexpress
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.
2013-08-30 | E-GEOD-50472 | biostudies-arrayexpress
Project description:Background
There is a need for diagnostic tests for screening, triaging and staging of epithelial ovarian cancer (EOC). Glycoproteomics of blood samples has shown promise for biomarker discovery.
Methods
We applied glycoproteomics to serum of people with EOC or benign pelvic masses and healthy controls. A total of 653 analytes were quantified and assessed in multivariable models, which were tested in an independent cohort. Additionally, we analyzed glycosylation patterns in serum markers and in tissues.
Results
We identified a biomarker panel that distinguished benign lesions from EOC with sensitivity and specificity of 83.5% and 90.1% in the training set, and of 86.7 and 86.7% in the test set, respectively. ROC analysis demonstrated strong performance across a range of cutoffs. Fucosylated multi-antennary glycopeptide markers were higher in late-stage than in early-stage EOC. A comparable pattern was found in late-stage EOC tissues.
Conclusions
Blood glycopeptide biomarkers have the potential to distinguish benign from malignant pelvic masses, and early- from late-stage EOC. Glycosylation of circulating and tumor tissue proteins may be related. This study supports the hypothesis that blood glycoproteomic profiling can be used for EOC diagnosis and staging and it warrants further clinical evaluation.
2024-03-01 | MSV000094219 | MassIVE
Project description:Downregulation of specific microRNAs contribute to epithelial-mesenchymal transition of Wilms' tumor cancer initiating cells. In order to gain insight into the biology of initiating cells/cancer stem cells (CIC/CSCs) in Wilms' tumor, we compared the microRNA expression profile of un-sorted propagatable WT xenografts (p-WT Xn), p-WT NCAM+ALDH1+-derived Xn and human fetal kidneys (hFKs). Global microRNA expression analysis showed specific microRNAs to differentially express identifying a strong miRNA signature for the NCAM+ALDH1+ WT CICs. 3 different tissue types (described in 'summary') each with n=4 were homoginized and analyzed for their global miRNA expression profiles. Human Fetal Kidney tissues were used as a control.
2012-12-01 | E-GEOD-33332 | biostudies-arrayexpress
Project description:Background: MicroRNA (miRNA) is an emerging subclass of small non-coding RNAs that regulates gene expression and has a pivotal role for many physiological processes including cancer development. Recent reports revealed the role of miRNAs as ideal biomarkers and therapeutic targets due to their tissue- or disease-specific nature. Head and neck cancer (HNC) is a major cause of cancer-related mortality and morbidity, and laryngeal cancer has the highest incidence in it. However, the molecular mechanisms involved in laryngeal cancer development remain to be known and highly sensitive biomarkers and novel promising therapy is necessary. Methodology/Principal Findings: To explore laryngeal cancer-specific miRNAs, RNA from 5 laryngeal surgical specimens including cancer and non-cancer tissues were hybridized to microarray carrying 723 human miRNAs. The resultant differentially expressed miRNAs were further tested by using quantitative real time PCR (qRT-PCR) on 43 laryngeal tissue samples including cancers, noncancerous counterparts, benign diseases and precancerous dysplasias. Significant expressional differences between matched pairs were reproduced in miR-133b, miR-455-5p, and miR-196a, among which miR-196a being the most promising cancer biomarker as validated by qRT-PCR analyses on additional 84 tissue samples. Deep sequencing analysis revealed both quantitative and qualitative deviation of miR-196a isomiR expression in laryngeal cancer. In situ hybridization confirmed laryngeal cancer-specific expression of miR-196a in both cancer and cancer stroma cells. Finally, inhibition of miR-196a counteracted cancer cell proliferation in both laryngeal cancer-derived cells and mouse xenograft model. Conclusions/Significance: Our study provided the possibilities that miR-196a might be very useful in diagnosing and treating laryngeal cancer. To explore laryngeal cancer-specific miRNAs, RNA from 5 laryngeal surgical specimens including cancer and non-cancer tissues were hybridized to microarray carrying 723 human miRNAs. Total RNA including low molecular weight RNA from tissue samples was isolated using the mirVanaTM miRNA Isolation Kit (Ambion) according to the manufacturer's instructions. The quality of the RNA samples was assessed using an Agilent 2100 Bioanalyzer, and only the samples meeting the criteria of 28S/18S > 1 and RNA Integrity Number (RIN) M-bM-^IM-% 7.5 were used for all analyses. For microarray analysis, we used the Human miRNA Microarray Kit V2 (Agilent Technologies, Santa Clara, CA), which contains 20-40 features targeting each of 723 human miRNAs (Agilent design ID 019118) as annotated in the Sanger miRBase, release 10.1. Labeling and hybridization of total RNA samples were performed according to the manufacturer's protocol. One hundred ng of total RNA was used as an input into the labeling reaction, and the entire reaction was hybridized to each array for 20 hours at 55M-BM-0C. The results were analyzed using Agilent GeneSpring GX7.3. Normal controls and cancer samples were compared using Welch's t-test (p<0.05) and differentially expressed miRNAs with at least a 2-fold change in expression were considered to be potential biomarkers.
2013-06-04 | E-GEOD-47610 | biostudies-arrayexpress
Project description:We measured the expression of human microRNAs in tumor cells derived from 8 FFPE samples among non-invasive CRC patients with different prognosis. Patients lived for more than 5 years after surgery were classified as good prognosis, and patients died within 5 years from surgery were classified as poor prognosis. Tumor tissues were macrodissected under the control HE staining slides. And there were at least 75 percent cancer cells in the samples. MicroRNA microarray was used to measure the expression of human miRNAs in tumor cells derived from 8 FFPE samples among early stage CRC patients with different prognosis.
2016-04-02 | E-GEOD-79810 | biostudies-arrayexpress
Project description:Objective: The immune system is a key player in fighting cancer. Thus, we seeked to identify a molecular ‘immune response signature’ indicating the presence of epithelial ovarian cancer (EOC) and to combine this with a serum protein biomarker panel to increase the specificity and sensitivity for earlier detection of EOC. Methods: Comparing the expression of 32,000 genes in a leukocytes fraction from 48 EOC patients and 20 controls, three uncorrelated shrunken centroid models were selected, comprised of 7, 14, and 6 genes. A second selection step using RT-qPCR data and significance analysis of microarrays yielded 13 genes which were finally used in 343 samples (90 healthy, 6 cystadenoma, 8 low malignant potential tumor, and 239 EOC patients). Using new 65 controls and 224 EOC patients the abundances of six plasma proteins was determined and used in combination with the expression values from the 13 genes for diagnosis of EOC. Results: Combined diagnostic models using either each five gene expression and plasma protein abundance values or 13 gene expression and six plasma protein abundance values can discriminate controls from patients with EOC with Receiver Operator Characteristics Area Under the Curve values of 0.998 and bootstrap .632+ validated classification errors of 3.1% and 2.8%, respectively. The sensitivities were 97.8% and 95.6%, respectively, at a set specificity of 99.6%. Conclusion: The combination of expression based and plasma protein based biomarkers in one diagnostic model increases the sensitivity and the specificity significantly. Such a diagnostic test may allow earlier diagnosis of epithelial ovarian cancer. The expression of a blood cell fraction from 20 healthy controls and 48 patients with epithelial ovarian cancer was compared.
2011-09-01 | E-GEOD-31682 | biostudies-arrayexpress
Project description:A set of 45 surgical specimens has been profiled for miRNA expression to validate miRNA alterations associated to early relapse in advanced stage ovarian cancer patients. Fresh frozen samples were collected from a series of consecutive patients with high-grade advanced stage ovarian cancer who underwent primary surgery at INT-Milan. After surgery all patients received postoperative platinum-based chemotherapy. All patients signed an Institutional Review Board approved consent for bio-banking, clinical data collection and molecular analysis. Clinical codes: Histotype: according to WHO classification guidelines Stage: according to International Federation of Gynecological and Obstetrics (FIGO) guidelines Grading: according to WHO classification guidelines Debulking: NED: not evident disease; mRD: minimal residual disease; GRD: gross residual disease Therapy code: P: Platinum without taxanes; PT: Platinum/paclitaxel
2015-04-30 | E-GEOD-67819 | biostudies-arrayexpress