Real-time quantitative PCR analysis of human malignant pleural mesothelioma tissue specimens
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE54394 | GEO | 2014/01/25
SECONDARY ACCESSION(S): PRJNA236385
REPOSITORIES: GEO
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Project description:BACKGROUND: Malignant pleural mesothelioma (MPM) is difficult to distinguish from reactive mesothelial proliferations (RMPs). MicroRNAs (miRNAs) are small non-coding RNA-strands (~22 nucleotides) that post-transcriptionally regulate gene-expression. Studies have shown that miRNAs are potential diagnostic markers in other cancers; however, it is uncertain whether miRNAs are useful biomarkers for differentiating MPM from RMP. OBJECTIVE: To identify differentially expressed microRNAs which can aid in the diagnostics of MPM. METHODS: We screened with a quantitative RT-PCR (RT-qPCR)-based platform the expression of 742 miRNAs in formalin-fixed paraffin-embedded (FFPE) preoperative diagnostic biopsies, surgically resected MPM-specimens previously treated with chemotherapy, and corresponding non-neoplastic pleura (NNP) from 5 patients. RESULTS: By comparing the change in microRNA expression in patient-matched tissue samples, we identify 14 miRNAs which exhibit statistically significant deregulation between sample groups. CONCLUSION: Based on this initial screening of miRNA expression, we have identified 14 miRNAs which are potential diagnostic biomarkers and may aid in diffferentiating RMP from MPM. qPCR microRNA expression profiling. MicroRNA expression in surgical tissue samples and presurgery diagnostic biopsies of malignant pleural mesotheliomas was compared to corresponding patient-matched non-neoplastic pleura. Patient-matched diagnostic biopsies from still chemotherapy-naïve patients were included to test for chemotherapy-induced changes in microRNA expression.
2014-01-25 | E-GEOD-54394 | biostudies-arrayexpress
Project description:Malignant Pleural Mesothelioma (MPM) is an aggressive cancer that is often diagnosed at an advanced stage and is characterized by a long latency period (20-40 years between initial exposure and diagnosis) and prior exposure to asbestos. Currently accurate diagnosis of MPM is difficult due to the lack of sensitive biomarkers, and despite minor improvements in treatment, median survival rates do not exceed 12 months. Accumulating evidence suggests that aberrant expression of long non-coding RNAs (lncRNAs) play an important functional role in cancer biology. LncRNAs are a class of recently discovered non-protein coding RNAs >200 nucleotides in length with a role in regulating transcription. Here we used NCode long noncoding microarrays to identify differentially expressed lncRNAs potentially involved in MPM pathogenesis. High priority candidate lncRNAs were selected on the basis of statistical (P<0.05) and biological significance (>3-fold difference). Expression levels of 9 candidate lncRNAs were technically validated using RT-qPCR, and biologically validated in three independent test sets: (1) 57 archived MPM tissues obtained from extrapleural pneumonectomy patients, (2) 15 cryopreserved MPM and 3 benign pleura, and (3) an extended panel of 10 MPM cell lines. RT-qPCR analysis demonstrated consistent up-regulation of these lncRNAs in independent datasets. ROC curve analysis showed that two candidates were able to separate benign pleura and MPM with high sensitivity and specificity, and were associated with nodal metastases and survival following induction chemotherapy. These results suggest that lncRNAs have potential to serve as biomarkers in MPM.
2013-08-22 | GSE48174 | GEO
Project description:Malignant Pleural Mesothelioma (MPM) is an aggressive cancer that is often diagnosed at an advanced stage and is characterized by a long latency period (20-40 years between initial exposure and diagnosis) and prior exposure to asbestos. Currently accurate diagnosis of MPM is difficult due to the lack of sensitive biomarkers, and despite minor improvements in treatment, median survival rates do not exceed 12 months. Accumulating evidence suggests that aberrant expression of long non-coding RNAs (lncRNAs) play an important functional role in cancer biology. LncRNAs are a class of recently discovered non-protein coding RNAs >200 nucleotides in length with a role in regulating transcription. Here we used NCode long noncoding microarrays to identify differentially expressed lncRNAs potentially involved in MPM pathogenesis. High priority candidate lncRNAs were selected on the basis of statistical (P<0.05) and biological significance (>3-fold difference). Expression levels of 9 candidate lncRNAs were technically validated using RT-qPCR, and biologically validated in three independent test sets: (1) 57 archived MPM tissues obtained from extrapleural pneumonectomy patients, (2) 15 cryopreserved MPM and 3 benign pleura, and (3) an extended panel of 10 MPM cell lines. RT-qPCR analysis demonstrated consistent up-regulation of these lncRNAs in independent datasets. ROC curve analysis showed that two candidates were able to separate benign pleura and MPM with high sensitivity and specificity, and were associated with nodal metastases and survival following induction chemotherapy. These results suggest that lncRNAs have potential to serve as biomarkers in MPM. To identify mRNA and lncRNA biomarkers associated with malignant pleural mesothelioma (MPM), we performed gene expression array analysis on 4 MPM cell lines (H28, MM05, MSTO-211H, H226) compared to the immortalised mesothelial line (MeT-5A). All cell lines were profiled in duplicate. Synthesis of the labelled first strand cDNA was conducted using the Superscript Plus Direct cDNA labeling system with starting material of 10ug total RNA. The labeled dNTP mix was added to the reaction to generate labeled second strand cDNA. Following the hydrolysis reaction, single-stranded cDNA was purified using low elution volume spin cartridges included in the purification module. Samples were labelled using Alexa Fluor 555 dyes. Samples were then hybridised to NCode Long Noncoding RNA Microarrays. Slides were scanned using an Agilent Scanner. Genes differentially expressed between Met-5A and the MPM cell lines were identified on the basis of P-value and fold change.
2013-08-22 | E-GEOD-48174 | biostudies-arrayexpress
Project description:In this pilot study, we analyzed serum microRNA profiles of subjects with post-traumatic stress disorders in order to determine their potential to be used as diagnostic biomarkers. We discovered that serum microRNAs could potentially serve as diagnostic biomarkers of PTSD, both individually or grouped within a cluster of co-expressed miRNAs.
2020-10-24 | GSE137624 | GEO
Project description:Malignant pleural mesothelioma (MPM) is a highly lethal, poorly understood neoplasm that is typically associated with asbestos exposure. We performed transcriptional profiling using high-density oligonucleotide microarrays containing approximately 22,000 genes to elucidate potential molecular and pathobiological pathways in MPM using discarded human MPM tumor specimens (n=40), normal lung specimens (n=4), normal pleura specimens (n=5), and MPM and SV40-immortalized mesothelial cell lines (n=5). In global expression analysis using unsupervised clustering techniques, we found two potential subclasses of mesothelioma which correlate loosely with tumor histology. We also identified sets of genes with expression levels that distinguish between multiple tumor subclasses, normal and tumor tissues, and tumors with different morphologies. Microarray gene expression data were confirmed using quantitative reverse transcriptase-polymerase chain reaction (RT-PCR) and protein analysis for three novel candidate oncogenes (NME2, CRI1, and PDGFC) and one candidate tumor suppressor (GSN). Finally, we used bioinformatics tools (i.e. software) to create and explore complex physiological pathways that may be relevant in mesothelioma tumorigenesis, pathobiology, or both. Tissues and cell lines profiled using microarrays. Discarded MPM surgical specimens (n=40), normal pleura specimens (n=5), and normal lung specimens (n=4) were freshly collected (and snap frozen) from patients who underwent surgery at Boston's Brigham and Women's Hospital (BWH) between October 1998 and August 2000. All of these patients underwent extrapleural pneumonectomy with heated intra-pleural cisplatin chemotherapy delivered after the specimens were removed. All normal specimens were obtained from patients who were never diagnosed with MPM. Two human MPM cell lines (MS589 and MS428) were kindly provided by Jonathan A. Fletcher, M.D., Department of Pathology, BWH. The JMN1B MPM cell line19,20 has been described previously. The SV40-immortalized, non-tumorigenic mesothelial cell line (Met-5A)21 and the MPM cell line MSTO-211H22 were purchased from the American Type Culture Collection. Normal tissues were obtained from additional consented patients undergoing treatment for diseases other than MPM. All MPM samples used in these studies contained relatively pure tumor (greater than 50% tumor cells per high power field examined in a section adjacent to the tissue used). The microscopic slides from the patients' resection specimens were reviewed by one of the authors (J.G.), and the diagnosis and histologic subclassification of MPM confirmed in all cases. Linked clinical and pathological data were obtained for all patients who contributed tumor specimens. Specimens and data were rendered anonymous to protect patient confidentiality. Studies utilizing human tissues were approved by and conducted in accordance with the policies of the Institutional Review Board at BWH.
2005-06-01 | GSE2549 | GEO
Project description:Purpose: Exosome-derived microRNAs (miRNAs) are potential diagnostic biomarkers. However, little is known about their effectiveness as diagnostic biomarkers of fulminant myocarditis (FM). This study aimed to explore miRNA levels in serum exosomes of patients with FM as potential biomarkers for FM diagnosis. Methods: 10 samples were screened with a exosomal small RNA sequencing platform (RiboBio). A Mann-Whitney test was performed to discover differentially expressed miRNAs in the two pairwise comparisons: FM versus HC. Results: From the differentially expressed miRNAs, fourteen candidate miRNAs discovered via small RNA sequencing with P＜0.05 and fold expression change ＞2 were selected for further testing Conclusions: These data suggested that the miRNA panel in serum-derived exosomes provided excellent diagnostic capability for FM.
2021-01-27 | GSE147517 | GEO
Project description:Malignant pleural mesothelioma (MPM) is a highly lethal, poorly understood neoplasm that is typically associated with asbestos exposure. We performed transcriptional profiling using high-density oligonucleotide microarrays containing approximately 22,000 genes to elucidate potential molecular and pathobiological pathways in MPM using discarded human MPM tumor specimens (n=40), normal lung specimens (n=4), normal pleura specimens (n=5), and MPM and SV40-immortalized mesothelial cell lines (n=5). In global expression analysis using unsupervised clustering techniques, we found two potential subclasses of mesothelioma which correlate loosely with tumor histology. We also identified sets of genes with expression levels that distinguish between multiple tumor subclasses, normal and tumor tissues, and tumors with different morphologies. Microarray gene expression data were confirmed using quantitative reverse transcriptase-polymerase chain reaction (RT-PCR) and protein analysis for three novel candidate oncogenes (NME2, CRI1, and PDGFC) and one candidate tumor suppressor (GSN). Finally, we used bioinformatics tools (i.e. software) to create and explore complex physiological pathways that may be relevant in mesothelioma tumorigenesis, pathobiology, or both. Tissues and cell lines profiled using microarrays. Discarded MPM surgical specimens (n=40), normal pleura specimens (n=5), and normal lung specimens (n=4) were freshly collected (and snap frozen) from patients who underwent surgery at Bostonâs Brigham and Womenâs Hospital (BWH) between October 1998 and August 2000. All of these patients underwent extrapleural pneumonectomy with heated intra-pleural cisplatin chemotherapy delivered after the specimens were removed. All normal specimens were obtained from patients who were never diagnosed with MPM. Two human MPM cell lines (MS589 and MS428) were kindly provided by Jonathan A. Fletcher, M.D., Department of Pathology, BWH. The JMN1B MPM cell line19,20 has been described previously. The SV40-immortalized, non-tumorigenic mesothelial cell line (Met-5A)21 and the MPM cell line MSTO-211H22 were purchased from the American Type Culture Collection. Normal tissues were obtained from additional consented patients undergoing treatment for diseases other than MPM. All MPM samples used in these studies contained relatively pure tumor (greater than 50% tumor cells per high power field examined in a section adjacent to the tissue used). The microscopic slides from the patientsâ resection specimens were reviewed by one of the authors (J.G.), and the diagnosis and histologic subclassification of MPM confirmed in all cases. Linked clinical and pathological data were obtained for all patients who contributed tumor specimens. Specimens and data were rendered anonymous to protect patient confidentiality. Studies utilizing human tissues were approved by and conducted in accordance with the policies of the Institutional Review Board at BWH. SUBMITTER_CITATION: Gordon, G. J., Rockwell, G. N., Jensen, R. V., Rheinwald, J. G., Glickman, J.N., Aronson, J. P., Pottorf, B. J., Nitz, M. D., Richards, W. G., Sugarbaker, D. J., and Bueno, R. Identification of novel candidate oncogenes and tumor suppressors in malignant pleural mesothelioma using large-scale transcriptional profiling. American Journal of Pathology, 166: 1827-1840, 2005.
2007-08-25 | E-GEOD-2549 | biostudies-arrayexpress
Project description:In this study we aim to evaluate the diagnostic value of miRNAs for in the detection of acute myocardial infarction (AMI). We used microRNA microarray to screen differentially expressed microRNAs (miRNAs) in rat myocardial infarcted tissues compared with healthy control tissues. Then the expression of these miRNAs was further verified by quantitative real-time polymerase chain reaction (RT-PCR) in rat myocardial infarcted tissues and plasma. Finally, the diagnostic value of these circulating miRNAs was explored in 44 patients with AMI, 53 with coronary heart disease (CHD) and 56 healthy controls.
2024-08-01 | GSE239822 | GEO
Project description:MicroRNAs as diagnostic biomarkers for major depression
| PRJNA320744 | ENA
Project description:Colorectal cancer (CRC) is the third most common cancer and the fourth leading cause of cancer-related death in the world. Despite potentially curative surgery and the use of modern adjuvant chemotherapy, up to 40% of CRC patients subsequently develop local tumor relapse or metastatic disease. Currently, aside from post-operative pathological staging, early follow up of the patients does not include a specific test or any other evaluation that could predict disease recurrence. Therefore, exploring and identifying novel biomarkers of CRC’s following diagnosis of the primary tumor may help us in identifying patients at high risk for recurrence.
Modifications in signaling pathways and their regulation by microRNAs (miRNAs) are being evaluated as biomarkers and therapeutic targets for cancer in general and CRC in particular. It has been established, although not completely, that miRNAs have a role in initiation and progression of CRC. Modifications of miRNAs have been recorded in CRC tumors, and the expression patterns of these miRNAs could in principle biomark this cancer’s phenotype. As miRNAs are well documented to regulate critical molecules in signaling pathways, their regulation of tumor relevant pathways may also serve to further sub-classify patients into drug responsive groups. Moreover, miRNAs may be sampled from peripheral blood and are available as a non-invasive diagnostic method, their application as biomarkers is of special interest.
In this study the investigators aim to quantify miRNA levels in human colon and rectal tumors, tumor adjacent and normal tissues. By comparing this data from a large cohort of patients, the investigators aim to identify specific, relevant miRNAs that may serve as biomarkers to stratify CRC patients according to their clinical characteristics such as disease stage, specific treatment, prognosis and disease recurrence.
| 2134048 | ecrin-mdr-crc