Long noncoding RNAs are dysregulated in malignant pleural mesothelioma
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE48174 | GEO | 2013/08/22
SECONDARY ACCESSION(S): PRJNA209091
REPOSITORIES: GEO
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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: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: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.
2014-01-25 | GSE54394 | GEO
Project description:Diagnosis of malignant pleural mesothelioma (MPM) is difficult, the most common differential diagnosis being benign pleural diseases and metastatic adenocarcinomas. In order to identify novel markers able to improve diagnostic accuracy, we performed a genome-wide gene expression analysis on tumor cells lines established from pleural effusions (13 MPM and 4 lung adenocarcinoma). Our microarray analysis led to the identification of genes encoding novel cellular and soluble markers whose expression was validated by RT-qPCR. Immunohistochemical staining of tumor biopsies with anti-type-III collagen antibodies were positive in mesothelioma cells but not in adenocarcinoma cells. Using ELISA, we showed that the C-C motif chemokine 2 (CCL2) concentration was significantly higher in pleural effusions from patients with mesothelioma (n = 61) than in subjects with adenocarcinoma (n = 25) or with benign pleural effusions (n = 15): median (interquartile range) = 2.99 ng/mL (1.76-6.01) versus 0.99 ng/mL (0.51-1.83) and 1.47 ng/mL (0.80-1.56), respectively, P < 0.0001. Conversely, the galectin-3 concentration was lower in mesothelioma: 11.50 ng/mL (6.73-23.53) versus 24.74 ng/mL (20.42-70.35) and 17.64 ng/mL (14.81-24.68), respectively, P < 0.0001. The AUC for CCL2 were 0.8030 and 0.7716 for differentiating mesothelioma from adenocarcinoma or benign effusions, respectively. Similarly, the AUC obtained for galectin-3 were 0.7980 and 0.6923, respectively. In conclusion, type-III collagen, CCL2 and galectin-3 are promising new diagnostic markers for mesothelioma.
2009-07-25 | GSE17310 | GEO
Project description:Diagnosis of malignant pleural mesothelioma (MPM) is a challenging task because of its overlap with other neoplasms or even reactive conditions. Recently, DNA methylation analysis proved to be an effective tool for tumor diagnosis. We thus set out to test this approach for MPM diagnosis. A discovery (n=33) and an independent validation cohort (n=46) of MPM samples were subjected to array-based DNA methylation analyses and their DNA methylation patterns were compared to a representative set of both malignant and benign diagnostic mimics. By both unsupervised hierarchical clustering and t-distributed stochastic neighbor embedding analysis, MPM samples of the discovery cohort exhibited a distinct DNA methylation profile, different from that of other neoplastic and reactive mimics.
2021-03-20 | GSE164269 | 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: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:The gene-expression ratio technique was used to design a molecular signature to diagnose MPM from among other potentially confounding diagnoses and differentiate the epithelioid from the sarcomatoid histological subtype of MPM. Microarray analysis was performed on 113 specimens including MPMs and a spectrum of tumors and benign tissues comprising the differential diagnosis of MPM. A sequential combination of binary gene-expression ratio tests was developed to discriminate MPM from other thoracic malignancies . This method was compared to other bioinformatic tools and this signature was validated in an independent set of 170 samples. Functional enrichment analysis was performed to identify differentially expressed probes.
2013-05-01 | E-GEOD-42977 | biostudies-arrayexpress
Project description:The expression of long non-coding RNAs - lncRNAs - was profiled in the liver cancer Hepatocellular Carcinoma - HCC - and in normal liver tissues using the Invitrogen NCode Human lncRNA Array Platform.
2018-07-31 | GSE113850 | GEO
Project description:The sensitivity and specificity of traditional non-invasive diagnostic markers for gastric cancer are insufficient. Long-chain noncoding RNAs (lncRNAs) in circulating exosomes are a new class of promising cancer biomarkers. However, the expression profile of long-chain noncoding RNAs (lncRNAs) in exosomes derived from gastric high-grade intraepithelial neoplasia (GHGIN) has not been reported.The aim of this study was to investigate the expression profile of long non-coding RNAs (lncRNAs) in the plasma exosomes of patients with gastric high-grade intraepithelial neoplasia. Peripheral blood samples were collected from five patients with GHGIN and five healthy donors, and the exosomes were isolated. We used high-throughput sequencing to detect differently expressed lncRNAs (DE lncRNAs) in these individuals. Real-time quantitative polymerase chain reaction (RT-qPCR) assay was performed to verify the sequencing results. The potential roles of the DE lncRNAs in GHGIN were speculated by performing Gene ontology (GO) and Kyoto Encyclopedia of Gene and Genome (KEGG) analysis. We constructed a lncRNAs–miRNA–mRNA network diagram and performed association analyses to explore the underlying molecular mechanisms. A total of 25145 lncRNAs were identified in all samples; 83 lncRNAs that showed significant differential expression were further screened, including 76 up‐regulated and 7 down‐regulated lncRNAs. RT-qPCR further confirmed these results. GO and KEGG analyses predicted that these lncRNAs played important roles in protein and macromolecule glycosylation, regulation of protein ubiquitination, and renin-angiotensin system and MAPK signaling pathways. We further constructed a lncRNA–miRNA–mRNA interaction network. This study may help in discovering new molecular changes, enrich the expression profile of lncRNAs in human GHGIN, and help us better understand the molecular mechanisms of GHGIN and gastric cancer.
2020-06-29 | GSE153413 | GEO