Transcriptome profiling of Benign and Malignant Pancreatic Headmass
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE143754 | GEO | 2020/11/12
REPOSITORIES: GEO
Similar Datasets
Project description:Transcriptome profiling of Benign and Malignant Pancreatic Headmass
| PRJNA601487 | ENA
Project description:Intra-tumor heterogeneity (ITH) has been studied at the morphologic, genomic, and transcriptomic level, but not proteomic level. Recent advances in mass spectrometric (MS) proteome quantification techniques, exemplified by SWATH-MS, a massively parallel targeting method, now also support precise quantitative proteomic comparisons across multiple samples, thus identifying molecular and implied functional differences. Here we used SWATH-MS to analyze the proteome profiles of a set of fresh-frozen prostate tissue samples derived from radical prostatectomy specimens. A high confidence set of 1,906 proteins were consistently quantified across 60 biopsy-level tissue samples from three prostatectomy patients, each consisting of 1.0 mm punch biopsies from histologically malignant (acinar and ductal adenocarcinoma) and matching benign prostatic hyperplasia tissues. The quantitative protein profiles allowed independent quantification of the degree of intra-tumor heterogeneity for each protein in benign and malignant tissues. We found that while majority of the proteins showed comparably low intra-tumor variability, 122 proteins were highly variable in malignant and/or matching benign tissues. We observed that proteins that varied between patients or tissue types also tended to be highly variable within prostate tissues, suggesting that these variability patterns will be a critical selection criterion in future protein biomarker studies. The data also permitted investigation of the heterogeneity of multiple biochemical pathways. The high variability of several of the pathways, including Glypican-1 network, alpha-linolenic acid metabolism and celecoxib pathway, explained contradictory results regarding them in the literature. In conclusion, we demonstrated a methodology for investigating proteomic intra-tumor heterogeneity from biopsy-level tissue samples, and quantified the degree of intra-tumor heterogeneity of 1,906 proteins in prostate tumors. The method and data presented here have advanced our understanding of tumor biology and offered critical insights for future biomarker development.
2018-08-13 | PXD003497 | Pride
Project description:Pheochromocytomas and paragangliomas (PPGL) are rare neuroendocrine, usually benign tumors. Currently, for these neoplasms the only reliable criterion of malignancy is the presence of metastases. The aim of the present study was to identify molecular markers that can distinguish malignant from benign PPGL. An mRNA expression array was performed on 40 benign and 11 malignant PPGL. Genes showing a significantly different expression between benign and malignant PPGL with a ratio ? 4 were selected. Differentially expressed genes were confirmed by qRT-PCR and subsequently tested in an independent validation series (4 benign and 4 malignant) by qRT-PCR. Finally, immunohistochemistry was performed for the validated genes on Tissue Micro Arrays, which included 100 PPGL (87 benign and 13 malignant). Ten genes, which were significantly differentially expressed between benign and malignant tumors (False Discovery Rates <0.05), were selected from the mRNA expression array data. Differential expression of Interleukin 13 Receptor Alpha 2 and Contactin 4 was confirmed (p<0.05) and validated by qRT-PCR. However, at the protein level, only Contactin 4 appeared to be significantly overexpressed in malignant tumors (58% in malignant versus 17% in benign; p<0.05). No difference in the immunohistochemical staining for Interleukin 13 Receptor Alpha 2 was observed between benign and malignant PPGL. Contactin 4 expression appears to be associated with malignancy in pheochromocytomas and paragangliomas, and may be predictive of malignant behavior.
2015-03-20 | GSE67066 | GEO
Project description:Salivary gland myoepithelial tumors are relatively uncommon tumors with an unpredictable clinical course. More knowledge about their genetic profiles is necessary to identify novel predictors of disease. In this study, we subjected 27 primary tumors (15 myoepitheliomas and 12 myoepithelial carcinomas) to genome-wide microarray-based comparative genomic hybridization (array CGH). We set out to delineate known chromosomal aberrations in more detail and to unravel chromosomal differences between benign myoepitheliomas and myoepithelial carcinomas. Patterns of DNA copy number aberrations were analyzed by unsupervised hierarchical cluster analysis. Both benign and malignant tumors revealed a limited amount of chromosomal alterations (median of 5 and 7.5 respectively). In both tumor groups, high frequency gains (≥20%) were found mainly at loci of growth factors and growth factor receptors (e.g. PDGF, FGF(R)s, and EGFR). In myoepitheliomas, high frequency losses (≥20%) were detected at regions of proto-cadherins. Cluster analysis of the array CGH data identified three clusters. Differential copy numbers on chromosome arm 8q and chromosome 17 set the clusters apart. Cluster 1 contained a mixture of the two phenotypes (n=10), cluster 2 included mostly benign tumors (n=10), and cluster 3 only contained carcinomas (n=7). Supervised analysis between malignant and benign tumors revealed a 36 Mbp-region at 8q being more frequently gained in malignant tumors (p=0.007, FDR=0.05). This is the first study investigating genomic differences between benign and malignant myoepithelial tumors of the salivary glands at a genomic level. Both unsupervised and supervised analysis of the genomic profiles revealed chromosome arm 8q to be involved in the malignant phenotype of salivary gland myoepitheliomas.
2008-10-01 | GSE12951 | GEO
Project description:Microarray was used to find out the differentially expressed miRNAs in Pancreatic Ductal Adenocarcinoma as compared to healthy control. Resulting miRNAs could be further used to understand the disease as well as could act as secretory biomarker.
2019-12-17 | GSE140196 | GEO
Project description:The Homeobox (HOX) family of genes encodes transcription factors involved in basic developmental processes, most notably during embryogenesis. A possible HOX gene link between development and oncogenesis has recently been described. Dysregulation of HOX genes may be an early event in malignant transformation likely to induce antibody response and thus provide a potential marker for early diagnosis of cancer. Ovarian cancer is characterized by poor early detection and serves as an excellent model system to develop potential markers for early diagnosis. In this study we begin to characterize HOX gene expression in malignant tumors of the ovary and analyze the potential role of HOX genes as biomarkers for early detection of ovarian cancer. Microarray analysis of mRNA from human ovarian tissues was performed on 65 samples of normal, benign, borderline malignant and malignant ovarian tissue. These samples were analyzed using the Affymetrix Human Genome Focus GeneChip (HG-Focus) microarray to distinguish the differential pattern of mRNA expression between the four types of samples. Real-time reverse transcription PCR was utilized to confirm up-regulation of HOX genes as determined by microarray analysis. Our results demonstrate multiple HOX genes to be up-regulated in ovarian cancer. We have shown stepped increase in HOX expression comparing normal, benign neoplastic, and malignant human ovarian tissue samples. This suggests dysregulation of HOX genes may be an early event in malignant transformation and warrants additional studies to validate HOX gene products as potential markers for early detection of ovarian cancer. Experiment Overall Design: 67 samples were analyzed. 4 groupings based on pathology (normal, benign, borderline malignant, malignant). An average of normal samples was used as controls. Cell lines were used as ovarian cancer control samples.
2008-10-17 | E-GEOD-4122 | biostudies-arrayexpress
Project description:We profiled genome-wide gene expression of human prostate benign and malignant tissue to identify potential biomarkers and immunotherapy targets. We stratified malignant specimens according to their TMPRSS2:ERG gene fusion status.
2014-03-18 | GSE55945 | GEO
Project description:Methylation profiles of benign and malignant bone tumorus
| PRJNA489284 | ENA
Project description:We have compared the microsomal protein fractions from benign and malignant adrenocortical tumors. Protein extracts were trypsinized, peptides separated by HiRIEF (high resolution isoelectric focusing) and analysed by LC-MS.
2014-02-11 | PXD000604 | Pride
Project description:A number of melanoma specific genes were identified to differentiate clinical relevant tissue samples containing benign from malignant melanocytes. Keywords: disease state analysis
2005-08-25 | GSE3189 | GEO