Expression Profiles of Breast Tumors from Singapore and Europe
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ABSTRACT: To facilitate a better understanding of the molecular heterogeneity of breast cancer and to uncover gene-survival associations that segregate with distinct molecular subtypes, we recently compiled a meta-analytical database of over 2,000 human breast tumor expression profiles variously annotated for clinical and pathological variables and derived from various institutions worldwide. This database was utilized for the breast tumor study cited below: Nagalla, et. al., Genome Biology, 2013. While the majority of the tumor expression profiles included in this database derived from publicly accessible microarray repositories, a number of the samples had not been previously published. Here, we describe the origin of these samples and provide their associated clinical and pathological annotations with the hope that other investigators will be able to utilize these data in their own research. Breast tumor samples derived from the Institut Jules Bordet (IJB; Belgium), John Radcliffe Hospital (JRH; Oxford) and the National University Hospital (NUH, Singapore) were profiled on the Affymetrix U133A platform. The number of tumors profiled (n) and the corresponding dates of tumor diagnosis are as follows. IJB: n=41, 1994-2001; JRH: n=8, 1990-1993; and NUH: n=100, 2000-2002.
Project description:To facilitate a better understanding of the molecular heterogeneity of breast cancer and to uncover gene-survival associations that segregate with distinct molecular subtypes, we recently compiled a meta-analytical database of over 2,000 human breast tumor expression profiles variously annotated for clinical and pathological variables and derived from various institutions worldwide. This database was utilized for the breast tumor study cited below: Nagalla, et. al., Genome Biology, 2013. While the majority of the tumor expression profiles included in this database derived from publicly accessible microarray repositories, a number of the samples had not been previously published. Here, we describe the origin of these samples and provide their associated clinical and pathological annotations with the hope that other investigators will be able to utilize these data in their own research.
Project description:Frozen tissue specimens from primary breast tumors were collected under IRB-approved protocols from 2 medical centers and profiled using Affymetrix U133 series expression microarrays. This cohort comprises of two subcohorts derived from the Institute Jules Bordet (IJB), Brussels (n=41) (2002) and Guys Hospital, London (n=7) (2003). Dr. Christos Sotiriou (Institute Jules Bordet) directed the microarray work in Brussels. A publication describing the generation of these data is not yet available. However, these data can be used alongside other Affymetrix breast tumour data sets to form large meta-cohorts for breast cancer research, as was done in Lasham et. al. J Natl Cancer Inst. 2012 Jan 18;104(2):133-146. Frozen tumor tissues comprising of >60% tumor cellularity were extracted for total RNA and hybridized on Affymetrix microarrays. Clinical data was requested, but not provided by submitter
Project description:Frozen tissue specimens from primary breast tumors were collected under IRB-approved protocols from 2 medical centers and profiled using Affymetrix U133 series expression microarrays. This cohort comprises of two subcohorts derived from the Institute Jules Bordet (IJB), Brussels (n=41) (2002) and Guys Hospital, London (n=7) (2003). Dr. Christos Sotiriou (Institute Jules Bordet) directed the microarray work in Brussels. A publication describing the generation of these data is not yet available. However, these data can be used alongside other Affymetrix breast tumour data sets to form large meta-cohorts for breast cancer research, as was done in Lasham et. al. J Natl Cancer Inst. 2012 Jan 18;104(2):133-146.
Project description:Validation dataset of 298 ER-positive patients treated with tamoxifen for 5 years. All patients in this dataset have ER+ breast cancer and were uniformly treated with tamoxifen for 5 years. The objective of the study was to correlate levels of genomic markers to outcomes (relapse free survival) in this cohort of uniformly treated patients. Tissue samples were processed and profiled by two different labs (MD Anderson Cancer Center and Jules Bordet Institute).
Project description:Recovery of biological information (i.e. Breast tumor versus non-tumor part of breast) from microarray data under heterogeneous experimental conditions (Buffer1 versus Buffer2) using subgroup standardization. Microarray is a useful tool for gene expression analysis and prediction. For a given disease, a microarray database may come from various sources with different experimental setups, collected over time. This heterogeneity provides unnecessary complication in data analysis and, even worse, given false classification in clustering. Therefore, it is practically important to provide a standard data treatment for microarray data from heterogeneous experimental conditions. In this work, âsubgroup standardizationâ is proposed to compensate technical heterogeneities (e.g., buffers, time, machines etc.) in microarray experimental conditions. Provided with repetitive microarray experiments, over time and buffers, the results indicate that the proposed approach can extract correct biological information in the presence of technical irregularities. Hierarchical clustering is used to validate the effectiveness of the proposed approach. Experiment Overall Design: 98 of breast cancer specimens and 8 of non-tumor part of breast specimens were applied in the study. All the signals from the mRNA profile of each sample in the microarrays were normalized using the internal control RNA- Stratagene's human common reference RNA.
Project description:miRNA expression in breast cancer progression, from normal breast tissue to DCIS to subtype-specific invasive breast carcinomas. Two separate datasets are used, of which this is one. The other is also publicly available. These samples are collected at Akershus Univeristy Hospital, Norway, as part of a consecutive series and total RNA is extracted from snap-frozen biopsies.
Project description:Gene expression of tumor sample of mexican patients with breast cancer. Samples obtained from the Hospital San Jose Tec de Monterrey.
Project description:miRNAs expression of tumor sample of mexican patients with breast cancer. Samples obtained from the Hospital San Jose Tec de Monterrey.
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.
Project description:Comparison of concordance in single and multi-gene genomic indices from data generated by two different laboratories (MD Anderson Cancer Center (MDA) and Jules Bordet Institute (JBI)) and on two different Affymetrix platforms (U113A and U133_Plus2). We used a 2x2 factorial study in which 16 clinical breast cancer samples were profiled by both laboratories on both platforms (64 arrays total).