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Homo sapiens
197 Downloadable Samples
Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Inflammatory breast cancer (IBC) is an aggressive form of BC poorly defined at the molecular level. We compared the molecular portraits of 63 IBC and 134 non-IBC (nIBC) clinical samples. Genomic imbalances of 49 IBCs and 124 nIBCs were determined using high-resolution array-comparative genomic hybridization, and mRNA expression profiles of 197 samples using whole-genome microarrays. Genomic profiles of IBCs were as heterogeneous as those of nIBCs, and globally relatively close. However, IBCs showed more frequent complex patterns and a higher percentage of genes with CNAs per sample. The number of altered regions was similar in both types, although some regions were altered more frequently and/or with higher amplitude in IBCs. Many genes were similarly altered in both types; however, more genes displayed recurrent amplifications in IBCs.
Publication Title
High-resolution comparative genomic hybridization of inflammatory breast cancer and identification of candidate genes.
Sample Metadata Fields
Age
View Samples- Homo sapiens
- 339 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
ECRG4 is a promising tumor suppressor gene (TSG) recently identified in esophageal carcinoma. Its expression and prognostic value have never been explored in breast cancer. Using DNA microarray, we examined ECRG4 mRNA expression in 353 invasive breast cancer samples. A meta-analysis was performed on a large public retrospective gene expression dataset (n=1,387) to analyze correlation between ECRG4 expression and histo-clinical features including survival.
Publication Title
Down-regulation of ECRG4, a candidate tumor suppressor gene, in human breast cancer.
Sample Metadata Fields
Age, Specimen part
View Samples- Homo sapiens
- 265 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Medullary breast cancers (MBC) display a basal profile, but a favorable prognosis. We hypothesized that a previously published 368-gene expression signature associated with MBC might serve to define a prognostic classifier in basal cancers. We collected public gene expression and histoclinical data of 2145 invasive early breast adenocarcinomas. We developed a Support Vector Machine (SVM) classifier based on this 368-gene list in a learning set, and tested its predictive performances in an independent validation set. Then, we assessed its prognostic value and that of six prognostic signatures for disease-free survival (DFS) in the remaining 2034 samples. The SVM model accurately classified all MBC samples in the learning and validation sets. A total of 466 cases were basal across other sets. The SVM classifier separated them into two subgroups, subgroup 1 (resembling MBC) and subgroup 2 (not resembling MBC). Subgroup 1 exhibited 71% 5-year DFS, whereas subgroup 2 exhibited 50% (p=9.93E-05). The classifier outperformed the classical prognostic variables in multivariate analysis, conferring lesser risk for relapse in subgroup 1 (HR=0.52, p=3.9E-04). This prognostic value was specific to the basal subtype, in which none of the other prognostic signatures was informative.
Publication Title
A gene expression signature identifies two prognostic subgroups of basal breast cancer.
Sample Metadata Fields
Age, Specimen part
View Samples- Homo sapiens
- 128 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Colorectal cancer is one of the most common cancers in the world. Histological staging is efficient but combination with molecular markers may improve tumors classification. Gene expression profiles have been defined as prognosis predictors among stage II and III tumors but their implementation in medical practice remains controversial. Stage-II tumors have been recognized as a heterogeneous group and high-risk morphologic features have been retained as justifying adjuvant chemotherapy. We propose here the investigation of clinical features and expression profiles from stage II and stage III colon carcinomas without DNA mismatch repair defect. A series of 130 colon cancer samples was retained. Expression profiles were established on oligonucleotide microarrays and processed in the R/Bioconductor environment. Hierarchical then supervised analyses were successively performed applying the data-sampling approach. A molecular signature of seven genes was found to cluster stage III tumors with an adjusted p-values lower than 10^-10. A subgroup of stage-II tumors aggregated this cluster in both series. No correlation was found between with the disease severity but the function of the discriminating genes suggests that tumors have been classified according to their putative response to adjuvant targeted or classic therapies. Further pharmacogenetic studies might document this observation.
Publication Title
A seven-gene signature aggregates a subgroup of stage II colon cancers with stage III.
Sample Metadata Fields
Sex, Age, Specimen part
View Samples- Homo sapiens
- 55 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
15-25% of breast cancers (BC) show ERBB2-amplification and overexpression of the encoded ERBB2 tyrosine kinase receptor. They are associated with a poor prognosis but can benefit from targeted therapy. A better knowledge of these BCs may help understand their behavior and design new therapeutic strategies. In this study, we defined the high resolution genome and gene expression profiles of 54 ERBB2-amplified BCs using 244K oligonucleotide array-comparative genomic hybridization and whole-genome DNA microarrays. We first identified the ERBB2-C17orf37-GRB7 genomic segment as the minimal common amplicon, and CRKRS and IKZF3 as the most frequent centromeric and telomeric amplicon borders, respectively. Second, we identified 17 genome regions affected by copy number aberration (CNA). The expression of 37 genes of these regions was deregulated. Third, two types of heterogeneity were observed in ERBB2-amplified BCs. The genomic profiles of estrogen receptor-postive (ER+) and negative (ER-) ERBB2-amplified BCs were different. The WNT/-catenin signaling pathway was involved in ER- ERBB2-amplified BCs, and PVT1 and TRPS1 were candidate oncogenes associated with ER+ ERBB2-amplified BCs. The size of the ERBB2-amplicon was different in inflammatory (IBC) and non inflammatory BCs. ERBB2-amplified IBCs were characterized by the downregulated and upregulated mRNA expression of ten and two genes in proportion to CNA, respectively. We have shown that ERBB2 BCs are heterogeneous and identified genomic features that may be useful in the design of therapeutical strategies
Publication Title
Genome profiling of ERBB2-amplified breast cancers.
Sample Metadata Fields
No sample metadata fields
View Samples
GSE26906- Homo sapiens
- 90 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Analysis of expression profiles in stage II colon cancer according to the APC gene status
Publication Title
Expression Profiles in Stage II Colon Cancer According to APC Gene Status.
Sample Metadata Fields
Sex, Age, Specimen part
View Samples- Homo sapiens
- 73 Downloadable Samples
- Affymetrix Human Genome U133A 2.0 Array (hgu133a2)
Description
Previous reports suggest that outcome of cHL patients may be related to the tumor microenvironment, which in turn may be influenced by EBV infection. Gene profiling was used for further characterize the cHL microenvironment. A training set of 73 cHL tissue samples was profiled using Affymetrix DNA microarrays. Supervised analysis provided a gene signature separating EBV+ from EBV- cHL tissues, including genes characteristic of Th1 and antiviral response. Samples from patients with favourable outcome significantly overexpressed genes involved in the function of B-cells and plasmacytoid dendritic cells (pDCs), like BCL11A. A validation set of 146 cHL samples was analyzed using immunohistochemistry (IHC).
Publication Title
Molecular profiling of classical Hodgkin lymphoma tissues uncovers variations in the tumor microenvironment and correlations with EBV infection and outcome.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 5 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Metastasis is a complex process involving loss of adhesion, migration, invasion and proliferation of cancer cells. Cell adhesion molecules play a pivotal role in this phenomenon by regulating cell-cell and cell-matrix interactions. CD146 (MCAM) is associated with advanced tumor stage in melanoma, prostate and ovarian cancers.
Publication Title
CD146 expression is associated with a poor prognosis in human breast tumors and with enhanced motility in breast cancer cell lines.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 4 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Masitinib is a tyrosine kinase inhibitor of c-Kit, PDGFR and , and to some extent Lyn of the Src kinase family. We evaluated the therapeutic potential of masitinib in vitro on human pancreatic tumour cell lines and in vivo in a mouse model of human pancreatic cancer.
Publication Title
Masitinib combined with standard gemcitabine chemotherapy: in vitro and in vivo studies in human pancreatic tumour cell lines and ectopic mouse model.
Sample Metadata Fields
Specimen part, Cell line, Treatment
View Samples- Mus musculus
- 4 Downloadable Samples
- Affymetrix Mouse Genome 430 2.0 Array (mouse4302)
Description
Most adult patients have a D816V mutation in phosphotransferase domain (PTD), we have described that half of the children carry mutations in extracellular domain (ECD). KIT-ECD versus IT-PTD-mutants were introduced into rodent Ba/F3, EML, Rat2 and human TF1 cells to investigate their biological effect. ECD- and PTD-mutants also displayed distinct whole-genome transcriptional profiles in EML cells. We observed differences in their signaling properties: they both activated STAT pathways, whereas AKT pathway was only activated by ECD-mutants. Consistently, AKT inhibitor suppressed ECD-mutant-dependent proliferation, clonogenicity and erythroid differentiation. Expression of myristoylated AKT restored erythroid differentiation in EMLPTD cells, suggesting the differential role of AKT in those mutants. Overall, our study implied different pathogenesis of pediatric versus adult mastocytosis, which might explain their diverse phenotypes.
Publication Title
Pediatric mastocytosis-associated KIT extracellular domain mutations exhibit different functional and signaling properties compared with KIT-phosphotransferase domain mutations.
Sample Metadata Fields
Cell line, Time
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