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.
A gene expression signature identifies two prognostic subgroups of basal breast cancer.
Age, Specimen part
View SamplesThis SuperSeries is composed of the SubSeries listed below.
Gene copy number aberrations are associated with survival in histologic subgroups of non-small cell lung cancer.
Specimen part
View SamplesHypothesis: Non-small cell lung cancer (NSCLC) is characterized by a multitude of genetic aberrations with unknown clinical impact. In this study, we aimed to identify gene copy number changes that correlate with clinical outcome in NSCLC. To maximize the chance to identify clinically relevant events, we applied a strategy involving two prognostically extreme patient groups.
Gene copy number aberrations are associated with survival in histologic subgroups of non-small cell lung cancer.
Specimen part
View SamplesThe cerebral cortex underwent a rapid expansion and complexification during recent primate evolution, but the underlying developmental mechanisms remain essentially unknown.
Genes expressed in specific areas of the human fetal cerebral cortex display distinct patterns of evolution.
Age, Specimen part
View SamplesThe delicate interaction between cancer cells and the surrounding stroma plays an essential role in all stages of tumourigenesis. Despite the significance of this interplay, alterations in protein composition underlying tumour-stroma interactions are largely unknown. The aim of this study was to identify stromal proteins with clinical relevance in non-small cell lung cancer.
CD99 is a novel prognostic stromal marker in non-small cell lung cancer.
Specimen part, Subject
View SamplesAnalysis of HeLa cells following depletion of BRCA1 tumor supressor using RNAi against BRCA1. Results provide insight into the molecular mechanisms underlying loss of the BRCA1 function.
BRCA1 represses amphiregulin gene expression.
Treatment
View SamplesSaturated fatty acids (SFA) are widely thought to induce inflammation in adipose tissue (AT), while monounsaturated fatty acids (MUFA) are purported to have the opposite effect; however, it is unclear if individual SFA and MUFA behave similarly. Our goal was to examine adipocyte transcriptional networks regulated by individual SFA (palmitic acid, PA; stearic acid, SA) and MUFA (palmitoleic acid, PMA; oleic acid, OA).
Individual saturated and monounsaturated fatty acids trigger distinct transcriptional networks in differentiated 3T3-L1 preadipocytes.
Specimen part
View SamplesComparison of gene expression profile between an 96 day human retina and photoreceptors present around the same time.
Generation, purification and transplantation of photoreceptors derived from human induced pluripotent stem cells.
Specimen part
View SamplesWhole blood (paxgene) gene expression was measured using Affymetrix microarray from 377 individuals with rheumatoid arthritis.
Integrative genomic deconvolution of rheumatoid arthritis GWAS loci into gene and cell type associations.
Sex, Age, Specimen part, Disease
View SamplesIn comparing gene expression of normal and CML CD34+ quiescent (G0) and proliferating (G1/S/G2/M) cells, 292 genes were down-regulated and 192 genes were up-regulated in the CML G0 cells. The differentially expressed genes were grouped according to their reported functions and correlations were sought with biological differences previously observed between the same groups. The most apparent correlations include: i) Normal and CML G0 cells are more primitive than G1/S/G2/M cells; ii) CML G0 cells are in a more advanced stage of development and more poised to begin proliferating than normal G0 cells; iii) When CML G0 cells are stimulated to proliferate, they undergo further differentiation and maturation more rapidly than normal G0 cells, but both granulopoiesis and erythropoiesis are less efficient than normal; iv) Whereas normal G0 cells form only granulocyte/monocyte (GM) colonies when stimulated by cytokines, CML G0 cells consistently form a combination of GM and erythroid clusters and colonies; and v) Prominin-1 (CD133) is the gene most down-regulated in CML G0 cells and its down-regulation appears to be associated with the spontaneous formation of erythroid colonies by CML progenitors without EPO. The gene most over-expressed in CML G0 cells is LepR, but its role in contributing to the myeloid expansion and other abnormalities is unknown. It was hoped that LepR might serve as a therapeutic target, but leptin had no stimulatory or inhibitory effect on either normal or CML G0 cells, our attempts to make a specific LepR antibody were unsuccessful, and no other potentially targetable over-expressed surface antigens were identified.
Gene Expression Differences between Enriched Normal and Chronic Myelogenous Leukemia Quiescent Stem/Progenitor Cells and Correlations with Biological Abnormalities.
Specimen part, Disease, Disease stage
View Samples