Homo sapiens
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA146361 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Genomic complexity in breast tumors has been associated with aggressive disease and less favorable outcome. Recently, we developed an algorithm to calculate complexity scores per chromosome arm in order to sub-classify breast tumors with respect to progression paths and prognosis. We have further developed this method to calculate probe-focused complexity scores per sample, enabling identification of regions with recurrent complexities and grouping of tumors according to genome-wide complexity patterns. Probe-focused complexity scores were calculated based on data derived from aCGH analyses of 394 invasive ductal breast carcinomas. These continuous complexity scores (CCI) were used to identify regions with recurrent high level complexity, and the regional complexity scores were correlated to clinicopathological variables and survival data. A total of 25 recurrent regions with high level complexity were identified. Regional complexities on chromosome arms 8p, 11q and 17q were each associated with clinical parameters associated with aggressive disease. Complexity patterns were different between tumors of different gene expression subtypes. Multivariate Cox analysis revealed that regional complexity on 17q21.32-q21.33 was significantly associated with shorter survival, independent of established clinical variables.
2014-05-21 | GSE32291 | GEO
Project description:Results When compared with each other, primary tumors and regional metastases showed statistically indistinguishable gene expression patterns. Supervised analyses comparing patients with distant metastases versus primary tumors or regional metastases showed that the distant metastases were distinct and distinguished by the lack of expression of fibroblast/mesenchymal genes, and by the high expression of a 13-gene profile (that is, the âvascular endothelial growth factor (VEGF) profileâ) that included VEGF, ANGPTL4, ADM and the monocarboxylic acid transporter SLC16A3. At least 8 out of 13 of these genes contained HIF1α binding sites, many are known to be HIF1α-regulated, and expression of the VEGF profile correlated with HIF1α IHC positivity. The VEGF profile also showed prognostic significance on tests of sets of patients with breast and lung cancer and glioblastomas, and was an independent predictor of outcomes in primary breast cancers when tested in models that contained other prognostic gene expression profiles and clinical variables. Conclusions These data identify a compact in vivo hypoxia signature that tends to be present in distant metastasis samples, and which portends a poor outcome in multiple tumor types. Microarrays and immunohistochemistry were used to analyze primary breast tumors, regional (lymph node) metastases, and distant metastases in order to identify biological features associated with distant metastases.
2009-03-31 | E-GEOD-3521 | biostudies-arrayexpress
Project description:Prognostic value of gene signatures and proliferation in lymph node negative breast cancer
| PRJNA200966 | ENA
Project description: Not available
| S-EPMC2531291 | biostudies-literature
Project description:RNA extracted at 240min. Samples are rRNA depleted. Expression measurement of Homo sapiens genes.
2019-07-31 | GSE114179 | GEO
Project description:Results When compared with each other, primary tumors and regional metastases showed statistically indistinguishable gene expression patterns. Supervised analyses comparing patients with distant metastases versus primary tumors or regional metastases showed that the distant metastases were distinct and distinguished by the lack of expression of fibroblast/mesenchymal genes, and by the high expression of a 13-gene profile (that is, the ‘vascular endothelial growth factor (VEGF) profile’) that included VEGF, ANGPTL4, ADM and the monocarboxylic acid transporter SLC16A3. At least 8 out of 13 of these genes contained HIF1α binding sites, many are known to be HIF1α-regulated, and expression of the VEGF profile correlated with HIF1α IHC positivity. The VEGF profile also showed prognostic significance on tests of sets of patients with breast and lung cancer and glioblastomas, and was an independent predictor of outcomes in primary breast cancers when tested in models that contained other prognostic gene expression profiles and clinical variables. Conclusions These data identify a compact in vivo hypoxia signature that tends to be present in distant metastasis samples, and which portends a poor outcome in multiple tumor types.
2009-03-31 | GSE3521 | GEO
Project description:Respective Prognostic Value of Genomic Grade and Histological Proliferation Markers in Early Stage (pN0) Breast Carcinoma
| PRJNA209040 | ENA
Project description: Not available
| S-EPMC4686780 | biostudies-literature
Project description: Not available
| S-EPMC3743458 | biostudies-literature
Project description:Gene expression profiling of immortalized human mesenchymal stem cells with hTERT/E6/E7 transfected MSCs. hTERT may change gene expression in MSCs. Goal was to determine the gene expressions of immortalized MSCs.
2010-09-25 | GSE24338 | GEO