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GSE9899
Homo sapiens
292 Downloadable Samples
Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
Novel molecular subtypes of serous and endometrioid ovarian cancer linked to clinical outcome.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 282 Downloadable Samples
Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
We used microarrays to profile the expression levels of 285 ovarian samples in order to identify molecular subtypes of the tumour
Publication Title
Novel molecular subtypes of serous and endometrioid ovarian cancer linked to clinical outcome.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 83 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Expression profile of 30 LMP tumours and 60 Serous tumours were compared to identify the biolgical pathways specific to these groups. Genotyping was done to identify the mutations potentially causing these phenotypes
Publication Title
Mutation of ERBB2 provides a novel alternative mechanism for the ubiquitous activation of RAS-MAPK in ovarian serous low malignant potential tumors.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 10 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
We used microarrays to profile the expression levels of 5 tumour samples
Publication Title
Novel molecular subtypes of serous and endometrioid ovarian cancer linked to clinical outcome.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 8 Downloadable Samples
- Affymetrix Human Gene 1.0 ST Array (hugene10st)
Description
We used unsupervised hierarchical clustering to analyse expression in primary ovarian tumors and associated abdominal deposits. GeneGo pathway analysis of differentially expressed genes between primary tumors and deposits revealed 4 of the top 10 pathways related to cytoskeleton remodeling and cell adhesion.
Publication Title
LRP1B deletion in high-grade serous ovarian cancers is associated with acquired chemotherapy resistance to liposomal doxorubicin.
Sample Metadata Fields
Sex, Specimen part, Subject
View Samples- Homo sapiens
- 49 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Expression profiling of Xenografts of Hepatocellular Carcinoma
Publication Title
Bevacizumab and rapamycin induce growth suppression in mouse models of hepatocellular carcinoma.
Sample Metadata Fields
Specimen part
View Samples- Homo sapiens
- 737 Downloadable Samples
- Affymetrix Human Genome U133A Array (hgu133a)
Description
Purpose: A number of microarray studies have reported distinct molecular profiles of breast cancers (BC): basal-like, ErbB2-like and two to three luminal-like subtypes. These were associated with different clinical outcomes. However, although the basal and the ErbB2 subtypes are repeatedly recognized, identification of estrogen receptor (ER)-positive subtypes has been inconsistent. Refinement of their molecular definition is therefore needed.
Publication Title
Definition of clinically distinct molecular subtypes in estrogen receptor-positive breast carcinomas through genomic grade.
Sample Metadata Fields
Age, Disease stage
View Samples- Homo sapiens
- 108 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
DNA methylation profiling reveals a predominant immune component in breast cancers.
Sample Metadata Fields
Specimen part, Disease stage, Cell line, Treatment
View Samples- Homo sapiens
- 197 Downloadable Samples
- Affymetrix Human Genome U133A Array (hgu133a)
Description
Background: Recently a 76-gene prognostic signature able to predict distant metastases in lymph node-negative (N-) breast cancer patients was reported. The aims of this study conducted by TRANSBIG were to independently validate these results and to compare the outcome with clinical risk assessment. Materials and Methods: Gene expression profiling of frozen samples from 198 N- systemically untreated patients was performed at the Bordet Institute, blinded to clinical data and independent of Veridex. Genomic risk was defined by Veridex, blinded to clinical data. Survival analyses, done by an independent statistician, were performed with the genomic risk and adjusted for the clinical risk, defined by Adjuvant!Online. Results: The actual 5- and 10-year time to distant metastasis (TDM) were 98% (88%-100%) and 94% (83%-98%) respectively for the good profile group and 76% (68%- 82%) and 73% (65%-79%) for the poor profile group. The actual 5- and 10-year overall survival (OS) were 98% (88%-100%) and 87% (73%-94%) respectively for the good profile group and 84% (77%-89%) and 72% (63%-78%) for the poor profile group. We observed a strong time-dependency of this signature, leading to an adjusted HR of 13.58 (1.85-99.63) and 8.20 (1.10-60.90) at 5 years, and 5.11 (1.57-16.67) and 2.55 (1.07-6.10) at 10 years for TDM and OS respectively. Conclusion: This independent validation confirmed the performance of the 76-gene signature and adds to the growing evidence that gene expression signatures are of clinical relevance, especially for identifying patients at high risk of early distant metastases.
Publication Title
Strong time dependence of the 76-gene prognostic signature for node-negative breast cancer patients in the TRANSBIG multicenter independent validation series.
Sample Metadata Fields
Age, Disease stage
View Samples- Homo sapiens
- 185 Downloadable Samples
- Affymetrix Human Genome U133A Array (hgu133a)
Description
Background: Histologic grade in breast cancer provides clinically important prognostic information. However, 30%-60% of tumors are classified as histologic grade 2. This grade is associated with an intermediate risk of recurrence and is thus not informative for clinical decision making. We examined whether histologic grade was associated with gene expression profi les of breast cancers and whether such profi les could be used to improve histologic grading.
Publication Title
Gene expression profiling in breast cancer: understanding the molecular basis of histologic grade to improve prognosis.
Sample Metadata Fields
Age, Disease stage
View Samples