Homo sapiens
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA98807 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project 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. Materials and methods: We have previously reported a gene-expression grade index (GGI) which defines histological grade based on gene expression profiles. Using this algorithm, we assigned ER-positive BC to either high or low genomic grade subgroups and compared these to previously reported ER-positive molecular classifications. As further validation, we classified 666 ER-positive samples into subtypes and assessed their clinical outcome. Results: Two ER-positive molecular subgroups (high and low genomic grade) could be defined using the GGI. Despite tracking a single biological pathway, these were highly comparable to the previously described luminal A and B classification and significantly correlated to the risk groups produced using the 21-gene recurrence score. The two subtypes were associated with statistically distinct clinical outcome in both systemically untreated and tamoxifen-treated populations. Conclusions: The use of genomic grade can identify two clinically distinct ER-positive molecular subtypes in a simple and highly reproducible manner across multiple datasets. This study emphasizes the important role of proliferation-related genes in predicting prognosis in ER-positive BC. Experiment Overall Design: dataset of microarray experiments from primary breast tumors used to assess the reationship between GGI, molecular subtypes, and tamoxifen resistance. Experiment Overall Design: No replicate, no reference sample.
2008-06-20 | E-GEOD-6532 | biostudies-arrayexpress
Project 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. Materials and methods: We have previously reported a gene-expression grade index (GGI) which defines histological grade based on gene expression profiles. Using this algorithm, we assigned ER-positive BC to either high or low genomic grade subgroups and compared these to previously reported ER-positive molecular classifications. As further validation, we classified 666 ER-positive samples into subtypes and assessed their clinical outcome. Results: Two ER-positive molecular subgroups (high and low genomic grade) could be defined using the GGI. Despite tracking a single biological pathway, these were highly comparable to the previously described luminal A and B classification and significantly correlated to the risk groups produced using the 21-gene recurrence score. The two subtypes were associated with statistically distinct clinical outcome in both systemically untreated and tamoxifen-treated populations. Conclusions: The use of genomic grade can identify two clinically distinct ER-positive molecular subtypes in a simple and highly reproducible manner across multiple datasets. This study emphasizes the important role of proliferation-related genes in predicting prognosis in ER-positive BC. Keywords: disease state analysis
2007-03-01 | GSE6532 | GEO
Project description:Analysis of 143 formalin-fixed, paraffin-embedded (FFPE) primary breast tumors using a Custom Breast Cancer Panel and Human Cancer Panel for the DASL platform. Molecular markers between the pathology defined subtypes of breast cancer were assessed to hypothesize potential therapeutic targets specific to the subtypes Molecular Characterization of 143 primary breast carcinomas including 101 triple negative (TN: ER-, PR-, HER2-), 3 HER2-positive (HER2+: ER-, PR-, HER2+), and 39 hormone receptor-positive (HR+: ER+ and/or PR+)
2009-10-23 | E-GEOD-18539 | biostudies-arrayexpress
Project description:Goal of this study was to investigate gene expression profiling across different molecular subtypes of breast cancers, such as Estrogen Receptor (ER) positive, HER2 amplified, Triple negative Basal A, Triple negative Basal B.
2022-08-29 | GSE212143 | GEO
Project description:We used a genome-wide approach (High-throughput sequencing of RNA isolated by crosslinking immunoprecipitation, or HITS-CLIP) to define direct miRNA-mRNA interactions in three breast cancer subtypes (estrogen receptor positive, Her2 amplified and triple negative). Focusing on steroid receptor signaling, we identified two novel regulators of the ER pathway (miR-9-5p and miR-193a/b-3p), which together target multiple genes involved in ER signaling. Moreover, this approach enabled the definition of miR-9-5p as a global regulator of steroid receptor signaling in breast cancer. Finally, we show that miRNA targets and networks defined by our analysis are predictive of patient outcomes and provide global insight into miRNA regulation in breast cancer. Argonaute HITS-CLIP on three representative breast cancer cell lines (each in triplicate).
2014-08-04 | E-GEOD-57855 | biostudies-arrayexpress
Project description:Microarrays have revolutionized breast cancer (BC) research by enabling studies of gene expression on a transcriptome-wide scale. Recently, RNA-Sequencing (RNA-Seq) has emerged as an alternative for precise readouts of the transcriptome. To date, no study has compared the ability of the two technologies to quantify clinically relevant individual genes and microarray-derived gene expression signatures (GES) in a set of BC samples encompassing the known molecular BC's subtypes. To accomplish this, the RNA from 57 BCs representing the four main molecular subtypes (triple negative, HER2 positive, luminal A, luminal B), was profiled with Affymetrix HG-U133 Plus 2.0 chips and sequenced using the Illumina HiSeq 2000 platform. The correlations of three clinically relevant BC genes, six molecular subtype classifiers, and a selection of 21 GES were evaluated. 58 tumors representing the different molecular subtypes [triple negative (ER-/PgR-/HER2-); HER2 positive (HER2+); luminal A (ER+/HER2-/histological grade 1), luminal B (ER+/HER2-/histological grade 3)] were obtained from patients recruited between 2007 and 2011 at the Institut Jules Bordet. RNA was profiled using the Affymetrix HG-U133 Plus 2.0 chips and sequenced on the Illumina platform, producing ~30 million 50 bp paired-end reads per sample. The reads alignment and expression quantification were performed using the Tophat/Cufflinks pipeline and the Ensembl genome version hg19. The Affymetrix microarray data were normalized using fRMA and probesets were selected based on the JetSet reannotation package. This submission represents the gene expression component of the study only.
2014-11-21 | E-GEOD-43358 | biostudies-arrayexpress
Project description:We performed single cell RNA sequencing (RNA-seq) for 549 primary breast cancer cells and lymph node metastases from 11 patients with distinct molecular subtypes (BC01-BC02, estrogen receptor positive (ER+); BC03, double positive (ER+ and HER2+); BC03LN, lymph node metastasis of BC03; BC04-BC06, human epidermal growth factor receptor 2 positive (HER2+); BC07-BC11, triple-negative breast cancer (TNBC); BC07LN, lymph node metastasis of BC07) and matched bulk tumors. We separated these single cells into epithelial tumor and tumor-infiltrating immune cells using inferred CNVs from RNA-seq. The refined single cell profiles for the tumor and immune cells provide key expression signatures of breast cancer and the surrounding microenvironment.
2016-12-09 | GSE75688 | GEO
Project description:STMN1 is is a highly conserved 18 KDa cytosolic phosphoprotein, involved in the control of cell proliferation, differentiation, motility, clonogenicity and survival. Over-expression of STMN1 has been shown to be a marker of poor outcome in nasopharyngeal, ovarian, estrogen receptor positive tamoxifen treated early breast and oral squamous cell carcinomas. Limited studies have shown overexpression of STMN1 in higher grade localized prostate cancers; however its association with outcome and metastatic disease is unclear. Here, we investigate role and regulation of STMN1 during prostate cancer progression.
2018-06-30 | GSE96523 | GEO
Project description:Title: CAMK1D amplification implicated in epithelial-mesenchymal transition in basal-like breast cancer Summary: Breast cancer exhibits clinical and molecular heterogeneity, where expression-profiling studies have identified five major molecular subtypes. The basal-like subtype, expressing basal epithelial markers and negative for estrogen receptor (ER), progesterone receptor (PR) and HER2, is associated with higher overall levels of DNA copy number alteration (CNA), specific CNAs (like gain on chromosome 10p), and poor prognosis. Discovering the molecular genetic basis of tumor subtypes may provide new opportunities for therapy. To identify the driver oncogene on 10p associated with basal-like tumors, we analyzed genomic profiles of 172 breast carcinomas. The smallest shared region of gain spanned just seven genes at 10p13, including calcium/calmodulin-dependent protein kinase ID (CAMK1D), functioning in intracellular signaling but not previously linked to cancer. By microarray, CAMK1D was overexpressed when amplified, and by immunohistochemistry exhibited elevated expression in invasive carcinomas compared to carcinoma in situ. Engineered overexpression of CAMK1D in non-tumorigenic breast epithelial cells led to increased cell proliferation, and molecular and phenotypic alterations indicative of epithelial-mesenchymal transition (EMT), including loss of cell-cell adhesions and increased cell migration and invasion. Our findings identify CAMK1D as a novel amplified oncogene linked to EMT in breast cancer, and as a potential therapeutic target with particular relevance to clinically unfavorable basal-like tumors.
2009-09-08 | GSE12811 | GEO
Project description:Title: CAMK1D amplification implicated in epithelial-mesenchymal transition in basal-like breast cancer Summary: Breast cancer exhibits clinical and molecular heterogeneity, where expression-profiling studies have identified five major molecular subtypes. The basal-like subtype, expressing basal epithelial markers and negative for estrogen receptor (ER), progesterone receptor (PR) and HER2, is associated with higher overall levels of DNA copy number alteration (CNA), specific CNAs (like gain on chromosome 10p), and poor prognosis. Discovering the molecular genetic basis of tumor subtypes may provide new opportunities for therapy. To identify the driver oncogene on 10p associated with basal-like tumors, we analyzed genomic profiles of 172 breast carcinomas. The smallest shared region of gain spanned just seven genes at 10p13, including calcium/calmodulin-dependent protein kinase ID (CAMK1D), functioning in intracellular signaling but not previously linked to cancer. By microarray, CAMK1D was overexpressed when amplified, and by immunohistochemistry exhibited elevated expression in invasive carcinomas compared to carcinoma in situ. Engineered overexpression of CAMK1D in non-tumorigenic breast epithelial cells led to increased cell proliferation, and molecular and phenotypic alterations indicative of epithelial-mesenchymal transition (EMT), including loss of cell-cell adhesions and increased cell migration and invasion. Our findings identify CAMK1D as a novel amplified oncogene linked to EMT in breast cancer, and as a potential therapeutic target with particular relevance to clinically unfavorable basal-like tumors.
2009-09-08 | GSE12813 | GEO