Investigating the altered brain metastatic transcriptome in breast cancer
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PROVIDER: PRJNA726554 | ENA |
REPOSITORIES: ENA
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Project description:Investigating the altered brain metastatic transcriptome in breast cancer
| PRJNA766683 | ENA
Project description:Brain metastatic disease occurs in 10-30% of metastatic breast cancer cases. The incidence of brain metastases is increasing with median overall survival < 2 years for patients. In order to better characterize oncogenic pathway activity pertinent to breast cancer brain metastasis, exome capture RNA sequencing was carried out on patient matched primary breast with brain metastatic tumor samples for 45 cases of breast cancer brain metastasis (N= 90 samples). Here, exome capture RNA sequencing data is deposited as sequencing batch corrected log2 transformed trimmed M of means (TMM) normalized counts per million (CPM) (log2(TMM-CPM +1) gene expression values (n=16,714 protein coding genes; N=90 tumor samples).
2022-04-01 | GSE173661 | GEO
Project description:Brain metastatic disease occurs in 10-30% of metastatic breast cancer cases. The incidence of brain metastases is increasing with median overall survival < 2 years for patients. In order to better characterize oncogenic pathway activity pertinent to breast cancer brain metastasis, exome capture RNA sequencing was carried out on patient matched primary breast with brain metastatic tumor samples for 45 cases of breast cancer brain metastasis (N= 90 samples). Here, exome capture RNA sequencing data is deposited as sequencing batch corrected log2 transformed trimmed M of means (TMM) normalized counts per million (CPM) (log2(TMM-CPM +1) gene expression values (n=16,714 protein coding genes; N=90 tumor samples).
2021-11-12 | GSE184869 | GEO
Project description:This SuperSeries is composed of the following subset Series: GSE14682: Metastatic breast cancer to the brain: set 1 GSE14683: Metastatic breast cancer to the brain: set 2 Refer to individual Series
2010-06-24 | E-GEOD-14690 | biostudies-arrayexpress
Project description:Brain metastasis is one of the lethal causes of breast cancer. Here we identified an altered lipid metabolism state to be associated with brain metastatic potential of breast cancer cell lines. To investigate the mechanism, we knocked out genes mediating this altered state and examined transcriptomic changes. The results revealed that these genes confer cells a state with increased lipid and cholesterol biosynthesis and that resembles the lipid metabolite state seen in the brain. These findings revealed an unappreciated machinery that cancer cells adopt for their increased adaptability to the brain microenvironment.
2020-06-26 | GSE148372 | GEO
Project description:Background: Metastases to the brain from breast cancer have a high mortality. Basal-like and HER2 positive breast cancers appear to have a high propensity to spread to the brain. The mechanisms that allow cells to colonise the brain are unclear. Methods: We have analysed matched and unpaired samples of breast cancer and brain metastases using morphology, immunophenotype and expression profiling and validated the data using in vitro cell culturing models and in vivo mice model. Results: Most of the brain metastases were triple negative and had a basal-like phenotype. Metastatic cells to the brain over-expressed HER3 compared to primaries and showed evidence of higher activation of the MAPK pathways. Inhibition using anti-neuregulin antibody, Herceptin and Lapatinib reduced tumour growth in vitro and in vivo. Conclusions: The data demonstrate activation of neuregulin-HER3 pathway in brain metastases from breast cancer and suggest that even in absence of HER2 amplification (as with triple negative and basal cancers), anti-epidermal growth factor receptor family inhibitors may have a role in treating these patients.
2009-02-11 | GSE14683 | GEO
Project description:Background: Metastases to the brain from breast cancer have a high mortality. Basal-like and HER2 positive breast cancers appear to have a high propensity to spread to the brain. The mechanisms that allow cells to colonise the brain are unclear. Methods: We have analysed matched and unpaired samples of breast cancer and brain metastases using morphology, immunophenotype and expression profiling and validated the data using in vitro cell culturing models and in vivo mice model. Results: Most of the brain metastases were triple negative and had a basal-like phenotype. Metastatic cells to the brain over-expressed HER3 compared to primaries and showed evidence of higher activation of the MAPK pathways. Inhibition using anti-neuregulin antibody, Herceptin and Lapatinib reduced tumour growth in vitro and in vivo. Conclusions: The data demonstrate activation of neuregulin-HER3 pathway in brain metastases from breast cancer and suggest that even in absence of HER2 amplification (as with triple negative and basal cancers), anti-epidermal growth factor receptor family inhibitors may have a role in treating these patients
2009-02-11 | GSE14682 | GEO
Project description:Introduction: The prognosis for patients with breast tumor metastases to brain is extremely poor. Identification of prognostic molecular markers of the metastatic process is critical for designing therapeutic modalities for reducing the occurrence of metastasis. Although ubiquitously present in most human organs, calcium-activated potassium (BK) channel is significantly upregulated in breast cancer cells. In this study we investigated the role of KCNMA1 gene, which encodes α subunit of KCa channels (BK channels) in breast cancer metastasis and invasion. Methods: We performed Global exon array to study the expression of KCNMA1 in metastatic breast cancer in brain, compared its expression in primary breast cancer and breast cancers metastatic to other organs, and validated the findings by RT-PCR. Immunohistochemistry was performed to study the expression and localization of α subunit of KCa channel protein in primary and metastatic breast cancer tissues and breast cancer cell lines. We performed matrigel invasion, transendothelial migration and membrane potential assays in established lines of normal breast cells (MCF-10A), non-metastatic breast cancer (MCF-7), non-brain metastatic breast cancer cells (MDA-MB-231), and brain-specific metastatic breast cancer cells (MDA-MB-361) to study whether KCa channel inhibition attenuates breast tumor invasion and metastasis using KCNMA1 knockdown with siRNA and biochemical inhibition with IBTX (Iberiotoxin). Results: The Global exon array and RT-PCR showed higher KCNMA1 expression in metastatic breast cancer in brain compared to metastatic breast cancers in other organs. Our results clearly show that metastatic breast cancer cells exhibit increased BK channel activity, leading to greater invasiveness and transendothelial migration, both of which could be attenuated by blocking KCNMA1. Conclusion: Determining the relative abundance of BK channel over expression in breast cancer metastatic to brain and the mechanism of its action in brain metastasis will provide a unique opportunity to identify and differentiate between low grade breast tumors that are at high risk for metastasis from those at low risk for metastasis. This distinction would in turn allow for the appropriate and efficient application of effective treatments while sparing patients with low risk for metastasis from the toxic side effects of chemotherapy.
2009-09-09 | GSE17019 | GEO
Project description:This is a genomic analysis of breast cancer metastasis using array based CGH and is part of a large study investigating the patterns and evolution of metastases from breast cancer using autopsy material accumulated over the last 50 years from a single institution. The samples used in the genomic profiling comprise the primary breast tumour and multiple matched metastases from each patient. The data demonstrate both the clonal nature of metastatic progression and the role of clonal evolution during progression. This study comprises six patients who died of metastatic breast cancer. For some patients the breast primary tumour and lymph node metastasis was obtained from previous surgical excision, otherwise material was obtained from a resulting autopsy. Each patient set of samples involves the primary breast tumour and multiple metastases, including from lung, liver, lymph node, adrenal gland, brain etc. DNA was extracted from formalin fixed paraffin embedded (FFPE) tissue blocks and analysed for DNA copy number alterations using an Agilent aCGH platform.
2013-11-11 | E-GEOD-46826 | biostudies-arrayexpress
Project description:Background: Metastases to the brain from breast cancer have a high mortality. Basal-like and HER2 positive breast cancers appear to have a high propensity to spread to the brain. The mechanisms that allow cells to colonise the brain are unclear. Methods: We have analysed matched and unpaired samples of breast cancer and brain metastases using morphology, immunophenotype and expression profiling and validated the data using in vitro cell culturing models and in vivo mice model. Results: Most of the brain metastases were triple negative and had a basal-like phenotype. Metastatic cells to the brain over-expressed HER3 compared to primaries and showed evidence of higher activation of the MAPK pathways. Inhibition using anti-neuregulin antibody, Herceptin and Lapatinib reduced tumour growth in vitro and in vivo. Conclusions: The data demonstrate activation of neuregulin-HER3 pathway in brain metastases from breast cancer and suggest that even in absence of HER2 amplification (as with triple negative and basal cancers), anti-epidermal growth factor receptor family inhibitors may have a role in treating these patients An initial set of 29 matched pairs of primary breast cancer and their brain metastases and 22 unmatched brain metastases of from breast cancer was were available as formalin fixed-paraffin embedded (FFPE) tumor blocks. A second set of validation samples comprisinged of 10 matched pairs of primary breast cancer and their corresponding brain metastases and a further 11 non-breast metastatic brain cancers tumours fromn non-breast sites (one melanoma, six lung adenocarcinomas, one prostate carcinoma, one colon carcinoma and two renal cell carcinomas was also studied. After filtering DASL data on the first set of samples, 15/29 matched pairs and 22/22 unmatched metastases remained available for analysis for the initial set. In the second set all samples were analysed. RNA extraction and Real-Time RT-PCR Three 5μm thick FFPE sections of clinical samples, parental cell line MB-MDA-231 cell line (fixed in paraformoldehyde and embedded in paraffin) and intracranial mouse tumours were cut and de-waxed in two lots of xylene and two lots of 100% ethanol, 10 minutes each. RNA was extracted using the High Pure RNA Paraffin Kit® (Roche Applied Science, Mannheim, Germany) according to the manufacturerâs protocol. RNA was quantified using the NanoDrop® ND-1000 (NanoDrop Technologies, DE, USA). RT-PCR for HER3 and housekeeping genes GAPDH and RPL13a was carried out using the Rotor-gene system (Corbett Life Science, Australia). Complementary DNA (cDNA) was synthesized from 240ng of total RNA using oligodT16 primers and the SuperScriptTM III Reverse Transcriptase kit (Invitrogen, Carsbald, CA, USA). A standard curve for gene expression of HER3 and GAPDH and RPL13a was constructed using total RNA from a human breast cancer cell line (SKBR-3). Replicates of 10-fold dilutions of RNA in water were made to give 3 different calibrators, each with a known amount of SKBR-3 RNA for which arbitrary copy number were given. The PCR conditions were: 50°C for 2 minutes, 95°C for 2 minutes, followed by 40 cycles with the following profile: denaturation at 95°C for 20 seconds, annealing at 60°C for 15 seconds, extension at 72°C for 20 seconds. Flourescent incorporation was acquired in the green channel during the 72°C incubations. Intron spanning primer sequences were: GAPDH (5âCTGCACCACCAACTGCTTAG3â, 5âGTCTTCTGGGTGGCA GTGAT3â), RPL13a (5âGTTGGTGTTCATCCGTTG3â, 5âGTACGCTGTGAAGCATCAA3â), HER3 (5âTGGTTCATGGGCATGTATCC3â, 5âCTAGACCTAAGACTTGGAGC3â). DASL gene expression profilingGene expression profiling was performed using the DASL assay (cDNA-mediated annealing, selection extension and ligation, Illumina Inc., California, USA) interrogating the DASL Cancer Panel that contained 512 cancer related genes. The first and second sets of samples were analyzed in two independent experiments. Tumours arising from the animal experiment were analyzed in conjunction with the second set of clinical samples. All protocols were as specified by Illumina Inc. Briefly, RNA (250ng) was converted to cDNA through a reverse transcription reaction with biotinylated oligo-d(T)18 and random nonamers. Oligonucleotides (three unique pairs for each of the 512 genes) were annealed to the biotinylated cDNA, the duplexes were bound to streptavidin conjugated paramagnetic particles to remove non-hybridized oligos. The annealed oligos were then extended and ligated (to incorporate an address sequence and primer site) to generate amplifiable products. These products were subjected to PCR amplification using fluorescently labeled (Cy3 and Cy5) primers. The labeled PCR products were hybridized to a Sentrix array or Beadchip. Following hybridization, the arrays were scanned with a BeadArray Reader (Illumina) and data was extracted using BeadStudio software (Illumina). Samples exhibiting a median hybridization intensity across all probes of <600 (background corrected) were excluded from analysis. Probes with a BeadStudio detection score greater than 0.99 in more than 15 conditions were included. Array data transformation and normalization (per chip normalized to 50th percentile and per gene normalized to median) was done in Genespring® version 7.0 software (Agilent Technologies, Santa Clara, USA). Hierarchical clustering was performed using: Similarity measure; Pearson Correlation and clustering algorithm; Average Linkage. Genes differentially expressed between primary tumors and brain metastases were identified using analysis of variance (ANOVA, p<0.01) or parametric test, variances not assumed equal (Welch t-test, p < 0.005). Up and down regulation was considered for normalized data values that were greater or less than a factor of 2 fold for the conditions compared.
2010-06-24 | E-GEOD-14682 | biostudies-arrayexpress