SNP/CNV analysis in a breast cancer metastasis model
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
SUBMITTER: David Rodenhiser
PROVIDER: E-GEOD-14867 | biostudies-arrayexpress |
REPOSITORIES: biostudies-arrayexpress
Similar Datasets
Project description:The Affymetrix SNP/CNV (SNP 6.0) platform was used to analyze a cell line model of lymph node metastasis comprised of a poorly metastatic MDA-MB-468GFP human breast adenocarcinoma cell line and its highly metastatic variant (468LN).
2009-10-02 | GSE14867 | GEO
Project description:Gene expression profiling of whole tumor tissues consists of a heterogeneous population of tumor and stromal cells. We performed gene expression profiling of flow cytometry purified tumor cells from primary breast tumor tissues and metastatic lymph nodes in order to segregate tumor signatures from stromal signatures. The goal of this set of expression profiles was to understand the underlying mechanism of lymph node metastatic processes by comparing primary breast tumor cell gene expression profiles with that of lymph node metastatic tumor cells. Keywords: breast cancer, lymph node metastasis
2012-07-07 | GSE30480 | GEO
Project description:The ideal genome sequence for medical interpretation is complete and diploid, capturing the full spectrum of genetic variation. Toward this end, there has been progress in discovery of single nucleotide polymorphism (SNP) and small (<10bp) insertion/deletions (indels), but annotation of larger structural variation (SV) including copy number variation (CNV) has been less comprehensive, even with available diploid sequence assemblies. We applied a multi-step sequence and microarray-based analysis to identify numerous previously unknown SVs within the first genome sequence reported from an individual. An Illumina SNP array experiment was performed according to the manufacturer's directions on DNA extracted from a lymphoblastoid cell line (HuRef).
2013-02-12 | E-GEOD-20284 | biostudies-arrayexpress
Project description:The ideal genome sequence for medical interpretation is complete and diploid, capturing the full spectrum of genetic variation. Toward this end, there has been progress in discovery of single nucleotide polymorphism (SNP) and small (<10bp) insertion/deletions (indels), but annotation of larger structural variation (SV) including copy number variation (CNV) has been less comprehensive, even with available diploid sequence assemblies. We applied a multi-step sequence and microarray-based analysis to identify numerous previously unknown SVs within the first genome sequence reported from an individual. An Affymetrix SNP array experiment was performed according to the manufacturer's directions on DNA extracted from a lymphoblastoid cell line (HuRef). Copy number analysis of Affymetrix 6.0 SNP arrays was performed for the HuRef sample. The HuRef sample was run in a batch of 50 control samples, which were used as baseline for calling CNVs.
2013-02-12 | E-GEOD-20275 | biostudies-arrayexpress
Project description:The lymph of normal rabbit lymph nodes and metastatic lymph nodes of breast cancer were extracted by contrast-enhanced ultrasound for proteomic analysis, and the differential proteins affecting metastasis were obtained.
2023-11-29 | PXD047360 |
Project description:Two isogenic human colorectal cancer cell lines (primary SW480 cell line and its lymph node metastatic variant SW620 cell line),as an in vitro metastatic model. We have demonstrated that SW620 cell line possesses high metastasis potential and SW480 cell linepossesses low metastatic potential.
2016-08-01 | GSE72412 | 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:Canine mammary gland tumors (CMGTs) are the most common neoplasms in sexually intact female dogs. CMGTs have been suggested as a model for studying human breast cancer because of several similarities, including the relative age of onset, risk factors, incidence, histological and molecular features, biological behavior, metastatic pattern, and responses to therapy. In the present study, we established a new cell line, the SNP cell line, from a CMGT. A tumor formed in each NOD.CB17-Prkdcscid/J mouse at the site of subcutaneous SNP cell injection, with an average size at 7 days after inoculation of 49.9 mm3. SNP cells are characterized by proliferation in a tubulopapillary pattern. Moreover, we examined miRNA expression in the cultured cells and found that the expression values of miRNA-143 and miRNA-138a showed the greatest increase and decrease, respectively, of all miRNAs observed. These miRNAs might therefore play a significant role in the malignancy of SNP cells. SNP cells might serve as a model for future genetic analysis and clinical treatments of human breast tumors.
2016-01-01 | GSE67129 | GEO
Project description:Background Breast cancer patients who present in the early stage of disease are affected by metastasis to the axillary group of lymph nodes. The first among this group that is affected is called as sentinel lymph node, and metastasis to this lymph node is crucial for the staging of cancer and the quality of surgical intervention. Sentinel Lymph Node Biopsy (SLNB) that is currently used to assess lymph node metastasis is neither sensitive, nor specific, is time-consuming, thereby necessitating the identification of novel biomarkers that can flag sentinel lymph node metastasis. Methods Breast cancer patients were screened, and those with early stage were recruited in the study. Surgical resection of the breast was followed by identification of sentinel lymph nodes by methylene fluorescent technique. Histo-pathology of fresh frozen section biopsy was used as the gold standard to assign the clinical phenotypes of metastatic (SLNM+) and non-metastatic sentinel lymph nodes (SLNM-). Discovery phase of the experiment included isobaric Tags for Relative and Absolute Quantitation (iTRAQ) technique comprising of six comparative experiments coupled with mass spectrometric analysis on Orbitrap Fusion to identify differentially expressed proteins on Proteome Discoverer 2.4. Functional enrichment and pathway analyses of differentially regulated genes was carried out in DAVID functional annotation tool. Validation was done by ELISA and protein concentrations were used to estimate the ROC for computing diagnostic parameters. Results Based on MS/MS spectra there were 2396 unique protein groups and 81 differentially expressed proteins comparing SLNB + and SLNB -. Nineteen proteins up-regulated, and eight proteins that were down regulated in SLNB+ as compared to SLNB-. Bioinformatic analysis showed the implication of extra cellular matrix proteins and ECM-receptor interaction pathways to be implicated in lymph node metastasis. ELISA confirmed the up-regulation of caveolin 1, collagen α-1, desmin, fibrillin-1, and microfibrillar associated glycoprotein 4 in metastatic, as compared to non-metastatic lymph nodes. These proteins are known to be integral in tumorogenesis, cell proliferation, invasion, cell survival and anti-apoptosis. These proteins have 80%-100%, of sensitivity and specificity to differentiate the two clinical phenotypes. Conclusion Identified extra cellular matrix protein biomarkers have requisite diagnostic parameters to be developed as a translational tool to assess the status of sentinel lymph nodes during mastectomy procedure to guide surgical therapy of axillary lymph nodes in early breast oncology.
2022-05-01 | PXD027668 | Pride
Project description:Genetic variations play an important role in tumor development and metastasis. Hepatocellular carcinoma (HCC) is one of leading cause of cancer-related death. Despite improvements in surveillance and clinical treatment strategies, the prognosis of HCC remains dismal. Affymetrix SNP 6.0 array were used to evaluate the genetic characteristics of tumor DNA in 30 HBV-related HCC patients who were underwent liver transplantation. Recurrence related SNPs were selected and validated. Affymetrix SNP 6.0 arrays were performed according to the manufacturer's directions on DNA extracted from formalin-fixed paraffin-embedded HCC tissues
2012-10-26 | E-GEOD-29667 | biostudies-arrayexpress