Gene expression profile of purified tumor cells from primary breast cancer tumor tissues and metastatic lymph nodes
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE30480 | GEO | 2012/07/07
SECONDARY ACCESSION(S): PRJNA143467
REPOSITORIES: GEO
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Project description:To determine the influence of primary tumors on pre-metastatic lymph nodes, we have employed whole genome microarray expression profiling as a discovery platform to identify gene signatures of stromal cells from tumor-draining lymph nodes, compared with normal lymph nodes. We subcutaneously inoculated C57BL/6 mice with the 4T1 mammary carcinoma. Two weeks later, tumor-draining lymph nodes were dissociated and stromal cells (CD45-) were sorted. Lymph nodes stromal cells from normal mice without tumor bearing were set as controls.
2018-04-18 | GSE113249 | GEO
Project description:Metastasis to lymph nodes is an early and prognostically important event in the progression of many human cancers, and is associated with expression of vascular endothelial growth factor-D (VEGF-D). Changes to lymph node vasculature occur during metastasis, and may establish a metastatic niche capable of attracting and supporting tumor cells. We used microarrays to characterise the molecular profiles of endothelial cells from lymph nodes draining metastatic (VEGF-D-overexpressing) and non-metastatic tumors, and to identify differentially-expressed genes that might have therapeutic or prognostic potential. Draining lymph nodes of metastatic (VEGF-D-overexpressing) or non-metastatic tumors were pooled from 1-5 mice and enzymatically digested. Lymph nodes draining metastatic tumors were included for the analysis only if macroscopically enlarged, indicating the presence of metastatic cells. After digestion, tumor cells and leukocytes were depleted via immunomagnetic selection, and the resulting lymph node stromal cells were cultured briefly. Podoplanin was then used as a positive immunomagnetic selection marker to enrich for lymphatic and other endothelial cells in the lymph node. RNA was isolated from biological duplicate lymph node endothelial cell (LN EC) preparations and analysed by microarray.
2011-09-22 | E-GEOD-31123 | biostudies-arrayexpress
Project description:Analysis of purified immune and breast tumor cells from three major compartments where cancer and immune cells interact: primary tumor, tumor draining lymph nodes (tumor invaded or tumor free), and peripheral blood. The results suggests that node-positive patients’ immune regulation and functionality is down-regulated compared to node-negative patients. CD45+ Immune and ESA+ tumor cells were purified from breast cancer patients' primary tumor, tumor-draining lymph node, and peripheral blood (ficoll) and placed onto Agilent microarrays using the dye-swap method. A universal human reference was used as a reference for the patient samples.
2013-01-11 | E-GEOD-41986 | biostudies-arrayexpress
Project description:Tumor-driven stromal reprogramming in the pre-metastatic lymph node
| PRJNA1046432 | ENA
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:Analysis of purified immune and breast tumor cells from three major compartments where cancer and immune cells interact: primary tumor, tumor draining lymph nodes (tumor invaded or tumor free), and peripheral blood. The results suggests that node-positive patients’ immune regulation and functionality is down-regulated compared to node-negative patients.
2013-01-11 | GSE41986 | GEO
Project description:To determine the influence of primary tumors on pre-metastatic lymph nodes, we have employed whole genome microarray expression profiling as a discovery platform to identify gene signatures of B cells from tumor-draining lymph nodes, compared with normal lymph nodes. We subcutaneously inoculated C57BL/6 mice with the 4T1 mammary carcinoma. Two weeks later, tumor-draining lymph nodes were dissociated and B cells (CD19+) were sorted. Lymph nodes B cells from normal mice without tumor bearing were set as controls.
2018-04-18 | GSE113250 | GEO
Project description:[original title] Metastatic Canine Mammary Carcinomas can be Identified by a Gene Expression Profile that partly Overlaps with Human Breast Cancer Profiles. Introduction: Similar to human breast cancer mammary tumors of the female dog are commonly associated with a fatal outcome due to the development of distant metastases. However, the molecular defects leading to metastasis are largely unknown and the value of canine mammary carcinoma as a model for human breast cancer is unclear. In this study, we analyzed the gene expression signatures associated with mammary tumor metastasis and asked for parallels with the human equivalent. Methods: Messenger RNA expression profiles of twenty-seven lymph node metastasis positive or negative canine mammary carcinomas were established by microarray analysis. Differentially expressed genes were functionally characterized and associated with molecular pathways. The findings were also correlated with published data on human breast cancer. Results: Metastatic canine mammary carcinomas had 1,011 significantly differentially expressed genes when compared to non-metastatic carcinomas. Metastatic carcinomas had a significant up-regulation of genes associated with cell cycle regulation, matrix modulation, protein folding and proteasomal degradation whereas cell differentiation genes, growth factor pathway genes and regulators of actin organization were significantly down-regulated. Interestingly, 265 of the 1,011 differentially expressed canine genes are also related to human breast cancer and, vice versa, parts of a human prognostic gene signature were identified in the expression profiles of the metastatic canine tumors. Conclusions: Metastatic canine mammary carcinomas can be discriminated from non-metastatic carcinomas by their gene expression profiles. More than one third of the differentially expressed genes are also described of relevance for human breast cancer. Many of the differentially expressed genes are linked to functions and pathways which appear to be relevant for the induction and maintenance of metastatic progression and may represent new therapeutic targets. Furthermore, dogs are in some aspects suitable as a translational model for human breast tumors in order to identify prognostic molecular signatures and potential therapeutic targets. Thirteen simple mammary carcinomas with invasive growth and lymph node metastases at the time of tumor resection and 14 simple carcinomas without lymph node metastases were included in the study. None of the patients had radiographically detectable pulmonary metastases at the time of tumor resection. Distant metastases as the cause of death were determined postoperatively by radiographic detection of metastases or necropsy. Selection criteria for carcinomas without lymph node metastases included an invasive growth, a negative lymph node status, a histological grade III and a minimal tumor diameter above the average of the lymph node positive tumors (> 2.42 cm). All animals with non-metastatic carcinomas had a survival rate of over 24 months except animal no. 22 (2627) which developed radiographic detectable lung metastases 8 months after surgery. Tumor and lymph node histologies were evaluated independently by two board-certified pathologists, following the criteria of the WHO classification of canine mammary tumors and the Nottingham grading system. All 27 tumors were simple carcinomas and characterized by an invasive, mostly solid growth pattern, marked cellular pleomorphism, anisokaryosis and 3 or more mitotic figures per high power field.
2010-12-01 | E-GEOD-20718 | biostudies-arrayexpress
Project description:Tumor-draining lymph node (TDLN) invasion by metastatic cells in breast cancer correlates with poor prognosis and is associated with local immunosuppression, which can be partly mediated by regulatory T cells (Tregs). Here, we study Tregs from matched tumor-invaded and non-invaded TDLNs, and breast tumors. We observe that Treg frequencies increase with nodal invasion, that Tregs express higher levels of co-inhibitory/stimulatory receptors than effector cells. Also, while Tregs show conserved suppressive function in TDLN and tumor, conventional T cells (Tconvs) in TDLNs proliferate and produce Th1-inflammatory cytokines, but are dysfunctional in the tumor. We describe a common transcriptomic signature shared by Tregs from tumors and nodes, including CD80, which is significantly associated with poor patient survival. TCR RNA-sequencing analysis indicates trafficking between TDLNs and tumors and ongoing Tconv/Treg conversion. Overall, TDLN Tregs are functional and express a distinct pattern of druggable co-receptors, highlighting their potential as targets for cancer immunotherapy.
2020-05-26 | E-MTAB-9112 | biostudies-arrayexpress
Project description:Cutaneous melanoma first metastasizes into sentinel lymph nodes that control the lymphatic drain from the area of the primary tumor. This observation is used clinically for melanoma patients with primary melanomas thicker than 1mm (tumor stage ≥T2a), for these patients sentinel lymph node biopsy has become an important and routinely performed diagnostic procedure. The importance of sentinel node analysis is reflected by a significant better prognosis of melanoma patients with tumor free sentinel nodes compared to patients with metastatic sentinel nodes. Although intensively studied, not much is known about mechanisms responsible for the development of melanoma metastasis.To analyze gene expression in mouse SLNs of M24met tumor bearing animals as compared to tumor free control animals, SLNs were taken at different time points and analyzed for the presence of human M24met to classify SLNs into control, negative, macro metastatic SLN. After categorized SLNs were subjected to microarray analysis.
2011-07-15 | GSE30688 | GEO