Homo sapiens
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA361221 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Angiogenesis plays a key role in tumor metastasis. Many genes may act in this process including formation of vessels, immune evasion,etc. Different gene expression profiles between lymphoma endothelium cells and reactive lymph node-derived endothelium cells may uncover these genes. And intensive mechanism researches on such key genes may explain the mechanisim of tumor-specific angiogenesis and help to explore effective treatment strategies to prevent/reverse tumor metastasis. We use microarrays to detail gene expression profiles of human lymphoma endothelium and reactive lymph node-derived endothelium. Lymph nodes were taken from surgery samples of cases pathologically diagnosed DLBCL (diffuse large B-cell lymphoma), PTL (peripheral T cell lymphoma) and reactive lymph nodes. The pure endothelium cells were isolated by LCM after immunohistochemical staining of CD34. We found Tim-3 was preferentially expressed on lymphoma-derived ECs via different expression profiles between lymphoma ECs and reactive lymph node-derived ECs. Intensive researches were carried out on Tim-3-expressing -ECs and we found that Tim-3 -expressing-Ecs may play important role on EC-mediated tumor evasion.
2010-01-14 | E-GEOD-19882 | biostudies-arrayexpress
Project description:Immune system plays a dual role in cancer by either targeting or supporting neoplastic cells at various stages of disease, including metastasis. Yet, the exact immune-related transcriptome profiles of breast cancer cells and their evolution during dissemination remain undiscovered. This study aimed at exploring immune-related transcriptomic landscape of primary tumors and lymph node metastasis of chemotherapy-naïve breast cancer patients.
2021-07-21 | GSE180186 | GEO
Project description:Angiogenesis plays a key role in tumor metastasis. Many genes may act in this process including formation of vessels, immune evasion,etc. Different gene expression profiles between lymphoma endothelium cells and reactive lymph node-derived endothelium cells may uncover these genes. And intensive mechanism researches on such key genes may explain the mechanisim of tumor-specific angiogenesis and help to explore effective treatment strategies to prevent/reverse tumor metastasis. We use microarrays to detail gene expression profiles of human lymphoma endothelium and reactive lymph node-derived endothelium.
2010-01-14 | GSE19882 | GEO
Project description:The expression of miRNA in cancer tissues of gastric cancer patients with different lymph node stages was compared. N0 indicated no lymph node metastasis, and N3 indicated 7 or more lymph node metastasis
2021-07-05 | GSE173215 | GEO
Project description:Lymph node status is a crucial predictor for the overall survival of invasive breast cancer. However, lymph node involvement is only detected in about half of HER2 positive patients. Currently, there are no biomarkers available for distinguishing small size HER2-positive breast cancers with different lymph node statuses. Thus, in the present study, we applied label-free quantitative proteomic strategy to construct plasma proteomic profiles of ten patients with small size HER2-positive breast cancers (5 patients with lymph node metastasis versus 5 patients with lymph node metastasis).
2018-02-08 | PXD007217 | Pride
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:Identifying the exact molecules associated with CRC metastasis may be crucial to understand the process, which might also be translated to the diagnosis and treatment of CRC. In this study, we investigate the association of microRNA expression patterns with the lymph node metastasis of colorectal cancer. To investigate the association of microRNA expression patterns with the lymph node metastasis of colorectal cancer, eight primary colorectal cancer tissues derived from stage II–III colorectal cancer patients with (n = 4) or without (n = 4) lymph node metastasis were collected and the miRNA expression profiles of them were determined using Agilent miRNA microarray. Different miRNA expression profiles were identified in CRC tissues between lymph node metastasis positive and negative group.
2013-12-31 | E-GEOD-48074 | biostudies-arrayexpress
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