Homo sapiens
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA224958 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Comparison of non-coding RNA profiling by array in sublines of DU145 human prostate cancer cell lines created by in vivo cycling Cell lines created by removal and growth of metastatic human DU145 tumor cells from mouse lymph node (metastasized from prostate xenograft) for LN cells and extracted from lung after intravenous injection (ivLU cells). Cell line numebr represented number of in vivo cycles of metastatic selection
2013-10-29 | GSE51753 | GEO
Project description:Comparison of non-coding RNA profiling by array in sublines of DU145 human prostate cancer cell lines created by in vivo cycling Cell lines created by removal and growth of metastatic human DU145 tumor cells from mouse lymph node (metastasized from prostate xenograft) for LN cells and extracted from lung after intravenous injection (ivLU cells). Cell line numebr represented number of in vivo cycles of metastatic selection Six condition experiment, individual cell line for each sample on array
2013-10-29 | E-GEOD-51753 | biostudies-arrayexpress
Project description:The aim of our study was to identify a microRNA signature for metastatic CRC that could predict and differentiate metastatic target organ localization. Normal and cancer tissues of three different groups of CRC patients were analyzed. RNA microarray and TaqMan Array analysis were performed on 66 italian patients with or without lymph nodes and/or liver recurrences. Data obtained with the two assays, were analyzed separately and then intersected to identify a primary CRC metastatic signature. Five differentially expressed microRNAs (hsa-miR-21, -103, -93, -31 and -566) were validated by qRT-PCR on a second group of 16 american metastatic patients. In situ hybridization was performed on the 16 american patients as well as on three distinct commercial tissues microarray (TMA), containing normal adjacent colon, the primary adenocarcinoma, normal and metastatic lymph nodes and liver. Hsa-microRNA-31,-21,-93, and-103 upregulation together with hsa-miR-566 downregulation defined the CRC metastatic signature, while in situ hybridization data identified a lymphonodal invasion profile. 33 patients had colon cancer with lymph nodes metastasis only (Any T, Any N, M0) and 15 were diagnosed with colon cancer, lymph nodes and liver metastases (Any T, Any N, M1). Separate tumor samples from the primary tumor, the metastatic lymph nodes and the liver metastasis were collected.
2014-04-01 | E-GEOD-56350 | biostudies-arrayexpress
Project description:Analysis of gene expression in sublines of DU145 human prostate cancer cells created through in vivo metastatic selection
| PRJNA224959 | ENA
Project description:Transcription Profiles of Regulatory T Cells in Follicular Lymphoma Lymph Nodes, Normal Lymph Nodes and Reactive Lymph Nodes
| PRJNA299009 | ENA
Project description:The aim of our study was to identify a microRNA signature for metastatic CRC that could predict and differentiate metastatic target organ localization. Normal and cancer tissues of three different groups of CRC patients were analyzed. RNA microarray and TaqMan Array analysis were performed on 66 italian patients with or without lymph nodes and/or liver recurrences. Data obtained with the two assays, were analyzed separately and then intersected to identify a primary CRC metastatic signature. Five differentially expressed microRNAs (hsa-miR-21, -103, -93, -31 and -566) were validated by qRT-PCR on a second group of 16 american metastatic patients. In situ hybridization was performed on the 16 american patients as well as on three distinct commercial tissues microarray (TMA), containing normal adjacent colon, the primary adenocarcinoma, normal and metastatic lymph nodes and liver. Hsa-microRNA-31,-21,-93, and-103 upregulation together with hsa-miR-566 downregulation defined the CRC metastatic signature, while in situ hybridization data identified a lymphonodal invasion profile.
2014-04-01 | GSE56350 | GEO
Project description:RNA-seq data of non-metastatic and metastatic lymph nodes from six breast cancer patients
| PRJDB15979 | ENA
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:Background: Cervical lymph node metastasis is a potent prognostic factor in oral squamous cell carcinoma (OSCC). However, lymph nodes resected by sentinel node biopsy or neck dissection are usually diagnosed by examining only one or two sections of the maximal cut surface. Accurate diagnosis of the metastasis in lymph nodes is important but depends on a heavy workload of the pathologist. In this study, we have attempted to identify novel molecular markers to find the harboring cancer cells in the lymph node and establish rapid detection method. Methods: We determined the gene expression profiles of 7 metastatic lymph nodes from patients with OSCC and 1 normal lymph node and 5 salivary glands from non-cancerous patients by microarray analysis. We found the overexpression genes in all metastatic lymph nodes. Subsequently, we examined the expression of these genes in newly 23 metastatic lymph nodes and 9 normal lymph nodes by real-time quantitative RT-PCR (qRT-PCR) assay. Moreover, the rapid detection of lymph node metastasis by these genes was examined using the reverse transcription loop-mediated isothermal amplification (RT-LAMP) method. Result: Among the 4 genes identified by microarray analysis, annexin A8 (ANXA8) and desmoglein 3 (DSG3) were detected in all metastatic lymph nodes at a much higher level but not in normal lymph nodes at all by qRT-PCR. Furthermore, RT-LAMP method targeting ANXA8 rapidly detected almost lymph nodes with metastasis. Conclusions: ANXA8 could be a useful marker for detecting lymph node metastasis in OSCC.
2015-12-21 | GSE70604 | GEO
Project description:Diffuse large B-cell lymphoma (DLBCL) from primary sites and metastatic lymph nodes
| PRJNA323529 | ENA