Project description:To obtain more information about the lymph node metastasis of breast cancer cells, we performed spatial transcriptomics analysis of the positive lymph node (PL) with the 10× Genomics Visium platform, which allows characterization of the spatial topography of gene expression.
Project description:Expression data from 4T1 subclones derived from mammary fat pad tumors (MFP), axillary lymph node tumors (AxLN), and axillary lymph node-derived lung metastases (AxLN-LuM). In parallel, expression data, in the same subclones, of tail vein-derived (TV) lung metastases. The mechanism of how lymph node metastases seed distant metastases is unknown. We used the 4T1 breast cancer cell line, which is an immune competent model of triple negative breast cancer and spontaneously metastasizes in balb/c mice. 4T1-GFP/fLuc cells were injected into MFP to form tumors and 4T1-mCherry/rLuc cells were injected into axillary lymph nodes to form tumors and then allowed to metastasize to lung. TV cells were allowed to metastasize in the lung. Cells were harvested at different time intervals after the injection. Tumors were extracted, dissociated, and then expanded in vitro to obtain MFP, AxLN, AxLN-LuM and TV-LuM subclones isolated after different time lags with respect to the injection.
Project description:To identify the lymph node (LN) metastasis-associated genes in primary ESCC tumors, gene expression profiling assay (GEP) was performed to identify the differences in gene expression profiles between primary ESCC tumors that were with LN metastases (N+) and those without LN metastases (N-).
Project description:Lymph node metastases (LNM) and primary tumour samples were analysed using desorption electrospray ionisation mass spectrometry imaging (DESI MSI). Current assessment of LNM depends on subjective histopathological assessment, whereas analysis by DESI MSI permits an entirely objective assessment. The mass spectral data revealed specific lipidomic patterns across samples, which were shown to correspond to the immunohistochemical image. Statistical prediction of LNM samples was performed using the esophageal adenocarcinoma samples with sensitivity and specificity of 89.5% and 100%, respectively.
Project description:We performed a quantitative proteome comparison on formalin-fixed paraffin embedded (FFPE) tissue of metastasized and non-metastasized primary prostate cancer (PCa) and on recurrent lymph node metastases. Comparing these three sample groups, we aimed to identify proteins, that might potentially promote/supress tumor progression or metastasis formation. Proteins were quantified label-free. Proteins with interesting biological functions were followed-up by immunohistochemistry.
Project description:This SuperSeries is composed of the following subset Series: GSE32488: Expression profiling of formalin-fixed, paraffin-embedded (FFPE) breast cancer metastases of the lymph node and autopsy tissues [DASL HT-12 samples] GSE32489: Expression profiling of formalin-fixed, paraffin-embedded (FFPE) breast cancer metastases of the lymph node and autopsy tissues [DASL HumanRef-v3 samples] Refer to individual Series
Project description:Samples were taken from colorectal cancers in surgically resected specimens in 89 colorectal cancer patients. The expression profiles were determined using Affymetrix Human Genome U133 Plus 2.0 arrays. Comparison between the sample groups allow to identify a set of discriminating genes that can be used for molecular markers for predicting lymph node metastases. Keywords: disease state analysis
Project description:Breast cancer is the most common malignancy that develops in women, responsible for the highest cancer-associated death rates. Triple negative breast cancers (TNBC) represent an important subtype that have an aggressive clinical phenotype, are associated with a higher likelihood of metastasis and are not responsive to current targeted therapies. miRNAs have emerged as an attractive candidate for molecular biomarkers and treatment targets in breast cancer, but their role in the progression of TNBC remains largely unexplored. This study has investigated miRNA expression profiles in 31 primary TNBC cases and in 13 lymph node metastases compared with 23 matched normal breast tissues to determine miRNAs associated with the initiation of this disease subtype and those associated with its metastasis. 71 miRNAs were differentially expressed in TNBC, the majority of which have previously been associated with breast cancer, including members of the miR-200 family and the miR-17-92 oncogenic cluster, suggesting that miRNAs involved in the initiation of TNBC are not subtype specific. However, the repertoire of miRNAs expressed in lymph node negative and lymph node positive TNBCs were largely distinct from one another. In particular, miRNA profiles associated with lymph node negative disease tended to be up-regulated, while those associated with lymph node positive disease were down-regulated and largely overlapped with the profiles of their matched lymph node metastases. miRNA expression profiles were examined in 31 primary TNBC cases and in 13 lymph node metastases compared with 23 matched normal breast tissues