Project description:<p>This study compares DNA mutations detected in matched primary and metastatic colorectal cancer samples from 18 individuals across 1,321 genes. We found many more mutations were shared between tumor pairs (avg. 33.3 mutations/tumor) than were discordant (avg. 2.3 mutations / tumor). Nearly all tumors showed at least one discordance, and these were observed in genes known to be involved in colorectal cancer progression. Therefore, although primary and metastatic colorectal tumors are highly genetically concordant, evidence exists for discordance, which has clinical implications especially in situations of chemotherapy resistance or insensitivity.</p>
Project description:Characterization of patterns of somatic alterations between matched primary and metastatic colorectal tumors using whole genome sequencing technology
Project description:To look at genes/pathways differentially expressed in metastatic and primary tumor cells we performed global gene expression profiling of the 3 sets of HNSCC lines derived from primary tumors and matched metastatic sites. Illumina HT-12 v4 BeadChip arrays were used. The data suggest that HNSCC lines derived from metastatic sites exhibit phenotypes distinct from those found in cells derived from the corresponding primary tumors. Metastatic cell lines upregulated several pathways involved in stem cell self-renewal, invasion and migration, which are well known characteristics of metastatic progression. We conclude that the cell lines derived from primary patient tumors and matched metastatic sites represent a reliable model to study HNSCC metastasis.
Project description:Comparison of genomic alterations of primary colorectal cancers with liver metastases of the same patient Keywords: array CGH, colorectal cancer, colon cancer, liver metastasis 21 primary colorectal cancers and 21 matched liver metastases hybridized against sex-matched control pools
Project description:We profiled the tumor heterogeneity of individual primary tumor and matched metastatic cells of breast cancer using a set of patient derived xenograft models with different metastatic potentials. This data set gives insights into the transcriptional tumor heterogeneity, the transcriptional differences between primary tumor and matched metastatic cells and how these are changing in regard to varying metastatic phenotypes.
Project description:It is unknown if gene expression profiles from primary RCC tumors differ from patient-matched metastatic tumors. Thus, we sought to identify differentially expressed genes between patient-matched primary and metastatic RCC tumors in order to understand the molecular mechanisms underlying the development of RCC metastases.
Project description:Comparison of expression profiles of primary colorectal cancers with liver metastases of the same patient. Additionally, expression data of normal colon and liver tissue. Abstract of publication will be included upon publication Keywords: expression profiling, colorectal cancer, colon cancer, liver metastasis, normal colonic tissue, normal liver tissue RNA of 18 primary colorectal cancers, 18 matched liver metastases, 7 normal colon epithelium samples and 5 normal liver tissue samples hybridized on Human Sentrix-6 V2 (Illumina)
Project description:19 non-metastatic breast cancers (controls) and 19 breast cancers showing metastases or metastatic relapse within 5 years (cases) were extracted from a multi-institutional case series of 123 breast cancer patients . Cases and controls were analyzed for DNA methylation over 56 genes by the MethDet assay [1]using a dedicated microarray (MethDet56). 1. Levenson VV, Melnikov AA: The MethDet: a technology for biomarker development. Expert Rev Mol Diagn 2011, 11:807-812.