Similar Datasets
Project description:Transcriptional profiling of mouse Colon26 cancer cells comparing control primary tumours in the colon with their liver metastases. Keywords: Metastatic variant Two-condition experiment, Colon26 primary tumours vs. their liver metastases. Biological replicates: 2 primary tumours, 2 liver metastases, independently grown and harvested. One replicate per array.
2008-07-23 | E-GEOD-12162 | biostudies-arrayexpress
Project description:Transcriptional profiling of mouse Colon26 cancer cells comparing control primary tumours in the colon with their liver metastases. Keywords: Metastatic variant
2008-07-23 | GSE12162 | GEO
Project description:Genome wide miRNA expression profiling was performed using Affymetric miRNA v. 3.0 Array on 48 samples which included paired FFPE colon tuomor and metastisized liver and paired normal colon, normal liver). The data set was divided into two categories and identified by tissue source and patient demographics: Tissue (Colon, Liver), Source (Colon Tumor Liver Met, Colon Normal, Liver Normal), Sex (Male, Female), Patient Pair. microRNAs (miRs) are frequently dysregulated in colorectal cancer (CRC) and subsets are correlated with advanced tumor stage and metastasis. Despite this, the development of prognostic biomarkers that predict metastatic potential remain limited. Our study was designed to identify, validate, and elucidate underlying biology imposed by a miR signature that defines and predicts metastatic disease. Genome-wide miR expression profiling was performed on fourteen patient-matched stage IV primary CRC tumors and corresponding liver metastases using microRNA array technology. Based on these results, this miR panel was then validated and evaluated in normal colon tissue (N = 5), early stage (I & II, N = 11) and late stage (Stage III & IV, N = 14) colorectal primary tumors via qRT-PCR.
2017-05-02 | GSE98406 | GEO
Project description:We performed whole exome sequencing and copy number analysis for 15 triplets, each comprising normal colorectal tissue, primary colorectal carcinoma, and its synchronous matched liver metastasis. We analyzed the similarities and differences between primary colorectal carcinoma and matched liver metastases in regards to somatic mutations and somatic copy number alterationss (SCNAs). The genomic profiling demonstrated mutations in APC(73%), KRAS (33%), ARID1A and PIK3CA (6.7%) genes between primary colorectal and metastatic liver tumors. TP53 mutation was observed in 47% of the primary samples and 67% in liver metastatic samples. The grouped pairs, in hierarchical clustering showed similar SCNA patterns, in contrast to the ungrouped pairs. Many mutations (including those of known key cancer driver genes) were shared in the grouped pairs. The ungrouped pairs exhibited distinct mutation patterns with no shared mutations in key driver genes. Four ungrouped liver metastasis samples had mutations in DNA mismatch repair genes along with hypermutations and a substantial number of copy number of alterations. Genomically, colorectal and metastatic liver tumors were very similar. However, in a subgroup of patients, there were genetic variations in liver metastases in the loss of DNA mismatch repair genes.
2014-03-01 | GSE53799 | GEO
Project description:We performed whole exome sequencing and copy number analysis for 15 triplets, each comprising normal colorectal tissue, primary colorectal carcinoma, and its synchronous matched liver metastasis. We analyzed the similarities and differences between primary colorectal carcinoma and matched liver metastases in regards to somatic mutations and somatic copy number alterationss (SCNAs). The genomic profiling demonstrated mutations in APC(73%), KRAS (33%), ARID1A and PIK3CA (6.7%) genes between primary colorectal and metastatic liver tumors. TP53 mutation was observed in 47% of the primary samples and 67% in liver metastatic samples. The grouped pairs, in hierarchical clustering showed similar SCNA patterns, in contrast to the ungrouped pairs. Many mutations (including those of known key cancer driver genes) were shared in the grouped pairs. The ungrouped pairs exhibited distinct mutation patterns with no shared mutations in key driver genes. Four ungrouped liver metastasis samples had mutations in DNA mismatch repair genes along with hypermutations and a substantial number of copy number of alterations. Genomically, colorectal and metastatic liver tumors were very similar. However, in a subgroup of patients, there were genetic variations in liver metastases in the loss of DNA mismatch repair genes. Copy number analysis of Affymetrix CytoScanHD arrays was performed for 15 primary colorectal carcinoma and 15 samples of their matched liver metastases. 15 normal samples prepared from each of the patient was used as the reference for the study. Nexus Copy number 6.1 software was used for somatic copy number alteration analysis.
2014-03-01 | E-GEOD-53799 | biostudies-arrayexpress
Project description:Gene expression in matched primary and liver metastases
| PRJNA616290 | ENA
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
2010-07-07 | GSE14297 | GEO
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)
2010-07-07 | E-GEOD-14297 | biostudies-arrayexpress
Project description:Metastasis formation is the major cause for cancer-related deaths and the underlying mechanisms remain poorly understood. In this study we describe spontaneous metastasis xenograft mouse models of human neuroblastoma used for unbiased identification of metastasis-related proteins by applying an infrared laser (IR) for sampling primary tumor and metastatic tissues, followed by mass spectrometric proteome analysis. IR aerosol samples were obtained from ovarian and liver metastases, which were indicated by bioluminescence imaging (BLI), and matched subcutaneous primary tumors. Corresponding histology proved the human origin of metastatic lesions. Ovarian metastases were commonly larger than liver metastases indicating differential outgrowth capacities. Among ~1,700 proteins identified at each of the three sites, 89 proteins were differentially regulated in ovarian metastases while 290 proteins were regulated in liver metastases. There was an overlap of 26 and 10 proteins up- and down-regulated at both metastatic sites, respectively, most of which were so far not related to metastasis such as LYPLA2, ACTL8, EIF4B, LGALS7, GFAP, and ELAVL4. Moreover, we established in vitro sublines from primary tumor and metastases and demonstrate differences in cellular protrusions, migratory/invasive potential and glycosylation. Summarized, this work identified several novel putative drivers of metastasis formation that are tempting candidates for future functional studies.
2018-09-24 | PXD009744 | Pride
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
2010-07-07 | GSE10179 | GEO