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: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:Comparison of genomic alterations of primary colorectal cancers with liver metastases of the same patient Keywords: array CGH, colorectal cancer, colon cancer, liver metastasis
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
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.
Project description:Metastatic dissemination is the most frequent cause of death sporadic colorectal cancer (sCRC) patients. The genomic abnormalities which are potentially characteristic of such advanced stages of the disease are complex and so far, they have been poorly described and only partially understood. We evaluate the molecular heterogeneity of sCRC tumors based on simultaneous assessment of the overall GEP of both coding mRNA and non-coding RNA genes in primary sCRC tumor samples from 23 consecutive patients and their paired liver metastases. Liver metastases from the sCRC patients analyzed, systematically showed deregulated transcripts of those genes identified as also deregulated in their paired primary colorectal carcinomas. However, some transcripts were found to be specifically deregulated in liver metastases while expressed at normal levels in their primary tumors, suggesting an increased genomic instability of neoplastic cells from metastatic versus primary tumor samples. Of note, once tumoral samples were normalized vs. non-tumoral colorectal tissue, only three mRNAS (i.e.: DEFB1, COL12A and PTGER3) and one miRNA (i.e.: miR-572) emerged as significantly deregulated in the liver metastases vs. the primary tumor. Canonical pathways found to be specifically deregulated in liver metastatic samples included multiple genes related with intercellular adhesion and the metastatic processes (e.g., IGF1R, PIK3CA, PTEN and EGFR), endocytosis (e.g., the PDGFRA, SMAD2, ERBB3, PML and FGFR2), and cell cycle (e.g., SMAD2, CCND2, E2F5 and MYC). Our results also highlight the activation of genes associated with the TGFβ signaling pathway, which thereby emerge as candidate genes to play an important role in CRC tumor metastasis.
Project description:A subset of patients with metastatic colorectal cancer achieves prolonged survival after hepatic resection of limited liver metastases. Here, we examined the molecular features of colorectal liver metastases as they relate to clinical outcomes.
Project description:Using liver metastases from 4 colorectal cancer patients (CRC-LM), we explored one receptor: EGFR whose signaling triggers cell proliferation and is exacerbated in many tumors.
Project description:Metastatic dissemination is the most frequent cause of death sporadic colorectal cancer (sCRC) patients. The genomic abnormalities which are potentially characteristic of such advanced stages of the disease are complex and so far, they have been poorly described and only partially understood. We evaluate the molecular heterogeneity of sCRC tumors based on simultaneous assessment of the overall GEP of both coding mRNA and non-coding RNA genes in primary sCRC tumor samples from 23 consecutive patients and their paired liver metastases. Liver metastases from the sCRC patients analyzed, systematically showed deregulated transcripts of those genes identified as also deregulated in their paired primary colorectal carcinomas. However, some transcripts were found to be specifically deregulated in liver metastases while expressed at normal levels in their primary tumors, suggesting an increased genomic instability of neoplastic cells from metastatic versus primary tumor samples. Of note, once tumoral samples were normalized vs. non-tumoral colorectal tissue, only three mRNAS (i.e.: DEFB1, COL12A and PTGER3) and one miRNA (i.e.: miR-572) emerged as significantly deregulated in the liver metastases vs. the primary tumor. Canonical pathways found to be specifically deregulated in liver metastatic samples included multiple genes related with intercellular adhesion and the metastatic processes (e.g., IGF1R, PIK3CA, PTEN and EGFR), endocytosis (e.g., the PDGFRA, SMAD2, ERBB3, PML and FGFR2), and cell cycle (e.g., SMAD2, CCND2, E2F5 and MYC). Our results also highlight the activation of genes associated with the TGFβ signaling pathway, which thereby emerge as candidate genes to play an important role in CRC tumor metastasis.
Project description:At present, medical treatments of synchronous and metachronous liver metastases from colorectal cancer are not differentiated. The aim of the study was to analyze the gene expression profiling of synchronous and metachronous lesions in order to identify molecular signatures as possible basis for choice of systemic therapies. Fresh tissues specimens from metastases of 18 patients undergone liver surgery were collected (10 synchronous and 8 metachronous lesions). Gene expression profiling was studied using Affymetrix platform. Two different profiles were identified. Pathway related to the Epidermal Growth Factor receptor (EGFr) was upregulated in metachronous lesions whereas pathways mainly related to inflammation in synchronous lesions. Real Time-PCR, Western Blotting and ELISA confirmed that the metachronous lesions had the overexpression of EGFr, but the synchronous ones had the overexpression of Cyclo-oxygenase 2 (COX-2). These results suggest that synchronous or metachronous liver metastases from colorectal cancer could be differently treated on the basis of different molecular pathways. Keywords: disease state analysis