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Genomic Signatures Reveal DNA Damage Response Deficiency in Brain Metastases of Colorectal Cancer

ABSTRACT: We performed RNA-Seq on primary colorectal cancer (CRC) tissues and brain metastatic tissues from two CRC patients. Differential expression analysis was conducted to find genes associated with brain metastasis.

ORGANISM(S): Homo sapiens

PROVIDER: GSE132226 | GEO | 2019/06/06

REPOSITORIES: GEO

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Genomic Signatures Reveal DNA Damage Response Deficiency in Brain Metastases of Colorectal Cancer

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Comparative profiling of primary colorectal carcinomas and liver metastases

Project description:PURPOSE: We sought to identify genes of clinical significance to predict survival and the risk for colorectal liver metastasis (CLM), the most common site of metastasis from colorectal cancer (CRC). PATIENTS AND METHODS: We profiled gene expression in 31 specimens from primary CRC and 32 unmatched specimens of CLM, and performed Significance Analysis of Microarrays (SAM) of the expressed genes between these two groups. To characterize the clinical relevance of two highly-ranked differentially expressed signature genes, we analyzed the expression of secreted phosphoprotein 1 (SPP1 or osteopontin) and lymphoid enhancer factor-1 (LEF1) by immunohistochemistry using a tissue microarray (TMA) representing an independent set of 154 patients with primary CRC. Supervised analysis using SAM identified 963 genes with significantly higher expression in CLM compared to primary CRC, with a false discovery rate of <0.5%. TMA analysis showed SPP1 and LEF1 protein overexpression in 60% and 44% of CRC cases, respectively. Subsequent occurrence of CLM was significantly correlated with the overexpression of LEF1 (chi-square p = 0.035), but not SPP1 (p = 0.14). Kaplan Meier analysis revealed significantly worse survival in patients with overexpression of LEF1 (p < 0.01), but not SPP1 (p = 0.11). Both univariate and multivariate analyses identified stage (p < 0.0001) and LEF1 overexpression (p < 0.05) as important prognostic markers, but not tumor grade or SPP1. CONCLUSION: Among signature genes differentially expressed between CLM and primary CRC, we demonstrate overexpression of LEF1 in primary CRC to be a prognostic factor for poor survival and increased risk for liver metastasis. cDNA microarrays from the Stanford Functional Genomics Facility were used to perform mRNA transcript profiling of 31 freshly-frozen primary colorectal cancer specimens, and compared to published profiles of 32 unmatched colorectal liver metastases and 12 normal liver specimens.

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Gene expression signature of colorectal cancer patients

Project description:lncRNAs contributes to the development of colorectal cancer (CRC). Analysis of tumor tissues and adjacent non-tumor tissues from 6 colorectal cancer patients was conducted. Results indicate insight into molecular signature of the tumorigenesis of CRC.

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Proteogenomics of colorectal cancer liver metastases

Project description:Colorectal cancer (CRC) is the third most common and second most deadly cancer worldwide. Treatments for metastatic CRC (mCRC) are still largely based on toxic chemotherapy regimens, but important insights into tumor biology enabled the development of targeted cancer therapies. Here, we describe a proteogenomic analysis of CRC liver metastases (metastatic CRC, mCRC), an ideal setting to analyze therapeutic resistance which occurs in a short time frame. We selected liver metastases from two CRC patients on both of which we performed deep proteome profiling and WES and RNAseq-directed database searches, identifying 10 predicted muttaions, one of which was KRAS G12V. finding we generated targeted parallel reaction monitoring (PRM) assays using stable isotope labelled standard (SIS) peptides to quantify the actual concentration (fmol per µg of total protein) of the mutated and canonical (wildtype) protein variants for 8 different mutations. We demonstrate on a total of 8 tumor and 6 paired healthy tissue samples (7 and 6 out of these KRASG12V) that PRM allows quantifying the actual mutation rate on the protein level from as little 10 µg of total protein starting amount and within a single 1 hour nano-LC-MS/MS run.

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