To identify novel metastasis-associated gene candidates in colorectal cancer
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE24639 | GEO | 2010/10/16
SECONDARY ACCESSION(S): PRJNA132477
REPOSITORIES: GEO
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Project description:A gene expression profiling suggested some gene candidates associated with colorectal cancer (CRC) metastasis, which were validated by qPCR investigation of the mRNA levels in clinical specimens Two-condition experiment, tumor tissue versus the adjacent non-tumor tissue. Biological replicates: 4
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Project description:The objective of this study is to assess gene expression changes and identify gene sets associated with metastasis into peritoneum in colorectal cancer (CRC) patients. We performed RNA-seq based transcriptome profiling using primary tumor samples obtained from 19 CRC patients with peritoneum metastasis. By a number of statistical tests, a total of 1,422 genes were statistically significant, indicating a gene set significantly associated with metastasis into peritoneum in CRC. To select the genes showing strong gene expression intensities and critically validate the differences between CRCs with metastasis and without metasis, we applied more rigorous cut-off for gene selection, revealing candidates less than 20 genes. These genes were applied to the downstream experimental assays.
2024-06-05 | GSE225182 | GEO
Project description:Dysregulated miRNA in human colorectal cancer (CRC) were identified through comparison between 4 CRC tumors and their adjacent normal tissues by miRNA array. Histologically-confirmed CRC were included in this study. CRC tissues and paired adjacent normal tissues were obtained from the resected surgical specimens. The adjacent normal tissue is composed of normal colonic mucosa located at approximately 10 cm away from the cancer tissue. miRNA profiling of 754 human miRNAs was performed using TaqMan Human MiRNA Array Set v3.0. Quantitative real-time polymerase chain reaction (Q-PCR) was performed using Applied Biosystems 7900HT Real-Time PCR System (Applied Biosystems). Results were analyzed by the SDS RQ Manager 1.2 software (Applied Biosystems).
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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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Project description:The purpose of this study is to identify miRNAs involved in the pathology of colorectal cancer (CRC) liver metastasis and investigate their underlying mechanisms. A total of 39 miRNAs were identified to be differentially expressed between 16 primary CRC tissues with liver metastases and 16 CRC tissues without liver metastases from 32 patients by Affymetric miRNA microarrays. 16 coloretcal cancer tissues with liver metastasis and 16 colorectal cancer tissues without liver metastasis were included in this study for RNA extraction and hybridization on Affymetrix microarrays. We sought to identify the differentially expressed miRNAs between colorectal cancer tissues with and without liver metastasis.
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