Expression Profiling and Array Comparative Genomic Hybridization of Pancreatic Xenografts and Cell Lines
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE26089 | GEO | 2011/12/15
SECONDARY ACCESSION(S): PRJNA135395
REPOSITORIES: GEO
Similar Datasets
Project description:Array Comparative Genomic Hybridization (aCGH) of 70 pancreatic ductal adenocarcinoma (PDAC) samples was performed on Agilent 244K CGH arrays in order to find common genomic aberrations for cancer gene discovery. Additionally, matched expression profiling on Agilent 44K arrays was performed. Common copy number aberrations were identified in order to identify a list of putative cancer genes. Expression profiling data was used to further enrich this list of putative cancer genes for more likely candidates. Last, the most promising candidates were functionally interrogated using RNA interference-mediated knockdown to mimic loss. Well-known PDAC cancer genes were observed as amplified (KRAS and MYC) and deleted (CDKN2A, TGFBR2, SMAD4, and MAP2K4).
2011-12-15 | GSE25273 | GEO
Project description:This SuperSeries is composed of the following subset Series: GSE25273: Array Comparative Genomic Hybridization of Pancreatic Xenografts and Cell Lines GSE26088: Expression Profiling of Pancreatic Xenografts and Cell Lines Refer to individual Series
2011-12-15 | E-GEOD-26089 | biostudies-arrayexpress
Project description:Array Comparative Genomic Hybridization (aCGH) of 70 pancreatic ductal adenocarcinoma (PDAC) samples was performed on Agilent 244K CGH arrays in order to find common genomic aberrations for cancer gene discovery. Additionally, matched expression profiling on Agilent 44K arrays was performed. Common copy number aberrations were identified in order to identify a list of putative cancer genes. Expression profiling data was used to further enrich this list of putative cancer genes for more likely candidates. Last, the most promising candidates were functionally interrogated using RNA interference-mediated knockdown to mimic loss. Well-known PDAC cancer genes were observed as amplified (KRAS and MYC) and deleted (CDKN2A, TGFBR2, SMAD4, and MAP2K4). 70 tumor samples (48 xenografts, 22 cell lines). 2-color arrays hybridized against a common reference pool of genomic DNA from 8 normal individuals. This dataset represents the aCGH component of the study.
2011-12-15 | E-GEOD-25273 | biostudies-arrayexpress
Project description:In this study, we determined the genomic profiles of pancreatic cancer cell lines.
2016-01-22 | GSE65175 | GEO
Project description:Integrative analysis of breast cancer cell lines, using expression, comparative genomics, SNP and methylation profiling
| S-ECPF-TABM-928 | biostudies-other
Project description:Genomic copy number aberrations (CNAs) in gastric cancer have already been extensively characterized by array comparative genomic hybridization (array CGH) analysis. However, involvement of genomic CNAs in the process of submucosal invasion and lymph node metastasis in early gastric cancer is still poorly understood. In this study, to address this issue, we collected a total of 59 tumor samples from 27 patients with submucosal-invasive gastric cancers (SMGC), analyzed their genomic profiles by array CGH, and compared them between paired samples of mucosal (MU) and submucosal (SM) invasion (23 pairs), and SM invasion and lymph node (LN) metastasis (9 pairs). Initially, we hypothesized that acquisition of specific CNA(s) is important for these processes. However, we observed no significant difference in the number of genomic CNAs between paired MU and SM, and between paired SM and LN. Furthermore, we were unable to find any CNAs specifically associated with SM invasion or LN metastasis. Among the 23 cases analyzed, 15 had some similar pattern of genomic profiling between SM and MU. Interestingly, 13 of the 15 cases also showed some differences in genomic profiles. These results suggest that the majority of SMGCs are composed of heterogeneous subpopulations derived from the same clonal origin. Comparison of genomic CNAs between SMGCs with and without LN metastasis revealed that gain of 11q13, 11q14, 11q22, 14q32 and amplification of 17q21 were more frequent in metastatic SMGCs, suggesting that these CNAs are related to LN metastasis of early gastric cancer. In conclusion, our data suggest that generation of genetically distinct subclones, rather than acquisition of specific CNA at MU, is integral to the process of submucosal invasion, and that subclones that acquire gain of 11q13, 11q14, 11q22, 14q32 or amplification of 17q21 are likely to become metastatic.
| S-EPMC3141024 | biostudies-literature
Project description:We designed a study to investigate genetic relationships between primary tumors of oral squamous cell carcinoma (OSCC) and their lymph node metastases, and to identify genomic copy number aberrations (CNAs) related to lymph node metastasis. For this purpose, we collected a total of 42 tumor samples from 25 patients and analyzed their genomic profiles by array-based comparative genomic hybridization. We then compared the genetic profiles of metastatic primary tumors (MPTs) with their paired lymph node metastases (LNMs), and also those of LNMs with non-metastatic primary tumors (NMPTs). Firstly, we found that although there were some distinctive differences in the patterns of genomic profiles between MPTs and their paired LNMs, the paired samples shared similar genomic aberration patterns in each case. Unsupervised hierarchical clustering analysis grouped together 12 of the 15 MPT-LNM pairs. Furthermore, similarity scores between paired samples were significantly higher than those between non-paired samples. These results suggested that MPTs and their paired LNMs are composed predominantly of genetically clonal tumor cells, while minor populations with different CNAs may also exist in metastatic OSCCs. Secondly, to identify CNAs related to lymph node metastasis, we compared CNAs between grouped samples of MPTs and LNMs, but were unable to find any CNAs that were more common in LNMs. Finally, we hypothesized that subpopulations carrying metastasis-related CNAs might be present in both the MPT and LNM. Accordingly, we compared CNAs between NMPTs and LNMs, and found that gains of 7p, 8q and 17q were more common in the latter than in the former, suggesting that these CNAs may be involved in lymph node metastasis of OSCC. In conclusion, our data suggest that in OSCCs showing metastasis, the primary and metastatic tumors share similar genomic profiles, and that cells in the primary tumor may tend to metastasize after acquiring metastasis-associated CNAs.
| S-EPMC3573022 | biostudies-literature
Project description:BackgroundRectal cancer is one of the most common cancers in the world. Early detection and early therapy are important for the control of death caused by rectal cancer. The present study aims to investigate the genomic alterations in rectal adenoma and carcinoma.MethodsWe detected the genomic changes of 8 rectal adenomas and 8 carcinomas using array CGH. Then 14 genes were selected for analyzing the expression between rectal tumor and paracancerous normal tissues as well as from adenoma to carcinoma by real-time PCR. The expression of GPNMB and DIS3 were further investigated in rectal adenoma and carcinoma tissues by immunohistochemistry.ResultsWe indentified ten gains and 22 losses in rectal adenoma, and found 25 gains and 14 losses in carcinoma. Gains of 7p21.3-p15.3, 7q22.3-q32.1, 13q13.1-q14.11, 13q21.1-q32.1, 13q32.2-q34, 20p11.21 and 20q11.23-q12 and losses of 17p13.1-p11.2, 18p11.32-p11.21 and 18q11.1-q11.2 were shared by both rectal adenoma and carcinoma. Gains of 1q, 6p21.33-p21.31 and losses of 10p14-p11.21, 14q12-q21.1, 14q22.1-q24.3, 14q31.3-q32.1, 14q32.2-q32.32, 15q15.1-q21.1, 15q22.31 and 15q25.1-q25.2 were only detected in carcinoma but not in adenoma. Copy number and mRNA expression of EFNA1 increased from rectal adenoma to carcinoma. C13orf27 and PMEPA1 with increased copy number in both adenoma and carcinoma were over expressed in rectal cancer tissues. Protein and mRNA expression of GPNMB was significantly higher in cancer tissues than rectal adenoma tissues.ConclusionOur data may help to identify the driving genes involved in the adenoma-carcinoma progression.
| S-EPMC3533962 | biostudies-literature
Project description:This SuperSeries is composed of the SubSeries listed below.
2010-02-01 | GSE19575 | GEO
Project description:Mortality rates of pancreatic cancer remain high, which is mainly due to advanced disease and metastasis. We hypothesized that genomic copy number alterations are enriched in metastatic cells compared to autologous primary tumors, which may inform on cancer-related pathways possibly serving as potential targets for specific therapies. We investigated 18 pancreatic ductal adenocarcinomas, including 39 lymph node and 5 distant metastases after surgical resection. Analysis was performed with array-based comparative genomic hybridization (aCGH).Metastases acquire a higher frequency of copy number alterations with the highest in distant metastasis (median = 42, lymph node metastases: median = 23, primary tumors: median = 17). In lymph node metastases, gains were prevalent on chromosome bands 8q11.23-q24.3, 12q14.1, 17p12.1, 21q22.12, and losses on 3p21.31, 4p14, 8p23.3-p11.21,17p12-11.2. Genes on amplified regions are involved in cancer-related pathways such as WNT-signaling, also involved in metastasis.Pancreatic cancers show a high degree of intratumor heterogeneity, which could lead to resistance of chemotherapy and worse outcome. ACGH analysis reveals regions preferentially gained or lost in synchronous metastases encoding for genes involved in cancer-related pathways, which could lead to novel therapeutic opportunities.
| S-EPMC5674747 | biostudies-literature