Homo sapiens
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA153907 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:This SuperSeries is composed of the following subset Series: GSE22615: Genomic alterations of chromosome 11 induce transcriptomic dysregulation in aggressive and malignant prolactin tumours GSE22812: Transcriptomic dysregulation in aggressive and malignant prolactin tumours Refer to individual Series
2011-09-15 | E-GEOD-32191 | biostudies-arrayexpress
Project description:Genomic alterations of chromosome 11 induce transcriptomic dysregulation in aggressive and malignant prolactin tumours
| PRJNA153905 | ENA
Project description:Pituitary tumours are generally benign. However, many are invasive and some of these are aggressive with high proliferation and recurrence rates. Only metastatic tumours are considered malignant and are rare (0.2%). To identify molecular events associated with the aggressive and malignant phenotypes, we combined a comparative genomic hybridization and transcriptomic analysis of 13 prolactin (PRL) tumours classified as non-invasive (NI; n=5), invasive (I; n=2) or aggressive-invasive (AI; n=6). Each tumour showed copy number alterations which appeared to be varied and discrete in the NI and I tumour groups, and more numerous and extensive in the AI tumour group. Allelic loss within the p arm region of chromosome 11 was detected in five of the AI tumours. This region contains the cytobands 11p15.2, 11p15.1, 11p14.3, 11p14.2, 11p14.1, 11p13, 11p12 and 11p11.2. Furthermore, an allelic loss in the 11q arm was also observed in three of these five tumours, which were considered malignant based on the presence of metastases. The comparison of genomic and transcriptomic data showed that allelic loss impacted upon the expression of genes located in the imbalanced region. An original data filtering strategy allowed us to highlight five genes (DGKZ, CD44, TSG101, GTF2H1 and HTATIP2), within the missing 11p region, potentially responsible for triggering the aggressive and malignant phenotypes of PRL tumours. Our novel combined genomic and transcriptomic analysis underlines the importance of chromosome 11 allelic loss in aggressive and malignant PRL tumours and led us to propose a new strategy to find markers of progression in rare tumours. Transcriptomic analysis of Codelink Human Whole Genome Bioarray was performed for 13 prolactin tumors: 6 aggressive-invasive, 2 invasive, and 5 non-invasive.
2011-03-16 | E-GEOD-22812 | biostudies-arrayexpress
Project description:Pituitary tumors are generally considered as benign. However, many are invasive (45 to 55%) and some are described as aggressive with a high proliferation rate and short post-operative time to recurrence and 0.2% metastasize. The molecular events associated to the progression of the pituitary tumor toward an aggressive and malignant phenotype is still unresolved. To bring new hypothesis on signaling pathways associated to the tumor progression, we applied a wide genome analysis approach combining transcriptome analysis and CGH analysis on the same 13 prolactin tumours classified as non-invasive (n=5), invasive (n=2) and agressive-invasive tumors (n=6). In 5/6 agressive-invasive tumours a loss of a common region in the p arm of the chromosome 11 was detected. This region extending from position 14.9 to position 46.5 Mb harbours the cytobands 11p15.2, 11p15.1, 11p14.3, 11p14.2, 11p14.1, 11p13, 11p12 and 11p11.2. In 3 of these 5 tumours considered as carcinomas because of the presence of metastasis, an allelic loss is also observed in the 11q arm. The combination of data coming from genome structure exploration and transcriptomic analysis showed that allelic loss impact the expression of genes harbored in the imbalanced region. Data filtering strategy allowed us to highlight among the 139 genes harbored in the 11p region loss, 5 genes (DGKZ, CD44, TSG101, GTF2H1 and HTATIP2) that could be candidate gene for triggering the progression of prolactin tumour toward an aggressive and malignant phenotype. Finally, specific DNA alterations give one molecular argument more to consider agressive-invasive tumour and carcinomas as a distinct step in progression of the pituitary tumours. Copy number analysis of Affymetrix Genome-Wide Human SNP Array 6.0 was performed for 13 prolactin tumors, 6 aggressive-invasive, 2 invasive, 5 non-invasive. The same analysis was performed for one normal pituitary and one genomic DNA called "reference 103" from Affymetrix.
2011-03-16 | E-GEOD-22615 | biostudies-arrayexpress
Project description:Pituitary tumours are generally benign. However, many are invasive and some of these are aggressive with high proliferation and recurrence rates. Only metastatic tumours are considered malignant and are rare (0.2%). To identify molecular events associated with the aggressive and malignant phenotypes, we combined a comparative genomic hybridization and transcriptomic analysis of 13 prolactin (PRL) tumours classified as non-invasive (NI; n=5), invasive (I; n=2) or aggressive-invasive (AI; n=6). Each tumour showed copy number alterations which appeared to be varied and discrete in the NI and I tumour groups, and more numerous and extensive in the AI tumour group. Allelic loss within the p arm region of chromosome 11 was detected in five of the AI tumours. This region contains the cytobands 11p15.2, 11p15.1, 11p14.3, 11p14.2, 11p14.1, 11p13, 11p12 and 11p11.2. Furthermore, an allelic loss in the 11q arm was also observed in three of these five tumours, which were considered malignant based on the presence of metastases. The comparison of genomic and transcriptomic data showed that allelic loss impacted upon the expression of genes located in the imbalanced region. An original data filtering strategy allowed us to highlight five genes (DGKZ, CD44, TSG101, GTF2H1 and HTATIP2), within the missing 11p region, potentially responsible for triggering the aggressive and malignant phenotypes of PRL tumours. Our novel combined genomic and transcriptomic analysis underlines the importance of chromosome 11 allelic loss in aggressive and malignant PRL tumours and led us to propose a new strategy to find markers of progression in rare tumours.
2011-03-16 | GSE22812 | GEO
Project description:Pituitary tumors are generally considered as benign. However, many are invasive (45 to 55%) and some are described as aggressive with a high proliferation rate and short post-operative time to recurrence and 0.2% metastasize. The molecular events associated to the progression of the pituitary tumor toward an aggressive and malignant phenotype is still unresolved. To bring new hypothesis on signaling pathways associated to the tumor progression, we applied a wide genome analysis approach combining transcriptome analysis and CGH analysis on the same 13 prolactin tumours classified as non-invasive (n=5), invasive (n=2) and agressive-invasive tumors (n=6). In 5/6 agressive-invasive tumours a loss of a common region in the p arm of the chromosome 11 was detected. This region extending from position 14.9 to position 46.5 Mb harbours the cytobands 11p15.2, 11p15.1, 11p14.3, 11p14.2, 11p14.1, 11p13, 11p12 and 11p11.2. In 3 of these 5 tumours considered as carcinomas because of the presence of metastasis, an allelic loss is also observed in the 11q arm. The combination of data coming from genome structure exploration and transcriptomic analysis showed that allelic loss impact the expression of genes harbored in the imbalanced region. Data filtering strategy allowed us to highlight among the 139 genes harbored in the 11p region loss, 5 genes (DGKZ, CD44, TSG101, GTF2H1 and HTATIP2) that could be candidate gene for triggering the progression of prolactin tumour toward an aggressive and malignant phenotype. Finally, specific DNA alterations give one molecular argument more to consider agressive-invasive tumour and carcinomas as a distinct step in progression of the pituitary tumours.
2011-03-16 | GSE22615 | GEO
Project description: Not available
| S-EPMC2531291 | biostudies-literature
Project description:RNA extracted at 240min. Samples are rRNA depleted. Expression measurement of Homo sapiens genes.
2019-07-31 | GSE114179 | GEO
Project description: Not available
| S-EPMC4686780 | biostudies-literature