Homo sapiens
Ontology highlight
ABSTRACT:
OTHER RELATED OMICS DATASETS IN: GSE21032phs000310.v1.p1
PROVIDER: PRJNA129697 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:167 Ull-samples 244k array Tumor tissue from a series of 212 primary breast cancers were sequentially collected at Ullevål University Hospital, Oslo, Norway between 1990 and 1994. Tissues were collected at the time of primary surgery and snap frozen. We performed aCGH on 167 of these samples. DNA was isolated using chloroform/phenol extraction, followed by ethanol precipitation. The aCGH-platform was the Agilent Human genome CGH Microarray 244k. The aim of this study was to investigate the genome wide genomic copy number alterations in a cohort of primary breast cancer patients.
2010-07-06 | GSE20394 | GEO
Project description:Copy number alteration burden predicts prostate cancer relapse: Agilent 1M aCGH data for human primary prostate cancer samples
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Project description:Agilent 244K aCGH data for 10 human gastric cancers
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Project description:Expression profiling of 70 Pancreatic Ductal Adenocarcinoma (PDAC) samples was performed on Agilent 44K expression arrays for cancer gene discovery. Additionally, matched aCGH on Agilent 244K arrays was performed. These two datasets were integrated in order to identify driver mutations leading to pancreatic cancer. Promising candidates were interrogated further using functional studies.
2011-12-15 | GSE26088 | GEO
Project description:High resolution aCGH was performed on 10 primary Desmoplastic Melanomas (DMs). DMs are a rare subtype of melanoma known for their pronounced desmoplastic stroma and spindled melanocytes. 10 samples were hybridized to Agilent 1 Million feature two color arrays as compared to a panel of normal male DNA. 6 samples were hybridized to Agilent 244K feature two color arrays as compared to a panel of normal male DNA. 34 samples were hybridized to Agilent 180K feature two color arrays as compared to a panel of normal male DNA.
2015-08-07 | GSE55150 | GEO
Project description:This experiment was an aCGH study on 86 prostate tumors samples. The samples were profiled on Agilent Human Genome 44karrays to identify recurrent regions of deletion and amplification, thus revealing potential new tumor suppressor genes and/or oncogenes involved in prostate cancer. The CGH profile on the 44k arrays revealed a deletion at 5q21 in 17% of samples.
2011-12-19 | GSE29227 | GEO
Project description:Copy number alteration (CNA) is a good signpost to identify cancer related genes. CNAs were analyzed using the Agilent 244K array comparative genomic hybridization (aCGH) in fresh-frozen tumor and matched normal tissues from 10 gastric cancer patients.
2015-05-29 | GSE69318 | GEO
Project description:Through digital rectal examinations and routine prostate-specific antigen (PSA) screening, early treatment of prostate cancer has become possible. However, prostate cancer is a complex and heterogeneous disease. In many patients, cancer cells can invade adjacent tissues and metastasize to other tissues, resulting in difficultly to cure. For the treatment of primary and metastatic prostate cancer, a significant problem is how to improve its survival time. Here, we collect 7 untreated primary and metastatic prostate cancer and 6 benign prostate hyperplasia samples under ultrasound guidance by experienced radiologists using the 18-G needle. Through mass spectrometry, we have completely depicted the protein atlas of primary and metastatic prostate cancer and benign prostate hyperplasia. Through bioinformatics analysis, experimental verification, and combined clinical data, we discover that the ribosome signaling pathway promotes the progression of prostate cancer and is associated with a poor prognosis. Among them, Mrpl1, Mrpl4, and Mrpl16 may be biomolecular markers for diagnosis and prognosis.
2021-09-05 | PXD028211 |
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