Genomic landscape of pancreatic neuroendocrine tumors

Figure 1 Genomic data of primary pancreatic neuroendocrine tumors obtained by array-based comparative genomic hybridization were subjected to unsupervised hierarchical cluster analysis utilizing Euclidean distance and average linkage in order to detect sub-groups of tumors exhibiting a significant overlap with regard to recurrently observed copy number alterations. Two genomically distinct types of pancreatic neuroendocrine tumors were identified. Tumor group I included 5 tumors and group II consisted of 32 tumor samples. Moreover, we detected two distinct chromosomal clusters (a, b). Cluster a consisted of 9 loci recurrently harboring aberrations, whereas cluster b included 5 regions with frequent genomic imbalances. CNA: Copy number alterations.