Chromosomal instability, manifesting as copy number alterations (CNAs), is characteristic of pancreatic adenocarcinoma. We used bacterial artificial chromosome (BAC) array-based comparative genomic hybridization (aCGH) to examine the pancreatic adenocarcinoma genome for submicroscopic amplifications and deletions. Profiles of 33 samples (17 first-passage xenografts and 16 cell lines) identified numerous chromosomal regions with CNAs, including losses at 1p36.33 approximately p34.3, 1p13.3 approximately p13.2, 3p26, 3p25.2 approximately p22.3, 3p22.1 approximately p14.1, 4q28.3, 4q31, 4q35.1, 5q14.3, 6p, 6q, 8p23.3 approximately p12, 9p, 9q22.32 approximately q31.1, 13q33.2, 15q11.2, 16p13.3, 17p, 18q11.21 approximately q23 , 19p13.3 approximately p13.12, 19q13.2, 21p, 21q, and 22p, 22q and gains at 7p21.1 approximately p11.2, 7q31.32, 7q33, 8q11.1 approximately q24, 11p13, 14q22.2, 20p12.2, and 20q11.23 approximately q13.33. Novel regions containing CNAs were identified and refined by combining the increased resolution of our BAC CGH array with a statistical algorithm developed for assigning significance values to altered BACs across samples. A subset of array-based CNAs was validated using polymerase chain reaction-based techniques, immunohistochemistry and fluorescence in situ hybridization. BAC aCGH proved to be a powerful genome-wide strategy to identify molecular alterations in pancreatic cancer and to distinguish differences between cell line and xenograft aberration profiles. These findings should greatly facilitate further research in understanding the pathogenesis of this lethal disease, and could lead to the identification of novel therapeutic targets and biomarkers for early detection.