In a large series of ovarian carcinomas from 244 patients, 134 cases had chromosome rearrangements. We showed before that the pattern of chromosome breakpoints involved 21 separate chromosome regions nonrandomly and, in 90% of cases with breaks, the breakpoints occurred within 13 commonly involved regions. Log-rank and proportional hazards regression analyses showed that the aggregate presence of a chromosome breakpoint in any of 21 nonrandomly involved regions and breaks in 9 distinct regions (1p1, 1q2, 1p3, 3p1, 6p2, 11p1, 11q1, 12q2, and 13p1) were associated with reduced patient survival. Breakpoints in other areas of the genome, including other nonrandomly involved regions, were not associated with decreased survival. Because many cases had breakpoints in more than one nonrandomly involved region, proportional hazards regression was also used to analyze for effects of each nonrandomly involved region, controlling for effects of other regions. With this approach, only breakpoints within 1p1 and 3p1 retained independent, deleterious effects on survival. Similarly, when nonrandomly involved regions were entered into a proportional hazards model containing clinical variables associated with altered patient survival (tumor grade, tumor stage, and residual disease > 1 cm after resection), only 1p1 (P = 0.007) and 3p1 (P = 0.04) were associated with independent, negative effects on survival. These studies demonstrate that chromosome breakpoints within specific, nonrandomly involved chromosome regions are associated with impaired survival in ovarian cancers. Regions 1p1 and 3p1 are identified as areas of particular significance and are appropriate targets for analytical techniques such as SAGE and microarray analysis.