As there are only 30 fusions in your list, I would first do a manual mining using google/pubmed. Fusions are quite rare events and the set of known fusion pairs is really sparse, so you are going to get few publication hits that could read in a reasonable time. I also advice to check if your fusion is not a common read-through event that are typical for healthy cells.

If you're interested in fusion genes in cancer, check out Mitelman DB, TICdb and ChimerDB 2.0

For a set of novel fusions, you can try out ranking them according to their oncogenic potential and look at the resulting expression change/domain composition. This would give you some insights on their possible functional role. Have a look at Oncofuse, Chimera package and Pegasus

Good luck!