Discovery of cancer common and specific driver gene sets.

摘要: Cancer is known as a disease mainly caused by gene alterations. Discovery of mutated driver pathways or sets becoming an important step to understand molecular mechanisms carcinogenesis. However, systematically investigating commonalities and specificities among multiple cancer types still great challenge, but this investigation will undoubtedly benefit deciphering cancers be helpful for personalized therapy precision medicine in treatment. In study, we propose two optimization models de novo discover common (ComMDP) specific one certain other (SpeMDP), respectively. We first apply ComMDP SpeMDP simulated data validate their efficiency. Then, further these methods 12 from The Genome Atlas (TCGA) obtain several biologically meaningful pathways. As examples, construct pathway model BRCA OV, infer complex carcinogenesis based on with eight types, investigate the liquid lymphoblastic acute myeloid leukemia (LAML) versus solid types. processes more candidate genes are also found.