Cancer Research · 2007 · 100 citations · 44 references
MedicineGeneticsOncologyCancer GeneticsMolecular OncologyOncogenesCancer GenomicsMalignant NeoplasmsOncogenic Signaling PathwaysRas Family OncogenesTumor AntigensTumor-associated AntigensBrca1 InactivationBreast Cancer PrognosisCancer Signaling PathwaysMolecular Genetic ArchitecturePrognostic Gene SignaturesTransgenic Mouse Cancer ModelsTumor Antigen Expression ProfilingTumor-specific Biomarkers
Understanding the genetic architecture of cancer pathways that distinguishes subsets of human cancer is critical to developing new therapies that better target tumors based on their molecular expression profiles. In this study, we identify an integrated gene signature from multiple transgenic models of epithelial cancers intrinsic to the functions of the Simian virus 40 T/t-antigens that is associated with the biological behavior and prognosis for several human epithelial tumors. This genetic signature, composed primarily of genes regulating cell replication, proliferation, DNA repair, and apoptosis, is not a general cancer signature. Rather, it is uniquely activated primarily in tumors with aberrant p53, Rb, or BRCA1 expression but not in tumors initiated through the overexpression of myc, ras, her2/neu, or polyoma middle T oncogenes. Importantly, human breast, lung, and prostate tumors expressing this set of genes represent subsets of tumors with the most aggressive phenotype and with poor prognosis. The T/t-antigen signature is highly predictive of human breast cancer prognosis. Because this class of epithelial tumors is generally intractable to currently existing standard therapies, this genetic signature identifies potential targets for novel therapies directed against these lethal forms of cancer. Because these genetic targets have been discovered using mammary, prostate, and lung T/t-antigen mouse cancer models, these models are rationale candidates for use in preclinical testing of therapies focused on these biologically important targets.
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Molecular portraits of human breast tumours
Charles M. Perou, Thérese Sørlie, Michael B. Eisen et al. · Nature · 2000 · 16.3K citations
Gene expression profiling predicts clinical outcome of breast cancer
Laura van ‘t Veer, Hongyue Dai, Marc J. van de Vijver et al. · Nature · 2002 · 9.6K citations · Full text