Current Genomics · 2008 · 20 citations · 44 references
MedicineMolecular BiologyMolecular GeneticsCancer GeneticsMolecular OncologyTumor ProgressionCancer GenomicsMolecular Tumor ProfilingOncogene MutationsOncogenic Signaling PathwaysTumor Suppressor GenesArray Comparative Genomic HybridizationGenome-wide CharacterizationP53 InactivationP53 MutationSnp ArraysTumor Suppressor Gene LossTumor Suppressor Gene MutationsTumor Suppressor P53
Cancer is caused by the spatial and temporal accumulation of alterations in the genome of a given cell. This leads to the deregulation of key signalling pathways that play a pivotal role in the control of cell proliferation and cell fate. The p53 tumor suppressor gene is the most frequent target in genetic alterations in human cancers. The primary selective advantage of such mutations is the elimination of cellular wild type p53 activity. In addition, many evidences in vitro and in vivo have demonstrated that at least certain mutant forms of p53 may possess a gain of function, whereby they contribute positively to cancer progression. The fine mapping and deciphering of specific cancer phenotypes is taking advantage of molecular-profiling studies based on genome-wide approaches. Currently, high-throughput methods such as array-based comparative genomic hybridization (CGH array), single nucleotide polymorphism array (SNP array), expression arrays and ChIP-on-chip arrays are available to study mutant p53-associated alterations in human cancers. Here we will mainly focus on the integration of the results raised through oncogenomic platforms that aim to shed light on the molecular mechanisms underlying mutant p53 gain of function activities and to provide useful information on the molecular stratification of tumor patients.
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Comparative Genomic Hybridization for Molecular Cytogenetic Analysis of Solid Tumors
Anne Kallioniemi, Olli Kallioniemi, Damir Sudar et al. · Science · 1992 · 3.3K citations
Crystal Structure of a p53 Tumor Suppressor-DNA Complex: Understanding Tumorigenic Mutations
Yunje Cho, Svetlana S. Gorina, Philip D. Jeffrey et al. · Science · 1994 · 2.5K citations
Tumor spectrum analysis in p53-mutant mice
Tyler Jacks, Lee Ann Remington, Bart O. Williams et al. · Current Biology · 1994 · 2.1K citations
Medicine, Cancer Biology, Oncology +12
Mutant p53 Gain of Function in Two Mouse Models of Li-Fraumeni Syndrome
Kenneth P. Olive, David A. Tuveson, Zachary C. Ruhe et al. · Cell · 2004 · 1.3K citations · Full text