RESUMO
BACKGROUND: BRAF(V600) inhibitors have offered a new gateway for better treatment of metastatic melanoma. However, the overall efficacy of BRAF(V600) inhibitors has been lower than expected in clinical trials, and many patients have shown resistance to the drug's effect. We hypothesized that somatic mutations in the Phosphoinositide 3-Kinase (PI3K) pathway, which promotes proliferation and survival, may coincide with BRAF(V600) mutations and contribute to chemotherapeutic resistance. METHODS: We performed a somatic mutation profiling study using the 454 FLX pyrosequencing platform in order to identify candidate cancer genes within the MAPK and PI3K pathways of melanoma patients. Somatic mutations of theses candidate cancer genes were then confirmed using Sanger sequencing. RESULTS: As expected, BRAF(V600) mutations were seen in 51% of the melanomas, whereas NRAS mutations were seen in 19% of the melanomas. However, PI3K pathway mutations, though more heterogeneous, were present in 41% of the melanoma, with PTEN being the highest mutated PI3K gene in melanomas (22%). Interestingly, several novel PI3K pathway mutations were discovered in MTOR, IRS4, PIK3R1, PIK3R4, PIK3R5, and NFKB1. PI3K pathway mutations co-occurred with BRAF(V600) mutations in 17% of the tumors and co-occurred with 9% of NRAS mutant tumors, implying cooperativity between these pathways in terms of melanoma progression. CONCLUSIONS: These novel PI3K pathway somatic mutations could provide alternative survival and proliferative pathways for metastatic melanoma cells. They therefore may be potential chemotherapeutic targets for melanoma patients who exhibit resistance to BRAF(V600) inhibitors.
Assuntos
1-Fosfatidilinositol 4-Quinase/genética , Melanoma/genética , Mutação , Transdução de Sinais/genética , Adolescente , Adulto , Idoso , Alelos , Sequência de Aminoácidos , Sequência de Bases , Análise Mutacional de DNA , Feminino , Frequência do Gene , Predisposição Genética para Doença/genética , Genótipo , Humanos , Sistema de Sinalização das MAP Quinases/genética , Masculino , Melanoma/patologia , Pessoa de Meia-Idade , Metástase Neoplásica , Proteínas Proto-Oncogênicas B-raf/genética , Homologia de Sequência de Aminoácidos , Homologia de Sequência do Ácido Nucleico , Adulto Jovem , Proteínas ras/genéticaRESUMO
We used digital long serial analysis of gene expression to discover gene expression differences between node-negative and node-positive colorectal tumors and developed a multigene classifier able to discriminate between these two tumor types. We prepared and sequenced long serial analysis of gene expression libraries from one node-negative and one node-positive colorectal tumor, sequenced to a depth of 26,060 unique tags, and identified 262 tags significantly differentially expressed between these two tumors (P < 2 x 10(-6)). We confirmed the tag-to-gene assignments and differential expression of 31 genes by quantitative real-time polymerase chain reaction, 12 of which were elevated in the node-positive tumor. We analyzed the expression levels of these 12 upregulated genes in a validation panel of 23 additional tumors and developed an optimized seven-gene logistic regression classifier. The classifier discriminated between node-negative and node-positive tumors with 86% sensitivity and 80% specificity. Receiver operating characteristic analysis of the classifier revealed an area under the curve of 0.86. Experimental manipulation of the function of one classification gene, Fibronectin, caused profound effects on invasion and migration of colorectal cancer cells in vitro. These results suggest that the development of node-positive colorectal cancer occurs in part through elevated epithelial FN1 expression and suggest novel strategies for the diagnosis and treatment of advanced disease.