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1.
Br J Oral Maxillofac Surg ; 46(3): 229-230, 2008 Apr.
Artigo em Inglês | MEDLINE | ID: mdl-17544554

RESUMO

Giant cell granulomas of the jaw (GCGJ) are non-familial, generally unilateral osteoclast-rich lesions that are histopathologically indistinguishable from cherubism. Cherubism is an autosomal dominant disease that is characterised by bilateral radiolucencies of the jaw, and caused by mutations that occur in SH3BP2 exon 10. The aim of the study was to screen lesional GCGJ tissue for SH3BP2 mutations. Lesional mononuclear stromal or spindle cells were microdissected from paraffin-embedded tissue from GCGJ, and DNA was then extracted and sequenced for SH3BP2 mutations associated with cherubism. No mutations were detected in 26 GCGJ (15 central, 11 peripheral), which indicated that people with GCGJ do not harbour cherubism-related germline SH3BP2 mutations, and that GCGJ do not harbour somatic SH3BP2 mutations. This suggests that cherubism and GCGJ arise on a different genetic background, and therefore detection of SH3BP2 mutations can be a useful means of distinguishing between them.


Assuntos
Proteínas Adaptadoras de Transdução de Sinal/genética , Querubismo/genética , Granuloma de Células Gigantes/genética , Doenças Maxilomandibulares/genética , Proteínas Adaptadoras de Transdução de Sinal/análise , Adulto , Idoso , Feminino , Granuloma de Células Gigantes/classificação , Humanos , Doenças Maxilomandibulares/classificação , Doenças Maxilomandibulares/diagnóstico por imagem , Masculino , Pessoa de Meia-Idade , Mutação de Sentido Incorreto/genética , Radiografia
2.
Mol Cancer Ther ; 4(12): 2008-15, 2005 Dec.
Artigo em Inglês | MEDLINE | ID: mdl-16373716

RESUMO

Several activating mutations in the cKIT receptor tyrosine kinase are associated with the development and progression of gastrointestinal stromal tumors (GIST). Treatment of GIST with the tyrosine kinase inhibitor imatinib (Gleevec, STI571; Novartis, Basel, Switzerland) increases patient survival. However, many patients develop resistance to imatinib following initial responses. We sequenced cKIT exons from two patients with GIST after the development of imatinib resistance, revealing a point mutation in kinase domain I (exon 13), Val654Ala, which has been associated previously with relapse and resistance. Molecular modeling of cKIT-imatinib complexes shows that this residue is located in the drug-binding site and that the Val654Ala mutation disrupts drug binding by removing hydrophobic contacts with the central diaminophenyl ring of imatinib. Loss of these contacts results in a destabilizing effect on two key hydrogen bonds between imatinib and Asp310 and Thr670 of cKIT. Calculations based on published crystallography data show an estimated destabilization energy of 2.25 kcal/mol in the Val654Ala cKIT compared with wild type. When present on the same cKIT allele as an oncogenic mutation, the Val654Ala mutation abolishes imatinib-mediated inhibition of cKIT phosphoactivation in vitro. These results highlight some of the structural and functional consequences of the Val654Ala mutation in relapsing imatinib-resistant GIST and emphasize the importance of tumor genetics in drug development and patient-specific cancer treatment regimens.


Assuntos
Alanina/genética , Antineoplásicos/metabolismo , Tumores do Estroma Gastrointestinal/genética , Mutação de Sentido Incorreto , Piperazinas/metabolismo , Pirimidinas/metabolismo , Fator de Células-Tronco/antagonistas & inibidores , Valina/genética , Alanina/química , Alelos , Sequência de Aminoácidos , Antineoplásicos/uso terapêutico , Sequência de Bases , Benzamidas , Linhagem Celular , Resistencia a Medicamentos Antineoplásicos , Feminino , Tumores do Estroma Gastrointestinal/etiologia , Humanos , Mesilato de Imatinib , Modelos Moleculares , Dados de Sequência Molecular , Piperazinas/uso terapêutico , Pirimidinas/uso terapêutico , Homologia de Sequência de Aminoácidos , Fator de Células-Tronco/química , Fator de Células-Tronco/genética , Valina/química
3.
Genome Biol ; 6(9): R76, 2005.
Artigo em Inglês | MEDLINE | ID: mdl-16168083

RESUMO

BACKGROUND: Bone and soft tissue tumors represent a diverse group of neoplasms thought to derive from cells of the mesenchyme or neural crest. Histological diagnosis is challenging due to the poor or heterogenous differentiation of many tumors, resulting in uncertainty over prognosis and appropriate therapy. RESULTS: We have undertaken a broad and comprehensive study of the gene expression profile of 96 tumors with representatives of all mesenchymal tissues, including several problem diagnostic groups. Using machine learning methods adapted to this problem we identify molecular fingerprints for most tumors, which are pathognomonic (decisive) and biologically revealing. CONCLUSION: We demonstrate the utility of gene expression profiles and machine learning for a complex clinical problem, and identify putative origins for certain mesenchymal tumors.


Assuntos
Perfilação da Expressão Gênica , Regulação Neoplásica da Expressão Gênica/genética , Mesoderma/metabolismo , Neoplasias de Tecido Conjuntivo e de Tecidos Moles/genética , Genes Neoplásicos/genética , Humanos , Modelos Biológicos , Neoplasias de Tecido Conjuntivo e de Tecidos Moles/diagnóstico
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