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Determination of somatic oncogenic mutations linked to target-based therapies using MassARRAY technology.
Ibarrola-Villava, Maider; Fleitas, Tania; Llorca-Cardeñosa, Marta J; Mongort, Cristina; Alonso, Elisa; Navarro, Samuel; Burgues, Octavio; Vivancos, Ana; Cejalvo, Juan Miguel; Perez-Fidalgo, José Alejandro; Roselló, Susana; Ribas, Gloria; Cervantes, Andrés.
Afiliación
  • Ibarrola-Villava M; Hematology and Medical Oncology Unit, Biomedical Research Institute INCLIVA, Valencia, Spain.
  • Fleitas T; Hematology and Medical Oncology Unit, Biomedical Research Institute INCLIVA, Valencia, Spain.
  • Llorca-Cardeñosa MJ; Hematology and Medical Oncology Unit, Biomedical Research Institute INCLIVA, Valencia, Spain.
  • Mongort C; Department of Pathology, Biomedical Research Institute INCLIVA, Valencia, Spain.
  • Alonso E; Department of Pathology, Biomedical Research Institute INCLIVA, Valencia, Spain.
  • Navarro S; Department of Pathology, Biomedical Research Institute INCLIVA, Valencia, Spain.
  • Burgues O; Department of Pathology, Biomedical Research Institute INCLIVA, Valencia, Spain.
  • Vivancos A; Cancer Genomics Group, Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain.
  • Cejalvo JM; Hematology and Medical Oncology Unit, Biomedical Research Institute INCLIVA, Valencia, Spain.
  • Perez-Fidalgo JA; Hematology and Medical Oncology Unit, Clinic University Hospital of Valencia, Valencia, Spain.
  • Roselló S; Hematology and Medical Oncology Unit, Clinic University Hospital of Valencia, Valencia, Spain.
  • Ribas G; Hematology and Medical Oncology Unit, Biomedical Research Institute INCLIVA, Valencia, Spain.
  • Cervantes A; Hematology and Medical Oncology Unit, Biomedical Research Institute INCLIVA, Valencia, Spain.
Oncotarget ; 7(16): 22543-55, 2016 Apr 19.
Article en En | MEDLINE | ID: mdl-26968814
ABSTRACT
Somatic mutation analysis represents a useful tool in selecting personalized therapy. The aim of our study was to determine the presence of common genetic events affecting actionable oncogenes using a MassARRAY technology in patients with advanced solid tumors who were potential candidates for target-based therapies. The analysis of 238 mutations across 19 oncogenes was performed in 197 formalin-fixed paraffin-embedded samples of different tumors using the OncoCarta Panel v1.0 (Sequenom Hamburg, Germany). Of the 197 specimens, 97 (49.2%) presented at least one mutation. Forty-nine different oncogenic mutations in 16 genes were detected. Mutations in KRAS and PIK3CA were detected in 40/97 (41.2%) and 30/97 (30.9%) patients respectively. Thirty-one patients (32.0%) had mutations in two genes, 20 of them (64.5%) initially diagnosed with colorectal cancer. The co-occurrence of mutation involved mainly KRAS, PIK3CA, KIT and RET. Mutation profiles were validated using a customized panel and the Junior Next-Generation Sequencing technology (GS-Junior 454, Roche). Twenty-eight patients participated in early clinical trials or received specific treatments according to the molecular characterization (28.0%). MassARRAY technology is a rapid and effective method for identifying key cancer-driving mutations across a large number of samples, which allows for a more appropriate selection for personalized therapies.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Análisis Mutacional de ADN / Espectrometría de Masa por Láser de Matriz Asistida de Ionización Desorción / Medicina de Precisión / Secuenciación de Nucleótidos de Alto Rendimiento / Neoplasias Límite: Adult / Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Revista: Oncotarget Año: 2016 Tipo del documento: Article País de afiliación: España

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Análisis Mutacional de ADN / Espectrometría de Masa por Láser de Matriz Asistida de Ionización Desorción / Medicina de Precisión / Secuenciación de Nucleótidos de Alto Rendimiento / Neoplasias Límite: Adult / Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Revista: Oncotarget Año: 2016 Tipo del documento: Article País de afiliación: España