Characterization of Computed Tomography Imaging of Rearranged During Transfection-rearranged Lung Cancer.
Clin Lung Cancer
; 19(5): 435-440.e1, 2018 09.
Article
en En
| MEDLINE
| ID: mdl-29885946
ABSTRACT
BACKGROUND:
Rearranged during transfection (RET)-rearranged non-small-cell lung cancer (NSCLC) is relatively rare and the clinical and computed tomography (CT) image characteristics of patients with an advanced disease stage have not been well documented. PATIENTS ANDMETHODS:
We identified patients with advanced-stage RET-rearranged NSCLC treated in the Cancer Institute Hospital, Japanese Foundation for Cancer Research, and analyzed the clinical and CT imaging characteristics.RESULTS:
In 21 patients with advanced RET-rearranged NSCLC, RET rearrangements were identified using fluorescence in situ hybridization and/or reverse transcriptase-polymerase chain reaction. The fusion partner genes were identified as KIF5B (57%), CCDC6 (19%), and unknown (24%). CT imaging showed that 12 primary lesions (92%) were peripherally located and all were solid tumors without ground-glass, air bronchograms, or cavitation. The median size of the primary lesions was 30 mm (range, 12-63 mm). Of the 18 patients with CT images before initial chemotherapy, 12 (67%) showed an absence of lymphadenopathy. Distant metastasis included 13 with pleural dissemination (72%), 10 with lung metastasis (56%), 8 with bone metastasis (44%), and 2 with brain metastasis (11%).CONCLUSION:
Advanced RET-rearranged NSCLC manifested as a relatively small and peripherally located solid primary lesion with or without small solitary lymphadenopathy. Pleural dissemination was frequently observed.Palabras clave
Texto completo:
1
Base de datos:
MEDLINE
Asunto principal:
Reordenamiento Génico
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Adenocarcinoma
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Tomografía Computarizada por Rayos X
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Carcinoma de Pulmón de Células no Pequeñas
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Proteínas Proto-Oncogénicas c-ret
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Neoplasias Pulmonares
Tipo de estudio:
Observational_studies
/
Prognostic_studies
Idioma:
En
Revista:
Clin Lung Cancer
Asunto de la revista:
NEOPLASIAS
Año:
2018
Tipo del documento:
Article