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1.
Rev. méd. Chile ; 147(1): 61-64, 2019. tab, graf
Artículo en Español | LILACS | ID: biblio-1043152

RESUMEN

Background: Cytogenetic abnormalities observed in the bone marrow of patients with multiple myeloma (MM) are an important prognostic factor for risk stratification. Aim: To investigate karyotype characteristics and frequency of the high-risk cytogenetic abnormalities t(4;14), t(14;16) and del(17p) in Chilean patients with MM. Material and Methods: We studied 30 patients with MM by conventional cytogenetics (CC) and fluorescent in situ hybridization of plasma cells selected using cytoplasmic immunoglobulin staining (cIg-FISH). Results: Overall, the two techniques in combination allowed us to identify clonal genetic abnormalities in 47% of patients. The t(4;14) abnormality was observed in 19% of patients, del(17p) was observed in 10% of patients, and t(14;16) was not detected. Conclusions: Our results showed frequencies of high-risk abnormalities similar to those reported abroad. Cytogenetic studies should be performed routinely for all MM patients at the moment of diagnosis.


Asunto(s)
Humanos , Masculino , Femenino , Adulto , Persona de Mediana Edad , Anciano , Aberraciones Cromosómicas , Mieloma Múltiple/genética , Valores de Referencia , Chile , Factores de Riesgo , Hibridación Fluorescente in Situ/métodos , Medición de Riesgo/métodos , Análisis Citogenético/métodos , Cariotipo
2.
Rev. ing. bioméd ; 7(14): 24-29, jul.-dic. 2013. graf
Artículo en Español | LILACS | ID: lil-769138

RESUMEN

Se calcularon los números atómicos efectivos totales y parciales de tejidos mamarios sanos y malignos, utilizando el software WinXcom y su base de datos; en el rango de energía de 10 keV ≤ E ≤ 500 keV. Los cálculos realizados, correspondientes a los procesos microscópicos relevantes involucrados, muestran que mediantes los mismos es posible describir y diferenciar los tejidos mamarios sanos y malignos entre sí.


We calculated effective atomic numbers partial of healthy and malignant breast tissues, using WinXcom software and database, in the energy range 10 keV ≤ E ≤ 500 keV. Calculations corresponding to the relevant microscopic processes involved, show that is possible describe and differentiate healthy and malignant breast tissues each other using partial effective atomic numbers.


Os números atômicos total e parciais de tecidos mamários saudáveis e malignas foram calculados utilizando o software WinXcom e o seu banco de dados, na faixa de energia de 10 keV ≤ E ≤ 500 keV. Os cálculos realizados, correspondentes aos processos microscópicos relevantes envolvidos mostram que pode-se descrever e diferenciar os tecidos mamários saudáveis e malignas.

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