A biosensor capable of identifying low quantities of breast cancer cells by electrical impedance spectroscopy.

Breast cancer (BC) is a malignant disease with a high prevalence worldwide. The main cause of death is not the primary tumor, but instead the spread of tumor cells to distant sites. The aim of the present study was to examine a new method for the detection of cancer cells in aqueous medium using bioimpedance spectroscopy assisted with magnetic nanoparticles (MNP's) exposure to a constant magnetic field. The spectroscopic patterns were identified for three breast cancer cell lines. Each BC cell line represents a different pathologic stage: the early stage (MCF-7), invasive phase (MDA-MB-231) and metastasis (SK-BR-3). For this purpose, bioimpedance measurements were carried out at a certain frequency range with the aid of nanoprobes, consisting of magnetic nanoparticles (MNPs) coupled to a monoclonal antibody. The antibody was specific for the predominant cell surface protein for each cell line, which was identified by using RT-qPCR and flow cytometry. Accordingly, EpCAM corresponds to MCF-7, MUC-1 to MDA-MB-231, and HER-2 to SK-BR-3. Despite their low concentrations, BC cells could be detected by impedance spectroscopy. Hence, this methodology should permit the monitoring of circulating tumor cells (CTC) and therefore help to prevent recurrences and metastatic processes during BC treatment.

Electrical bioimpedance spectroscopy as biosensor technique to identify cells lineages and cell differentiation process.

The identification and characterization of diverse cells types and cell differentiation process requires complex techniques as flow cytometry, immunocytochemistry and the exploration of molecular markers; such techniques require infrastructure and qualified personnel. The objective of this study was to analyze the use of Electrical Bioimpedance Spectroscopy (EBIS) measurements as a non-complex alternative technique to identify populations of undifferentiated mouse Pluripotent Stem Cells (mPSCs), Mouse Embryonic Fibroblasts (MEFs) and the differentiation process from preadipocytes (3T3-L1) to mature adipocytes. EBIS measurements were compared in populations of cells which were characterized previously using microscopy. The results indicate that EBIS technique has a potential sensitivity at certain frequency range to discriminate between both evaluated cell populations and some differentiation process. Additional studies with different concentrations to evaluate quantitatively the sensitivity and specificity of the proposed technique are recommended.

Componentes Principales mediante Espectroscopia FTIR como Técnica de Caracterización Innovadora durante la Diferenciación de Células Madre Pluripotentes a Células Pancreáticas / Principal Components by FTIR Spectroscopy as Innovative Characterization Technique during Differentiation of Pluripotent Stem Cells to Pancreatic Cells

Resumen: Dos de los grandes retos en la biología de las Células Madre (CM) y la Medicina Regenerativa, son el control en la diferenciación de estas células y asegurar la pureza de las células diferenciadas, por lo que es necesario contar con técnicas rápidas, eficientes y precisas para la caracterización de CM y su diferenciación a diferentes linajes celulares. El objetivo de este trabajo fue analizar Células Madre Pluripotentes (CMP) y Células Pancreáticas Diferenciadas (CPD) mediante espectroscopía Infrarroja por Transformada de Fourier (FTIR) y Análisis de Componentes Principales (ACP). Para ello se diferenciaron CMP a CPD, caracterizando el proceso de diferenciación a los días 0, 11, 17 y 21 mediante microscopía óptica y espectroscopia vibracional. Los espectros FTIR se analizaron con el método multivariado de ACP, utilizando su segunda derivada en las regiones de proteínas, carbohidratos y ribosas. Los resultados indican que el ACP permite caracterizar y discriminar CMP y CPD en sus diferentes etapas de diferenciación en las regiones espectrales analizadas. Con lo anterior concluimos que el ACP permite caracterizar química y estructuralmente CMP y diferentes etapas de su diferenciación en una forma rápida, precisa y no invasiva.

Abstract: Two of the greatest challenges in Stem Cells (SCs) biology and regenerative medicine, are differentiation control of SCs and ensuring the purity of differentiated cells. In this sense, fast, efficient and accurate techniques for SCs characterization and their differentiation into different cell lineages are needed. The aim of this study was to analyse Pluripotent Stem Cells (PSCs) and Differentiated Pancreatic Cells (DPCs) by Fourier Transform Infrared (FTIR) spectroscopy and Principal Component Analysis (PCA). For this purpose, we differentiated PSCs toward DPCs, characterizing the differentiation process at different stages (0, 11, 17 and 21 days) through light microscopy and vibrational spectroscopy. FTIR spectra were analysed with the multivariate method of PCA, using the second derivatives in the protein, carbohydrate and ribose regions. The results indicate that the PCA allows to characterize and discriminate PSCs and DPCs at different stages of differentiation in the analysed spectral regions. From these results, we concluded that the PCA allows the chemically and structural characterization of PSCs and the different stages of their differentiation in a fast, accurate and non-invasive way.

Evaluación de Termografía Tisular Diferenciada en Mama como Potencial Técnica para Asistir la Detección de Cáncer / Evaluation of Thermography Differentiated in Breast Tissue as Potential Technique to Assist Cancer Detection

Diversos grupos han propuesto el procesamiento de imágenes termográficas para detección de Cáncer de Mama (CaMa). Angiogénesis y vascularización dependientes del ciclo menstrual, edad e Índice de Masa Corporal (IMC) modifican la temperatura absoluta en la superficie tisular sin estar necesariamente asociadas a malignidad, en éste estudio proponemos la Termografía Tisular Diferenciada (TTD) en mama con respecto a su contralateral en espejo con el fin de observar diferencias térmicas características de malignidad. El presente trabajo evalúa la posibilidad de emplear la TTD como potencial técnica para asistir la detección de CaMa. Se muestrearon 110 mujeres voluntarias entre 40 y 60 años de edad segmentadas en dos grupos experimentales: grupo sanas (n=90) y grupo con CaMa (n=20) previamente diagnosticadas por mastografía e histopatología. Imágenes termográficas de ambas mamas fueron adquiridas con una cámara infrarroja y se estimó la TTD en relación a la mama contralateral de la misma paciente, se realizó un análisis de sensibilidad y especificidad y se comparó con el diagnóstico radiológico a través de curvas ROC tomando como referencia el diagnóstico histopatológico. La TTD en mama mostró rangos dinámicos diferenciables entre condiciones de malignidad respecto a benignidad. El análisis ROC mostró valores de sensibilidad y especificidad para el estimado TTD del 70% y 54% mientras que para el diagnóstico radiológico fue del 70% y 96%, respectivamente. La TTD muestra viabilidad técnica para asistir la detección de CaMa.

Several groups have proposed thermographic image processing for Breast Cancer (BC) detection. Angiogenesis and vascularization of menstrual cycle dependent, as well as age and Body Mass Index change the absolute temperature in the tissue surface without necessarily being associated with malignancy. We have proposed the Differentiated Tissue Thermography (DTT) in breast regarding its contralateral mirror in order to observe differences in temperature characteristics of malignancy. This study evaluates the possibility of using breast DTT as a potential technique to assist the detection of BC. We sampled 110 female volunteers between 40 and 60 years old segmented into two experimental groups: healthy group (n=90) and BC group (n=20), which were diagnosed by mammography and histopathology. Thermal images of both breasts were acquired with an infrared camera and the DTT was estimated relative to its contralateral breast in the same patient. A sensitivity and specificity analysis was developed and the DTT was compared with the radiological diagnosis by ROC curves with the histopathological report as reference. The DTT values showed distinguishable dynamic ranges between malignant and healthy conditions. ROC analysis showed sensitivity and specificity values for DTT of 70% and 54% while for the radiological diagnosis was 70% and 96% respectively. DTT showed technical viability to assist BC detection.