Identification of a biomarker panel for colorectal cancer diagnosis

Background: Malignancies arising in the large bowel cause the second largest number of deaths from cancer in the Western World. Despite progresses made during the last decades, colorectal cancer remains one of the most frequent and deadly neoplasias in the western countries. Methods: A genomic study of human colorectal cancer has been carried out on a total of 31 tumoral samples, corresponding to different stages of the disease, and 33 non-tumoral samples. The study was carried out by hybridisation of the tumour samples against a reference pool of non-tumoral samples using Agilent Human 1A 60- mer oligo microarrays. The results obtained were validated by qRT-PCR. In the subsequent bioinformatics analysis, gene networks by means of Bayesian classifiers, variable selection and bootstrap resampling were built. The consensus among all the induced models produced a hierarchy of dependences and, thus, of variables. Results: After an exhaustive process of pre-processing to ensure data quality–lost values imputation, probes quality, data smoothing and intraclass variability filtering–the final dataset comprised a total of 8, 104 probes. Next, a supervised classification approach and data analysis was carried out to obtain the most relevant genes. Two of them are directly involved in cancer progression and in particular in colorectal cancer. Finally, a supervised classifier was induced to classify new unseen samples. Conclusions: We have developed a tentative model for the diagnosis of colorectal cancer based on a biomarker panel. Our results indicate that the gene profile described herein can discriminate between non-cancerous and cancerous samples with 94.45% accuracy using different supervised classifiers (AUC values in the range of 0.997 and 0.955).

Diseño de un array de antenas en tecnología microstrip

[ES]Este trabajo de fin de grado trata sobre el diseño de un array de antenas en tecnología microstrip para ser utilizado en la banda de 5 GHz del estándar de tecnologías inalámbricas IEEE 802.11a. Se buscará aplicar la teoría de arrays para conseguir la mayor ganancia posible, pero al mismo tiempo tratando de obtener un gran ancho de banda para que la antena sea óptima dentro de la mayor parte posible de la banda especificada. El proyecto partirá de un único parche microstrip para posteriormente ir evolucionando el diseño hasta llegar a un array de 2x2 elementos. Al primer diseño se le irán añadiendo progresivamente todos los componentes necesarios (red de adaptación, desfasadores, mayor número de parches, etc.) para poder ir estudiando las simulaciones a la vez que el diseño progresa. Todos los diseños se realizarán con el software ADS (Advanced Design System) de la compañía Agilent Technologies. Finalmente se fabricará el array diseñado y se medirá para contrastarlo con las simulaciones.