Impact of a guaranteed access program to imatinib on the survival of patients with chronic myeloid leukemia.

Purpose: This work aimed to evaluate the impact of a guaranteed access program to imatinib on the survival of patients with Chronic Myeloid Leukemia.

Methods: We carried out a retrospective, observational, and analytical study of the database of patients diagnosed with Chronic Myeloid Leukemia of the Instituto Nacional de Cancerología and the Hospital General de México Dr. Eduardo to assess overall survival based on guaranteed access or not to imatinib.

Computational spectral imaging: a contemporary overview.

Spectral imaging collects and processes information along spatial and spectral coordinates quantified in discrete voxels, which can be treated as a 3D spectral data cube. The spectral images (SIs) allow the identification of objects, crops, and materials in the scene through their spectral behavior. Since most spectral optical systems can only employ 1D or maximum 2D sensors, it is challenging to directly acquire 3D information from available commercial sensors.

Robust Discovery of Mild Cognitive Impairment Subtypes and Their Risk of Alzheimer's Disease Conversion Using Unsupervised Machine Learning and Gaussian Mixture Modeling.

Background: Alzheimer's Disease (AD) is an irreversible, progressive brain disorder that slowly destroys memory and thinking skills. The ability to correctly predict the diagnosis of Alzheimer's disease in its earliest stages can help physicians make more informed clinical decisions on therapy plans.

Objective: This study aimed to determine whether the unsupervised discovering of latent classes of subjects with Mild Cognitive Impairment (MCI) may be useful in finding different prodromal AD stages and/or subjects with a low MCI to AD conversion risk.

Influence of Potato Crisps Processing Parameters on Acrylamide Formation and Bioaccesibility.

A fractional factorial design was used to evaluate the effects of temperature, frying time, blanching treatment and the thickness of potato slices on acrylamide content in crisps. The design was used on freshly harvested and four-month stored potatoes. The critical factors found were temperature and frying time, and the interaction between blanching treatment and slice thickness.

Different gene expression profiles in subcutaneous & visceral adipose tissues from Mexican patients with obesity.

Background & Objectives: Obesity is a health problem that requires substantial efforts to understand the physiopathology of its various types and to determine therapeutic strategies for its treatment. The objective of this study was to characterize differences in the global gene expression profiles of subcutaneous adipose tissue (SAT) and visceral adipose tissue (VAT) between control patients (normal weight) and patients with obesity (IMC≥30) using microarrays.

Methods: Employing RNA isolated from SAT and VAT samples obtained from eight control and eight class I, II and III patients with obesity, the gene expression profiles were compared between SAT and VAT using microarrays and the findings were validated via real-time quantitative polymerase chain reaction.

ESBL-colonization at ICU admission: impact on subsequent infection, carbapenem-consumption, and outcome.

Objective: To determine whether colonization with extended-spectrum β-lactamase-producing Enterobacteriaceae (ESBL-PE) predicts the risk for subsequent infection and impacts carbapenem-consumption and outcome in intensive care unit (ICU) patients.

Design: Prospective cohort study.

Setting: The 2 ICUs in the University Hospital Basel in Switzerland.

Safety of Dual Antiplatelet Therapy After Carotid Endarterectomy for Prevention of Restenosis: A Single Center Experience.

Introduction: The incidence of recurrent carotid stenosis after carotid endarterectomy varies from 1% to 37% with only 0-8% symptomatic restenosis. Safety of short-term (30 days) dual-antiplatelet therapy has not been established in this type of procedure.

Aims: To investigate the safety of dual antiplatelet therapy after carotid endarterectomy to prevent restenosis.

Inferring tumour purity and stromal and immune cell admixture from expression data.

Infiltrating stromal and immune cells form the major fraction of normal cells in tumour tissue and not only perturb the tumour signal in molecular studies but also have an important role in cancer biology. Here we describe 'Estimation of STromal and Immune cells in MAlignant Tumours using Expression data' (ESTIMATE)--a method that uses gene expression signatures to infer the fraction of stromal and immune cells in tumour samples. ESTIMATE scores correlate with DNA copy number-based tumour purity across samples from 11 different tumour types, profiled on Agilent, Affymetrix platforms or based on RNA sequencing and available through The Cancer Genome Atlas.

Modelling gene expression profiles related to prostate tumor progression using binary states.

Background: Cancer is a complex disease commonly characterized by the disrupted activity of several cancer-related genes such as oncogenes and tumor-suppressor genes. Previous studies suggest that the process of tumor progression to malignancy is dynamic and can be traced by changes in gene expression. Despite the enormous efforts made for differential expression detection and biomarker discovery, few methods have been designed to model the gene expression level to tumor stage during malignancy progression.

Compact cancer biomarkers discovery using a swarm intelligence feature selection algorithm.

Biomarker discovery is a typical application from functional genomics. Due to the large number of genes studied simultaneously in microarray data, feature selection is a key step. Swarm intelligence has emerged as a solution for the feature selection problem.