Lipidomic Signatures for Colorectal Cancer Diagnosis and Progression Using UPLC-QTOF-ESIMS.

Metabolomics coupled with bioinformatics may identify relevant biomolecules such as putative biomarkers of specific metabolic pathways related to colorectal diagnosis, classification and prognosis. This study performed an integrated metabolomic profiling of blood serum from 25 colorectal cancer (CRC) cases previously classified (Stage I to IV) compared with 16 controls (disease-free, non-CRC patients), using high-performance liquid chromatography and mass spectrometry (UPLC-QTOF-ESI MS). More than 400 metabolites were separated and identified, then all data were processed by the advanced Metaboanalyst 5.

The decrease of some serum free amino acids can predict breast cancer diagnosis and progression.

This study was targeted on a metabolomic approach to compare the blood serum free amino acid profiles and concentration of confirmed breast cancer (stages I-III) patients to healthy controls in order to establish reliable biomarkers of early detection and prediction of breast cancer. The ultra-high-performance liquid chromatography coupled with mass spectrometry using positive ionization electrospray was applied for the picoline-derivatized serum free amino acids using the EZ:faastTM kit. Multivariate statistical analysis principal component analysis, partial least squares discrimination analysis and univariate analysis were applied in order to discriminate between patient groups and putative amino acid biomarkers for breast cancer.

[Non-ulcerous duodenal perforations: a clinical analysis of 23 cases].

Non-ulcerous duodenal perforations are a rare and seldom studied pathology. The present retrospective study analyses a group of 23 patients, over a 10 year period (Jan 1st 2000 - Dec 31st 2009) with this pathology. The most frequent etiology was iatrogenic (52.