The histology-based Gleason score (GS) of prostate cancer (PCa) tissue biopsy is the most accurate predictor of disease aggressiveness and an important measure to guide treatment strategies and patien Show more
The histology-based Gleason score (GS) of prostate cancer (PCa) tissue biopsy is the most accurate predictor of disease aggressiveness and an important measure to guide treatment strategies and patient management. The variability associated with PCa tumor sampling and the subjective determination of the GS are challenges that limit accurate diagnostication and prognostication. Thus, novel molecular signatures are needed to distinguish between indolent and aggressive forms of PCa for better patient management and outcomes. Herein, label-free LC-MS/MS proteomics is used to profile the proteome of 50 PCa tissues spanning five grade groups (n = 10 per group) relative to tissues from individuals with benign prostatic hyperplasia (BPH). Over 2000 proteins are identified albeit at different levels between and within the patient groups, revealing biological processes associated with specific grades. A panel of 11 prostate-derived proteins including IGKV3D-20, RNASET2, TACC2, ANXA7, LMOD1, PRCP, GYG1, NDUFV1, H1FX, APOBEC3C, and CTSZ display the potential to stratify patients from low and high PCa grade groups. Parallel reaction monitoring of the same sample cohort validate the differential expression of LMOD1, GYG1, IGKV3D-20, and RNASET2. The four proteins associated with low and high PCa grades reported here warrant further exploration as candidate biomarkers for PCa aggressiveness. Show less
The diagnostic and treatment of sepsis continue to challenger all, and, more specific forms to approach are absolutely necessary. The objective of this study was to use proteomics techniques, two-dime Show more
The diagnostic and treatment of sepsis continue to challenger all, and, more specific forms to approach are absolutely necessary. The objective of this study was to use proteomics techniques, two-dimensional electrophoresis and mass spectrometry, to verify the differential protein expression between serum of patients with sepsis and health controls. Samples of serum the 30 patients with sepsis, caused for different types of microorganisms and serum of 30 health controls were obtained for analysis. Next, were submitted to 2D-SDS-PAGE, gels compared, selection of spots for excision and digestion with trypsin, being the peptides analyzed for MALDI TOF-TOF. The obtained spectrums were processed (Mascot-matrix science) for protein identification in NCBInr Data Bank. Image analyses showed several spots with differential expressions in the gels of the patients with sepsis in relation to the controls. The protein identification of some of these spots founded: Orosomucoid 1 precursor, Apolipoprotein A-IV, Apolipoprotein A-IV precursor, Haptoglobin protein precursor, Haptoglobin, Zinc finger protein, Serum amyloid A-1, Transthyretin, Nebulin, Complement C4, Alpha1-Antitrypsin, Unnamed protein product and others. Serum of the patients with different types of sepsis express characteristic protein profiles by 2D-SDS-PAGE compared with controls. The most expressed were from acute phase proteins and lipoproteins. It is possible in the future, with proteomics, create diagnostic panel of proteins, finding news biomarkers and targets for therapeutic interventions in sepsis. This is a first description, with proteomics, of the alterations in protein expression, in serum of the patients with sepsis. Show less