|A combined blood based gene expression and plasma protein abundance signature for diagnosis of epithelial ovarian cancer--a study of the OVCAD consortium.|
Pils, D; Tong, D; Hager, G; Obermayr, E; Aust, S; Heinze, G; Kohl, M; Schuster, E; Wolf, A; Sehouli, J; Braicu, I; Vergote, I; Van Gorp, T; Mahner, S; Concin, N; Speiser, P; Zeillinger, R
The immune system is a key player in fighting cancer. Thus, we sought to identify a molecular 'immune response signature' indicating the presence of epithelial ovarian cancer (EOC) and to combine this with a serum protein biomarker panel to increase the specificity and sensitivity for earlier detection of EOC.Comparing the expression of 32,000 genes in a leukocytes fraction from 44 EOC patients and 19 controls, three uncorrelated shrunken centroid models were selected, comprised of 7, 14, and 6 genes. A second selection step using RT-qPCR data and significance analysis of microarrays yielded 13 genes (AP2A1, B4GALT1, C1orf63, CCR2, CFP, DIS3, NEAT1, NOXA1, OSM, PAPOLG, PRIC285, ZNF419, and BC037918) which were finally used in 343 samples (90 healthy, six cystadenoma, eight low malignant potential tumor, 19 FIGO I/II, and 220 FIGO III/IV EOC patients). Using new 65 controls and 224 EOC patients (thereof 14 FIGO I/II) the abundances of six plasma proteins (MIF, prolactin, CA125, leptin, osteopondin, and IGF2) was determined and used in combination with the expression values from the 13 genes for diagnosis of EOC.Combined diagnostic models using either each five gene expression and plasma protein abundance values or 13 gene expression and six plasma protein abundance values can discriminate controls from patients with EOC with Receiver Operator Characteristics Area Under the Curve values of 0.998 and bootstrap .632+ validated classification errors of 3.1% and 2.8%, respectively. The sensitivities were 97.8% and 95.6%, respectively, at a set specificity of 99.6%.The combination of gene expression and plasma protein based blood derived biomarkers in one diagnostic model increases the sensitivity and the specificity significantly. Such a diagnostic test may allow earlier diagnosis of epithelial ovarian cancer.
|Effect of different exercise modalities plus a hypocaloric diet on inflammation markers in overweight patients: a randomised trial.|
Loria-Kohen, V; Fernández-Fernández, C; Bermejo, LM; Morencos, E; Romero-Moraleda, B; Gómez-Candela, C
Clinical nutrition (Edinburgh, Scotland)
Inflammation markers (IM) have been associated with the development of chronic diseases. This study compares the effects on IM of three exercise programs combined with a hypocaloric diet.119 overweight participants (73 women, 46 men) aged 18-50 years were randomised into four treatment groups: strength training (S; n = 30), endurance training (E; n = 30), combined S + E (SE; n = 30), and a diet and physical activity recommendations group (D; n = 29). Energy intake, anthropometric variables (AV), training variables (VO2peak, strength index, dynamometric strength index [DSI]) and plasma IM were recorded at baseline and after 22 weeks of treatment.84 participants completed the study. At 22 weeks, all groups showed a significantly reduced energy intake (P < 0.001) and improved AV (P < 0.001). VO2peak significantly increased in all groups (P < 0.01). DSI increased in the exercise groups only (P < 0.05). Plasma leptin fell significantly (P < 0.001) in the S and E groups, but not significantly in the SE group (P = 0.029) (no significant differences between these groups). Tumour necrosis factor-α (TNF-α), and C-reactive protein (CRP) concentrations decreased in all groups when examined together, but not when examined separately. No significant differences were seen in interleukin-6 (IL-6).Combining strength or endurance training with a hypocaloric diet improved AV and reduced plasma leptin concentrations. No differences were seen between groups in terms of TNF-α, IL-6 or CRP reduction. This trial was registered at clinical trials.gov as NCT01116856. http://clinicaltrials.gov/.