Risk stratification using growth differentiation factor 15 in patients undergoing transcatheter aortic valve implantation.

AIMS: Growth differentiation factor 15 (GDF15) shows potential predictive value in various cardiac conditions. We investigated relationships between GDF15 and clinical or procedural outcomes in patients with severe aortic stenosis undergoing transcatheter aortic valve implantation (TAVI) in order to propose clinically useful predictive risk stratification model. METHODS: This prospective single-center registry enrolled 88 consecutive patients with severe symptomatic aortic stenosis treated with TAVI. Clinical parameters were collected and biomarkers including GDF-15 were measured within 24 h before TAVI. All relevant clinical outcomes according to the Valve Academic Research Consortium-2 were collected over the follow-up period. RESULTS: The cohort included 52.3% of females. The mean age of study participants was 81 years; the mean Society of Thoracic Surgeons (STS) score and logistic EuroSCORE were 3.6% and 15.4%, respectively. The mortality over the entire follow-up period was 10.2%; no death was observed within the first 30 days following TAVI. Univariate analysis showed significant associations between GDF15 and mortality (P=0.0006), bleeding (P=0.0416) and acute kidney injury (P=0.0399). A standard multivariate logistic regression model showed GDF-15 as the only significant predictor of mortality (P=0.003); the odds ratio corresponding to an increase in GDF15 of 1000 pg/mL was 1.22. However, incremental predictive value was not observed when the STS score was combined with GDF15 in this predictive model. CONCLUSIONS: Based on our observations, preprocedural elevated GDF15 levels are associated with increased mortality and demonstrate their additional value in predicting adverse clinical outcomes in a TAVI population.

The Effect of Tobacco Smoking and Smoking Cessation on Urinal miRNAs in a Pilot Study.

The diseases associated with tobacco smoking affect miRNAs and small single-stranded non-coding RNAs. However, there are no data on urinal miRNAs in healthy smokers. We searched for the possible effect of smoking and smoking cessation on miRNA urine expression. For screening, Affymetrix miRNA 4.0 arrays were used in 33 urine samples obtained from six never smokers and from current smokers in three time-points before smoking cessation (n = 10), after short time abstinence (3-8 weeks), and after long-term abstinence (1 year). For validation, a quantitative (q) polymerase chain reaction (PCR) method was used in 93 urine samples obtained from 18 never smokers and 25 current smokers in three time-points before smoking cessation, after short time abstinence (3-8 weeks), and after long-term abstinence (1 year). In screening analysis, 5 miRNAs (hsa-miR-3620-5p, hsa-miR-3613-5p, hsa-miR-3921, hsa-miR-5094, and hsa-miR-337-3p) were dysregulated in current vs. never smokers after multiple testing corrections. Smoking cessation was accompanied by miRNA dysregulation that did not reach a significant level after a multiple testing correction. In validation analysis, three miRNAs correlated with cotinine, but they were affected neither after smoking cessation nor between current and never smokers. Our whole-genome screening of 2.578 miRNAs and validation suggest that tobacco smoking has no or only a small effect on urinal miRNAs.

Risk factors of atherosclerosis during systemic therapy targeting vascular endothelial growth factor.

The aim of the present study was to examine the changes in intima-media thickness (IMT) and myocardial perfusion in association with other laboratory risk factors for atherosclerosis in patients treated with therapy that targeted vascular endothelial growth factor (VEGF). IMT, myocardial perfusion and laboratory risk factors of atherosclerosis were studied in 58 patients with metastatic colorectal carcinoma or metastatic renal cell carcinoma prior to and at 3-monthly intervals during anti-VEGF treatment. Compared with the pretreatment IMT, the results indicated that the IMT was consistently increased during therapy in the two patient groups. Patient blood pressure and concentration of troponin T increased transiently. An increase in the concentration of high-density lipoprotein cholesterol and decrease in the concentrations of C-reactive protein and homocysteine were also observed. Novel myocardial ischemia was evident in individual patients. In conclusion, anti-VEGF therapy affects the laboratory risk factors of atherosclerosis and results in an acceleration of atherosclerosis, as demonstrated by increased IMT.

Prospective study of signalling pathways in myeloma bone disease with regard to activity of the disease, extent of skeletal involvement and correlation to bone turnover markers.

AIMS: The aim of our study was to address the utility of serum levels of selected parameters of myeloma bone disease (MBD) signalling with regard to the pathogenesis of multiple myeloma (MM), activity, markers of bone turnover and extent of skeletal changes. PATIENTS AND METHODS: We assessed prospectively 77 individuals with monoclonal gammopathies - 46 patients with active MM (AMM), 12 patients with smouldering MM (SMM) and 19 individuals with monoclonal gammopathy of undetermined significance (MGUS) to determine the role of HGF, MIP-1α, Syndecan-1, osteoprotegerin, Activin A, DKK1, Annexin A2 and NF-κB. RESULTS: We found significant differences of most of the parameters between MGUS and AMM, and with respect to the activity of MM assessed by International Staging System. Most of the parameters of MBD signalling correlated with traditional markers of bone turnover. CONCLUSIONS: All the signalling pathways were activated in MM with more pronounced osteoclastogenesis in comparison with bone formation but not in MGUS regardless of its risk category, suggesting that MBD is not activated in MGUS until the process of transformation into MM. The parameters of MBD signalling might precede the increase of conventional parameters of bone turnover suggesting their possible role in early indication of anti-resorption therapy.

[Analysis of serum levels of Dickkopf-1 (DKK-1) in monoclonal gammopathy of undetermined significance and multiple myeloma]. / Analýza sérových hladin Dickkopf-1 (DKK-1) u monoklonální gamapatie nejistého významu a mnohocetného myelomu.

BACKGROUND: Several recent studies aim at the detection of biological parameters that enable more precise diagnostics and stratification of monoclonal gammopathy of undetermined significance (MGUS) and multiple myeloma (MM). The objective of our study was to assess the potential contribution of serum levels of Dickkopf-1 (DKK-1) in MGUS and MM from the point of more specific differentiation of both conditions, and the relationship of DKK-1 to selected laboratory parameters, individual forms and clinical stages of both conditions. METHODS AND RESULTS: The analyzed cohort consisted of 46 individuals with MGUS and 152 patients with MM at the time of diagnosis. For the assessment of serum levels of DKK-1 we used ELISA method. We assessed also serum levels of free light chains (FLC) κ and λ using the Freelite system, and ß2-microglobulin (ß2-M) using the Immulite 1000 method. For statistical estimation we used: Pearson χ2-test, U-test according to Mann-Whitney and Kruskal-Wallis test. Our analysis revealed that there was no significant difference between the levels of DKK-1 in MGUS risk groups (0-3) and between the states with different FLC concentration including the κ/λ index of monoclonality. In MM there was a significant relationship of DKK-1 to the level of hemoglobin (p<0.008) but not to the levels of FLC, creatinine or ß2-microglobulin. Within the Durie-Salmon staging system, there were significant differences of DKK-1 between the stages I vs. III (p=0.001) and I vs. II+III (p=0.002). In the International Staging System (ISS) there were significant differences only between stages 1 vs. 2+3 (p=0.045). Although there was no overall significant difference of DKK-1 levels between MGUS and MM, there was a difference between MGUS vs stage III (p=0.001) and II+III (p=0.001) according to Durie-Salmon, and also MGUS vs. stage 2 (p=0.005) and vs. stages 2+3 (p=0,012) according to ISS. There were no significant differences in DKK-1 between MGUS and initial/asymptomatic form of MM (stage I). CONCLUSION: Although there was a significant difference of serum levels of DKK-1 between MGUS and initial/asymptomatic stage of MM when compared to advanced stage MM, and in patients with different Hb levels, we do not find the evaluation of serum levels of DKK-1 useful for routine discrimination of MGUS and MM, and for the specification of temporary stratification systems.

Analysis of thymidine kinase serum levels by novel method DiviTum in multiple myeloma and monoclonal gammopathy of undetermined significance - comparison with imaging methods 99mTc-MIBI scintigraphy and 18F-FDG PET/CT.

AIMS: The study aimed at comparing two methods for evaluating thymidinekinase TK in serum - an older RIA method and novel DiviTum - in patients with MM and MGUS, and also comparing them with biochemical markers and degree of activity evaluated by imaging methods 99mTc-MIBI scintigraphy and 18F-FDG PET/CT. METHODS: Serum thymidinekinase TK levels were evaluated by DiviTum and an RIA method (TK REA kit by Immunotech);The study analyzed correlation of TK activity in serum with biochemical markers reflecting activity of MM: ß2-m, LDH, the ratio of kappa to lambda (κ/λ) free light chains and percentage of bone marrow plasma cells (BMPC). 99mTc-MIBI scintigraphy and 18F-FDG PET/CT were performed at the time of diagnosis. The degree of activity was expressed semiquantitatively. Scans were classified as 0 (normal activity), 1 (diffuse positivity) or 2 (focal positivity). RESULTS: We found a strong positive correlation between TK in serum evaluated by DiviTum and by TK REA.. The DiviTum analytic method extended the detection range and was able to detect higher levels of TK than the RIA method. DiviTum technique found positive correlation with ß2-m (r = 0.497) and LDH (r = 0.502) and moderate positive correlation with BMPC (r = 0.368). Significantly higher TK values measured by TK REA and DiviTum in the group of patients with MM (stages I, II or III) than in those with MGUS. Increased TK levels were observed in MIBI- or PET/CT-positive patients. Analysis of repeated measurements of TK in serum during treatment of MM patients found a correlation between change in TK measured by DiviTum and LDH during treatment. CONCLUSIONS: Analysis revealed a significant correlation between TK in serum and LDH, ß2-m and BMPC. Increased levels of TK in serum were observed in MIBI- or PET/CT-positive patients. Combination of positivity of imaging methods which can localize active tumor lesions and increased levels of TK in serum can have an impact on decision-making and optimization of the therapeutic approach.

Prognostic value of hepatocyte growth factor, syndecan-1, and osteopontin in multiple myeloma and monoclonal gammopathy of undetermined significance.

Our aim was to compare serum levels of selected biological parameters in different phases of multiple myeloma (MM) and monoclonal gammopathy of undetermined significance (MGUS) to determine their diagnostic and prognostic potential. A cohort of 234 individuals was assessed for serum levels of hepatocyte growth factor (HGF), syndecan-1/CD(138) (SYN), and osteopontin (OPN). The patients with MM (N = 156) were divided into 3 groups: at the time of diagnosis (N = 45), in relapse/progression (N = 56), and in remission (N = 50). The analysis revealed significant differences of all three parameters in comparison of active and remission phase MM. Moreover, the parameters in active myeloma were significantly higher than in MGUS. Within the comparison of active disease (newly diagnosed and relapsing), there was no significant difference. Similar results were in remission phase MM and MGUS. There was no relationship of pretreatment levels of the parameters to therapeutic response. We conclude that serum levels of HGF, OPN, and SYN correspond to the activity of MM and might become useful in differentiation of MGUS, asymptomatic MM, and overt/symptomatic form of MM. The levels of all three parameters behave accordingly with MM activity. Pretreatment measurement without the assessment of their kinetics, however, has no relationship to therapeutic response.

The relationship between some soluble osteogenic markers, angiogenic cytokines/other biological parameters and the stages of multiple myeloma evaluated according to the Durie-Salmon and International Prognostic Index stratification systems.

BACKGROUND: The aim of the present paper was to examine the correlation between serum concentrations of 12 soluble biological markers and stages of myeloma evaluated according to the Durie-Salmon (D-S) and International Prognostic Index (IPI) stratification systems. METHODS: We analyzed a non-pretreated group of 179 patients with MM stratified according to D-S and IPI. Serum levels of soluble biological markers were evaluated using ELISA, REA and quantitative sandwich enzymatic immunoassays. The data were analyzed using the Kruskal-Wallis and Mann-Whitney U tests. RESULTS: The staging system according to D-S revealed a highly significant relationship between all stages (I-III) in case of beta(2)-m (p<0.0001) and sTK (p<0.001), in sICTP a significant difference was found only in stages II vs III (p<0.001) and I vs III (p<0.001), in case of sCD(138) (syndecan-1) in stages I vs II (p = 0.006) and I vs III (p<0.001), in sVEGF only in stages I vs III (p = 0.006). In substages A vs B we found a significant difference in case of beta2-m (p<0.0001), sTK (p = 0.041), sICTP (p 0.0001), sOSP (p = 0.008), sHGF (p<0.001), sCD138 (p = 0.001) and sFas (p= 0.001). The relationship between other factors and stages and substages according to D-S appeared nonsignificant. The IPI system showed a highly significant relationship between all 3 categories (1-3) in case of beta(2)-m (p<0.001), sTK (p<0.0001) and sICTP (p<0.0001), while in sHGF only in stages 2 vs 3 (p<0.0001) and 1 vs 3 (p<0.0001). In 4 parameters there were only discrete differences in 1 vs 3: sPINP (p= 0.036), sOSP (p= 0.002), sCD(138) (p = 0.03) and sFas (p=0.012), in the remaining markers the analysis was negative. CONCLUSIONS: A highly convincing relationship between myeloma stages and serum levels was found only in beta(2)-m, sTK, sICTP and partly also in sCD(138) (syndecan-1) and sHGF. More favourable was the IPI stratification system.