title: 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.
abstract: 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.
authors.affiliation: 3rd Department of Internal Medicine, University Hospital Olomouc, Palacky University Olomouc, Czech republic. vlastimil.scudla@fnol.cz
authors.forename: Vlastimil
authors.initials: V
authors.lastname: Scudla
authors.forename: Tomas
authors.initials: T
authors.lastname: Pika
authors.forename: Marie
authors.initials: M
authors.lastname: Budikova
authors.forename: Pavla
authors.initials: P
authors.lastname: Petrova
authors.forename: Jaroslav
authors.initials: J
authors.lastname: Bacovsky
authors.forename: Karel
authors.initials: K
authors.lastname: Srovnalik
authors.forename: Jiri
authors.initials: J
authors.lastname: Minarik
authors.forename: Katerina
authors.initials: K
authors.lastname: Langova
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D043925:Angiogenesis Inducing Agents / Q000097:blood; D014408:Biomarkers, Tumor / Q000097:blood*; D016207:Cytokines / Q000097:blood; D006801:Humans; D008875:Middle Aged; D009101:Multiple Myeloma / Q000097:blood / Q000145:classification / Q000473:pathology*; D011379:Prognosis; D000091402:Prohibitins
chemical_list: D043925:Angiogenesis Inducing Agents; D014408:Biomarkers, Tumor; D016207:Cytokines; C000717331:PHB2 protein, human; D000091402:Prohibitins