Macrophage inhibitory cytokine-1 (MIC-1/GDF15): a new marker of all-cause mortality.

Macrophage inhibitory cytokine-1 (MIC-1/GDF15) is a member of the TGF-b superfamily, previously studied in cancer and inflammation. In addition to regulating body weight, MIC-1/GDF15 may be used to predict mortality and/or disease course in cancer, cardiovascular disease (CVD), chronic renal and heart failure, as well as pulmonary embolism. These data suggested that MIC-1/GDF15 may be a marker of all-cause mortality. To determine whether serum MIC-1/GDF15 estimation is a predictor of all-cause mortality, we examined a cohort of 876 male subjects aged 35-80 years, selected from the Swedish Population Registry, and followed them for overall mortality. Serum MIC-1/GDF15 levels were determined for all subjects from samples taken at study entry. A second (independent) cohort of 324 same-sex twins (69% female) from the Swedish Twin Registry was similarly examined. All the twins had telomere length measured and 183 had serum levels of interleukin 6 (IL-6) and C-reactive protein (CRP) available. Patients were followed for up to 14 years and had cause-specific and all-cause mortality determined. Serum MIC-1/GDF15 levels predicted mortality in the all-male cohort with an adjusted odds ratio (OR) of death of 3.38 (95%CI 1.38-8.26). This finding was validated in the twin cohort. Serum MIC-1/GDF15 remained an independent predictor of mortality when further adjusted for telomere length, IL-6 and CRP. Additionally, serum MIC-1/GDF15 levels were directly correlated with survival time independently of genetic background. Serum MIC-1/GDF15 is a novel predictor of all-cause mortality.

Macrophage inhibitory cytokine 1: a new prognostic marker in prostate cancer.

PURPOSE: High serum levels of macrophage inhibitory cytokine 1 (MIC-1) are strongly associated with metastatic prostate cancer, suggesting MIC-1 is a biomarker for prostate cancer prognosis. EXPERIMENTAL DESIGN: We conducted a prospective cohort study of 1,442 Swedish men with a pathologically verified diagnosis of prostate cancer between 2001 and 2003. Blood was drawn either pretreatment (n = 431) or posttreatment (n = 1,011) and cases were followed for a mean time of 4.9 years (range, 0.1-6.8 years). RESULTS: MIC-1 serum levels independently predicted poor cancer-specific survival with an almost 3-fold higher cancer death rate in patients with serum levels in the highest quartile compared with men with serum levels in the lowest quartile (adjusted hazard ratio, 2.98; 95% confidence interval, 1.82-4.68). Pretreatment MIC-1 levels revealed an even stronger association with disease outcome with an 8-fold higher death rate in the highest compared with the lowest category (adjusted hazard ratio, 7.98; 95% confidence interval, 1.73-36.86). Among patients considered to have localized disease, MIC-1 significantly increased the discriminative capacity between indolent and lethal prostate cancer compared with the established prognostic markers clinical stage, pathologic grade, and prostate-specific antigen level (P = 0.016). A sequence variant in the MIC-1 gene was associated with decreased MIC-1 serum levels (P = 0.002) and decreased prostate cancer mortality (P = 0.003), suggesting a causative role of MIC-1 in prostate cancer prognosis. CONCLUSIONS: Serum MIC-1 concentration is a novel biomarker capable of predicting prostate cancer prognosis.

The interaction of four genes in the inflammation pathway significantly predicts prostate cancer risk.

It is widely hypothesized that the interactions of multiple genes influence individual risk to prostate cancer. However, current efforts at identifying prostate cancer risk genes primarily rely on single-gene approaches. In an attempt to fill this gap, we carried out a study to explore the joint effect of multiple genes in the inflammation pathway on prostate cancer risk. We studied 20 genes in the Toll-like receptor signaling pathway as well as several cytokines. For each of these genes, we selected and genotyped haplotype-tagging single nucleotide polymorphisms (SNP) among 1,383 cases and 780 controls from the CAPS (CAncer Prostate in Sweden) study population. A total of 57 SNPs were included in the final analysis. A data mining method, multifactor dimensionality reduction, was used to explore the interaction effects of SNPs on prostate cancer risk. Interaction effects were assessed for all possible n SNP combinations, where n = 2, 3, or 4. For each n SNP combination, the model providing lowest prediction error among 100 cross-validations was chosen. The statistical significance levels of the best models in each n SNP combination were determined using permutation tests. A four-SNP interaction (one SNP each from IL-10, IL-1RN, TIRAP, and TLR5) had the lowest prediction error (43.28%, P = 0.019). Our ability to analyze a large number of SNPs in a large sample size is one of the first efforts in exploring the effect of high-order gene-gene interactions on prostate cancer risk, and this is an important contribution to this new and quickly evolving field.

H6D polymorphism in macrophage-inhibitory cytokine-1 gene associated with prostate cancer.

BACKGROUND: Accumulating epidemiologic and molecular evidence suggest that inflammation is an important component in the etiology of prostate cancer. Macrophage-inhibitory cytokine-1 (MIC-1), a member of the transforming growth factor beta superfamily, is thought to play an important role in inflammation by regulating macrophage activity. We examined whether sequence variants in the MIC-1 gene are associated with the risk of prostate cancer. METHODS: The study population, a population-based case-control study in Sweden, consisted of 1383 prostate cancer case patients and 780 control subjects. From 94 of the control subjects, we constructed gene-specific haplotypes of MIC-1 and identified four haplotype-tagging single-nucleotide polymorphisms (SNPs): Exon1+25 (V9L), Exon1+142 (S48T), IVS1+1809, and Exon2+2423 (H6D). All study subjects were genotyped for the four SNPs, and conditional logistic regression analysis was used to estimate odds ratios (ORs) with 95% confidence intervals (CIs). RESULTS: A statistically significant difference (P =.006) in genotype frequency was observed for the nonsynonymous change H6D (histidine to aspartic acid at position 6) between prostate cancer patients and control subjects. Carriers of the GC genotype, which results in the H6D change, experienced a lower risk of sporadic prostate cancer (OR = 0.80, 95% CI = 0.66 to 0.97) and of familial prostate cancer (OR = 0.61, 95% CI = 0.42 to 0.89) than the CC genotype carriers. In the study population, the proportion of prostate cancer cases attributable to the CC genotype was 7.2% for sporadic cancer and 19.2% for familial cancer. None of the other SNPs or haplotypes was associated with prostate cancer. CONCLUSION: This study shows an association between a nonsynonymous change (H6D) in the MIC-1 gene and prostate cancer. This finding supports the hypothesis that genetic variation in the inflammatory process contributes to prostate cancer susceptibility.

Analysis of the macrophage scavenger receptor 1 gene in Swedish hereditary and sporadic prostate cancer.

BACKGROUND: The macrophage scavenger receptor 1 (MSR1) gene on chromosome 8p22 was recently reported as a candidate gene for hereditary prostate cancer (HPC). Here, we further elucidate the role of MSR1 in both Swedish families with HPC and in a cohort of unselected prostate cancer. METHODS: DNA samples from 83 Swedish HPC families and 215 unselected population based cases of prostate cancer as well as 425 age-matched controls were genotyped. RESULTS: A total of 18 variants were identified, including 2 exonic, 7 intronic changes, and 9 changes in the 5'- or 3'-uncoding region. Of the two exonic changes, one previously reported truncation mutation was identified, a R293X nonsense mutation. This mutation was found in 2 of the 83 (2.4%) HPC families. The R293X mutation was found more frequently in men with PC (4.9%) than in unaffected men (2.7%), consistent with previous published results, however our results were not significant (P = 0.16). To additionally test for potential association of common sequence variants and increased risk for the disease, five common polymorphisms (PRO3, INDEL1, IVS5-57, P275A, INDEL7) were genotyped in the group of 215 prostate cancer cases and 425 age-matched controls. No association between any of the five common sequence variants and prostate cancer were found. CONCLUSION: Our results suggest that mutations in MSR1 gene might play a role in prostate cancer susceptibility, particularly the R293X mutation. This study warrants further investigations of the role of MSR1 in prostate cancer etiology.

Genome-wide scan of Swedish families with hereditary prostate cancer: suggestive evidence of linkage at 5q11.2 and 19p13.3.

BACKGROUND: Prostate cancer (CaP) is a common disorder with multiple genetic and environmental factors contributing to the disease. CaP susceptibility loci can be identified through genome-wide scans of high-risk families. METHODS: Allele sharing at 405 markers, distributed across the genome, among 50 families with hereditary prostate cancer, ascertained throughout Sweden, was evaluated through linkage analyses. Genotype data were analyzed utilizing multipoint parametric and non-parametric methods. RESULTS: Two regions provided suggestive evidence for linkage: 19p13.3 (marker D19S209, LOD = 2.91, P = 0.0001) and 5q11.2 (marker D5S407, LOD = 2.24, P = 0.0007). Additional regions with moderate evidence for linkage in the complete set of families, or stratified subsets, were observed on chromosome 1, 4, 6, 7, 8, and X. CONCLUSIONS: Our results provide strong confirmatory evidence of linkage at 19q13.3 and 5q11.2. The lack of confirmation of linkage at several loci identified in other genome-wide scans emphasizes the need to combine linkage data between research groups.

The clpP multigene family for the ATP-dependent Clp protease in the cyanobacterium Synechococcus.

In the cyanobacterium Synechococcus sp. strain PCC 7942 a multigene family of three different isozymes encodes the proteolytic subunit ClpP of the ATP-dependent Clp protease. In contrast to the monocistronic clpPI gene, clpPII and clpPIII are part of two bicistronic operons with clpX and clpR, respectively. Unlike most bacterial Clp proteins, the Synechococcus ClpP2, ClpP3, ClpR and ClpX proteins were not highly inducible by high temperatures, or by other stresses such as cold, high light or oxidation, although slower gradual rises occurred for all four proteins during high light, and for ClpP3, ClpR and ClpX at low temperature. Attempts to inactivate the clpPII, clpIII, clpR or clpX genes were only successful for clpPII, suggesting the others are essential for Synechococcus cell viability. The DeltaclpPII mutant exhibited no significant phenotypic changes from the wild-type, including no change in ClpX content. Despite the apparent bicistronic arrangement of both clpPII-clpX and clpR-clpPIII, all four genes primarily produce monocistronic transcripts, although polycistronic transcripts were detected. Mapping of 5' ends for the clpX and clpPIII monocistronic transcripts revealed promoters situated within the 3' region of clpPII and clpR, respectively. Transcriptional and translational studies further showed differences in the expression and regulation between the clpP-clpR-clpX genes. Inactivation of clpPI caused a significant decrease in ClpP2 protein concomitant to small increases in both ClpP3 and ClpR. Inactivation of clpPII resulted in a large rise in clpPI transcripts but to a lesser extent in ClpP1 protein. Similar small increases in ClpP3, ClpR and ClpX proteins also occurred in DeltaclpPII. These results highlight the regulatory complexity of these multiple clp genes and their functional importance in cyanobacteria.