Parasite counts or parasite incidences? Testing differences with four analyses of infracommunity modelling for seven parasite-host associations.

One of the challenges in studies of parasite community ecology is whether the input data for analyses should be parasite abundances/counts, i.e. count data (CD), or parasite incidences (presences/absences), i.e. incidence data (ID). We analysed species responses to environmental factors and species associations in the infracommunities of helminths and ectoparasites in four hosts from Europe (Sorex araneus and Myodes glareolus) and South Africa (Rhabdomys pumilio and Rhabdomys dilectus) and compared the results of four analyses [redundancy analysis (RD), RLQ analysis, joint species distribution modelling (JSDM) and Markov random fields (MRF)] that used either CD or ID as an input. In addition, we compared the differences between the CD and ID results of two analyses (JSDM and MRF) across parasite species between (a) host species within helminths and ectoparasites; (b) helminths and ectoparasites within a host species; and (c) parasite species with contrasting levels of intensity. The results of most analyses for the majority of parasite-host associations were qualitatively similar. However, models based on the ID input performed better than models based on the CD input in three out of four types of analyses (RDA, JSDM and MRF). The differences between the CD and ID models varied between host species (being the lowest in R. pumilio for JSDM and in S. araneus for MRF). However, they were not affected by the level of parasite intensity.

A three-gene methylation marker panel for the nodal metastatic risk assessment of muscle-invasive bladder cancer.

PURPOSE: In this study, we aimed to identify a DNA methylation pattern suitable for prognosis assessment of muscle-invasive bladder cancer and to investigate metastasis-associated processes regulated by DNA methylation. METHODS: Genome-wide methylation analysis was performed on 23 muscle-invasive bladder tumors by microarray analysis. Validation was performed by the qAMP technique in two different patient cohorts (n = 32 and n = 100). mRNA expression was analyzed in 12 samples. Protein expression was determined using tissue microarrays of 291 patients. Bladder cancer cell lines T24 and 253JB-V were used for functional analyses. RESULTS: Microarray analyses revealed KISS1R, SEPT9 and CSAD as putative biomarkers with hypermethylation in node-positive tumors. The combination of the three genes predicted the metastatic risk with sensitivity of 73% and specificity of 71% in cohort 1, and sensitivity of 82% and specificity of 54% in cohort 2. mRNA expression differences were detected for KISS1R (p = 0.04). Protein expression of KISS1R was significantly reduced (p < 0.001). Knockdown of SEPT9v3 resulted in increased cell migration by 28% (p = 0.04) and increased invasion by 22% (p = 0.004). KISS1R overexpression resulted in decreased cell migration (25%, p = 0.1). CONCLUSIONS: We identified a methylation marker panel suitable to differentiate between patients with positive and negative lymph nodes at time of cystectomy. This enables a risk assessment for patients who potentially benefit from extended lymph node resection as well as from neoadjuvant chemotherapy and could improve the survival rates. Furthermore, we examined the impact of putative markers on tumor behavior. Hence, KISS1R and SEPT9 could represent a starting point for the development of novel therapy approaches.

Metachronous bilateral renal cell carcinoma: risk assessment, prognosis and relevance of the primary-free interval.

PURPOSE: We evaluated the prognosis, risk factors and relevance of the primary-free interval in a large cohort with metachronous bilateral renal cell carcinoma. MATERIALS AND METHODS: We studied 120 patients with metachronous, bilateral renal cell carcinoma who were treated at 12 international academic centers. Logistic regression was performed to evaluate risk factors for contralateral metachronous renal cell carcinoma during followup. Disease specific survival was evaluated with univariate and multivariate analysis. RESULTS: Median age at diagnosis of the first and second renal cell carcinomas was 54 and 62 years, respectively. The most common histological subtype was bilateral clear cell renal cell carcinoma (89% of cases). Familial renal cell carcinoma was found in 14% of patients, von Hippel-Lindau disease was found in 4% and nonfamilial renal cell carcinoma was found in 81%. The 15-year disease specific survival rates for the first and second renal cell carcinomas were 66% and 44%, respectively. Logistic regression revealed von Hippel-Lindau disease, a family history of renal cell carcinoma, multifocal first renal cell carcinoma and young patient age as independent risk factors for contralateral renal cell carcinoma after surgery for unilateral renal cell carcinoma. A longer primary-free interval was associated with a better prognosis. When calculating disease specific survival from the diagnosis of the first renal cell carcinoma, the primary-free interval was an independent prognostic factor. CONCLUSIONS: Long-term survival rates of metachronous, bilateral renal cell carcinoma are moderate. von Hippel-Lindau disease, a family history of renal cell carcinoma, multifocal first renal cell carcinoma and young patient age are independent risk factors for contralateral renal cell carcinoma. These risk factors support close and extended abdominal surveillance following nephrectomy for unilateral renal cell carcinoma. Patients with a longer primary-free interval have a more favorable prognosis.