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In this study, the compostability of treatment sludge sourced from the food industry (TS) and cattle manure (CM) was investigated. For this purpose, sunflower stalks (SS) were added as a bulking agent and composting experiments were performed. Different mixtures (R1, R2, R3) were prepared in order to determine the individual and co-compostability of the raw materials used. In the R1 reactor, TS and SS in the ratio of 70:30, in the R2 reactor, CM and SS in the ratio of 70:30, and in the R3 reactor, TS, CM and SS in the ratio of 35:35:30 were mixed, respectively. Temperature, organic matter, pH, electrical conductivity (EC) and C/N ratio parameters were monitored during the 21-day process. The highest temperatures during the composting process were determined as 43.9°C, 43.9°C and 53.7°C in the R1, R2 and R3 reactors, respectively. When the C/N ratios are examined, R3, in which the C/N ratio had decreased at a rate of 18.5% by the end of the process and which had the highest temperature rise, can be defined as the best reactor. It has been found that the efficiency of the composting process of food industry treatment sludge and cattle manure is high.

Understanding the intricacies of lethal prostate cancer poses specific challenges due to difficulties in accurate modeling of metastasis in vivo. Here we show that NPKEYFP mice (for Nkx3.1CreERT2/+; Ptenflox/flox; KrasLSL-G12D/+; R26R-CAG-LSL-EYFP/+) develop prostate cancer with a high penetrance of metastasis to bone, thereby enabling detection and tracking of bone metastasis in vivo and ex vivo. Transcriptomic and whole-exome analyses of bone metastasis from these mice revealed distinct molecular profiles conserved between human and mouse and specific patterns of subclonal branching from the primary tumor. Integrating bulk and single-cell transcriptomic data from mouse and human datasets with functional studies in vivo unravels a unique MYC/RAS co-activation signature associated with prostate cancer metastasis. Finally, we identify a gene signature with prognostic value for time to metastasis and predictive of treatment response in human patients undergoing androgen receptor therapy across clinical cohorts, thus uncovering conserved mechanisms of metastasis with potential translational significance. Using lineage tracing and molecular profiling, Abate-Shen and colleagues identify a Ras and Myc co-activation signature that predicts metastasis and castration resistance in localized prostate cancer.