Future therapies for pancreatic carcinoma: Insights into cancer precision medicine.

Pancreatic carcinoma (PC) has one of the highest rates of cancer-related death worldwide. Except for surgery, adjuvant chemotherapy, chemoradiotherapy, and immunotherapy have shown various efficacies depending on the stage of the patient. We read the review "Current and emerging therapeutic strategies in pancreatic cancer: Challenges and opportunities" and offer some opinions that may improve its precision and completeness. This review presents a map of appropriate therapies for PC at different stages. Based on the clinical trial outcomes mentioned in the review, we evaluated the potential therapeutic options for PC and helped explain the contradictory efficacy between different programmed cell death protein 1/programmed cell death ligand 1 clinical trials, which may have resulted from the unique features of PC. Although R0 resection and adjuvant chemotherapy are still the gold standards for PC, new modalities, with or without clinical validation, are needed to establish more specific and precise treatments for PC.

Single-cell transcriptional profiling reveals the heterogeneity in embryonal rhabdomyosarcoma.

ABSTRACT: Rhabdomyosarcoma is the most common soft tissue sarcoma in children, and embryonal rhabdomyosarcoma is the most typical type of rhabdomyosarcoma. The heterogeneity, etiology, and origin of embryonal rhabdomyosarcoma remain unknown.After obtaining the gene expression data of every cell in the tumor tissue by single-cell RNA sequencing, we used the Seurat package in R studio for quality control, analysis, and exploration of the data. All cells are divided into tumor cells and non-tumor cells, and we chose tumor cells by marker genes. Then, we repeated the process to cluster the tumor cells and divided the subgroups by their differentially expressed genes and gene ontology/Kyoto Encyclopedia of Genes and Genomes analysis. Additionally, Monocle 2 was used for pseudo-time analysis to obtain the evolution trajectory of cells in tumor tissues.Tumor cells were divided into 5 subgroups according to their functions, which were characterized by high proliferation, sensing and adaptation to oxygen availability, enhanced epigenetic modification, enhanced nucleoside phosphonic acid metabolism, and ossification. Evolution trajectory of cells in tumor tissues is obtained.We used pseudo-time analysis to distinguish between mesenchymal stem cells and fibroblasts, proved that embryonal rhabdomyosarcoma in the pelvic originated from skeletal muscle progenitor cells, showed the evolutionary trajectory of embryonal rhabdomyosarcoma, and improved the method of evaluating the degree of malignancy of embryonal rhabdomyosarcoma.

[Effects of biological organic fertilizer on microbial community's metabolic activity in a soil planted with chestnut (Castanea mollissima)].

A field experiment was conducted in Zhashui County of Shaanxi Province, Northwest China in 2011 to study the effects of biological organic fertilizer on the microbial community's metabolic activity in a soil planted with chestnut (Castanea mollissima). Three treatments were installed, i. e., control, compound fertilizer, and biological organic fertilizer. Soil samples were collected at harvest, and the metabolic activity was tested by Biolog method. In the treatment of biological organic fertilizer, the average well color development, Shannon evenness, richness, and McIntosh indices of microbial community were all significantly higher than the other two treatments. As compared with the control, applying biological organic fertilizer improved the ability of soil microbes in utilizing the carbon sources of carbohydrates and polymers, while applying compound fertilizer was in opposite. The principal component analysis demonstrated that there was an obvious difference in the soil microbial community among different treatments, mainly depending on the species of carbohydrates and amino acids.

[Effects of heavy metals pollution on soil microbial communities metabolism and soil enzyme activities in coal mining area of Tongchuan, Shaanxi Province of Northwest China].

This paper studied the metabolism of soil microbes, functions of soil microbial communities, and activities of soil enzymes in a coal mining area of Tongchuan. In the coal mining area, the concentrations of soil Cu, Zn, Cd, and Pb were significantly higher than those in the non-mining area, of which, Cd contributed most to the heavy metals pollution. By adopting Biolog method combining with principal component analysis (PCA) and cluster analysis, it was found that the metabolic characteristics of different soil microbial communities varied significantly with increasing soil heavy metals pollution, and the variation was mainly manifested in the metabolic patterns of carbon sources such as saccharides and amino acids. In slightly and moderately polluted soils, the utilization of carbon sources by soil microbial communities was activated; while in heavily polluted soils, the carbon sources utilization was inhibited. The activities of soil urease, protease, alkaline phosphatase, and catalase all tended to decline with intensifying soil heavy metals pollution. The soil urease, protease, alkaline phosphatase, and catalase activities in the coal mining area were 50.5%-65.1%, 19.1%-57.1%, 87.2%-97.5%, and 77.3%-86.0% higher than those in the non-mining area, respectively. The activities of soil sucrase and cellulase were activated in slightly and moderately polluted soils, but inhibited in heavily polluted soils.