RESUMEN
Warfarin has a very narrow therapeutic window and obvious interindividual variability in its effects, with many factors contributing to the body's response. Algorithms incorporating multiple genetic, environment and clinical factors have been established to select a precision dose for each patient. A number of randomized controlled trials (RCTs) were conducted to explore whether patients could benefit from these algorithms; however, the results were inconsistent. Some questions remain to be resolved. Recently, new genetic and non-genetic factors have been discovered to contribute to variability in optimal warfarin doses. The results of further RCTs have been unveiled, and guidelines for pharmacogenetically guided warfarin dosing have been updated. Based on these most recent advancements, we summarize some open questions in this field and try to propose possible strategies to resolve them.
Asunto(s)
Anticoagulantes/uso terapéutico , Tromboembolia/tratamiento farmacológico , Warfarina/uso terapéutico , Algoritmos , Humanos , Medicina de Precisión/métodos , Ensayos Clínicos Controlados Aleatorios como AsuntoRESUMEN
Gene-gene (GXG) and gene-environment (GXE) interactions play important roles in pharmacogenetics study. Simultaneously incorporating multiple single nucleotide polymorphisms (SNPs) and clinical factors is needed to explore the association of their interactions with drug response and toxicity phenotypes. We genotyped 504 SNPs in a total of 490 Chinese non-small cell lung cancer (NSCLC) patients, and the correlation of GXG and GXE interactions with platinum-based chemotherapeutic efficacy and safety were analyzed. In this data descriptor, we shared our data set which could help others to reuse them. All kinds of file types needed for GXG and GXE analysis were supplied. The process of genotyping and data analysis was also introduced step by step.
Asunto(s)
Carcinoma de Pulmón de Células no Pequeñas/genética , Epistasis Genética , Interacción Gen-Ambiente , Neoplasias Pulmonares/genética , Antineoplásicos/uso terapéutico , Pueblo Asiatico , Carcinoma de Pulmón de Células no Pequeñas/tratamiento farmacológico , Humanos , Neoplasias Pulmonares/tratamiento farmacológico , Compuestos de Platino/uso terapéutico , Polimorfismo de Nucleótido SimpleRESUMEN
Prostate cancer is a threat to men and usually occurs in aged males. Though prostate specific antigen level and Gleason score are utilized for evaluation of the prostate cancer in clinic, the biomarkers for this malignancy have not been widely recognized. Furthermore, the outcome varies across individuals receiving comparable treatment regimens and the underlying mechanism is still unclear. We supposed that genetic feature may be responsible for, at least in part, this process and conducted a two-cohort study to compare the genetic difference in tumorous and normal tissues of prostate cancer patients. The Gene Expression Omnibus dataset were used and a total of 41 genes were found significantly differently expressed in tumor tissues as compared with normal prostate tissues. Four genes (SPOCK3, SPON1, PTN and TGFB3) were selected for further evaluation after Gene Ontology analysis, Kyoto Encyclopedia of Genes and Genomes pathway analysis and clinical association analysis. MIR1908 was also found decreased expression level in prostate cancer whose target genes were found expressing in both prostate tumor and normal tissues. These results indicated that these potential biomarkers deserve attention in prostate cancer patients and the underlying mechanism should be further investigated.
