What is known and objective Myelosuppression, an adverse drug reaction (ADR), often causes medical treatment termination in cancer patients. It has been known that genetic components, such as single‐nucleotide polymorphisms (SNPs), influence the risk of myelosuppression at the individual‐patient level. However, due to ethnic variation in frequency of genetic polymorphisms, results reported in Caucasian patients may not be generalizable to the Chinese Han population. Until now, few researches on myelosuppression included Chinese Han patients. In this study, we conducted a systematic study of potential biomarkers for docetaxel‐induced myelosuppression in Han Chinese patients. Methods We examined 61 SNPs in 36 genes that code for drug transporters, metabolism enzymes, nuclear receptors and DNA repair pathway in 110 Chinese Han patients receiving docetaxel‐based chemotherapy. Genotyping was conducted using the Sequenom MassARRAY system. Significant SNPs were identified by logistic regression, and gene‐gene interactions were investigated by generalized multifactor dimensionality reduction (GMDR) analysis. Results and discussion Our results revealed that 11 SNPs in nine genes (SLC15A1, SLCO1A2, CYP2D6, FMO3, UGT1A1, NAT2, SULT2A1, PXR and HNF4α) were associated with docetaxel‐induced myelosuppression. GMDR analyses suggested that a 3‐locus model: SLC15A1 rs2297322—PXR rs3732359—FMO3 rs2266782 was an appropriate predictive model of docetaxel‐induced myelosuppression (P = .017, Testing Bal.Acc = 0.653, CV Consistency = 10/10). What is new and conclusion Our findings suggest multiple novel predictive biomarkers of docetaxel‐induced myelosuppression: SLC15A1 rs2297322, PXR rs3732359 and FMO3 rs2266782. These discoveries should help in advancing future personalized therapy of docetaxel‐based chemotherapy specific to Chinese Han patients.

By means of a variational analysis and the theory of variable exponent Sobolev spaces, we study the existence of periodic solutions for a class of nonlocal Hamiltonian systems with p(t)-Laplacian. Some new solvability conditions of periodic solutions are obtained; this unifies and generalizes some of the recent corresponding results in the literature. MSC: 34C37; 58E05; 70H05

Background: Stomach adenocarcinoma (STAD) is one of the common gastrointestinal cancers, characterized by late discovery and metastasis. However, research of gene methylation and expression in gastric cancer (GC) metastasis has been quite limited. This study aimed to investigate the altered gene expression patterns between metastasis and non-metastasis samples using high-throughput RNA and methylation profiles from a large number of patients. Another aim was to identify a specific potential metastasis biomarker, with the ability to predict the metastasis possibility and prognosis of patients with STAD.Methods: In this study, we integrated The Cancer Genome Atlas (TCGA) program STAD datasets, analyzed the RNA expression and DNA methylation data between non-metastasis (M0) and distant metastasis (M1) samples, and evaluated the candidate biomarker in survival and prognosis of GC.Results: Among all patients enrolled, 329 with M0 and M1 information were positive for RNA analysis, and 353 with M0 and M1 information were positive for methylation analysis. We found 29 upregulated and 200 downregulated genes in RNA level, and 5,046 hypermethylated and 8,563 hypomethylated probes in methylation level. Among these genes, we found high RNA expression level and low DNA methylation level of ALOX12B and PACSIN1 in GC metastasis samples. Patients with high expression of these 2 genes had poor overall survival (OS), progression-free survival (PFS), and post-progression survival (PPS). Conclusions:The expression levels of ALOX12B and PACSIN1 were higher in the metastasis than nonmetastasis group, and participants with high expression of these 2 genes were found to have poor survival.The genes ALOX12B and PACSIN1 are potential biomarkers of metastasis and poor prognosis, especially in early stage GC, and provide additional information for subsequent comprehensive treatment of GC.

The asymptotic equilibrium results for fuzzy differential systemsGCP x′=f1t,x,y,y′=f2(t,x,y)are investigated, wheref1t,x,ysatisfies the compactness-type andf2t,x,ysatisfies the dissipative-type conditions. It is worth mentioning that the uniformly continuous conditions offt,x,yare removed in Song et al. (2005). That is to say, the results of Song et al. (2005) are extended. In addition, the global existence and asymptotic equilibrium results of fuzzy differential systemsCP x′t=ft,x,x0=x0are obtained.