Project description:The prognosis of pancreatic cancer is still very poor, how to detect pancreatic cancer from high-risk group in an early stage is essential for improving its long-time survival. Therefore, the purpose of this study was to explore specific biomarkers that can differentiate pancreatic cancer-associated diabetes from type-2 diabetes for the early detection of pancreatic cancer. In the current study, we used global gene transcription analysis with affymetrix gene chip to identify genes specifically expressed in pancreatic cancer-associated diabetes mellitus from peripheral blood samples in stead of from tissue samples. 32 peripheral blood samples were collected for microarray experiments to find differentially expressed genes specific for pancreatic cancer associated diabetes, which included 8 patients diagnosed as pancreatic cancer with diabetes, 8 patients of pancreatic cancer without diabetes, 8 patients with diabetes mellitus>5years and 8 healthy controls. the comparision was done between pancreatic cancer with diabetes vs normal, pancreatic cancer vs normal and diabetes vs normal to identify a small group of genes that differently expressed in the pancreatic cancer with diabetes group.
Project description:The prognosis of pancreatic cancer is still very poor, how to detect pancreatic cancer from high-risk group in an early stage is essential for improving its long-time survival. Therefore, the purpose of this study was to explore specific biomarkers that can differentiate pancreatic cancer-associated diabetes from type-2 diabetes for the early detection of pancreatic cancer. In the current study, we used global gene transcription analysis with affymetrix gene chip to identify genes specifically expressed in pancreatic cancer-associated diabetes mellitus from peripheral blood samples in stead of from tissue samples.
Project description:Type 1 diabetes mellitus (T1D) is a common autoimmune disease mediated by autoimmune attack against pancreatic b cells.Dys-regualtion of the component of peripheral blood mononuclear cells (PBMCs), including T-cells and B-cells, and smaller amounts of NK cells and dendritic cells, have all been implicated in this process This study sought to identify T1D associated differently expressed genes in the peripheral blood mononuclear cell (PBMC). Peripheral blood mononuclear of newly diagnosed type1 diabetes patients and normal controls were purified by LymphoprepTm gradient purification according to the manufacturer’s instructions (Axis-Shield PoC AS, Oslo, Norway) for futher microarray analysis.
Project description:Type 1 diabetes mellitus (T1D) is a common autoimmune disease mediated by autoimmune attack against pancreatic b cells. It has been reported that dys-regulation of microRNAs (miRNAs) may contribute to the pathogenesis of autoimmune diseases, including T1D. This study sought to identify T1D associated miRNAs in the peripheral blood mononuclear cell (PBMC). Peripheral blood mononuclear of newly diagnosed type1 diabetes patients and normal controls were purified by LymphoprepTm gradient purification according to the manufacturerM-bM-^@M-^Ys instructions (Axis-Shield PoC AS, Oslo, Norway) for futher microarray analysis.
Project description:Tissue biomarkers for immune checkpoint inhibitor (ICI) response are limited by tumor sample heterogeneity and availability. This study identifies clinically actionable pretreatment blood biomarkers that are associated with ICI treatment response and survival in recurrent/metastatic head and neck squamous cell carcinoma. A prospective multi-center study enrolled 100 patients before standard-of-care immunotherapy. Blood immune profiles, measured by methylation cytometry, were assessed alongside tumor mutational burden (TMB) and PD-L1 combined proportion score (CPS). TMB and PD-L1 CPS were available for 56 and 91 patients, respectively. High neutrophils, monocytes, and neutrophil-to-lymphocyte ratio were associated with worse survival, while high CD4T cells, especially naïve CD4T cells, and lymphocyte-to-monocyte ratio were associated with better survival. Significant interactions between TMB and peripheral immune profiles for both progression-free and overall survival were found. Clinically relevant pretreatment peripheral immune biomarkers were identified, demonstrating the potential of DNA-based immune profiling to predict ICI response before treatment.
Project description:Type 1 diabetes mellitus (T1D) is a common autoimmune disease mediated by autoimmune attack against pancreatic b cells.Dys-regualtion of the component of peripheral blood mononuclear cells (PBMCs), including T-cells and B-cells, and smaller amounts of NK cells and dendritic cells, have all been implicated in this process This study sought to identify T1D associated differently expressed genes in the peripheral blood mononuclear cell (PBMC).
Project description:Biomarkers of response are needed in breast cancer to stratify patients to appropriate therapies and avoid unnecessary toxicity. Peripheral blood gene expression and cell type abundance were used to identify biomarkers of response and recurrence in neoadjuvant chemotherapy treated breast cancer patients. Higher peripheral blood monocyte abundance after neoadjuvant chemotherapy was associated with improved prognosis in multiple independent cohorts of breast cancer patients.
Project description:Type 1 diabetes mellitus (T1D) is a common autoimmune disease mediated by autoimmune attack against pancreatic b cells. It has been reported that dys-regulation of microRNAs (miRNAs) may contribute to the pathogenesis of autoimmune diseases, including T1D. This study sought to identify T1D associated miRNAs in the peripheral blood mononuclear cell (PBMC).
Project description:Congenital generalized lipodystrophy (CGL) is an autosomal recessive disorder characterized by defective adipose tissue, extreme insulin resistance, and early onset of diabetes. There are four types of congenital generalized lipodystrophy based on the causative genetic alterations. The symptoms and the degrees of disease progression are varied among all affected individuals, which might be due to unknown genetic modifiers. To identify potential predictive biomarkers associated with the disease progressions, we recruited 7 patients (cgl2_p1,cgl2_p2,cgl2_p3,cgl2_p4,cgl2_p5,cgl2_p6,cgl2_p7),as well as gender/aged-matched controls (cgl2_c1,cgl2_c2,cgl2_c3,cgl2_c4,cgl2_c5,cgl2_c6,cgl2_c7).The total RNA samples were extracted from the participants' peripheral blood mononuclear cells, followed by RNA-Seq. To find the molecular signatures that might be associated with disease progression, patients were further categorized into sub-groups based on the results of biochemical analysis and their clinical symptoms (e.g. diabetes, metabolic syndrome and metal retardation). DEGs were identified for each sub-groups of patients, and pathway analysis was performed to explore the underlying dysregulated mechanisms.
Project description:Diabetes-resistant and diabetes-prone female New Zealand Obese mice were classified based on liver fat content and early blood glucose concentrations at 10 weeks of age before the onset of T2D. By using transcriptome and DNA methylome analysis of liver samples, we identified early epigenetic alteration in mice and humans which could serve as putative epigenetic biomarkers
