Journal: Pharmacotherapy

Article Title: Antipsychotic Medications and DNA Methylation in Schizophrenia and Bipolar Disorder: A Systematic Review

doi: 10.1002/phar.2375

Figure Lengend Snippet: Studies of Epigenome-wide Association.

Article Snippet: Abdolmaleky et. al [ 16 ] b , Illumina 27K, qMSP , DTNBP1 , Identify changes with diagnosis and antipsychotic treatment , In saliva and brain, antipsychotic-naïve patients had higher methylation compared to patients on antipsychotic and controls. There was a trend of decreased methylation with increased lifetime use of antipsychotics..

Techniques: Methylation, DNA Methylation Assay, Microarray

Journal: Pharmacotherapy

Article Title: Antipsychotic Medications and DNA Methylation in Schizophrenia and Bipolar Disorder: A Systematic Review

doi: 10.1002/phar.2375

Figure Lengend Snippet: Studies of Gene-Specific Methylation.

Article Snippet: Abdolmaleky et. al [ 16 ] b , Illumina 27K, qMSP , DTNBP1 , Identify changes with diagnosis and antipsychotic treatment , In saliva and brain, antipsychotic-naïve patients had higher methylation compared to patients on antipsychotic and controls. There was a trend of decreased methylation with increased lifetime use of antipsychotics..

Techniques: Methylation, Methylation Sequencing, DNA Methylation Assay, Activity Assay

Journal: CNS Neuroscience & Therapeutics

Article Title: LRRFIP1 , an epigenetically regulated gene, is a prognostic biomarker and predicts malignant phenotypes of glioma

doi: 10.1111/cns.13817

Figure Lengend Snippet: Validation of the correlation between the mRNA expression level of LRRFIP1 and the methylation level in gliomas. (A, B) The mRNA expression level of LRRFIP1 both in TCGA microarray database and in TCGA RNAseq database was negatively correlated with the methylation level in TCGA 27K methylation database ( R = −0.41, p < 0.001, n = 256; R = −0.27, p < 0.05, n = 76, corresponding). (C) In CGGA 27K methylation database, the mRNA expression level of LRRFIP1 was negatively correlated with the methylation level ( R = −0.41, p < 0.1, n = 20). (D, E) The mRNA expression level of LRRFIP1 both in TCGA microarray and in TCGA RNAseq database decreased with the increase in the methylation level of glioma in TCGA 450K methylation database ( R = −0.24, p < 0.05, n = 90; R = −0.45, p < 0.001, n = 54, corresponding)

Article Snippet: TCGA DNA methylation dataset (Illumina Human Methylation 27K), TCGA DNA methylation dataset (Illumina Human Methylation 450K), TCGA RNA microarray, and TCGA RNA sequencing (RNAseq) dataset were downloaded from The Cancer Genome Atlas (TCGA, http://cancergenome.nih.gov/ ), which were analyzed for further discovery.

Techniques: Biomarker Discovery, Expressing, Methylation, Microarray

Journal: CNS Neuroscience & Therapeutics

Article Title: LRRFIP1 , an epigenetically regulated gene, is a prognostic biomarker and predicts malignant phenotypes of glioma

doi: 10.1111/cns.13817

Figure Lengend Snippet: Prognostic significance of LRRFIP1 methylation level in gliomas. (A‐C). Kaplan–Meier curves were used to estimate the methylation status of LRRFIP1 with patient survival probability in TCGA 27K methylation database, TCGA 450K methylation database, and CGGA 27K methylation database. The methylation status of LRRFIP1 was divided into two groups: high methylation and low methylation. The high methylation status of LRRFIP1 has a longer survival probability than the low methylation status of LRRFIP1 (A: p < 0.05; B: p < 0.001; C: p < 0.05)

Article Snippet: TCGA DNA methylation dataset (Illumina Human Methylation 27K), TCGA DNA methylation dataset (Illumina Human Methylation 450K), TCGA RNA microarray, and TCGA RNA sequencing (RNAseq) dataset were downloaded from The Cancer Genome Atlas (TCGA, http://cancergenome.nih.gov/ ), which were analyzed for further discovery.

Techniques: Methylation

Journal: CNS Neuroscience & Therapeutics

Article Title: LRRFIP1 , an epigenetically regulated gene, is a prognostic biomarker and predicts malignant phenotypes of glioma

doi: 10.1111/cns.13817

Figure Lengend Snippet: LRRFIP1 expression pattern in glioma patients. (A, E) LRRFIP1 is enriched in high‐grade gliomas in CGGA RNAseq and TCGA RNAseq. (B, F) LRRFIP1 is enriched in mesenchymal molecular subtype gliomas in CGGA RNAseq and TCGA RNAseq. (C, G) LRRFIP1 is enriched in IDH wild‐type gliomas in CGGA RNAseq and TCGA RNAseq. (D, H) LRRFIP1 expression is highest in IDH wildtype with GBM and lowest in IDH mutant combined with 1p/19q codeletion low grade gliomas in CGGA RNAseq and TCGA RNAseq. (I) LRRFIP1 expression in different grades of gliomas by IHC staining and (J) statistical analysis (II, n = 5; III, n = 5; IV, n = 9). Scale bar =100 μm. *, **, and ****, respectively, indicate p < 0.05, p < 0.01, and p < 0.0001

Article Snippet: TCGA DNA methylation dataset (Illumina Human Methylation 27K), TCGA DNA methylation dataset (Illumina Human Methylation 450K), TCGA RNA microarray, and TCGA RNA sequencing (RNAseq) dataset were downloaded from The Cancer Genome Atlas (TCGA, http://cancergenome.nih.gov/ ), which were analyzed for further discovery.

Techniques: Expressing, Mutagenesis, Immunohistochemistry

Journal: CNS Neuroscience & Therapeutics

Article Title: LRRFIP1 , an epigenetically regulated gene, is a prognostic biomarker and predicts malignant phenotypes of glioma

doi: 10.1111/cns.13817

Figure Lengend Snippet: LRRFIP1 mRNA expression was related to clinical outcomes in gliomas. (A‐C, E‐G). Kaplan–Meier analysis of the survival of all gliomas, LGG and GBM patients from the data of CGGA RNAseq and TCGA RNAseq. High expression of LRRFIP1 was negatively associated with the OS of all gliomas, LGG and GBM. (D, H) Univariate and multivariate regression analyses of LRRFIP1 expression level and other clinical features in CGGA RNAseq and TCGA RNAseq

Article Snippet: TCGA DNA methylation dataset (Illumina Human Methylation 27K), TCGA DNA methylation dataset (Illumina Human Methylation 450K), TCGA RNA microarray, and TCGA RNA sequencing (RNAseq) dataset were downloaded from The Cancer Genome Atlas (TCGA, http://cancergenome.nih.gov/ ), which were analyzed for further discovery.

Techniques: Expressing

Journal: CNS Neuroscience & Therapeutics

Article Title: LRRFIP1 , an epigenetically regulated gene, is a prognostic biomarker and predicts malignant phenotypes of glioma

doi: 10.1111/cns.13817

Figure Lengend Snippet: Construction and evaluation of the nomogram for predicting overall survival. (A) Nomogram for predicting 1, 3, or 5‐ year survival in glioma patients, based on the data from CGGA RNAseq. The top row shows the point value for each variable. Rows 2–5 indicate the variables included in the nomogram. Each variable corresponds to a point value were according to glioma's clinical characteristics. The sum of these values is located on the axis of total points, and downward the total points axis survival axes were drawn to determine the probability of 1‐, 3‐, or 5‐year survival. (B) Calibration curves for predicting patient survival at 1, 3, and 5 years in the dataset from CGGA RNAseq. (C) Nomogram for predicting 1, 2, or 3‐year survival in glioma patients, based on the data from TCGA RNAseq. (D) Calibration curves for predicting patient survival at 1, 2, and 3 years in the dataset from TCGA RNAseq

Article Snippet: TCGA DNA methylation dataset (Illumina Human Methylation 27K), TCGA DNA methylation dataset (Illumina Human Methylation 450K), TCGA RNA microarray, and TCGA RNA sequencing (RNAseq) dataset were downloaded from The Cancer Genome Atlas (TCGA, http://cancergenome.nih.gov/ ), which were analyzed for further discovery.

Techniques: