Project description:Using a genome-wide DNA methylation profiling of 186 cervical samples from women with different CIN grades and well-characterized HPV genotyping, we identified novel methylation markers of epigenetic changes that discriminate accurately between clinically significant and transient cervical disease. In particular, a 2-gene DNA methylation classifier (ATP10A and HAS1) showed a promising ability to discriminate among pre-invasive cervical lesion grades. The identified markers are excellent candidates for future diagnostic or prognostic assays in cervical cancer screening.
Project description:Epigenetic deregulation is a critical event in human malignancies. A number of DNA methylation markers are currently under evaluation as diagnostic and prognostic biomarkers for many cancers. However, its potential role in hepatocellular carcinoma (HCC) is under-explored. Aims: To develop a DNA methylation-based prognostic signature in surgically resected HCC
Project description:To identify diagnostic and prognostic biomarkers, we compared methylation profiles of COAD tissues and normal blood at 485,000 CpG markers and identified a marker panel differently methylated in COAD. We developed diagnostic and prognostic prediction models with the selected panel and compared their efficacy in ctDNA to current available approaches. Our data indicate that cfDNA methylation patterns provide reliable biomarkers in the diagnosis, surveillance, and prognosis of COAD.
Project description:To identify diagnostic and prognostic biomarkers, we compared methylation profiles of LUNC tissues and normal blood at 485,000 CpG markers and identified a marker panel differently methylated in LUNC. We developed diagnostic and prognostic prediction models with the selected panel and compared their efficacy in ctDNA to current available approaches. Our data indicate that cfDNA methylation patterns provide reliable biomarkers in the diagnosis, surveillance, and prognosis of LUNC.
Project description:This is a comparative study. This study is to compare the diagnostic sensitivity between circulating tumor DNA methylation and carcinoembryonic antigen in detecting colorectal cancer. There are two steps in this study. Firstly, the diagnostic model is established based on tumor-specific plasma circulating tumor DNA methylation markers. Secondly, the sensitivity, specificity and accuracy of plasma circulating tumor DNA methylation are compared with that of carcinoembryonic antigen in detecting colorectal cancer.
Project description:Epigenetic deregulation is a critical event in human malignancies. A number of DNA methylation markers are currently under evaluation as diagnostic and prognostic biomarkers for many cancers. However, its potential role in hepatocellular carcinoma (HCC) is under-explored. Aims: To develop a DNA methylation-based prognostic signature in surgically resected HCC Tumors from 224 HCC resected patients, 10 normal Liver individuals and 9 Cirrhotic patients were analyzed. Methylome profiling was done with Illumina HumanMethylation450 (485,000 CpG, 96% of known CpG islands). We selected probes in CpG islands located in promoters, hypermethylated (B value higher than 50%) in at least 5% of the tumors and hypomethylated (B value lower than 33%) in more than 90% of normal liver.
Project description:Methylome analysis of different histological thyroid lesions and clinical features, aiming to better understand the DNA methylation deregulation of TC and to identify a prognostic epigenetic signature in well differentiated thyroid carcinomas.
Project description:Multiple myeloma (MM) is a plasma cell associated cancer and the second most common hematological malignancies. Although researchers have been working on MM, comprehensive quantitative proteomic analysis of Bone Marrow Interstitial Fluid (BMIF) and Blood Serum is not yet reported. Being a proximal biofluid for the hematological malignancies, BMIF could serve as a potential source for identifying diagnostic, prognostic and therapeutic markers for various blood cancers including MM. Moreover, serum, being a minimal invasive biofluid, serves as a potential source for discovering diagnostic and prognostic markers for various cancers including MM as well. We employed multipronged quantitative proteomic approaches like iTRAQ and SWATH-MS for MM BMIF and serum where we identified 279 and 116 non-redundant differentially expressed proteins in MM BMIF and serum respectively. Additionally, the probable biological and functional roles of the differentially abundant proteins were probed in the manifestation of MM disease pathology by using various bioinformatic tools. Furthermore, a selected panel of statistically significant proteins was verified for their differential abundance by immunoblotting as well as MS-based SRM assays. The significant discrimination efficiency of the models generated through multivariate statistical analysis was decent to distinguish between the MM and controls. Moreover, potential candidate proteins were also validated in a fresh independent cohort of serum samples using Enzyme-linked immunosorbent assay (ELISA), as it is a minimal invasive fluid that could easily be used for the diagnostics applications. The significance of this study remains in the fact that the proteins which are observed in the BMIF and also reflected in the serum with similar expression profile are proposed as a potential candidate biomarker panel for MM diagnosis.