ABSTRACT
Circular extrachromosomal DNA (ecDNA) in patient tumors is an important driver of oncogenic gene expression, evolution of drug resistance and poor patient outcomes. Applying computational methods for the detection and reconstruction of ecDNA across a retrospective cohort of 481 medulloblastoma tumors from 465 patients, we identify circular ecDNA in 82 patients (18%). Patients with ecDNA-positive medulloblastoma were more than twice as likely to relapse and three times as likely to die within 5 years of diagnosis. A subset of tumors harbored multiple ecDNA lineages, each containing distinct amplified oncogenes. Multimodal sequencing, imaging and CRISPR inhibition experiments in medulloblastoma models reveal intratumoral heterogeneity of ecDNA copy number per cell and frequent putative 'enhancer rewiring' events on ecDNA. This study reveals the frequency and diversity of ecDNA in medulloblastoma, stratified into molecular subgroups, and suggests copy number heterogeneity and enhancer rewiring as oncogenic features of ecDNA.
Subject(s)
Cerebellar Neoplasms , Medulloblastoma , Neoplasms , Humans , DNA, Circular , Medulloblastoma/genetics , Retrospective Studies , Neoplasms/genetics , Oncogenes , Cerebellar Neoplasms/geneticsABSTRACT
Cervical-vaginal fluid (CVF) is a potential rich source of biomarkers for enhancing our understanding of human parturition and pathologic conditions affecting pregnancy. In this study, we performed a comprehensive survey of the CVF proteome in pregnancy utilizing multidimensional liquid chromatography (2D-LC) coupled with mass spectrometry and gel-electrophoresis-based protein separation and identification. In total, 150 unique proteins were identified using multiple protein identification algorithms. Metabolism (32%) and immune response-related (22%) proteins are the major functional categories represented in the CVF proteome. A comparison of the CVF, serum, and amniotic fluid proteomes showed that 77 proteins are unique to CVF, while 56 and 17 CVF proteins also occur in serum and amniotic fluid, respectively. This data set provides a foundation for evaluation of these proteins as potential CVF biomarkers for noninvasive diagnosis of pregnancy-related disorders.
Subject(s)
Cervix Uteri/chemistry , Pregnancy Complications/diagnosis , Proteome/analysis , Proteomics/methods , Vagina/chemistry , Amniotic Fluid/chemistry , Biomarkers/analysis , Body Fluids/chemistry , Chromatography, Liquid , Female , Humans , PregnancyABSTRACT
Amniotic fluid (AF) is a significant contributor to fetal health and constitutes a potential rich source of biomarkers for diagnosis of maternal and fetal disorders. In this study, we performed a comprehensive survey of the proteins expressed in AF, combining gel and liquid-based fractionation approaches coupled with LC-MS/MS analysis. Two-dimensional Liquid Chromatography (2D-LC) analysis identified 118 nonredundant proteins with high confidence. One- and two-dimensional gel electrophoresis and in-gel digestion identified 101 proteins. Combining both sets resulted in 219 proteins, of which 96 are unique to AF; 70, 18, and 35 proteins are present in serum, cervico-vaginal fluid, and all three fluids, respectively. Fluorescence two-dimensional differential in-gel electrophoresis (2D-DIGE) comparison of first-, second-, and third-trimester AF samples revealed that maximal differences in the relative abundance of AF proteins occur between the first and second trimesters. A systematic analysis of proteins present both in AF and maternal serum could lead to the development of new noninvasive diagnostic procedures to monitor fetal status.
