Ming Tang

The Tandem Duplicator Phenotype Is a Prevalent Genome-Wide Cancer Configuration Driven by Distinct Gene Mutations.

SUMMARY The tandem duplicator phenotype (TDP) is a genome-wide instability configuration primarily observed in breast, ovarian, and endometrial carcinomas. Here, we stratify TDP tumors by classifying their tandem duplications (TDs) into three span intervals, with modal values of 11 kb, 231 kb, and 1.7 Mb, respectively. TDPs with ~11 kb TDs feature loss of TP53 and BRCA1. TDPs with ~231 kb and ~1.7 Mb TDs associate with CCNE1 pathway activation and CDK12 disruptions, respectively. We demonstrate that p53 and BRCA1 conjoint abrogation drives TDP induction by generating short-span TDP mammary tumors in genetically modified mice lacking them. Lastly, we show how TDs in TDP tumors disrupt heterogeneous combinations of tumor suppressors and chromatin topologically associating domains while duplicating oncogenes and super-enhancers.

TumorFusions: an integrative resource for reporting cancer-associated transcript fusions in 33 tumor types

Fusion genes, particularly those involving kinases, have been demonstrated as drivers and are frequent therapeutic targets in cancer1. Here, we describe our results on detecting transcript fusions across 33 cancer types from The Cancer Genome Atlas (TCGA), totaling 9,966 cancer samples and 648 normal samples2. Preprocessing, including read alignment to both genome and transcriptome, and fusion detection were carried out using a uniform pipeline3. To validate the resultant fusions, we also called somatic structural variations for 561 cancers from whole genome sequencing data. A summary of the data used in this study is provided in Table S1. Our results can be accessed per our portal at http://www.tumorfusions.org.

An integrated platform for genome-wide mapping of chromatin states using high-throughput chip-sequencing in tumor tissues

Histone modifications constitute a major component of the epigenome and play important regulatory roles in determining the transcriptional status of associated loci. In addition, the presence of specific modifications has been used to determine the position and identity non-coding functional elements such as enhancers. In recent years, chromatin immunoprecipitation followed by next generation sequencing (ChIP-seq) has become a powerful tool in determining the genome-wide profiles of individual histone modifications. However, it has become increasingly clear that the combinatorial patterns of chromatin modifications, referred to as Chromatin States, determine the identity and nature of the associated genomic locus. Therefore, workflows consisting of robust high-throughput (HT) methodologies for profiling a number of histone modification marks, as well as computational analyses pipelines capable of handling myriads of ChIP-Seq profiling datasets, are needed for comprehensive determination of epigenomic states in large number of samples. The HT-ChIP-Seq workflow presented here consists of two modules: 1) an experimental protocol for profiling several histone modifications from small amounts of tumor samples and cell lines in a 96-well format; and 2) a computational data analysis pipeline that combines existing tools to compute both individual mark occupancy and combinatorial chromatin state patterns. Together, these two modules facilitate easy processing of hundreds of ChIP-Seq samples in a fast and efficient manner. The workflow presented here is used to derive chromatin state patterns from 6 histone mark profiles in melanoma tumors and cell lines. Overall, we present a comprehensive ChIP-seq workflow that can be applied to dozens of human tumor samples and cancer cell lines to determine epigenomic aberrations in various malignancies.

Positive Regulation of Transcription by Human ZMYND8 through Its Association with P-TEFb Complex

Although human ZMYND8 has been implicated as a transcriptional co-repressor of multiple targets, global association of ZMYND8 with active genes and enhancer regions predicts otherwise. Here, we report an additional function of ZMYND8 in transcriptional activation through its association with the P-TEFb complex. Biochemical reconstitution analyses show that human ZMYND8, through direct association with CylcinT1, forms a minimal ZMYND8-P-TEFb complex. The importance of ZMYND8 in target gene activation, through P-TEFb complex recruitment, is demonstrated on chromosomally integrated reporter gene as well as native target genes inxa0vivo. Physiologically, we further show that the ZMYND8-P-TEFb complex-mediated transcriptional activation is required for all-trans retinoic acid (ATRA)-mediated differentiation of neuronal precursor cells. Finally, to detail the dual activator and repressor nature, mechanistically we show that, through its putative coiled-coil domain, ZMYND8 forms a homodimer that preferentially associates with the activator P-TEFb complex, whereas the monomer associates with the CHD4 subunit of repressor NuRD complex.

A Molecular Take on Malignant Rhabdoid Tumors

The molecular basis for the clinical heterogeneity observed in patients with malignant rhabdoid tumors is unknown. Recently, two reports revealed molecular intertumor heterogeneity in teratoid/rhabdoid tumors (ATRTs) and extra-cranial MRTs (ecMRTs) using genomic, transcriptomic, and epigenomic profiling. Distinct molecular subgroups were identified and new therapeutic targets were revealed.

Abstract 1646: A glioblastoma methylation assay (GaMA) developedfrom genomic analysis of glioma spheroid cultures predicts response toradiation therapy in patients with glioblastoma

Radiation therapy (RT) remains one of the most effective treatments for patients with GBM and has been repeatedly demonstrated to improve survival; yet response to RT is variable. We explored the relationship between methylation status and radiation response to develop a predictor of RT response using the epigenetic data of glioma sphere-forming cells (GSCs). The DNA methylomes of 42 GSCs were profiled using Illumina Infinium 450K methylation bead arrays. 15 GSCs were irradiated with 2-, 4-, and 6-Gy RT and response determined using clonogenic assays. We discovered 168 CpG probes capable of distinguishing sensitive from resistant GSCs. To validate, we analyzed 362 TCGA GBM samples, 272 that received standard 60Gy RT and 90 treated with low or no RT. Using the glioblastoma methylation assay (GaMA) signature, we classified the samples as either RT sensitive or resistant. Survival was significantly different between the predicted sensitive vs resistant patients for those treated with standard RT (median 21.0m vs 14.7m, p Citation Format: Qianghu Wang, Ravesanker Ezhilarasan, Eskil Eskilsson, Joy Gumin, Jie Yang, Mona Jaffari, Ming Tang, Kenneth D. Aldape, Frederick F. Lang, Roel G.W. Verhaak, Erik P. Sulman. A glioblastoma methylation assay (GaMA) developedfrom genomic analysis of glioma spheroid cultures predicts response toradiation therapy in patients with glioblastoma. [abstract]. In: Proceedings of the 107th Annual Meeting of the American Association for Cancer Research; 2016 Apr 16-20; New Orleans, LA. Philadelphia (PA): AACR; Cancer Res 2016;76(14 Suppl):Abstract nr 1646.