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Aims: B-cell chronic lymphocytic leukemia (CLL) is a heterogeneous malignancy that clinically ranges from indolent to rapidly progressive. CLL, like other cancers, can be affected by epigenetic alterations. Materials & methods: A microarray discovery-based study was initiated to determine DNA methylation in CLL cases with a range of CD38 expression (1–92%). Results: Many loci were either methylated or unmethylated across all CD38 levels, but differential methylation was also observed for some genes. Genomic sequencing of DLEU7 confirmed extensive cytosine methylation preferentially in patient samples with low CD38 expression, whereas NRP2, SFRP2 and ADAM12 were more commonly methylated in those with high CD38 expression. Conclusion: This study demonstrates that CLL is affected by CpG island methylation in some genes that segregate with CD38 expression levels, while most others show similar methylation patterns across all levels. The CpG island methylation in certain functional gene groups and pathway-associated genes that are known to be deregulated in CLL provides additional insights into the CLL methylome and epigenetic contribution to cellular dysfunction. It will now be useful to investigate the effectiveness of epigenetic therapeutic reversal of these alterations to develop effective treatments for the disease.

The polycomb repressive complex (PRC) 2 contains 3 core proteins, EZH2, SUZ12, and EED, in which the SET (suppressor of variegation–enhancer of zeste-trithorax) domain of EZH2 mediates the histone methyltransferase activity. This induces trimethylation of lysine 27 on histone H3, regulates the expression of HOX genes, and promotes proliferation and aggressiveness of neoplastic cells. In this study, we demonstrate that treatment with the S-adenosylhomocysteine hydrolase inhibitor 3-deazaneplanocin A (DZNep) depletes EZH2 levels, and inhibits trimethylation of lysine 27 on histone H3 in the cultured human acute myeloid leukemia (AML) HL-60 and OCI-AML3 cells and in primary AML cells. DZNep treatment induced p16, p21, p27, and FBXO32 while depleting cyclin E and HOXA9 levels. Similar findings were observed after treatment with small interfering RNA to EZH2. In addition, DZNep treatment induced apoptosis in cultured and primary AML cells. Furthermore, compared with treatment with each agent alone, cotreatment with DZNep and the pan-histone deacetylase inhibitor panobinostat caused more depletion of EZH2, induced more apoptosis of AML, but not normal CD34+ bone marrow progenitor cells, and significantly improved survival of nonobese diabetic/severe combined immunodeficiency mice with HL-60 leukemia. These findings indicate that the combination of DZNep and panobinostat is effective and relatively selective epigenetic therapy against AML cells.

High-throughput microarray technologies were used to study DNA methylation accompanied by transcriptional changes in follicular lymphoma (FL). Using Methylated CpG Island Amplification with Microarrays (MCAM) to study CpG Island (CGI) DNA methylation in follicular lymphoma (FL) we discovered widespread hypermethylation of homeobox genes and previously identified targets of polycomb repressive complex 2 (PRC2) in cell lines and primary tumors, but not in benign follicular hyperplasia (BFH). DNA methylation for HOXA11, HOXD10, HOXB7, HOXC12, PAX6, LHX9, SFMBT2, EN2 and PAX7 was independently validated in the RL cell line and HOXA11, HOXD10, PAX6 and EN2 in primary tumors. Combined Bisulfite Restriction Analysis (COBRA) also established DNA methylation for the previously identified PRC2 targets DCC, DES, GAD2, AQP5, GPR61, GRIA4, GJD2 and AMPH in FL but not in BFH. Gene expression analyses revealed 411 genes that were hypermethylated and transcriptionally repressed in RL, 74% of which were re-activated by the demethylating agent 5-aza-2′-deoxycytidine (5-azaD) plus or minus the histone deacetylase inhibitor trichostatin A (TSA). Forty genes were also down-regulated in primary FL. Our results suggest that extensive hypermethylation in promoters of polycomb target genes is a characteristic of FL and that loss of expression of certain SUZ12 target genes could be functionally relevant for lymphomagenesis.

We determined if soy isoflavones have dose-related estrogenic and methylation effects. Thirty-four healthy premenopausal women were randomized to 40 mg or 140 mg isoflavones daily through one menstrual cycle. Breast specific and systemic estrogenic effects were assessed measuring the estrogenic marker complement (C)3 and changes in cytology, whereas methylation assessment of 5 cancer related genes (p16, RASSF1A, RARbeta2, ER, and CCND2) was performed on intraductal specimens. Serum genistein significantly increased after consuming both isoflavone doses. Cytology did not significantly change at either isoflavone dose. Serum C3 levels posttreatment were inversely related to change in serum genistein (r =-0.76, P = 0.0045) in women consuming low but not high dose isoflavones. The RAR beta 2 hypermethylation increase posttreatment correlated with the posttreatment genistein level considering the entire group (r = 0.67, P = 0.0017) and those receiving high-dose isoflavones (r = 0.68, P = 0.021). At the low but not the high isoflavone dose, CCND2 hypermethylation increase correlated with posttreatment genistein levels (r = 0.79, P = 0.011). In summary, the inverse correlation between C3 and genistein suggests an antiestrogenic effect. Isoflavones induced dose-specific changes in RARbeta2 and CCND2 gene methylation, which correlated with genistein levels. This work provides novel insights into estrogenic and methylation effects of dietary isoflavones.

Motivation: DNA methylation plays important roles in biological processes and human diseases, especially cancers. High-throughput bisulfite genomic sequencing based on new generation of sequencers, such as the 454-sequencing system provides an efficient method for analyzing DNA methylation patterns. The successful implementation of this approach depends on the use of primer design software capable of performing genome-wide scan for optimal primers from in silico bisulfite-treated genome sequences. We have developed a method, which fulfills this requirement and conduct primer design for sequences including regions of given promoter CpG islands. Results: The developed method has been implemented using the C and JAVA programming languages. The primer design results were tested in the PCR experiments of 96 selected human DNA sequences containing CpG islands in the promoter regions. The results indicate that this method is efficient and reliable for designing sequence-specific primers. Availability: The sequence-specific primer design for DNA meth-ylated sequences including CpG islands has been integrated into the second version of PRIMEGENS as one of the primer design features. The software is freely available for academic use at http://digbio.missouri.edu/primegens/. Contact: xudong@missouri.edu

We demonstrated quantitative real-time label-free detection of DNA sequences using the liquid core optical ring resonator (LCORR) sensor. The LCORR is a recently developed sensing platform that integrates microfluidics and photonic sensing technology with low detection limit and sub-nanoliter detection volume. We analyzed experimentally and theoretically the LCORR response to a variety of DNA samples that had different strand lengths (25–100 bases), number of base- mismatches (1–5), and concentrations (10 pM to 10 μM) to evaluate the LCORR sequence detection capability. In particular, we established the linear correlation between the LCORR sensing signal and the molecule density, which allows us to accurately calculate the molecule density on the surface. It is found that the probe surface coverage was 26–51% and the extent of hybridization was 40–50%. The titration curve for 25-base probe and 25-base target DNA yields a dissociation constant of 2.9 nM. With a 37.1 nm/RIU LCORR, detection of 10 pM bulk DNA concentration was demonstrated. The mass detection limit was estimated to be 4 pg/mm 2 , corresponding to a density of 10 10 molecules/cm 2 on the surface. We also showed that the LCORR was sensitive enough to differentiate DNA with only a few base-mismatches based on the raw sensing signal and kinetic analysis. Our work will provide important insight into the light-DNA interaction at the ring resonator surface and lay a foundation for future LCORR-based DNA label-free microarray development.

We developed a novel approach for conducting multisample, multigene, ultradeep bisulfite sequencing analysis of DNA methylation patterns in clinical samples. A massively parallel sequencing-by-synthesis method (454 sequencing) was used to directly sequence >100 bisulfite PCR products in a single sequencing run without subcloning. We showed the utility, robustness, and superiority of this approach by analyzing methylation in 25 gene-related CpG rich regions from >40 cases of primary cells, including normal peripheral blood lymphocytes, acute lymphoblastic leukemia (ALL), chronic lymphocytic leukemia (CLL), follicular lymphoma (FL), and mantle cell lymphoma (MCL). A total of 294,631 sequences was generated with an average read length of 131 bp. On average, >1,600 individual sequences were generated for each PCR amplicon far beyond the few clones (

Non-Hodgkin's lymphoma (NHL) is a group of malignancies with heterogeneous genetic and epigenetic alterations. Discovery of molecular markers that better define NHL should improve diagnosis, prognosis and understanding of the biology. We developed a CpG island DNA microarray for discovery of aberrant methylation targets in cancer, and now apply this method to examine NHL cell lines and primary tumors. This methylation profiling revealed differential patterns in six cell lines originating from different subtypes of NHL. We identified 30 hypermethylated genes in these cell lines and independently confirmed 10 of them. Methylation of 6 of these genes was then further examined in 75 primary NHL specimens composed of four subtypes representing different stages of maturation. Each gene (DLC-1, PCDHGB7, CYP27B1, EFNA5, CCND1 and RARbeta2) was frequently hypermethylated in these NHLs (87, 78, 61, 53, 40 and 38%, respectively), but not in benign follicular hyperplasia. Although some genes such as DLC-1 and PCDHGB7 were methylated in the vast majority of NHLs, others were differentially methylated in specific subtypes. The methylation of the candidate tumor suppressor gene DLC-1 was detected in a high proportion of primary tumor and plasma DNA samples by using quantitative methylation-specific PCR analysis. This promoter hypermethylation inversely correlated with DLC-1 gene expression in primary NHL samples. Thus, this CpG island microarray is a powerful discovery tool to identify novel methylated genes for further studies of their relevant molecular pathways in NHLs and identification of potential epigenetic biomarkers of disease.

Recently, impressive technical advancements have been made in the isolation and validation of mammary stem cells and cancer stem cells (CSC), but the signaling pathways that regulate stem cell self-renewal are largely unknown. Furthermore, CSCs are believed to contribute to chemo- and radioresistance. In this study, we used the MMTV-Neu-Tg mouse mammary tumor model to identify potential new strategies for eliminating CSCs. We found that both luminal progenitor and basal stem cells are susceptible to genetic and epigenetic modifications, which facilitate oncogenic transformation and tumorigenic potential. A combination of the DNMT inhibitor 5-azacytidine and the HDAC inhibitor butyrate markedly reduced CSC abundance and increased the overall survival in this mouse model. RNA-seq analysis of CSCs treated with 5-azacytidine plus butyrate provided evidence that inhibition of chromatin modifiers blocks growth-promoting signaling molecules such as RAD51AP1 and SPC25, which play key roles in DNA damage repair and kinetochore assembly. Moreover, RAD51AP1 and SPC25 were significantly overexpressed in human breast tumor tissues and were associated with reduced overall patient survival. In conclusion, our studies suggest that breast CSCs are intrinsically sensitive to genetic and epigenetic modifications and can therefore be significantly affected by epigenetic-based therapies, warranting further investigation of combined DNMT and HDAC inhibition in refractory or drug-resistant breast cancer. Cancer Res; 76(11); 3224–35. ©2016 AACR.

It is well known that cancer cells are diverse and heterogeneous among patients, and that this heterogeneity makes cancer diagnosis and cure difficult. Intra-tumoral heterogeneity has very recently become important because a small proportion of drug-resistant or tumor-initiating cells can ultimately determine a patient's outcome. In this study, we propose new approaches to use variance tests, including the Lepage test, to identify inter-patient cancer heterogeneity, as well as multinomial logistic regression to identify intra-patient cancer heterogeneity, i.e., different epiallele composition. We conduct experiments to show the performance of the proposed approaches.

Glioblastoma (GBM) is the most common and most aggressive primary brain tumor in adults. The existence of a small population of stem-like tumor cells that efficiently propagate tumors and resist cytotoxic therapy is one proposed mechanism leading to the resilient behavior of tumor cells and poor prognosis. In this study, we performed an in-depth analysis of the DNA methylation landscape in GBM-derived cancer stem cells (GSCs). Parallel comparisons of primary tumors and GSC lines derived from these tumors with normal controls (a neural stem cell (NSC) line and normal brain tissue) identified groups of hyper- and hypomethylated genes that display a trend of either increasing or decreasing methylation levels in the order of controls, primary GBMs, and their counterpart GSC lines, respectively. Interestingly, concurrent promoter hypermethylation and gene body hypomethylation were observed in a subset of genes including MGMT, AJAP1 and PTPRN2. These unique DNA methylation signatures were also found in primary GBM-derived xenograft tumors indicating that they are not tissue culture-related epigenetic changes. Integration of GSC-specific epigenetic signatures with gene expression analysis further identified candidate tumor suppressor genes that are frequently down-regulated in GBMs such as SPINT2, NEFM and PENK. Forced re-expression of SPINT2 reduced glioma cell proliferative capacity, anchorage independent growth, cell motility, and tumor sphere formation in vitro. The results from this study demonstrate that GSCs possess unique epigenetic signatures that may play important roles in the pathogenesis of GBM.

Chronic lymphocytic leukemia (CLL), the most common adult leukemia, remains incurable despite advancements in treatment regimens over the past decade. Several expression profile studies have been pursued to better understand CLL pathogenesis. However, these large-scale studies only provide information at the transcriptional level. To better comprehend the differential protein changes that take place in CLL, we performed a reverse-phase protein array (RPPA) analysis using 167 different antibodies on B-cell lysates from 18 CLL patients and 6 normal donors. From our analysis, we discovered an enrichment of protein alterations involved with mRNA translation, specifically upregulation of the translation initiator eIF4G and phosphorylation of the cap-dependent translation inhibitor 4E-BP1 at serine 65. Interestingly, 4E-BP1 phosphorylation occurred independently of AKT phosphorylation, suggesting a disconnect between PI3K/AKT pathway activation and 4E-BP1 phosphorylation. Based on these results, we treated primary CLL samples with NVP-BEZ235, a PI3K/mTOR dual inhibitor, and compared its apoptotic-inducing potential against the BTK inhibitor Ibrutinib and the PI3Kδ inhibitor Idelalisib. We demonstrated that treatment with NVP-BEZ235 caused greater apoptosis, greater apoptotic cleavage of eIF4G, and greater dephosphorylation of 4E-BP1 in primary CLL cells. Taken together, these results highlight the potential dependence of eIF4G overexpression and 4E-BP1 phosphorylation in CLL survival.

Alternative splicing is widely recognized for its roles in regulating genes and creating gene diversity. Consequently the identification and quantification of differentially spliced transcripts is pivotal for transcriptome analysis. Here, we review the currently available computational approaches for the analysis of RNA-sequencing data with a focus on exon-skipping events of alternative splicing and discuss the novelties as well as challenges faced to perform differential splicing analyses. In accordance with operational needs we have classified the software tools, which may be instrumental for a specific analysis based on the experimental objectives and expected outcomes. In addition, we also propose a framework for future directions by pinpointing more extensive experimental validation to assess the accuracy of the software predictions and improvements that would facilitate visualizations, data processing, and downstream analyses along with their associated software implementations.

DNA methylation is the most studied epigenetic event in cancer, with focus being placed on studying the entire DNA methylation landscape in specific cancers. Due to the recent advances of next-generation sequencing technology, several effective methods have been developed for high-throughput analysis of DNA methylation, enabling DNA methylation markers to be innovative diagnostic and therapeutic strategies in cancer. In this review, we discuss various current and emerging technologies in DNA methylation analysis that integrate next-generation sequencing with the basic principles of methylation detections including methylation sensitive restriction enzyme digestion, affinity purification with antibody or binding proteins, and bisulfite treatment. Variations to these described methods have also allowed for detection of 5-hydroxymethylcytosine marks on a genome-wide scale. We also describe several of the bioinformatic tools used to properly analyze methylome-sequencing data. Finally, recently developed artificial transcription-factor (ATF) targeting tools may provide flexible manipulation of DNA methylation events in specific gene regions, revealing the functional consequences of particular DNA methylation events.

DNA methylation is the most studied epigenetic event in cancer, with focus being placed on studying the entire DNA methylation landscape in specific cancers. Due to the recent advances of next-generation sequencing technology, several effective methods have been developed for high-throughput analysis of DNA methylation, enabling DNA methylation markers to be innovative diagnostic and therapeutic strategies in cancer. In this review, we discuss various current and emerging technologies in DNA methylation analysis that integrate next-generation sequencing with the basic principles of methylation detections including methylation sensitive restriction enzyme digestion, affinity purification with antibody or binding proteins, and bisulfite treatment. Variations to these described methods have also allowed for detection of 5-hydroxymethylcytosine marks on a genome-wide scale. We also describe several of the bioinformatic tools used to properly analyze methylome-sequencing data. Finally, recently developed artificial transcription-factor (ATF) targeting tools may provide flexible manipulation of DNA methylation events in specific gene regions, revealing the functional consequences of particular DNA methylation events.

Improved care of patients with small B-cell lymphomas (SBCLs) is likely to result from the ongoing discovery of molecular markers that better define these malignant neoplasms. We identified multiple gene loci whose DNA methylation patterns differed between 3 types of SBCL: B-cell chronic lymphocytic leukemia/small lymphocytic lymphoma, mantle cell lymphoma, and grades I and II follicular lymphoma. This analysis was performed using an oligonucleotide microarray that allowed determination of the DNA methylation status of 156 loci in 38 genes. Combined bisulfite restriction analysis and methylation-specific polymerase chain reaction were used to validate the differential methylation of 6 of these genes. By using non-Hodgkin lymphoma cell lines as models, these genes were examined further for methylation and gene expression relationships. This study illustrates nonrandom epigenetic alterations in SBCLs that seem to preferentially involve lymphomas of germinal center derivation.

Pharmacologic- and gene-based therapies have historically been developed as two independent therapeutic platforms for cystic fibrosis (CF) lung disease. Inhibition of the dysregulated epithelial Na channel (ENaC) is one pharmacologic approach to enhance airway clearance in CF. We investigated pharmacologic approaches to enhance CFTR gene delivery with recombinant adeno-associated virus (rAAV) and identified compounds that significantly improved viral transduction while simultaneously inhibiting ENaC activity through an unrelated mechanism. Treatment of human CF airway epithelia with proteasome modulating agents (LLnL and doxorubicin) at the time of rAAV2 or rAAV2/5 infection dramatically enhanced CFTR gene delivery and correction of CFTR-mediated short-circuit currents. Surprisingly, these agents also facilitated long-term (15-day) functional inhibition of ENaC currents independent of CFTR vector administration. Inhibition of ENaC activity was predominantly attributed to a doxorubicin-dependent decrease in gamma-ENaC subunit mRNA expression and an increase in gamma-ENaC promoter methylation. This is the first report to describe the identification of compounds with dual therapeutic action that are able to enhance the efficacy of CFTR gene therapy to the airway while simultaneously ameliorating primary aspects of CF disease pathophysiology. The identification of such compounds mark a new area for drug development, not only for CF, but also for other gene therapy disease targets.

Hypermethylation of multiple CpG islands is a common event in cancer. To assess the prognostic values of this epigenetic alteration, we developed Methylation Target Array (MTA), derived from the concept of tissue microarray, for simultaneous analysis of DNA hypermethylation in hundreds of tissue genomes. In MTA, linker-ligated CpG island fragments were digested with methylation-sensitive endonucleases and amplified with flanking primers. A panel of 468 MTA amplicons, which represented the whole repertoire of methylated CpG islands in 93 breast tumors, 20 normal breast tissues, and 4 breast cancer cell lines, were arrayed on nylon membrane for probe hybridization. Positive hybridization signals detected in tumor amplicons, but not in normal amplicons, were indicative of aberrant hypermethylation in tumor samples. This is attributed to aberrant sites that were protected from methylation-sensitive restriction and were amplified by PCR in tumor samples, while the same sites were restricted and could not be amplified in normal samples. Hypermethylation frequencies of the 10 genes tested in breast tumors and cancer cell lines were 60% for GPC3, 58% for RASSF1A, 32% for 3OST3B, 30% for HOXA5, 28% for uPA, 25% for WT1, 23% for BRCA1, 9% for DAPK1, and 0% for KL. Furthermore, hypermethylation of 5 to 7 loci of these genes was significantly correlated with hormone receptor status, clinical stages, and ages at diagnosis of the patients analyzed. This novel approach thus provides an additional avenue for assessing clinicopathological consequences of DNA hypermethylation in breast cancer.

Gene silencing via promoter CpG island hypermethylation offers tumor cells growth advantages. This epigenetic event is pharmacologically reversible, and uncovering a unique set of methylation-silenced genes in tumor cells can bring a new avenue to cancer treatment. However, high-throughput tools capable of surveying the methylation status of multiple gene promoters are needed for this discovery process. Herein we describe an oligonucleotide-based microarray technique that is both versatile and sensitive in revealing hypermethylation in defined regions of the genome. DNA samples are bisulfite-treated and PCR-amplified to distinguish CpG dinucleotides that are methylated from those that are not. Fluorescently labeled PCR products are hybridized to arrayed oligonucleotides that can discriminate between methylated and unmethylated alleles in regions of interest. Using this technique, two clinical subtypes of non-Hodgkin's lymphomas, mantle cell lymphoma, and grades I/II follicular lymphoma, were further separated based on the differential methylation profiles of several gene promoters. Work is underway in our laboratory to extend the interrogation power of this microarray system in multiple candidate genes. This novel tool, therefore, holds promise to monitor the outcome of various epigenetic therapies on cancer patients.

Differential methylation hybridization (DMH) is a high-throughput microarray technique designed to identify changes in DNA methylation patterns commonly observed in cancer and other disease states. The DMH methodology comprises three fundamental components: the arraying of CpG island clones on glass slides, the preparation of the sample amplicons under investigation, and the hybridization of amplicon targets onto the CpG island microarray. Herein, we outline the DMH protocol and illustrate its utility and the validation approaches used in analyzing the hypermethylation profile of breast tumor and normal samples.

Background Pancreatic cancer is one of the cancers where anti-PD-L1/PD-1 immunotherapy has been unsuccessful. The aim of this study is to elucidate the underlying mechanism of PD-L1 expression regulation in the context of pancreatic cancer immune evasion. Methods Pancreatic cancer mouse models and human specimens were used to determine PD-L1 and PD-1 expression and cancer immune evasion. Histone methyltransferase inhibitors, RNAi and overexpression were used to elucidate underlying molecular mechanism of PD-L1 expression regulation. All statistical tests were two-sided. Results PD-L1 is expressed in 60–90% of tumor cells in human pancreatic carcinomas and in 9 of 10 human pancreatic cancer cell lines. PD-1 is expressed in 51.2–52.1% of pancreatic tumor-infiltrating cytotoxic T lymphocytes (CTLs). Tumors grow statistically significantly faster in FasL-deficient mice than in wild type mice and when CTLs are neutralized. H3K4 trimethylation (H3K4me3) is enriched in the cd274 promoter in pancreatic tumor cells. MLL1 directly binds to the cd274 promoter to catalyze H3K4me3 to activate PD-L1 transcription in tumor cells. Inhibition or silencing of MLL1 decreases H3K4me3 level in the cd274 promoter and PD-L1 expression in tumor cells. Accordingly, inhibition of MLL1 in combination with anti-PD-L1 or anti-PD-1 antibody immunotherapy effectively suppresses pancreatic tumor growth in a FasL- and CTL-dependent manner. Conclusions The Fas-FasL/CTLs and the MLL1-H3K4me3-PD-L1 axis play contrasting roles in pancreatic cancer immune surveillance and evasion. Targeting the MLL1-H3K4me3 axis is an effective approach to enhance the efficacy of checkpoint immunotherapy against pancreatic cancer.

Tumor infiltrating lymphocytes (TILs) play a critical role in regulating the immunomodulatory properties of triple negative breast cancer (TNBC). However, the specific adaptations that TNBC tumors undergo when challenged by lymphocyte infiltration remain unclear. In order to address this gap in knowledge, we conducted an immuno-phenotype comparison using mRNA sequencing between the TNBC cell line MDA-MB-231 and the luminal breast cancer cell line MCF7 after both were co-cultured with activated human T-cells. Although the cytokine-induced immune signature of the two cell lines were similar, MDA-MD-231 cells were able to transcribe the tryptophan catabolizing enzyme IDO1 at a significantly higher level than MCF7 cells. Stimulation with IFNg was able to differentially induce IDO protein expression and enzymatic activity in ER- cell lines compared to ER+ cell lines, though no differences were observed in upstream JAK/STAT1 signaling or IDO1 mRNA stability between the two cell lines. Further experiments showed that treatment with the demethylating agent 5-aza-deoxycytidine was able to reverse suppression of IDO1 expression in MCF7 cells, suggesting that DNA methylation serves as a potential determinant in IDO1 induction. Analysis of TCGA and other previously published breast cancer datasets revealed subtype-specific mRNA and promoter methylation differences in IDO1, with TNBC/basal-like subtypes exhibiting lower promoter methylation and higher mRNA expression than ER+/luminal subtypes. Bisulfite pyrosequencing validated the subtype-specific association of decreased promoter methylation with increased IDO1 expression in breast cancer cell lines and an independent cohort of primary breast tumors. In addition, decreased IDO1 promoter methylation and elevated IDO1 expression in basal-like breast tumors was found to be associated with increased levels of kynurenine, the metabolic product of IDO1, as well as higher numbers of CD8+ TILs. Furthermore, high kynurenine levels in breast tumors were associated with worse patient survival. Taken together, these findings suggest that subtype-specific IDO1 promoter methylation regulates the ability of breast tumors to escape from antitumor immune responses driven by CD8+ TILs and could be used as a predictive biomarker for IDO inhibitor-based immunotherapy. Citation Format: Gu F, Noonepalle SK, Lee E-J, Choi J-H, Shull AY, Pei L, Sreekumar A, Ambs S, Shi H. Modulation of indoleamine 2, 3-dioxygenase (IDO1) expression in breast cancer cells by activated CD8+ T cells is controlled by DNA promoter methylation [abstract]. In: Proceedings of the 2016 San Antonio Breast Cancer Symposium; 2016 Dec 6-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2017;77(4 Suppl):Abstract nr P6-02-08.

Purpose: Metastasis is the leading cause of death for gastric carcinoma. An epigenetic biomarker panel for predicting gastric carcinoma metastasis could have significant clinical impact on the care of patients with gastric carcinoma. The main purpose of this study is to characterize the methylation differences between gastric carcinomas with and without metastasis. Experimental Design: Genome-wide DNA methylation profiles between 4 metastatic and 4 nonmetastatic gastric carcinomas and their surgical margins (SM) were analyzed using methylated-CpG island amplification with microarray. The methylation states of 73 candidate genes were further analyzed in patients with gastric carcinoma in a discovery cohort (n = 108) using denatured high performance liquid chromatography, bisulfite-sequencing, and MethyLight. The predictive values of potential metastasis-methylation biomarkers were validated in cohorts of patients with gastric carcinoma in China (n = 330), Japan (n = 129), and Korea (n = 153). Results: The gastric carcinoma genome showed significantly higher proportions of hypomethylation in the promoter and exon-1 regions, as well as increased hypermethylation of intragenic fragments when compared with SMs. Significant differential methylation was validated in the CpG islands of 15 genes (P < 0.05) and confirmed using bisulfite sequencing. These genes included BMP3, BNIP3, CDKN2A, ECEL1, ELK1, GFRA1, HOXD10, KCNH1, PSMD10, PTPRT, SIGIRR, SRF, TBX5, TFPI2, and ZNF382. Methylation changes of GFRA1, SRF, and ZNF382 resulted in up- or downregulation of their transcription. Most importantly, the prevalence of GFRA1, SRF, and ZNF382 methylation alterations was consistently and coordinately associated with gastric carcinoma metastasis and the patients' overall survival throughout discovery and validation cohorts in China, Japan, and Korea. Conclusion: Methylation changes of GFRA1, SRF, and ZNF382 may be a potential biomarker set for prediction of gastric carcinoma metastasis. Clin Cancer Res; 20(17); 4598–612. ©2014 AACR.

Chronic lymphocytic leukemia (CLL), characterized by the progressive and uncontrolled accumulation of CD19+ B cells, currently remains as an incurable malignancy. The difficulties of eliciting curative measures in CLL are partly driven by the adaptability of the transcriptional response mediated by epigenetic mechanisms. In this study, we sought to better characterize the complexities of the CLL transcriptional profile by conducting an integrative analysis between the B cell enhancer and super enhancer signatures defined from 3 B cell H3K27Ac ChIPseq samples (CD19+ B cell, GM12878, and MEC1), the DNA methylation signatures defined from reduced-representation bisulfite sequencing (RRBS) of 42 CLL patient and 8 healthy donor samples, and the mRNA expression signatures defined from RNA sequencing of 47 CLL patient and 5 healthy donor samples. From our analysis, we identified super enhancers (SEs) in each of the ChIPseq profiles (approximately 4% of called enhancers) and discovered 741 SEs in GM12878, 374 SEs in MEC1, and 523 SEs in the CD19+ B cell profiles, respectively. Based on MSigDB gene ontology analysis, many of the genes corresponding with SEs were involved in pathways regulating immune signaling activation (e.g. TNFA_SIGNALING_VIA_NFKB, INFLAMMATORY RESPONSE) or metabolic homeostasis (e.g. MTORC1_SIGNALING, FATTY_ACID_METABOLISM). By further analyzing the corresponding expression level of SE-associated genes in CLL patients, we identified 190 transcripts associated with SEs that were significantly overexpressed in CLL patient B cells (Student's t-test p Disclosures Awan: Innate Pharma: Research Funding; Pharmacyclics: Consultancy; Novartis Oncology: Consultancy.

In this study, expression of green fluorescence protein (GFP) on the external surface of Escherichia coli was achieved by construction of a fusion protein between Lpp-OmpA hybrid and a GFP variant, GFPmut2. The GFP was fused in frame to the carboxyl-terminus of Lpp-OmpA fusion previously shown to direct various other heterologous proteins to E. coli cell surface. Western blot analysis of membrane fractions identified the Lpp-OmpA-GFP fusion protein with the expected size (43 kDa). Immunofluorescence microscopy, immunoelectron microscopy, protease and extracellular pH sensitivity assays further confirmed that GFP is anchored on the outer membrane. The GFP displayed on the E. coli outer surface retained its fluorescence and was not susceptible to the indigenous outer membrane protease OmpT even though there are two putative OmpT proteolytic sites present in GFP. Optimization of the expression conditions was conducted using fluorometry, eliminating cumbersome immuno-labeling procedures. Surface-displayed GFP could be used in a variety of applications including screening of polypeptide libraries, development of live vaccines, construction of whole cell allosteric biosensors, and signal transduction studies.

褐炭の液相酸化で得られるグリコール酸, 酢酸, 蟻酸, マロン酸を水素細菌.Alcaligenes eutrophusを利用して, 生分解性プラスチックの原料であるポリβ-ヒドロキシ酪酸 (PHB) に変換させるための培養工学的検討を行った.これら有機酸を単一炭素源として培養した結果, 酢酸が最も効率よくPHBに変換されることがわかった.また混合有機酸で培養した場合は, 蟻酸, 酢酸, グリコール酸の順で菌体に利用され, PHBに変換できることがわかった.マロン酸は菌体増殖に利用されないが, 培養データを用いて代謝流速分布を計算して解析した結果, 培養途中でこれを添加すると, トリカルボン酸 (TCA) 回路のコハク酸脱水素酵素が競合阻害を受け, グリオリシル酸経路および糖新生経路の流束が低下することが示唆された.また, イソクエン酸から生産されるNADPHは, アンモニア濃度が高ければ, TCA回路のα-ケトグルタル酸からグルタミン酸に至る経路で優先的に消費されるが, アンモニア濃度の低下に伴って, アセトアセチルCoAからPHB合成に至る経路で利用されることがわかった.

Recently, the large scale production of Poly- β -hydroxybutyrate (PHB) by bacteria has become a subject of increasing interest. In the previous study, we found a constant flux to TCA cycle through isocitrate dehydrogenase under both balanced growth and nitrogen limiting conditions in fed-batch culture of A. eutrophus using the flux computation (Shi et al., 1997). The objectives of this study were to develop an effective monitoring system for the production of PHB based on the information obtained from metabolic flux analysis. A linear relationship among substrate consumption rate, oxygen consumption rate, and PHB production rate was obtained and further used for the on-line estimation of PHB production in fed-batch culture of A. eutrophus on butyrate.

In this work, an integrated modeling approach based on a metabolic signal flow diagram and cellular energetics was used to model the metabolic pathway analysis for the cultivation of yeast on glucose. This approach enables us to make a clear analysis of the flow direction of the carbon fluxes in the metabolic pathways as well as of the degree of activation of a particular pathway for the synthesis of biomaterials for cell growth. The analyses demonstrate that the main metabolic pathways of Saccharomyces cerevisiae change significantly during batch culture. Carbon flow direction is toward glycolysis to satisfy the increase of requirement for precursors and energy. The enzymatic activation of TCA cycle seems to always be at normal level, which may result in the overflow of ethanol due to its limited capacity. The advantage of this approach is that it adopts both virtues of the metabolic signal flow diagram and the simple network analysis method, focusing on the investigation of the flow directions of carbon fluxes and the degree of activation of a particular pathway or reaction loop. All of the variables used in the model equations were determined on-line; the information obtained from the calculated metabolic coefficients may result in a better understanding of cell physiology and help to evaluate the state of the cell culture process.

Lymphopoiesis of B-lineage cells is a complex process requiring stage-specific expression of multiple surface and cytoplasmic proteins that contribute to development and function. This complex process comprises biological progression from a lymphoid progenitor cell to a terminally differentiated plasma cell. Each step in this normal biological progression also has a malignant counterpart either referred to as leukemia or lymphoma (Figure 1a and b).1

Noting that a metabolic signal flow diagram-based modelling approach developed by Endo and Inoue (Endo and Inoue, 1976) is restricted to a linear system applicable over the range of linearity of interest, we attempted to overcome such a restriction, and developed an integrated modelling approach by incorporating an energetic model into MSFD. The proposed approach was applied to continuous cultivation of Saccharomyces cerevisiae. The problem was formulated in terms of a flow network that has as its objective maximal ATP synthesis. The metabolic conversion coefficients Cij in the metabolic signal flow diagram can be expressed as a function of z, the fraction of the total carbon flux into the Embden-Meyerhof-Parnas pathway. The resulting model equations were used for analysis of the directions of carbon fluxes and the degree of activation of a particular pathway or reaction loop in S. cerevisiae cultivation, in which the physiological state and the changes in fluxes of the main metabolic pathways in the viable cells can be distinguished in terms of the signs of the metabolic coefficients.

Using the available biochemical information, metabolic networks have been constructed to describe the biochemistry of synthesis of poly-β-hydroxybutyrate (PHB) in Alcaligenes eutrophus on a variety of carbon substrates. A metabolic flux analysis of PHB biosynthesis under nitrogen limited conditions was made using butyrate, lactate and acetate as carbon sources. Although the substrates share most metabolic pathways, their flux distributions are quite different. In the case with butyrate as the carbon source, a nearly constant flux of TCA cycle through isocitrate dehydrogenase under both balanced growth and nitrogen limiting conditions was obtained from the flux computation. The carbon flow was determined to proceed alternatively through the glyoxylate pathway or the PHB synthetic pathway according to the availability of a nitrogen source. A block in the amino acid synthetic pathway may result in the overproduction of NADPH and accelerate the biosynthesis of PHB. Flux ratios allow a comparison of the effects of carbon sources on PHB synthesis. The results demonstrate that butyrate is more efficient than acetate and lactate for PHB production from an energetic point of view. the metabolic networks constructed were also applied to perform a theoretical analysis on the overproduction of PHB. The results indicate that the maximum PHB yield may be limited by the available NADPH.

Background Cellular differentiation is characterized by the acquisition of specialized structures and functions, cell cycle exit, and global attenuation of the DNA damage response. It is largely unknown how these diverse cellular events are coordinated at the molecular level during differentiation. We addressed this question in a model system of neuroblastoma cell differentiation induced by HOXC9. Results We conducted a genome-wide analysis of the HOXC9-induced neuronal differentiation program. Microarray gene expression profiling revealed that HOXC9-induced differentiation was associated with transcriptional regulation of 2,370 genes, characterized by global upregulation of neuronal genes and downregulation of cell cycle and DNA repair genes. Remarkably, genome-wide mapping by ChIP-seq demonstrated that HOXC9 bound to 40% of these genes, including a large number of genes involved in neuronal differentiation, cell cycle progression and the DNA damage response. Moreover, we showed that HOXC9 interacted with the transcriptional repressor E2F6 and recruited it to the promoters of cell cycle genes for repressing their expression. Conclusions Our results demonstrate that HOXC9 coordinates diverse cellular processes associated with differentiation by directly activating and repressing the transcription of distinct sets of genes.

The Mi-2/nucleosome remodeling and histone deacetylase (NuRD) complex is a multiprotein machine proposed to regulate chromatin structure by nucleosome remodeling and histone deacetylation activities. Recent reports describing localization of NuRD provide new insights that question previous models on NuRD action, but are not in complete agreement. Here, we provide location analysis of endogenous MBD3, a component of NuRD complex, in two human breast cancer cell lines (MCF-7 and MDA-MB-231) using two independent genomic techniques: DNA adenine methyltransferase identification (DamID) and ChIP-seq. We observed concordance of the resulting genomic localization, suggesting that these studies are converging on a robust map for NuRD in the cancer cell genome. MBD3 preferentially associated with CpG rich promoters marked by H3K4me3 and showed cell-type specific localization across gene bodies, peaking around the transcription start site. A subset of sites bound by MBD3 was enriched in H3K27ac and was in physical proximity to promoters in three-dimensional space, suggesting function as enhancers. MBD3 enrichment was also noted at promoters modified by H3K27me3. Functional analysis of chromatin indicated that MBD3 regulates nucleosome occupancy near promoters and in gene bodies. These data suggest that MBD3, and by extension the NuRD complex, may have multiple roles in fine tuning expression for both active and silent genes, representing an important step in defining regulatory mechanisms by which NuRD complex controls chromatin structure and modification status., Author Summary Chromatin structure is tightly regulated by multiple mechanisms; its dysregulation is associated with developmental abnormalities and disease. The Mi-2/nucleosome remodeling and histone deacetylase (NuRD) complex is proposed to regulate chromatin structure by changing the location and/or the chemical properties of the fundamental building block of chromatin, the nucleosome. NuRD has been shown by genetics to be important for normal development, yet the detailed mechanism of how NuRD regulates chromatin structure is still unclear. Here, we study the localization and function of MBD3, a component of NuRD, in two human breast cancer cell lines using two independent genomic technologies. Our data demonstrate that existing models, which associate NuRD with transcriptional repression, are not completely correct. Rather, MBD3 showed cell-type specific localization at active genes. Moreover, we found a previously unidentified localization of MBD3 across gene bodies and identified a regulatory role for MBD3 in nucleosome organization. Our data provide a reliable starting point from which to address mechanisms by which NuRD controls chromatin structure and nuclear biology.

In lymphoid malignancies, aberrant epigenetic mechanisms such as DNA methylation and histone modifications influence chromatin architecture and can result in altered gene expression. These alterations commonly affect genes that play important roles in the cell cycle, apoptosis, and DNA repair in non-Hodgkin lymphoma (NHL). The ability to identify epigenetic modifications to these important genes has increased exponentially due to advances in technology. As a result, there are well-defined, gene-specific epigenetic aberrations associated with NHL comprising follicular lymphoma (FL), mantle cell lymphoma (MCL), chronic lymphocytic leukemia (CLL), and diffuse large B-cell lymphoma (DLBCL). The identification of these genes is important because they may be used as biomarkers for prognosis, diagnosis and in developing improved treatment strategies. Also important, in the control of gene expression, is the packaging of DNA within the nucleus of a cell. This packaging can be distorted by epigenetic alterations and may alter the accessibility of certain regions of the genome in cancer cells. This review discusses the impact of known epigenetic aberration on the regulation of gene expression in NHL and provides insight into the spatial conformation of the genome (DNA packaging) in acute lymphoblastic leukemia.

In this study we performed a systematic evaluation of functional miRNA-mRNA interactions associated with the invasiveness of breast cancer cells using a combination of integrated miRNA and mRNA expression profiling, bioinformatics prediction, and functional assays. Analysis of the miRNA expression identified 11 miRNAs that were differentially expressed, including 7 down-regulated (miR-200c, miR-205, miR-203, miR-141, miR-34a, miR-183, and miR-375) and 4 up-regulated miRNAs (miR-146a, miR-138, miR-125b1 and miR-100), in invasive cell lines when compared to normal and less invasive cell lines. Transfection of miR-200c, miR-205, and miR-375 mimics into MDA-MB-231 cells led to the inhibition of in vitro cell migration and invasion. The integrated analysis of miRNA and mRNA expression identified 35 known and novel target genes of miR-200c, miR-205, and mir-375, including CFL2, LAMC1, TIMP2, ZEB1, CDH11, PRKCA, PTPRJ, PTPRM, LDHB, and SEC23A. Surprisingly, the majority of these genes (27 genes) were target genes of miR-200c, suggesting that miR-200c plays a pivotal role in regulating the invasiveness of breast cancer cells. We characterized one of the target genes of miR-200c, CFL2, and demonstrated that CFL2 is overexpressed in aggressive breast cancer cell lines and can be significantly down-regulated by exogenous miR-200c. Tissue microarray analysis further revealed that CFL2 expression in primary breast cancer tissue correlated with tumor grade. The results obtained from this study may improve our understanding of the role of these candidate miRNAs and their target genes in relation to breast cancer invasiveness and ultimately lead to the identification of novel biomarkers associated with prognosis.

Meningiomas are a common form of adult brain tumors. Although most meningiomas are benign tumors that are associated with favorable outcomes, a small group of patients develop more aggressive manifestations which currently are more difficult to treat. It has increasingly been recognized that tumor stem-like cells play critical roles in tumor recurrence, angiogenesis, and invasion in malignant brain tumors. Several recent studies identified the stem-like features of sphere-forming cells in human meningiomas. These meningioma sphere cells expressed various progenitor cell biomarkers and can undergo differentiation if appropriate stimuli are applied. Moreover, these meningioma stem-like cells are more resistant to irradiation treatment, and tumorigenic in in vivo xenograft models. These new findings could lead to a better understanding of the development and etiology of meningioma formation and suggest that meningioma stem-like cells may serve as a novel target in therapeutically resistant meningiomas.

SummaryCommensal gut microflora and dietary fiber protect against colonic inflammation and colon cancer through unknown targets. Butyrate, a bacterial product from fermentation of dietary fiber in the colon, has been implicated in this process. GPR109A (encoded by Niacr1) is a receptor for butyrate in the colon. GPR109A is also a receptor for niacin, which is also produced by gut microbiota and suppresses intestinal inflammation. Here we showed that Gpr109a signaling promoted anti-inflammatory properties in colonic macrophages and dendritic cells and enabled them to induce differentiation of Treg cells and IL-10-producing T cells. Moreover, Gpr109a was essential for butyrate-mediated induction of IL-18 in colonic epithelium. Consequently, Niacr1−/− mice were susceptible to development of colonic inflammation and colon cancer. Niacin, a pharmacological Gpr109a agonist, suppressed colitis and colon cancer in a Gpr109a-dependent manner. Thus, Gpr10a has an essential role in mediating the beneficial effects of gut microbiota and dietary fiber in colon.

Epigenetic changes, especially DNA methylation at CpG loci have important implications in cancer and other complex diseases. With the development of next-generation sequencing (NGS), it is feasible to generate data to interrogate the difference in methylation status for genome-wide loci using case-control design. However, a proper and efficient statistical test is lacking. There are several challenges. First, unlike methylation experiments using microarrays, where there is one measure of methylation for one individual at a particular CpG site, here we have the counts of methylation allele and unmethylation allele for each individual. Second, due to the nature of sample preparation, the measured methylation reflects the methylation status of a mixture of cells involved in sample preparation. Therefore, the underlying distribution of the measured methylation level is unknown, and a robust test is more desirable than parametric approach. Third, currently NGS measures methylation at over 2 million CpG sites. Any statistical tests have to be computationally efficient in order to be applied to the NGS data. Taking these challenges into account, we propose a test for differential methylation based on clustered data analysis by modeling the methylation counts. We performed simulations to show that it is robust under several distributions for the measured methylation levels. It has good power and is computationally efficient. Finally, we apply the test to our NGS data on chronic lymphocytic leukemia. The results indicate that it is a promising and practical test.

Chronic lymphocytic leukemia (CLL) is a malignancy characterized by the progressive accumulation of CD19+ B-cells capable of overcoming their regulated life cycle. Because this disease is highly heterogeneous and utilizes several mechanisms to resist apoptotic death, CLL currently remains incurable. Based on the ongoing efforts to interpret the transcriptional dynamics of CLL pathogenicity as well as prior reports demonstrating the efficacy of cyclin-dependent kinase (CDK) transcriptional inhibitors, we sought to characterize the molecular response of CLL cells treated with the covalent CDK7 inhibitor THZ1 and determine the therapeutic potential of CDK7 inhibition in CLL. We first observed that THZ1 was able to inhibit growth in malignant B-cell lines MEC1 and MEC2 in both a dose dependent (IC50: .045uM & .030uM, respectively) and time dependent manner. The inhibition in cell growth corresponded with both G1-mediated cell cycle arrest as well as apoptosis in the respective cell lines. We also observed dose-dependent reduction in cell viability through apoptosis in patient-derived CLL B-cells after 24 hours. Because of the observed outcomes of THZ1-treated CLL cells, we then wanted to determine the specific transcriptional targets significantly suppressed by THZ1 treatment. To identify the THZ1-sensitive transcripts, we performed a time course RNAseq expression analysis in both MEC1 and MEC2 treated with 50nM THZ1. Based on the incremental reduction of covered reads over a 12-hour period, we determined that the top 50 transcripts greatly diminished in both MEC1 and MEC2 contain significant enrichment in genes attributed to glycolytic metabolism (ex: ALDOC, SLC2A1, TPI1, GAPDH, ENO2). Along with the overlapping comparison between the two cell lines, we next compared the downregulated transcripts from the treated cell lines against the RNAseq expression profile of 47 CLL patients and 5 healthy donors. We observed that THZ1 was able to suppress transcripts upregulated in CLL patient samples including ENO2, FGR, WNT10A, and CBX7 in MEC1 and ENO2, MALAT1, CCR7, and PLCG1 in MEC2. Finally, we performed H3K27Ac ChIPseq in MEC1 to identify super enhancers that may overlap with THZ1-sensitive transcripts. From this comparison, we determined that super enhancers exist within reported oncogenic drivers CBX7, WNT10A, and FGR. Overall, we observe that THZ1 can effectively overcome the anti-apoptotic phenotype of CLL B-cells as well as directly suppress transcription of genes that can drive CLL malignancy. With the addition of CDK7 ChIPseq, our ultimate goal is to provide clarity regarding CDK7-mediated transcriptional regulation in CLL and demonstrate the molecular consequences of therapeutic CDK7 inhibition in CLL. Citation Format: Austin Young Shull, Jeong-Hyeon Choi, Jordan Bauer, Lirong Pei, Farrukh T. Awan, Huidong Shi. The covalent CDK7 inhibitor THZ1 can counteract apoptotic resistance and suppress the transcription of genes attributed to chronic lymphocytic leukemia malignancy. [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 4697.

Splicing factor SF3B1 is frequently mutated in about 10-15% of CLL patients. SF3B1 mutations are predominately associated with faster disease progression and poor overall survival, and mutations are typically enriched in approximately 20% relapsed and chemorefractory CLL patients. Therefore, there is a growing interest in using SF3B1 as a therapeutic target for CLL. In this study, we investigated the effectiveness of Sudemycin D6 (SD6), a small molecule SF3B1 inhibitor, in reducing cell viability and promoting apoptosis in CLL cells. We then isolated RNA from both the SD6-treated and control cells at 2, 6, and 24hr post-treatment and performed RNA sequencing analysis to investigate the global impact. We demonstrated that SD6 effectively inhibits cell growth and induces apoptosis in CLL cells at a nanomolar concentration in both a time and dosage dependent manner. Furthermore, global analysis of the RNA sequencing data revealed that treatment with SD6 causes an aberrant splicing signature with significant increase in global intron retention. The increase in global intron retention peaked at 6hr then significantly diminished at 24hr post-treatment. Ontology analysis of the intron-retaining transcripts using the Ingenuity Pathway Analysis (IPA) software package suggested that B-cell receptor (BCR) signaling, protein ubiquitination, and PI3K signaling were among the top canonical pathways affected by SD6 treatment. Using RT-PCR analysis, we confirmed intron retention events in several components of the BCR pathway, such as BTK, BLNK, and PIK3CD, and an exon-skipping event in the exons encoding the kinase domain of Bruton's Tyrosine Kinase. The increase in intron retention significantly correlated with a decrease in overall mRNA and protein expression levels of the affected downstream BCR pathway proteins like AKT, PI3Kδ, and PLCγ2. Furthermore, SD6 treatment induced a time-dependent exon-skipping event in the apoptotic regulator MCL1, resulting in alternative splicing of the long, anti-apoptotic isoform of MCL1 into the short, pro-apoptotic isoform. SD6 treatment also caused downregulation of anti-apoptotic gene TRAF1 at both the mRNA and protein level, which could contribute to SD6-induced apoptosis. Cumulatively, these results strongly suggest that SF3B1 is a promising target for therapeutic treatment in CLL. Our study also provides solid rationale for future clinical development of spliceosome inhibitors and combination therapies based on spliceosome inhibitors. Citation Format: Qimei Han, Austin Young Shull, Fang Shi, Chandraiah Lagisetti, Thomas Webb, Justin Choi, Huidong Shi. Inhibition of SF3B1 causes global intron retention and downregulation of the B-cell receptor pathway in chronic lymphocytic leukemia. [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 1997.

Composition of the gut microbiota has profound effects on intestinal carcinogenesis. Diet and host genetics play critical roles in shaping the composition of gut microbiota. Whether diet and host genes interact with each other to bring specific changes in gut microbiota that affect intestinal carcinogenesis is unknown. Ability of dietary fibre to specifically increase beneficial gut microbiota at the expense of pathogenic bacteria in vivo via unknown mechanism is an important process that suppresses intestinal inflammation and carcinogenesis. Free fatty acid receptor 2 (FFAR2 or GPR43) is a receptor for short-chain fatty acids (acetate, propionate and butyrate), metabolites of dietary fibre fermentation by gut microbiota. Here, we show FFAR2 is down modulated in human colon cancers than matched adjacent healthy tissue. Consistent with this, Ffar2−/− mice are hypersusceptible to development of intestinal carcinogenesis. Dietary fibre suppressed colon carcinogenesis in an Ffar2-dependent manner. Ffar2 played an essential role in dietary fibre-mediated promotion of beneficial gut microbiota, Bifidobacterium species (spp) and suppression of Helicobacter hepaticus and Prevotellaceae. Moreover, numbers of Bifidobacterium is reduced, whereas those of Prevotellaceae are increased in human colon cancers than matched adjacent normal tissue. Administration of Bifidobacterium mitigated intestinal inflammation and carcinogenesis in Ffar2−/− mice. Taken together, these findings suggest that interplay between dietary fibre and Ffar2 play a key role in promoting healthy composition of gut microbiota that stimulates intestinal health.

We conducted a genome-wide DNA methylation analysis in CD19 (+) B-cells from chronic lymphocytic leukemia (CLL) patients and normal control samples using reduced representation bisulfite sequencing (RRBS). The methylation status of 1.8-2.3 million CpGs in the CLL genome was determined; about 45% of these CpGs were located in more than 23,000 CpG islands (CGIs). While global CpG methylation was similar between CLL and normal B-cells, 1764 gene promoters were identified as being differentially methylated in at least one CLL sample when compared with normal B-cell samples. Nineteen percent of the differentially methylated genes were involved in transcriptional regulation. Aberrant hypermethylation was found in all HOX gene clusters and a significant number of WNT signaling pathway genes. Hypomethylation occurred more frequently in the gene body including introns, exons, and 3'-UTRs in CLL. The NFATc1 P2 promoter and first intron was found to be hypomethylated and correlated with upregulation of both NFATc1 RNA and protein expression levels in CLL suggesting that an epigenetic mechanism is involved in the constitutive activation of NFAT activity in CLL cells. This comprehensive DNA methylation analysis will further our understanding of the epigenetic contribution to cellular dysfunction in CLL.

Recent studies have shown that overexpression of Heat Shock Factor (HSF) 1 in aneuploid tumor cells can overcome deficiencies in heat shock protein (HSP) 90-mediated protein folding and restore protein homeostasis. In this study we determined the mechanisms by which HSF1 promotes HSP90 function and CLL pathogenesis using CLL as model system. We report that HSF1 is overexpressed in CLL and treatment with triptolide (a small molecule inhibitor of HSF1) induces apoptosis in cultured and primary CLL B-cells. Mechanistically, we demonstrate that knockdown of HSF1 or its inhibition with triptolide results in the reduced association of HSP90 with its kinase co-chaperone cell division cycle 37 (CDC37), leading to the partial depletion of HSP90 client kinases, Bruton's Tyrosine Kinase (BTK), c-RAF and cyclin-dependent kinase 4 (CDK4). RNA-sequencing of control and HSF1-knockdown CLL cells revealed that HSF1 regulates the transcription of upstream modulators of the NF-kB pathway including MYD88 and TLR1. Consequently, treatment with triptolide or knockdown of HSF1 inhibits NF-kB signaling in CLL cells. In an in vivo model of CLL, tail vein injection of luciferase-expressing Mec-1 cells into Rag2-/-IL2Rγc-/- mice followed by daily intraperitoneal injection of minnelide (a pro-drug of triptolide) for 28 days reduced in vivo disease burden and conferred significant survival advantage (p Disclosures Saluja: Minneamrita Therapeutics: Equity Ownership.

Bisulfite sequencing (BS-seq) is one of the most important sequencing protocols for genome-wide DNA methylation studies. However, it causes significant challenges in computation because it converts unmethylated cytosines to thymines. This paper presents a software package to address those challenges and to provide various kinds of analysis modules, from mapping to comparing multiple samples.

Although alterations in xenobiotic metabolism are considered causal in the development of bladder cancer, the precise mechanisms involved are poorly understood. In this study, we used high-throughput mass spectrometry to measure over 2,000 compounds in 58 clinical specimens, identifying 35 metabolites which exhibited significant changes in bladder cancer. This metabolic signature distinguished both normal and benign bladder from bladder cancer. Exploratory analyses of this metabolomic signature in urine showed promise in distinguishing bladder cancer from controls and also nonmuscle from muscle-invasive bladder cancer. Subsequent enrichment-based bioprocess mapping revealed alterations in phase I/II metabolism and suggested a possible role for DNA methylation in perturbing xenobiotic metabolism in bladder cancer. In particular, we validated tumor-associated hypermethylation in the cytochrome P450 1A1 (CYP1A1) and cytochrome P450 1B1 (CYP1B1) promoters of bladder cancer tissues by bisulfite sequence analysis and methylation-specific PCR and also by in vitro treatment of T-24 bladder cancer cell line with the DNA demethylating agent 5-aza-2′-deoxycytidine. Furthermore, we showed that expression of CYP1A1 and CYP1B1 was reduced significantly in an independent cohort of bladder cancer specimens compared with matched benign adjacent tissues. In summary, our findings identified candidate diagnostic and prognostic markers and highlighted mechanisms associated with the silencing of xenobiotic metabolism. The metabolomic signature we describe offers potential as a urinary biomarker for early detection and staging of bladder cancer, highlighting the utility of evaluating metabolomic profiles of cancer to gain insights into bioprocesses perturbed during tumor development and progression. Cancer Res; 71(24); 7376–86. ©2011 AACR.

Background— Despite intensive investigation, how DNA methylation influences endothelial function remains poorly understood. We used methyl-CpG–binding domain protein 2 (MBD2), an interpreter for DNA methylome–encoded information, to dissect the impact of DNA methylation on endothelial function in both physiological and pathophysiological states. Methods and Results— Human umbilical vein endothelial cells under normal conditions express moderate levels of MBD2, but knockdown of MBD2 by siRNA significantly enhanced angiogenesis and provided protection against H 2 O 2 -induced apoptosis. Remarkably, Mbd2 −/− mice were protected against hind-limb ischemia evidenced by the significant improvement in perfusion recovery, along with increased capillary and arteriole formation. Loss of MBD2 activated endothelial survival and proangiogenic signals downstream of vascular endothelial growth factor signaling characterized by an increase in endothelial nitric oxide synthase (eNOS) and vascular endothelial growth factor receptor 2 expression, along with enhanced extracellular signal-regulated kinase 1/2 activation and BCL-2 expression. Mechanistic studies confirmed the methylation of CpG elements in the eNOS and vascular endothelial growth factor receptor 2 promoter. MBD2 binds to these methylated CpG elements and suppresses eNOS promoter activity. On ischemic insult, key endothelial genes such as eNOS and vascular endothelial growth factor receptor 2 undergo a DNA methylation turnover, and MBD2 interprets the changes of DNA methylation to suppress their expressions. Moreover, MBD2 modulation of eNOS expression is likely confined to endothelial cells because nonendothelial cells such as splenocytes fail to express eNOS after loss of MBD2. Conclusions— We provided direct evidence supporting that DNA methylation regulates endothelial function, which forms the molecular basis for understanding how environmental insults (epigenetic factor) affect the genome to modify disease susceptibility. Because MBD2 itself does not affect the methylation of DNA and is dispensable for normal physiology in mice, it could be a viable epigenetic target for modulating endothelial function in disease states.

Background Despite evidence linking obesity to impaired immune function, little is known about the specific mechanisms. Because of emerging evidence that immune responses are epigenetically regulated, we hypothesized that DNA methylation changes are involved in obesity induced immune dysfunction and aimed to identify these changes. Method We conducted a genome wide methylation analysis on seven obese cases and seven lean controls aged 14 to 18 years from extreme ends of the obesity distribution and performed further validation of six CpG sites from six genes in 46 obese cases and 46 lean controls aged 14 to 30 years. Results In comparison with the lean controls, we observed one CpG site in the UBASH3A gene showing higher methylation levels and one CpG site in the TRIM3 gene showing lower methylation levels in the obese cases in both the genome wide step (P = 5 × 10-6 and P = 2 × 10-5 for the UBASH3A and the TRIM3 gene respectively) and the validation step (P = 0.008 and P = 0.001 for the UBASH3A and the TRIM3 gene respectively). Conclusions Our results provide evidence that obesity is associated with methylation changes in blood leukocyte DNA. Further studies are warranted to determine the causal direction of this relationship as well as whether such methylation changes can lead to immune dysfunction. See commentary: http://www.biomedcentral.com/1741-7015/8/88/abstract