The Androgen Receptor Centric Transcriptional Network in Prostate Cancer

Ph.DDOCTOR OF PHILOSOPH

Artificial intelligence and real-world data for drug and food safety - A regulatory science perspective

In 2013, the Global Coalition for Regulatory Science Research (GCRSR) was established with members from over ten countries (www.gcrsr.net). One of the main objectives of GCRSR is to facilitate communication among global regulators on the rise of new technologies with regulatory applications through the annual conference Global Summit on Regulatory Science (GSRS). The 11th annual GSRS conference (GSRS21) focused on "Regulatory Sciences for Food/Drug Safety with Real-World Data (RWD) and Artificial Intelligence (AI)." The conference discussed current advancements in both AI and RWD approaches with a specific emphasis on how they impact regulatory sciences and how regulatory agencies across the globe are pursuing the adaptation and oversight of these technologies. There were presentations from Brazil, Canada, India, Italy, Japan, Germany, Switzerland, Singapore, the United Kingdom, and the United States. These presentations highlighted how various agencies are moving forward with these technologies by either improving the agencies' operation and/or preparing regulatory mechanisms to approve the products containing these innovations. To increase the content and discussion, the GSRS21 hosted two debate sessions on the question of "Is Regulatory Science Ready for AI?" and a workshop to showcase the analytical data tools that global regulatory agencies have been using and/or plan to apply to regulatory science. Several key topics were highlighted and discussed during the conference, such as the capabilities of AI and RWD to assist regulatory science policies for drug and food safety, the readiness of AI and data science to provide solutions for regulatory science. Discussions highlighted the need for a constant effort to evaluate emerging technologies for fit-for-purpose regulatory applications. The annual GSRS conferences offer a unique platform to facilitate discussion and collaboration across regulatory agencies, modernizing regulatory approaches, and harmonizing efforts

Enhanced triacylglycerol catabolism by carboxylesterase 1 promotes aggressive colorectal carcinoma

The ability to adapt to low-nutrient microenvironments is essential for tumor cell survival and progression in solid cancers, such as colorectal carcinoma (CRC). Signaling by the NF-κB transcription factor pathway associates with advanced disease stages and shorter survival in patients with CRC. NF-κB has been shown to drive tumor-promoting inflammation, cancer cell survival, and intestinal epithelial cell (IEC) dedifferentiation in mouse models of CRC. However, whether NF-κB affects the metabolic adaptations that fuel aggressive disease in patients with CRC is unknown. Here, we identified carboxylesterase 1 (CES1) as an essential NF-κB–regulated lipase linking obesity-associated inflammation with fat metabolism and adaptation to energy stress in aggressive CRC. CES1 promoted CRC cell survival via cell-autonomous mechanisms that fuel fatty acid oxidation (FAO) and prevent the toxic build-up of triacylglycerols. We found that elevated CES1 expression correlated with worse outcomes in overweight patients with CRC. Accordingly, NF-κB drove CES1 expression in CRC consensus molecular subtype 4 (CMS4), which is associated with obesity, stemness, and inflammation. CES1 was also upregulated by gene amplifications of its transcriptional regulator HNF4A in CMS2 tumors, reinforcing its clinical relevance as a driver of CRC. This subtype-based distribution and unfavorable prognostic correlation distinguished CES1 from other intracellular triacylglycerol lipases and suggest CES1 could provide a route to treat aggressive CRC

Sequencing the transcriptional network of androgen receptor in prostate cancer

The progression of prostate cancer is largely dependent on the activity of the androgen receptor (AR), which in turn, correlates with the net output of the AR transcriptional regulatory network. A detailed and thorough understanding of the AR transcriptional regulatory network is therefore critical in the strategic manipulation of AR activity for the targeted eradication of prostate cancer cells. In this mini-review, we highlight some of the novel and unexpected mechanistic and functional insights of the AR transcriptional network derived from recent targeted sequencing (ChIP–Seq) studies of AR and its coregulatory factors in prostate cancer cells.ASTAR (Agency for Sci., Tech. and Research, S’pore

Genomic Characterization of <i>Dehalococcoides mccartyi</i> Strain JNA That Reductively Dechlorinates Tetrachloroethene and Polychlorinated Biphenyls

<i>Dehalococcoides mccartyi</i> strain JNA detoxifies highly chlorinated polychlorinated biphenyl (PCB) mixtures via 85 distinct dechlorination reactions, suggesting that it has great potential for PCB bioremediation. However, its genomic and functional gene information remain unknown due to extremely slow growth of strain JNA with PCBs. In this study, we used tetracholorethene (PCE) as an alternative electron acceptor to grow sufficient biomass of strain JNA for subsequent genome sequencing and functional gene identification. Analysis of the assembled draft genome (1 462 509 bp) revealed the presence of 29 putative reductive dehalogenase (RDase) genes. Among them, JNA_RD8 and JNA_RD11 genes were highly transcribed in both PCE- and PCB-fed cultures. Furthermore, in vitro assays with crude cell lysate from PCE grown cells revealed dechlorination activity against both PCE and 2,2′,3,4,4′,5,5′-heptachlorobiphenyl. These data suggest that both JNA_RD8 and JNA_RD11 may be bifunctional PCE/PCB RDases. This study deepens the knowledge of organohalide respiration of PCBs and facilitates in situ PCB-bioremediation with strain JNA

A transcriptional repressor co-regulatory network governing androgen response in prostate cancers

Transcriptional corepressors are frequently aberrantly over-expressed in prostate cancers. However, their crosstalk with the Androgen receptor (AR), a key player in prostate cancer development, is unclear. Using ChIP-Seq, we generated extensive global binding maps of AR, ERG, and commonly over-expressed transcriptional corepressors including HDAC1, HDAC2, HDAC3, and EZH2 in prostate cancer cells. Surprisingly, our results revealed that ERG, HDACs, and EZH2 are directly involved in androgen-regulated transcription and wired into an AR centric transcriptional network via a spectrum of distal enhancers and/or proximal promoters. Moreover, we showed that similar to ERG, these corepressors function to mediate repression of AR-induced transcription including cytoskeletal genes that promote epithelial differentiation and inhibit metastasis. Specifically, we demonstrated that the direct suppression of Vinculin expression by ERG, EZH2, and HDACs leads to enhanced invasiveness of prostate cancer cells. Taken together, our results highlight a novel mechanism by which, ERG working together with oncogenic corepressors including HDACs and the polycomb protein, EZH2, could impede epithelial differentiation and contribute to prostate cancer progression, through directly modulating the transcriptional output of AR

BEEM-Static: Accurate inference of ecological interactions from cross-sectional microbiome data

10.1371/journal.pcbi.1009343PLoS Computational Biology179e100934

Patient-specific driver gene prediction and risk assessment through integrated network analysis of cancer omics profiles.

Extensive and multi-dimensional data sets generated from recent cancer omics profiling projects have presented new challenges and opportunities for unraveling the complexity of cancer genome landscapes. In particular, distinguishing the unique complement of genes that drive tumorigenesis in each patient from a sea of passenger mutations is necessary for translating the full benefit of cancer genome sequencing into the clinic. We address this need by presenting a data integration framework (OncoIMPACT) to nominate patient-specific driver genes based on their phenotypic impact. Extensive in silico and in vitro validation helped establish OncoIMPACT\u27s robustness, improved precision over competing approaches and verifiable patient and cell line specific predictions (2/2 and 6/7 true positives and negatives, respectively). In particular, we computationally predicted and experimentally validated the gene TRIM24 as a putative novel amplified driver in a melanoma patient. Applying OncoIMPACT to more than 1000 tumor samples, we generated patient-specific driver gene lists in five different cancer types to identify modes of synergistic action. We also provide the first demonstration that computationally derived driver mutation signatures can be overall superior to single gene and gene expression based signatures in enabling patient stratification and prognostication. Source code and executables for OncoIMPACT are freely available from http://sourceforge.net/projects/oncoimpact. Nucleic Acids Res 2015 Apr 20; 43(7):e44

Development of reconstructed intestinal micronucleus cytome (RICyt) assay in 3D human gut model for genotoxicity assessment of orally ingested substances

The micronucleus (MN) assay is widely used as part of a battery of tests applied to evaluate the genotoxic potential of chemicals, including new food additives and novel food ingredients. Micronucleus assays typically utilise homogenous in vitro cell lines which poorly recapitulate the physiology, biochemistry and genomic events in the gut, the site of first contact for ingested materials. Here we have adapted and validated the MN endpoint assay protocol for use with complex 3D reconstructed intestinal microtissues; we have named this new protocol the reconstructed intestine micronucleus cytome (RICyt) assay. Our data suggest the commercial 3D microtissues replicate the physiological, biochemical and genomic responses of native human small intestine to exogenous compounds. Tissues were shown to maintain log-phase proliferation throughout the period of exposure and expressed low background MN. Analysis using the RICyt assay protocol revealed the presence of diverse cell types and nuclear anomalies (cytome) in addition to MN, indicating evidence for comprehensive DNA damage and mode(s) of cell death reported by the assay. The assay correctly identified and discriminated direct-acting clastogen, aneugen and clastogen requiring exogenous metabolic activation, and a non-genotoxic chemical. We are confident that the genotoxic response in the 3D microtissues more closely resembles the native tissues due to the inherent tissue architecture, surface area, barrier effects and tissue matrix interactions. This proof-of-concept study highlights the RICyt MN cytome assay in 3D reconstructed intestinal microtissues is a promising tool for applications in predictive toxicology.Agency for Science, Technology and Research (A*STAR)National Research Foundation (NRF)Published versionThis study is supported by Industry Alignment Fund (Pre-Positioning) (IAF-PP-H18/01/a0/G14), Biomedical Research Council (BMRC, A*STAR). BPC Smith was also supported by a National Research Foundation Singapore Whitespace Grant (W20W3D0002) administered by A*STAR