Jesse D. Riordan

MicroRNA-494 within an oncogenic microRNA megacluster regulates G1/S transition in liver tumorigenesis through suppression of mutated in colorectal cancer.

Hepatocellular carcinoma (HCC) is associated with poor survival for patients and few effective treatment options, raising the need for novel therapeutic strategies. MicroRNAs (miRNAs) play important roles in tumor development and show deregulated patterns of expression in HCC. Because of the livers unique affinity for small nucleic acids, miRNA‐based therapy has been proposed in the treatment of liver disease. Thus, there is an urgent need to identify and characterize aberrantly expressed miRNAs in HCC. In our study, we profiled miRNA expression changes in de novo liver tumors driven by MYC and/or RAS, two canonical oncogenes activated in a majority of human HCCs. We identified an up‐regulated miRNA megacluster comprised of 53 miRNAs on mouse chromosome 12qF1 (human homolog 14q32). This miRNA megacluster is up‐regulated in all three transgenic liver models and in a subset of human HCCs. An unbiased functional analysis of all miRNAs within this cluster was performed. We found that miR‐494 is overexpressed in human HCC and aids in transformation by regulating the G1/S cell cycle transition through targeting of the Mutated in Colorectal Cancer tumor suppressor. miR‐494 inhibition in human HCC cell lines decreases cellular transformation, and anti‐miR‐494 treatment of primary MYC‐driven liver tumor formation significantly diminishes tumor size. Conclusion: Our findings identify a new therapeutic target (miR‐494) for the treatment of HCC. (Hepatology 2014;58:202–215)

Identification of Rtl1 , a Retrotransposon-Derived Imprinted Gene, as a Novel Driver of Hepatocarcinogenesis

We previously utilized a Sleeping Beauty (SB) transposon mutagenesis screen to discover novel drivers of HCC. This approach identified recurrent mutations within the Dlk1-Dio3 imprinted domain, indicating that alteration of one or more elements within the domain provides a selective advantage to cells during the process of hepatocarcinogenesis. For the current study, we performed transcriptome and small RNA sequencing to profile gene expression in SB–induced HCCs in an attempt to clarify the genetic element(s) contributing to tumorigenesis. We identified strong induction of Retrotransposon-like 1 (Rtl1) expression as the only consistent alteration detected in all SB–induced tumors with Dlk1-Dio3 integrations, suggesting that Rtl1 activation serves as a driver of HCC. While previous studies have identified correlations between disrupted expression of multiple Dlk1-Dio3 domain members and HCC, we show here that direct modulation of a single domain member, Rtl1, can promote hepatocarcinogenesis in vivo. Overexpression of Rtl1 in the livers of adult mice using a hydrodynamic gene delivery technique resulted in highly penetrant (86%) tumor formation. Additionally, we detected overexpression of RTL1 in 30% of analyzed human HCC samples, indicating the potential relevance of this locus as a therapeutic target for patients. The Rtl1 locus is evolutionarily derived from the domestication of a retrotransposon. In addition to identifying Rtl1 as a novel driver of HCC, our study represents one of the first direct in vivo demonstrations of a role for such a co-opted genetic element in promoting carcinogenesis.

Sex bias occurrence of hepatocellular carcinoma in Poly7 molecular subclass is associated with EGFR

Hepatocellular carcinoma (HCC) is one of the deadliest solid cancers and is the third leading cause of cancer‐related death. There is a universal estimated male/female ratio of 2.5, but the reason for this is not well understood. The Sleeping Beauty (SB) transposon system was used to elucidate candidate oncogenic drivers of HCC in a forward genetics screening approach. Sex bias occurrence was conserved in our model, with male experimental mice developing liver tumors at reduced latency and higher tumor penetrance. In parallel, we explored sex differences regarding genomic aberrations in 235 HCC patients. Liver cancer candidate genes were identified from both sexes and genotypes. Interestingly, transposon insertions in the epidermal growth factor receptor (Egfr) gene were common in SB‐induced liver tumors from male mice (10/10, 100%) but infrequent in female mice (2/9, 22%). Human single‐nucleotide polymorphism data confirmed that polysomy of chromosome 7, locus of EGFR, was more frequent in males (26/62, 41%) than females (2/27, 7%) (P = 0.001). Gene expression–based Poly7 subclass patients were predominantly male (9/9) compared with 67% males (55/82) in other HCC subclasses (P = 0.02), and this subclass was accompanied by EGFR overexpression (P < 0.001). Conclusion: Sex bias occurrence of HCC associated with EGFR was confirmed in experimental animals using the SB transposon system in a reverse genetic approach. This study provides evidence for the role of EGFR in sex bias occurrences of liver cancer and as the driver mutational gene in the Poly7 molecular subclass of human HCC. (HEPATOLOGY 2013)

The Stress-Regulated Transcription Factor CHOP Promotes Hepatic Inflammatory Gene Expression, Fibrosis, and Oncogenesis

Viral hepatitis, obesity, and alcoholism all represent major risk factors for hepatocellular carcinoma (HCC). Although these conditions also lead to integrated stress response (ISR) or unfolded protein response (UPR) activation, the extent to which these stress pathways influence the pathogenesis of HCC has not been tested. Here we provide multiple lines of evidence demonstrating that the ISR-regulated transcription factor CHOP promotes liver cancer. We show that CHOP expression is up-regulated in liver tumors in human HCC and two mouse models thereof. Chop-null mice are resistant to chemical hepatocarcinogenesis, and these mice exhibit attenuation of both apoptosis and cellular proliferation. Chop-null mice are also resistant to fibrosis, which is a key risk factor for HCC. Global gene expression profiling suggests that deletion of CHOP reduces the levels of basal inflammatory signaling in the liver. Our results are consistent with a model whereby CHOP contributes to hepatic carcinogenesis by promoting inflammation, fibrosis, cell death, and compensatory proliferation. They implicate CHOP as a common contributing factor in the development of HCC in a variety of chronic liver diseases.

Modeling progressive non-alcoholic fatty liver disease in the laboratory mouse

Non-alcoholic fatty liver disease (NAFLD) is the most common liver disease in the world and its prevalence is rising. In the absence of disease progression, fatty liver poses minimal risk of detrimental health outcomes. However, advancement to non-alcoholic steatohepatitis (NASH) confers a markedly increased likelihood of developing severe liver pathologies, including fibrosis, cirrhosis, organ failure, and cancer. Although a substantial percentage of NAFLD patients develop NASH, the genetic and molecular mechanisms driving this progression are poorly understood, making it difficult to predict which patients will ultimately develop advanced liver disease. Deficiencies in mechanistic understanding preclude the identification of beneficial prognostic indicators and the development of effective therapies. Mouse models of progressive NAFLD serve as a complementary approach to the direct analysis of human patients. By providing an easily manipulated experimental system that can be rigorously controlled, they facilitate an improved understanding of disease development and progression. In this review, we discuss genetically- and chemically-induced models of NAFLD that progress to NASH, fibrosis, and liver cancer in the context of the major signaling pathways whose disruption has been implicated as a driving force for their development. Additionally, an overview of nutritional models of progressive NAFLD is provided.

A Sleeping Beauty screen reveals NF-kB activation in CLL mouse model.

TCL1 oncogene is overexpressed in aggressive form of human chronic lymphocytic leukemia (CLL) and its dysregulation in mouse B cells causes a CD5-positive leukemia similar to the aggressive form of human CLLs. To identify oncogenes that cooperate with Tcl1, we performed genetic screen in Eμ-TCL1 mice using Sleeping Beauty transposon-mediated mutagenesis. Analysis of transposon common insertion sites identified 7 genes activated by transposon insertions. Overexpression of these genes in mouse CLL was confirmed by real time reverse transcription-polymerase chain reaction. Interestingly, the main known function of 4 of 7 genes (Nfkb1, Tab2, Map3K14, and Nfkbid) is participation in or activation of the nuclear factor-kB (NF-kB) pathway. In addition, activation of the NF-kB is 1 of main functions of Akt2, also identified in the screen. These findings demonstrate cooperation of Tcl1 and the NF-kB pathway in the pathogenesis of aggressive CLL. Identification cooperating cancer genes will result in the development of combinatorial therapies to treat CLL.

RNA sequencing of Sleeping Beauty transposon-induced tumors detects transposon-RNA fusions in forward genetic cancer screens

Forward genetic screens using Sleeping Beauty (SB)-mobilized T2/Onc transposons have been used to identify common insertion sites (CISs) associated with tumor formation. Recurrent sites of transposon insertion are commonly identified using ligation-mediated PCR (LM-PCR). Here, we use RNA sequencing (RNA-seq) data to directly identify transcriptional events mediated by T2/Onc. Surprisingly, the majority (∼80%) of LM-PCR identified junction fragments do not lead to observable changes in RNA transcripts. However, in CIS regions, direct transcriptional effects of transposon insertions are observed. We developed an automated method to systematically identify T2/Onc-genome RNA fusion sequences in RNA-seq data. RNA fusion-based CISs were identified corresponding to both DNA-based CISs (Cdkn2a, Mycl1, Nf2, Pten, Sema6d, and Rere) and additional regions strongly associated with cancer that were not observed by LM-PCR (Myc, Akt1, Pth, Csf1r, Fgfr2, Wisp1, Map3k5, and Map4k3). In addition to calculating recurrent CISs, we also present complementary methods to identify potential driver events via determination of strongly supported fusions and fusions with large transcript level changes in the absence of multitumor recurrence. These methods independently identify CIS regions and also point to cancer-associated genes like Braf. We anticipate RNA-seq analyses of tumors from forward genetic screens will become an efficient tool to identify causal events.

Ectopic expression of Zmiz1 induces cutaneous squamous cell malignancies in a mouse model of cancer.

Cutaneous squamous cell carcinoma (SCC) is the second most common form of cancer in the human population, yet the underlying genetic mechanisms contributing to the disease are not well understood. We recently identified Zmiz1 as a candidate oncogene in non-melanoma skin cancer through a transposon mutagenesis screen. Here we show that transposon-induced mutations in Zmiz1 drive expression of a truncated transcript that is similar to an alternative endogenous ZMIZ1 transcript found to be overexpressed in human SCCs relative to normal skin. We also describe an original mouse model of invasive keratoacanthoma driven by skin-specific expression of the truncated Zmiz1 transcript. Unlike most mouse models, Zmiz1-induced skin tumors develop rapidly and in the absence of promoting agents such as phorbol esters. Additionally, we found that the alternative Zmiz1 isoform has greater protein stability than its full-length counterpart. Finally, we provide evidence that ZMIZ1 is overexpressed in a significant percentage of human breast, ovarian, and colon cancers in addition to human SCCs, suggesting ZMIZ1 may play a broader role in epithelial cancers.

Sequencing methods and datasets to improve functional interpretation of sleeping beauty mutagenesis screens

BackgroundAnimal models of cancer are useful to generate complementary datasets for comparison to human tumor data. Insertional mutagenesis screens, such as those utilizing the Sleeping Beauty (SB) transposon system, provide a model that recapitulates the spontaneous development and progression of human disease. This approach has been widely used to model a variety of cancers in mice. Comprehensive mutation profiles are generated for individual tumors through amplification of transposon insertion sites followed by high-throughput sequencing. Subsequent statistical analyses identify common insertion sites (CISs), which are predicted to be functionally involved in tumorigenesis. Current methods utilized for SB insertion site analysis have some significant limitations. For one, they do not account for transposon footprints – a class of mutation generated following transposon remobilization. Existing methods also discard quantitative sequence data due to uncertainty regarding the extent to which it accurately reflects mutation abundance within a heterogeneous tumor. Additionally, computational analyses generally assume that all potential insertion sites have an equal probability of being detected under non-selective conditions, an assumption without sufficient relevant data. The goal of our study was to address these potential confounding factors in order to enhance functional interpretation of insertion site data from tumors.ResultsWe describe here a novel method to detect footprints generated by transposon remobilization, which revealed minimal evidence of positive selection in tumors. We also present extensive characterization data demonstrating an ability to reproducibly assign semi-quantitative information to individual insertion sites within a tumor sample. Finally, we identify apparent biases for detection of inserted transposons in several genomic regions that may lead to the identification of false positive CISs.ConclusionThe information we provide can be used to refine analyses of data from insertional mutagenesis screens, improving functional interpretation of results and facilitating the identification of genes important in cancer development and progression.

Domesticated transposable element gene products in human cancer

The adaptation of transposable elements inserted within the genome to serve novel functions in a host cell, a process known as molecular domestication, is a widespread phenomenon in nature. Around fifty protein-coding genes in humans have arisen through this mechanism. Functional characterization of these domesticated genes has revealed involvement in a multitude of diverse cellular processes. Some of these functions are related to cellular activities and pathways known to be involved in cancer development. In this mini-review we discuss such roles of domesticated genes that may be aberrantly regulated in human cancer, as well as studies that have identified disrupted expression in tumors. We also describe studies that have provided definitive experimental evidence for transposable element-derived gene products in promoting tumorigenesis.