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Featured researches published by G Nguyen.


Molecular Systems Biology | 2008

p53‐repressed miRNAs are involved with E2F in a feed‐forward loop promoting proliferation

Ran Brosh; Reut Shalgi; Atar Liran; Gilad Landan; Katya Korotayev; G Nguyen; Espen Enerly; Hilde Johnsen; Yosef Buganim; Hilla Solomon; Ido Goldstein; Shalom Madar; Naomi Goldfinger; Anne Lise Børresen-Dale; Doron Ginsberg; Curtis C. Harris; Yitzhak Pilpel; Moshe Oren; Varda Rotter

Normal cell growth is governed by a complicated biological system, featuring multiple levels of control, often deregulated in cancers. The role of microRNAs (miRNAs) in the control of gene expression is now increasingly appreciated, yet their involvement in controlling cell proliferation is still not well understood. Here we investigated the mammalian cell proliferation control network consisting of transcriptional regulators, E2F and p53, their targets and a family of 15 miRNAs. Indicative of their significance, expression of these miRNAs is downregulated in senescent cells and in breast cancers harboring wild‐type p53. These miRNAs are repressed by p53 in an E2F1‐mediated manner. Furthermore, we show that these miRNAs silence antiproliferative genes, which themselves are E2F1 targets. Thus, miRNAs and transcriptional regulators appear to cooperate in the framework of a multi‐gene transcriptional and post‐transcriptional feed‐forward loop. Finally, we show that, similarly to p53 inactivation, overexpression of representative miRNAs promotes proliferation and delays senescence, manifesting the detrimental phenotypic consequence of perturbations in this circuit. Taken together, these findings position miRNAs as novel key players in the mammalian cellular proliferation network.


Clinical Cancer Research | 2009

Association of Inflammation-Related and microRNA Gene Expression with Cancer-Specific Mortality of Colon Adenocarcinoma

Aaron J. Schetter; G Nguyen; Elise D. Bowman; Ewy Mathe; Siu Tsan Yuen; Jason E. Hawkes; Carlo M. Croce; Suet Yi Leung; Curtis C. Harris

Purpose: Inflammatory genes and microRNAs have roles in colon carcinogenesis; therefore, they may provide useful biomarkers for colon cancer. This study examines the potential clinical utility of an inflammatory gene expression signature as a prognostic biomarker for colon cancer in addition to previously examined miR-21 expression. Experimental Design: Quantitative reverse transcriptase-PCR. was used to measure the expression of 23 inflammatory genes in colon adenocarcinomas and adjacent noncancerous tissues from 196 patients. These data were used to develop models for cancer-specific mortality on a training cohort (n = 57), and this model was tested in both a test (n = 56) and a validation (n = 83) cohort. Expression data for miR-21 were available for these patients and were compared and combined with inflammatory gene expression. Results: PRG1, IL-10, CD68, IL-23a, and IL-12a expression in noncancerous tissue, and PRG1, ANXA1, IL-23a, IL-17a, FOXP3, and HLA-DRA expression in tumor tissues were associated with poor prognosis based on Cox regression (|Z-score| >1.5) and were used to generate the inflammatory risk score (IRS). IRS was associated with cancer-specific mortality in the training, test (P = 0.01), and validation (P = 0.02) cohorts. This association was strong for stage II cases (P = 0.002). Expression of miR-21 was associated with IL-6, IL-8, IL-10, IL-12a, and NOS2a, providing evidence that the function of this microRNA and these inflammatory genes are linked. Both IRS and miR-21 expression were independently associated with cancer-specific mortality, including stage II patients alone. Conclusion: IRS and miR-21 expression are independent predictors of colon cancer prognosis and may provide a clinically useful tool to identify high-risk patients. (Clin Cancer Res 2009;15(18):5878–87)


Cancer Research | 2008

Nitric Oxide Is a Key Component in Inflammation-Accelerated Tumorigenesis

S. Perwez Hussain; Peijun He; Jeffery Subleski; Lorne J. Hofseth; Glenwood E. Trivers; Leah E. Mechanic; Anne B. Hofseth; Mark E. Bernard; Jonathan Schwank; G Nguyen; Ewy Mathe; Draginja Djurickovic; Diana C. Haines; Jonathan M. Weiss; Timothy C. Back; Eilene Gruys; Victor E. Laubach; Robert H. Wiltrout; Curtis C. Harris

Nitric oxide (NO(*)), an important signaling molecule and a component of inflammatory response, is involved in tumorigenesis. However, the quantity of NO(*) and the cellular microenvironment influences the role of NO(*) in tumor development. We used a genetic strategy to test the hypothesis that an inflammatory microenvironment with an enhanced level of NO(*) accelerates spontaneous tumor development. C. parvum-induced inflammation and increased NO(*) synthase-2 (NOS2) expression coincided with accelerated spontaneous tumor development, mostly lymphomas, in p53-/-NOS2+/+ C57BL6 mice when compared with the controls (P = 0.001). However, p53-/-NOS2-/- mice did not show any difference in tumor latency between C. parvum-treated and control groups. In C. parvum-treated p53-/-NOS2+/+ mice, tumor development was preceded by a higher expression of NOS2 and phosphorylated Akt-Ser(473) (pAkt-Ser473) in spleen, increased cell proliferation measured by Ki-67 IHC in spleen and thymus, and a lower apoptotic index and CD95-L expression in spleen and thymus. C. parvum-treated p53-/-NOS2+/+ mice showed an increase in the number of Foxp3(+) T-reg cells, dendritic cells (DC), as well as increased CD80(+), CD86(+), CD40(+), and CD83(+) on DC in the spleen. Regulatory T-cells (T-reg) and the maturation of DC may modulate tumorigenesis. An increase in the FoxP3(+)T-reg cells in C. parvum-treated p53-/-NOS2+/+ mice indicates a role of NO(*) in the regulation of T-reg cells that may contribute to a protumor shift of the immune environment favoring an accelerated tumor development. These data provide genetic and mechanistic evidence that an inflammatory microenvironment and an increased level of NO(*) can accelerate tumor development.


Chemistry & Biology | 2013

A small molecule inhibitor of the BLM helicase modulates chromosome stability in human cells

G Nguyen; Thomas S. Dexheimer; Andrew S. Rosenthal; Wai Kit Chu; Dharmendra Kumar Singh; Georgina Mosedale; Csanád Z. Bachrati; Lena Schultz; Masaaki Sakurai; P. Savitsky; Mika Abu; Peter J. McHugh; Vilhelm A. Bohr; Curtis C. Harris; Ajit Jadhav; O. Gileadi; David J. Maloney; Anton Simeonov; Ian D. Hickson

The Blooms syndrome protein, BLM, is a member of the conserved RecQ helicase family. Although cell lines lacking BLM exist, these exhibit progressive genomic instability that makes distinguishing primary from secondary effects of BLM loss problematic. In order to be able to acutely disable BLM function in cells, we undertook a high throughput screen of a chemical compound library for small molecule inhibitors of BLM. We present ML216, a potent inhibitor of the DNA unwinding activity of BLM. ML216 shows cell-based activity and can induce sister chromatid exchanges, enhance the toxicity of aphidicolin, and exert antiproliferative activity in cells expressing BLM, but not those lacking BLM. These data indicate that ML216 shows strong selectivity for BLM in cultured cells. We discuss the potential utility of such a BLM-targeting compound as an anticancer agent.


Proceedings of the National Academy of Sciences of the United States of America | 2014

Regulation of gene expression by the BLM helicase correlates with the presence of G-quadruplex DNA motifs.

G Nguyen; Weiliang Tang; Ana I. Robles; Richard P. Beyer; Lucas T. Gray; Judith A. Welsh; Aaron J. Schetter; Kensuke Kumamoto; Xin Wei Wang; Ian D. Hickson; Nancy Maizels; Raymond J. Monnat; Curtis C. Harris

Significance Bloom syndrome is a rare human genetic disease characterized by proportional dwarfism, immunodeficiency, and an elevated risk of many different cancer types. We used RNA expression profiling to identify networks of mRNAs and microRNAs that are differentially expressed in cells from Bloom syndrome patients and associated with cell proliferation, survival, and molecular pathways promoting cancer. Altered mRNA expression was in some cases strongly correlated with the presence of G4 motifs, which may form G-quadruplex targets that are bound by BLM. Further analysis of the genetic networks we identified may elucidate mechanisms responsible for Bloom syndrome disease pathogenesis and ways to ameliorate or prevent disease in affected individuals. Bloom syndrome is a rare autosomal recessive disorder characterized by genetic instability and cancer predisposition, and caused by mutations in the gene encoding the Bloom syndrome, RecQ helicase-like (BLM) protein. To determine whether altered gene expression might be responsible for pathological features of Bloom syndrome, we analyzed mRNA and microRNA (miRNA) expression in fibroblasts from individuals with Bloom syndrome and in BLM-depleted control fibroblasts. We identified mRNA and miRNA expression differences in Bloom syndrome patient and BLM-depleted cells. Differentially expressed mRNAs are connected with cell proliferation, survival, and molecular mechanisms of cancer, and differentially expressed miRNAs target genes involved in cancer and in immune function. These and additional altered functions or pathways may contribute to the proportional dwarfism, elevated cancer risk, immune dysfunction, and other features observed in Bloom syndrome individuals. BLM binds to G-quadruplex (G4) DNA, and G4 motifs were enriched at transcription start sites (TSS) and especially within first introns (false discovery rate ≤ 0.001) of differentially expressed mRNAs in Bloom syndrome compared with normal cells, suggesting that G-quadruplex structures formed at these motifs are physiologic targets for BLM. These results identify a network of mRNAs and miRNAs that may drive the pathogenesis of Bloom syndrome.


Clinical Cancer Research | 2010

Inflammatory and MicroRNA Gene Expression as Prognostic Classifier of Barrett's-Associated Esophageal Adenocarcinoma

G Nguyen; Aaron J. Schetter; David B. Chou; Elise D. Bowman; Ronghua Zhao; Jason E. Hawkes; Ewy Mathe; Kensuke Kumamoto; Yiqiang Zhao; Anuradha Budhu; Nobutoshi Hagiwara; Xin Wei Wang; Masao Miyashita; Alan G. Casson; Curtis C. Harris

Purpose: Esophageal cancer is one of the most aggressive and deadly forms of cancer; highlighting the need to identify biomarkers for early detection and prognostic classification. Our recent studies have identified inflammatory gene and microRNA signatures derived from tumor and nontumor tissues as prognostic biomarkers of hepatocellular, lung, and colorectal adenocarcinoma. Here, we examine the relationship between expression of these inflammatory genes and micro RNA (miRNA) expression in esophageal adenocarcinoma and patient survival. Experimental Design: We measured the expression of 23 inflammation-associated genes in tumors and adjacent normal tissues from 93 patients (58 Barretts and 35 Sporadic adenocarcinomas) by quantitative reverse transcription-polymerase chain reaction. These data were used to build an inflammatory risk model, based on multivariate Cox regression, to predict survival in a training cohort (n = 47). We then determined whether this model could predict survival in a cohort of 46 patients. Expression data for miRNA-375 were available for these patients and was combined with inflammatory gene expression. Results: IFN-γ, IL-1α, IL-8, IL-21, IL-23, and proteoglycan expression in tumor and nontumor samples were each associated with poor prognosis based on Cox regression [(Z-score)>1.5] and therefore were used to generate an inflammatory risk score (IRS). Patients with a high IRS had poor prognosis compared with those with a low IRS in the training (P = 0.002) and test (P = 0.012) cohorts. This association was stronger in the group with Barretts history. When combining with miRNA-375, the combined IRS/miR signature was an improved prognostic classifier than either one alone. Conclusion: Transcriptional profiling of inflammation-associated genes and miRNA expression in resected esophageal Barretts-associated adenocarcinoma tissues may have clinical utility as predictors of prognosis. Clin Cancer Res; 16(23); 5824–34. ©2010 AACR.


Cancer Research | 2011

Targeted Therapeutic Remodeling of the Tumor Microenvironment Improves an HER-2 DNA Vaccine and Prevents Recurrence in a Murine Breast Cancer Model

Debbie Liao; Ze Liu; Wolfgang Wrasidlo; Yunping Luo; G Nguyen; Tingmei Chen; Rong Xiang; Ralph A. Reisfeld

The tumor microenvironment (TME) mediates immunosuppression resulting in tumor cell escape from immune surveillance and cancer vaccine failure. Immunosuppression is mediated by the STAT-3 transcription factor, which potentiates signaling in tumor and immune cells. Because immunosuppression continues to be a major inhibitor of cancer vaccine efficacy, we examined in this study whether therapeutically targeted delivery of a synthetic STAT-3 inhibitor to the TME, combined with an HER-2 DNA vaccine can improve immune surveillance against HER-2(+) breast cancer and prevent its recurrence. To this end, we developed a novel ligand-targeted nanoparticle (NP) encapsulating a CDDO-Im payload capable of specific delivery to the TME, which showed an effective therapeutic inhibition of STAT-3 activation in primary tumors. Furthermore, we showed that treatment with these NPs resulted in priming of the immune TME, characterized by increased IFN-γ, p-STAT-1, GM-CSF, IL-2, IL-15, and IL-12b and reduced TGF-β, IL-6, and IL-10 protein expression. In addition, we found significantly increased tumor infiltration by activated CD8(+) T cells, M1 macrophages, and dendritic cells. These changes correlated with delayed growth of orthotopic 4TO7 breast tumors and, when combined with an HER-2 DNA vaccine, prevented HER-2(+) primary tumor recurrence in immunocompetent mice. Furthermore, antitumor T-cell responses were enhanced in splenocytes isolated from mice treated with this combination therapy. Together, these data show effective protection from cancer recurrence through improved immune surveillance against a tumor-specific antigen.


International Journal of Cancer | 2013

microRNA and inflammatory gene expression as prognostic marker for overall survival in esophageal squamous cell carcinoma

Yiqiang Zhao; Aaron J. Schetter; Geoffrey B. Yang; G Nguyen; Ewy Mathe; Peng Li; Hong Cai; Lei Yu; Fangfang Liu; Dong Hang; Haijun Yang; Xin Wei Wang; Yang Ke; Curtis C. Harris

MicroRNAs (miRNAs) and inflammatory genes have a role in the initiation and development of esophageal squamous cell carcinoma (ESCC). In our study, we examined the potential of using miRNA and inflammatory gene expression patterns as prognostic classifiers for ESCC. Five miRNAs and 25 inflammatory‐related genes were measured by quantitative reverse transcriptase PCR in tumor tissues and adjacent noncancerous tissues from 178 Chinese patients with ESCC. The expression levels of miR‐21 (p = 0.027), miR‐181b (p = 0.002) and miR‐146b (p = 0.021) in tumor tissue and miR‐21 (p = 0.003) in noncancerous tissue were associated with overall survival of patients. These data were combined to generate a miRNA risk score that was significantly associated with worse prognosis (p = 0.0001), suggesting that these miRNAs may be useful prognostic classifiers for ESCC. To construct an inflammatory gene prognostic classifier, we divided the population into training (n = 124) and test cohorts (n = 54). The expression levels of CRY61, CTGF and IL‐18 in tumor tissue and VEGF in adjacent noncancerous tissue were modestly associated with prognosis in the training cohort |Z‐score| > 1.5 and were subsequently used to construct a Cox regression‐based inflammatory risk score (IRS). IRS was significantly associated with survival in both the training cohort (p = 0.002) and the test cohort (p = 0.005). Furthermore, Cox regression models combining both miRNA risk score and IRS performed significantly better than models with either alone (p < 0.001 likelihood ratio test). Therefore, miRNA and inflammatory gene expression patterns, alone or in combination, have potential as prognostic classifiers for ESCC and may help to guide therapeutic decisions.


International Journal of Cancer | 2012

Inflammation regulates microRNA expression in cooperation with p53 and nitric oxide

Ewy Mathe; G Nguyen; Naotake Funamizu; Peijun He; Matthew Moake; Carlo M. Croce; S. Perwez Hussain

microRNA (miRNA) are small non‐coding RNA targeting mRNAs leading to their instability and diminished translation. Altered expression of miRNA is associated with cancer. Inflammation and nitric oxide modulates the development of lymphomas in p53 knockout mice and there exists a negative feedback loop between p53 and NOS2. Using a genetic strategy, we tested the hypothesis that inflammation‐induced oxidative and nitrosative stress modulates miRNA expression in mouse model deficient in either p53 or NOS2. Mice treated with Corynebacterium parvum (C. parvum), to induce inflammation, clearly separated from controls by their miRNA profiles in wild‐type, p53‐ and NOS2‐knockout genetic backgrounds. C. parvum‐induced inflammation significantly (p < 0.005) increased miR‐21, miR‐29b and miR‐34a/b/c and decreased (p < 0.005) mir‐29c and mir‐181a/c expression in the spleen of C57BL mice. However, p53‐knockout C57BL mice did not show a significant increase in the mir‐34b/c or a decrease in mir‐29c expression following C. parvum‐induced inflammation. Expression of mir‐21, mir‐29b and mir‐181a was independent of p53‐status. NOS2‐knockout C57BL mice showed a significant increase in miR‐21 and miR‐34a/b/c and decrease in miR‐181a similar to the wild‐type (WT) mice following C. parvum‐induced inflammation. However, in contrast to the WT mice, miR‐29b/c expression was not affected following C. parvum‐induced inflammation in NOS2 knockout mice. N‐acetyl cysteine, an anti‐oxidant, reduced the expression of miR‐21 and miR‐29b in C. parvum‐treated WT mice (p < 0.005) as compared with control C. parvum‐treated mice. These data are consistent with the hypothesis that inflammation modulates miRNA expression in vivo and the alteration in specific miRNA under an inflammatory microenvironment, can be influenced by p53 (miR‐34b/c) and NO• (29b/c).


PLOS ONE | 2015

Increased MicroRNA-34b and -34c Predominantly Expressed in Stromal Tissues Is Associated with Poor Prognosis in Human Colon Cancer

Yukiharu Hiyoshi; Aaron J. Schetter; Hirokazu Okayama; Kentaro Inamura; Katsuhiro Anami; G Nguyen; Izumi Horikawa; Jason E. Hawkes; Elise D. Bowman; Suet Yi Leung; Curtis C. Harris

The microRNA-34 family (miR-34a, -34b and -34c) have been reported to be tumor suppressor microRNAs (miRNAs) that are regulated by the TP53 and DNA hypermethylation. However, the expression, regulation, and prognostic value of the miR-34 family have not been systematically studied in colon cancer. To elucidate the roles of miR-34 family in colon carcinogenesis, miR-34a/b/c were measured in tumors and adjacent noncancerous tissues from 159 American and 113 Chinese colon cancer patients using quantitative RT-PCR, and we examined associations between miR-34a/b/c expression with TNM staging, cancer-specific mortality, TP53 mutation status and Affymetrix microarray data. All miR-34 family members were significantly increased in colon tumors, counter to the proposed tumor suppressor role for these miRNAs. Increased miR-34b/c were observed in more advanced tumors in two independent cohorts and increased expression of miR-34b/c was associated with poor cancer-specific mortality. While the expression of miR-34 family was not associated with TP53 mutation status, TP53 transcriptional activity was associated with miR-34a/b/c expression that is consistent with the proposed regulation of miR-34a/b/c by TP53. To examine where the miR-34 family is expressed, the expression of miR-34 family was compared between epitheliums and stromal tissues using laser microdissection technique. The expression of miR-34b/c was increased significantly in stromal tissues, especially in cancer stroma, compared with epithelial tissue. In conclusion, increased miR-34b/c predominantly expressed in stromal tissues is associated with poor prognosis in colon cancer. MiR-34 may contribute to cancer-stromal interaction associated with colon cancer progression.

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Ian D. Hickson

University of Copenhagen

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Ajit Jadhav

University of California

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Anton Simeonov

National Institutes of Health

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Thomas S. Dexheimer

National Institutes of Health

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Alessandro Vindigni

International Centre for Genetic Engineering and Biotechnology

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Curtis C. Harris

National Institutes of Health

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Aaron J. Schetter

National Institutes of Health

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Elise D. Bowman

National Institutes of Health

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