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Guan Y.,Shenyang University | Yao H.,Signal Sciences | Zheng Z.,Shenyang University | Qiu G.,Shenyang University | Sun K.,Shenyang University
International Journal of Cancer | Year: 2011

Micro-RNAs (miRNAs) important for post-transcriptional gene expression as negative regulators are endogenous 21- to 23-nucleotide noncoding RNAs. Many miRNAs are expressed in ovarian cancer (OC). In this study, we reported that miR-125b was underexpressed in human OC specimens. Ectopic expression of miR-125b in OC cells induced cell cycle arrest and led to reduction in proliferation and clonal formation. This inhibitory effect on OC cell growth was mediated by miR-125b inhibition of the translation of an mRNA encoding a proto-oncogene, BCL3. Furthermore, expression of miR-125b suppressed the tumor formation generated by injecting OC cells in nude mice. Our results suggest that aberrantly expressed miR-125b may contribute to OC development. Copyright © 2010 UICC.

Meraoumia A.,University of Ouargla | Chitroub S.,Signal Sciences | Bouridane A.,Northumbria University
Integrated Computer-Aided Engineering | Year: 2013

Biometric systems based on a single source of information suffer from limitations such as the lack of uniqueness, non-universality of the chosen biometric trait, noisy data and spoof attacks. Multimodal biometrics are relatively new systems that overcome those problems. These systems fuse information from multiple sources in order to achieve the better person recognition performance. In this paper, the 2D and 3D information of palmprint are integrated in order to construct an efficient multimodal biometric system based on fusion at matching score level and at feature extraction level. The observation vectors are created independently either from the original data of the two modalities (2D and 3D palmprint) or from their rotation invariant variance measures applied on textures. On each modality (or its corresponding invariant texture), we have applied the Principal Component Analysis (PCA) for reducing dimension of the feature vector. We have also used the multi-scale wavelet decomposition for each modality and the results of decomposition are combined and compressed using PCA for selecting the feature vectors. Subsequently, we have used the Hidden Markov Model (HMM) for modeling the feature vectors. Finally, Log-likelihood scores are used for palmprint evaluation. We note that the selected principal components of two modalities are fused at feature level and at matching score level. The proposed scheme is tested and evaluated using PolyU 2D and 3D palmprint database of 250 persons. Our experimental results show the effectiveness and reliability of the proposed system, which brings high identification accuracy rate. © 2013 - IOS Press and the author(s). All rights reserved.

Darvesh A.S.,Northeast Ohio Medical University | Bishayee A.,Signal Sciences
Nutrition and Cancer | Year: 2013

The prophylactic and therapeutic properties of tea have been attributed to green tea catechins and black tea theaflavins besides several other polyphenolic compounds. Tea polyphenols possess potent antioxidant and antiinflammatory properties and modulate several signaling pathways. These biochemical facets of tea polyphenols are responsible for its anticancer properties. Several lethal cancers, such as liver cancer, develop within a background of oxidative stress and inflammation. Liver cancer, also known as hepatocellular carcinoma (HCC), has been shown to occur throughout the world including Asia, Africa, Western Europe, and the United States. Phytochemicals, such as tea polyphenols, provide an effective and promising alternative for the chemoprevention and treatment of HCC. In this article, we systematically review, for the first time, the effects of tea polyphenols in the preclinical in vitro and in vivo HCC models. The review also examines, in critical detail, the biochemical mechanisms involved in the chemopreventive and antineoplastic effects of tea polyphenols in hepatic cancer. Finally, we highlight the role of synergy, bioavailability and pharmacokinetics of tea polyphenols, current status of clinical trials, discuss future directions, and comment on the future challenges involved in the effective use of tea polyphenols for the prevention and management of liver cancer. © 2013 Copyright Taylor and Francis Group, LLC.

Sinha D.,Chittaranjan National Cancer Institute | Biswas J.,Chittaranjan National Cancer Institute | Bishayee A.,Signal Sciences
Archives of Toxicology | Year: 2013

Arsenic is a ubiquitous toxic metalloid whose natural leaching from geogenic resources of earths crust into groundwater has become a dreadful health hazard to millions of people across the globe. Arsenic has been documented as a top most potent human carcinogen by Agency of Toxic Substances and Disease Registry. There have been a number of schools of opinions regarding the underlying mechanism of arsenic-induced carcinogenicity, but the theory of oxidative stress generated by arsenic has gained much importance. Imbalance in the cellular redox state and its associated complications have been closely associated with nuclear factor-erythroid 2-related factor 2 (Nrf2), a basic-leucine zipper transcription factor that activates the antioxidant responsive element and electrophilic responsive element, thereby upregulating the expression of a variety of downstream genes. This review has been framed on the lines of differential molecular responses of Nrf2 on arsenic exposure as well as the chemopreventive strategy which may be improvised to regulate Nrf2 in order to combat arsenic-induced oxidative stress and its long-term carcinogenic effect. © 2012 Springer-Verlag.

Bishayee A.,Signal Sciences
Advances in Experimental Medicine and Biology | Year: 2014

Persistent inflammation is known to promote and exacerbate malignancy. Primary liver cancer, mostly hepatocellular carcinoma (HCC), is a clear example of inflammation-related cancer as more than 90% of HCCs arise in the context of hepatic injury and inflammation. HCC represents the fifth most common malignancy and the third leading cause of cancer-related death worldwide with about one million new cases diagnosed every year with almost an equal number of deaths. Chronic unresolved inflammation is associated with persistent hepatic injury and concurrent regeneration, leading to sequential development of fibrosis, cirrhosis, and eventually HCC. Irrespective of the intrinsic differences among various etiological factors, a common denominator at the origin of HCC is the perpetuation of a wound-healing response activated by parenchymal cell death and the resulting inflammatory cascade. Hence, the identification of fundamental inflammatory signaling pathways causing transition from chronic liver injury to dysplasia and HCC could depict new predictive biomarkers and targets to identify and treat patients with chronic liver inflammation. This chapter critically discusses the roles of several major cytokines, chemokines, growth factors, transcription factors, and enzymes as well as a distinct network of inflammatory signaling pathways in the development and progression of HCC. It also highlights and analyzes preclinical animal studies showing innovative approaches of targeting inflammatory mediators and signaling by a variety of natural compounds and synthetic agents to achieve effective therapy as well as prevention of hepatic malignancy. Additionally, current limitations and potential challenges associated with the inhibition of inflammatory signaling as well as future directions of research to accelerate clinical development of anti-inflammatory agents to prevent and treat liver cancer are presented. © Springer Basel 2014.

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