[Abstract unavailable

Cancer is a highly variable disease with multiple heterogeneous genetic and epigenetic changes. Functional studies are essential to understanding the complexity and polymorphisms of cancer. The final deciphering of the complete human genome, together with the improvement of high throughput technologies, is causing a fundamental transformation in cancer research. Microarray is a new powerful tool for studying the molecular basis of interactions on a scale that is impossible using conventional analysis. This technique makes it possible to examine the expression of thousands of genes simultaneously. This technology promises to lead to improvements in developing rational approaches to therapy as well as to improvements in cancer diagnosis and prognosis, assuring its entry into clinical practice in specialist centers and hospitals within the next few years. Predicting who will develop cancer and how this disease will behave and respond to therapy after diagnosis will be one of the potential benefits of this technology within the next decade. In this review, we highlight some of the recent developments and results in microarray technology in cancer research, discuss potentially problematic areas associated with it, describe the eventual use of microarray technology for clinical applications and comment on future trends and issues.

Medulloblastoma is the most common malignant tumor of central nervous system in children.Patients affected by medulloblastoma may be categorized as high-risk and standard-risk patients, based on the clinical criteria and histologic features of the disease. Currently, multimodality treatment, including surgery, radiotherapy, and chemotherapy is considered as the most effective strategy against these malignant cerebellar tumors of the childhood. Despite the potential poor outcomes of these lesions, the 5-year survival stands, at present, at 70% to 80% for standard-risk patients, whereas high-risk patients have a 5-year survival of 55% to 76%. Attempts to further reduce the morbidity and mortality associated with medulloblastoma have been restricted by the toxicity of conventional treatments and the infiltrative nature of the disease. Over the past decade, new discoveries in molecular biology have revealed new insights in signaling pathways regulating medulloblastoma tumor formation. Recent advances in the molecular biology of medulloblastoma indicate that the classification of these embryonal tumors, solely based on histology and clinical criteria, may not be adequate enough. Better understanding of the growth control mechanisms involved in the development and progression of medulloblastoma will allow a better classification, leading to the improvement of the existing therapies, as well as to the development of new therapeutic approaches.

The estrogen receptor-a (ER) plays a crucial role in normal breast development and is also linked to development and progression of mammary carcinoma. The transcriptional repression of ER-a gene in breast cancer is an area of active investigation with potential clinical significance. However, the molecular mechanisms that regulate the ER-a gene expression are not fully understood. Here we show a new molecular mechanism of ER-a gene inactivation mediated by pRb2/p130 in ER-negative breast cancer cells. We investigated in vivo occupancy of ER-a promoter by pRb2/p130-E2F4/5-HDAC1-SUV39 H1-p300 and pRb2/p130-E2F4/5-HDAC1-SUV39H1-DNMT1 complexes, and provided a link between pRb2/ p130 and chromatin-modifying enzymes in the regulation of ER-a transcription in a physiological setting. These findings suggest that pRb2/p130-multimolecular complexes can be key elements in the regulation of ER-a gene expression and may be viewed as promising targets for the development of novel therapeutic strategies in the treatment of breast cancer, especially for those tumors that are ER negative.

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The aim of this study was to develop a simplified ultrasound scanning procedure and scoring method, named Haemophilia Early Arthropathy Detection with UltraSound [HEAD-US], to evaluate joints of patients with haemophilic arthropathy. After an initial consensus-based process involving a multidisciplinary panel of experts, three comprehensive and evidence-based US scanning procedures to image the elbow, knee and ankle were established with the aim to increase sensitivity in detection of early signs of joint involvement while keeping the technique easy and quick to perform. Each procedure included systematic evaluation of synovial recesses and selection of a single osteochondral surface for damage analysis. Based on expert consensus, a simplified scoring system based on an additive scale was created to define the joint status and, in perspective, to offer a tool to evaluate disease progression and monitor the result of treatment in follow-up studies.

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Purpose The purpose of this paper is to investigate the relationship between popularity in a social media network and a company’s revenue, expenditure and market value. Additionally, social media networks are analysed as tools for both voluntary and involuntary intellectual capital (IC) disclosure. Design/methodology/approach These aims are analysed in the context of the football industry. An empirical analysis evaluates the correlations between team and player social media metrics from Facebook, Twitter, Google Plus, Instagram and their football club’s market value, revenue and player transfer fees. Examples of timely IC disclosure are also reported. Findings The results indicate that popularity metrics in social media are determinants of the value of human and relational capital in professional football clubs. Popularity in social media positively correlates to market capitalisation, revenue and player transfer fees. Additionally, examples are provided to show how social media can be a tool for disclosing IC information in a relevant and timely manner. Practical implications From a strategic management perspective, the authors find that there are economic opportunities to be gained from managing social media platforms appropriately and that knowledge derived from social media needs to be used effectively by club managers, so that fans and followers can be transformed into consumers. One practical implication of this research is the need to hire social media experts that are able to develop, coordinate and manage digital communication strategies. Originality/value This paper presents an analysis of emerging changes in technology and communication platforms and different types of disclosure. It aims to demonstrate that the metrics derived from social media can be used as tool to disclose voluntary and involuntary information about IC – information that is particularly useful to investors because their shortage of tangible assets can make football clubs difficult to evaluate.