OBJECTIVE

Amine precursor uptake and decarboxylation is a classical feature of gastroenteropancreatic (GEP) neuroendocrine tumors (NET). Production of catecholamines was studied in GEP NET and non-NET patients.

METHODS

A cross-sectional study was undertaken.

METHODS

We studied catecholamine and metabolite secretion in 115 consecutive GEP NET patients and in 20 patients with non-NET. After specific extraction, vanilmandelic acid, homovanilic acid, catecholamines (norepinephrine, epinephrine, dopamine) and methoxylated derivates (metanephrine, normetanephrine, methoxytyramine) in urinary extracts were analyzed by high performance liquid chromatography. Results were indexed to the 24-h urinary creatinine levels.

RESULTS

Among the 115 patients with NET, 9 (8%) had an increase of at least one urinary catecholamine or metabolite; in 7 out of the 9 the increase was slight being less than twice the upper value of the normal range. Elevated urinary dopamine (3 patients), methoxytyramine (6 patients), norepinephrine (2 patients) and normetanephrine (2 patients) were found. No increased urinary excretion of epinephrine nor metanephrine was observed. An adrenal mass existed in one of these nine patients but metaiodobenzylguanidine scintigraphy was negative as was immunohistochemistry for epithelial markers. None of the 20 patients with non-NET demonstrated an increased excretion of catecholamine or metabolites. No relationships were found between catecholamine and metabolite excretions and patients' tumor and treatment characteristics.

CONCLUSIONS

Production of catecholamines and metabolites is a rare event in GEP NET patients. Histological results, including positive immunohistochemistry for epithelial markers may help to diagnose GEP NET.

The Rho subfamily, consisting of three members (RhoA, -B and -C), belongs to the small GTP-binding protein superfamily. The Rho subfamily is implicated in regulation of various actin filament-dependent cell functions, such as cell aggregation, cell motility and cytokinesis. The Rho subfamily receives an upstream signal and is converted from the GDP-bound inactive form to the GTP-bound active form which transduces a signal to a downstream pathway. This conversion is regulated by GDP/GTP exchange proteins (GEPs) and several GEPs for the Rho subfamily have been identified. The GEPs thus far reported are mainly isolated from the cytosol fraction of various tissues and are not specific for the Rho subfamily. Here we have partially purified a membrane-associated GEP specific for the Rho subfamily (mRho GEP). mRho GEP was extracted from the crude synaptic membrane fraction of rat brain by a combination of detergent and NaCl, and partially purified by several column chromatographies. The partially purified mRho GEP was active on RhoA but was inactive on other small GTP-binding proteins including at least Rac1, Ki-Ras and Rab3A. RhoA undergoes post-translational lipid modifications and mRho GEP required these lipid modifications for its GEP activity. mRho GEP was not active in the presence of Rho GDI, an inhibitory Rho GEP. These results indicate that there is a membrane-associated GEP specific for Rho and suggest that Rho is activated by this GEP on the membranes.

The aim of this study was to investigate correlations between the standardized uptake value of the biopsy site (BSUVmax) and levels of glucose transporter (GLUT)-1, GLUT-3 and hexokinase-II (HK-II), between BSUVmax and the Ki-67 proliferation index (MIB-1), and between BSUVmax and clinicopathological factors. Sixty-eight patients with diffuse large B-cell lymphoma (DLBCL) were included in this study. BSUVmax was significantly correlated with GLUT-1, GLUT-3 and the International Prognostic Index (IPI) (GLUT-1: r = 0.584, IPI: r = 0.363, p < 0.001; GLUT-3: r = 0.369, p = 0.009; IPI: r = 0.363, p = 0.004), but not with MIB-1 and HK-II. A statistically significant correlation was observed between GLUT-3 expression and each of IPI and gene expression profiling (GEP) (IPI: p = 0.0186; GEP: p = 0.0179). 2-Deoxy-2-[(18)F]-fluoro-d-glucose (FDG) uptake was significantly correlated with the levels of GLUT-1 and GLUT-3 and with IPI. The results indicated that GLUT-3 expression is related to GEP and IPI, and that BSUVmax and GLUT-3 may have a relationship with the prognosis of DLBCL.

The molecular events leading to gastroenteropancreatic neuroendocrine tumor (GEP-NET) formation are largely unknown. Over the past decades, systemic chemotherapies have been replaced by therapies directed at particular molecular targets such as the somatostatin receptors, mTOR complexes or proangiogenic molecules. These approaches have demonstrated some success in subtypes of this heterogeneous tumor group, but responses are still widely varied. This review highlights the clinical trials ongoing for neuroendocrine tumors (NETs) and includes emerging immunotherapy, which holds great promise for NETs based on successes in other tumor types. Current avenues of preclinical research, including Notch and PI3K/AKT, will lead to additional targeted therapies based on genome-wide studies that have cast a wide net in the search for driver mutations. Future preclinical and clinical investigations are required to identify those mutations predictive of therapeutic response or disease progression. Results of current clinical trials outlined here will better inform patient management with respect to agent selection, timing, duration and combination therapy in the treatment of NETs.

Gastroenteropancreatic Neuroendocrine Tumours (GEP NET) are heterogeneous and rare malignancies although their prevalence is increasing. Multiple therapeutic approaches are available to date for their management, including surgery, hormonal and immune radionucleide therapies and chemotherapy. The purpose of this review is to collect, examine, and analyze data available regarding contemporary chemotherapeutic management of GEP NET in order to determine whether or not chemotherapy still takes place in the therapeutic arsenal of GEP NET. We therefore performed a systematic search of all the English-spoken literature regarding GEP NET. Anthracyclins, 5-fluorouracil (5-FU), DTIC and streptozotocin are amongst the most commonly used chemotherapeutic agents, usually prescribed in combination. Their efficiency in reducing tumor burden is not always associated with better survival, perhaps due to severe toxicity. Chemotherapy in GEP NET is mainly devoted to poorly differentiated tumours, but also in well differentiated carcinomas either not eligible or resistant to other therapies. Chemotherapy remains therefore useful in specific cases of GEP NET management. However, a new era of antitumoral agents, such as targeted therapies, could eventually replace these old recipes in the near future.

OBJECTIVE

Glucocorticoids are part of the therapeutic armamentarium of chronic lymphocytic leukemia (CLL) where it has been suggested that cells with unmutated IGHV genes exhibit higher sensitivity. The mechanisms by which glucocorticoids are active in CLL are not well elucidated. We aimed to ascertain the activity of dexamethasone in CLL cells according to prognosis and to identify the molecular mechanisms that are influencing the response to this drug.

METHODS

Sensitivity to dexamethasone was analyzed ex vivo in 50 CLL and compared according to IGHV mutational status and/or ZAP-70 expression. The response was further compared by gene expression profiling (GEP) of selected cases. Expression of genes of interest was validated by quantitative reverse transcriptase PCR.

RESULTS

Response to dexamethasone was higher in cases with unmutated IGHV/high ZAP-70 expression, and the levels of induction of the pro-apoptotic Bim protein correlated with the degree of cell death. GEP analysis showed few genes differentially expressed after dexamethasone treatment between mutated and unmutated cases. However, functional annotation analysis showed that unmutated cases had significant enrichment in terms related to apoptosis. Specific analysis of genes of interest conducted in a large series disclosed that in unmutated IGHV cells, FKBP5 expression was higher at baseline and after dexamethasone exposure and that GILZ was more induced by dexamethasone treatment in these cases.

CONCLUSIONS

Unmutated IGHV/high ZAP-70 CLL cells exhibit better response to dexamethasone treatment, which is accompanied by a differential expression of genes involved in the glucocorticoid receptor pathway and by an increased induction of genes related to apoptosis.

The combined effects of vegetation and climate change on biosphere-atmosphere water vapor (H2 O) and carbon dioxide (CO2 ) exchanges are expected to vary depending, in part, on how biotic activity is controlled by and alters water availability. This is particularly important when a change in ecosystem composition alters the fractional covers of bare soil, grass, and woody plants so as to influence the accessibility of shallower vs. deeper soil water pools. To study this, we compared 5 years of eddy covariance measurements of H2 O and CO2 fluxes over a riparian grassland, shrubland, and woodland. In comparison with the surrounding upland region, groundwater access at the riparian sites increased net carbon uptake (NEP) and evapotranspiration (ET), which were sustained over more of the year. Among the sites, the grassland used less of the stable groundwater resource, and increasing woody plant density decoupled NEP and ET from incident precipitation (P), resulting in greater exchange rates that were less variable year to year. Despite similar gross patterns, how groundwater accessibility affected NEP was more complex than ET. The grassland had higher respiration (Reco ) costs. Thus, while it had similar ET and gross carbon uptake (GEP) to the shrubland, grassland NEP was substantially less. Also, grassland carbon fluxes were more variable due to occasional flooding at the site, which both stimulated and inhibited NEP depending upon phenology. Woodland NEP was large, but surprisingly similar to the less mature, sparse shrubland, even while having much greater GEP. Woodland Reco was greater than the shrubland and responded strongly and positively to P, which resulted in a surprising negative NEP response to P. This is likely due to the large accumulation of carbon aboveground and in the surface soil. These long-term observations support the strong role that water accessibility can play when determining the consequences of ecosystem vegetation change.

Global gene expression profiling (GEP) studies of breast cancer have identified distinct biological classes with different clinical and therapeutic implications. Oestrogen receptor (ER) has been found to be a central marker of the molecular signature. GEP studies have consistently recognized a molecularly distinct class of tumours that is characterized by high-level expression of ER and other biomarkers recognized to be characteristic of normal luminal cells of the breast. This class is the largest of the GEP-defined molecular subclasses, comprising 60-70% of breast cancer cases. Moreover, it has been proposed that this group of tumours is composed of at least two subclasses distinguished by differing GEP profiles. At present, there is no consensus on the definition of the luminal subclasses and, in clinical practice, luminal-like tumours and ER-positive tumours are frequently considered to be the same. A better understanding of the biological features of luminal tumours could lead to their improved characterization and consistent identification. In this review, we explore the concept and definitions of the luminal-like class of breast carcinoma and their contribution to our understanding of their molecular features, clinical significance and therapeutic implications.

OBJECTIVE

Gastro-entero-pancreatic (GEP) endocrine tumours are a heterogenous group of tumours of variable localization and prognosis. It has been suggested that positron emission tomography (PET) using 2-[18F]fluoro-2-deoxy-D-glucose (18F-FDG) may have a prognostic value and help to identify patients at risk of progression. [18F]fluoro-3'-deoxy-3'-L-fluorothymidine (18F-FLT) has been recently developed as a PET proliferation tracer. At present, there are no studies investigating its role in GEP. The aim of this prospective study was to assess the value of 18F-FLT-PET for the evaluation of GEP.

METHODS

Ten patients with biopsy-proven locally advanced or metastasized, well-differentiated GEP neuroendocrine tumours were prospectively enrolled and scheduled for 18F-FDG and 18F-FLT-PET. Images were compared with other conventional diagnostic procedures, namely computed tomography, ultrasound, somatostatin receptor scintigraphy and with clinical and diagnostic follow-up.

RESULTS

Evaluation criteria were interpreted in terms of assumed presence of tumoral tissue. According to the patient's status, FDG was positive in five out of the seven patients with stable disease and in two out of the three patients with progressive disease. No positive case was identified by 18F-FLT in either the primary or the metastatic tumour site, whatever the status of patients, and this was probably a reflection of the slow proliferation rate of tumours.

CONCLUSIONS

These preliminary data suggest that 18F-FLT-PET is not a suitable tracer for the evaluation of advanced well-differentiated GEP tumours. FDG showed good diagnostic performance but does not help to identify patients at risk of progression.

Surgical treatment is still the only curative treatment proven for patients with neuroendocrine tumors (NET) of the gastroenteropancreatic system. In addition to the therapy of incidental findings, the treatment of NET with variable aggressiveness and often good long-term prognosis requires a thorough preoperative assessment and a surgical procedure that is based on each individual case. Treatment can be surgery alone (if the disease is locally confined) or can be combined with other therapies. Early NET of the stomach and rectum can be cured endoscopically without further diagnostics, while early findings of the appendix can be treated by an appendectomy. Functionally active pancreatic NET and NET of the small intestine are often preoperatively diagnosed based on symptoms. Thus, it is possible to refer the patient to a NET center, if necessary. Stratification of the necessary treatment combination can be made early. An alternative to radical surgical treatment is the operative reduction of the tumor size and hormone production in metastasized NET, which can lead to improved life expectancy and quality of life. Combination with other treatment forms is absolutely necessary in these patients. It has been proven useful to divide the large group of NET based on the different tumor locations, hormone activity, and the degree of differentiation of the tumor. Early forms, locoregionally limited tumor stages, and tumor stages with distant metastases are considered separately.

BACKGROUND

Increasing utilization of genetic expression profiling (GEP) for thyroid nodules with indeterminate fine needle aspiration (FNA) results will potentially decrease the number of patients requiring diagnostic thyroidectomy. This study sought to determine the potential effects of GEP for indeterminate thyroid FNA results on thyroidectomy volume.

METHODS

A retrospective review of thyroidectomy procedures performed over 1 year at the University of Michigan in the endocrine surgery division evaluated the indications for thyroidectomy, FNA Bethesda classification, and final surgical pathology to determine how application of GEP on indeterminate FNA results would affect decision for surgery and subsequent thyroidectomy volume.

RESULTS

During the study period, 358 thyroidectomies were performed. The indication for procedure included: FNA findings, n = 122; symptomatic multinodular goiter, n = 85; nodule >4 cm, n = 30; Graves', n = 26; other, n = 95. FNA was performed in 231 patients. Bethesda classification included: benign, n = 69; malignant, n = 55; follicular lesion of undetermined significance, n = 59; follicular neoplasm, n = 20; suspicious for malignancy, n = 16; nondiagnostic, n = 12. If standard GEP was performed for all indeterminate FNA results, it would have influenced the decision for surgery in 68 (19 %) patients. Assuming 38 % of indeterminate FNA specimens will have benign results on genetic profiling, 27 patients would not have undergone thyroidectomy, translating into a 7.2 % decrease in overall thyroidectomy volume over a year.

CONCLUSIONS

In an academic endocrine surgery program, the most common indication for thyroidectomy is an FNA result; however, standard application of GEP for all indeterminate thyroid FNAs would result in a minimal reduction in overall thyroidectomy volume.

BACKGROUND

Manual evaluation of somatostatin receptor (SSTR) immunohistochemistry (IHC) is a time-consuming and cost-intensive procedure. Aim of the study was to compare manual evaluation of SSTR subtype IHC to an automated software-based analysis, and to in-vivo imaging by SSTR-based PET/CT.

METHODS

We examined 25 gastroenteropancreatic neuroendocrine tumor (GEP-NET) patients and correlated their in-vivo SSTR-PET/CT data (determined by the standardized uptake values SUVmax,-mean) with the corresponding ex-vivo IHC data of SSTR subtype (1, 2A, 4, 5) expression. Exactly the same lesions were imaged by PET/CT, resected and analyzed by IHC in each patient. After manual evaluation, the IHC slides were digitized and automatically evaluated for SSTR expression by Definiens XD software. A virtual IHC score "BB1" was created for comparing the manual and automated analysis of SSTR expression.

RESULTS

BB1 showed a significant correlation with the corresponding conventionally determined Her2/neu score of the SSTR-subtypes 2A (rs: 0.57), 4 (rs: 0.44) and 5 (rs: 0.43). BB1 of SSTR2A also significantly correlated with the SUVmax (rs: 0.41) and the SUVmean (rs: 0.50). Likewise, a significant correlation was seen between the conventionally evaluated SSTR2A status and the SUVmax (rs: 0.42) and SUVmean (rs: 0.62).

CONCLUSIONS

Our data demonstrate that the evaluation of the SSTR status by automated analysis (BB1 score), using digitized histopathology slides ("virtual microscopy"), corresponds well with the SSTR2A, 4 and 5 expression as determined by conventional manual histopathology. The BB1 score also exhibited a significant association to the SSTR-PET/CT data in accordance with the high affinity profile of the SSTR analogues used for imaging.

The gene expression profiles (GEPs) of 96 selected genes were analysed by real-time quantitative polymerase chain reaction (qPCR) with a TaqMan low-density array card in isolated tumour plasma cells (PCs) from 157 newly diagnosed multiple myeloma (MM) patients. This qPCR-based GEP correctly classified cases following the Translocation-cyclin D classification. Classic prognostic parameters and qPCR-based GEP predicted MM patient outcome and, although multivariate analyses revealed that cytogenetic risk (standard vs. high risk) was the variable that most strongly predicted prognosis, GEP added significant information for risk stratification. Considering only the standard risk cytogenetic patients, multivariate analyses revealed that high β2-microglobulin, low CDKN1A and high SLC19A1 gene expression levels independently predicted a short time-to-progression (TTP), while high International Staging System stage, low CDKN2B and high TBRG4 gene expression predicted poor overall survival (OS). A gene expression risk score enabled the division of standard risk patients into two groups with different TTPs (83% vs. 38% at 3 years, P < 0·0001) and OS rates (88% vs. 61% at 5 years; P = 0·003). This study demonstrates that quantitative PCR is a robust, accurate and feasible technique for implementing in the daily routine as a surrogate for GEP-arrays.

BACKGROUND

Neuroendocrine tumors (NETs) of the gastro-entero-pancreatic (GEP) system are a heterogeneous group of cancers more common in the small intestine. In patients with malignant NETs, especially carcinoids, a number of prognostic parameters have been considered, such as age, clinical symptoms related to the neoplasm, TNM staging and histological grade, as well as urinary 5-hydroxyindolacetic acid (5-HIAA), chromogranin A (CgA) and neuron-specific enolase (NSE) serum levels.

METHODS

The data from a series of 14 patients (median age 56 years, range 33-72 years) with gastric (N=8), ileal (N=1), colorectal (N=4) or appendiceal (N=1) malignant carcinoids were retrospectively reviewed.

RESULTS

The specificity of CgA, NSE, and 5-HIAA was 86%, 86% and 93%, while the sensitivity was 64%, 36%, and 36%, respectively. There was no relationship between survival and or urinary 5-HIAA (R=0.12, p=0.45), CgA (R=0.22, p=0.21) nor serum NSE (R=0.12, p=0.76) levels.

CONCLUSIONS

The sensitivity of tumor markers is generally low in patients with malignant carcinoids, and both 5-HIAA and CgA levels are independent of survival.

In the last 30 years the incidence and prevalence of gastroenteropancreatic neuroendocrine tumors (GEP-NETs) has increased substantially. This could be partly due to improvements in diagnostic imaging, which lead to the incidental diagnosis of asymptomatic cases. However, despite these improvements, patients typically experience long delays before they are diagnosed. In this review, we discuss both the limitations and advances in our understanding of the pathogenesis, molecular and cellular biology, diagnosis, classification, staging, and treatment of GEP-NETs in order to identify which factors could be contributing to the delay in diagnosis and timely treatment of these patients. Within this context, the results from the most relevant clinical trials the available targeted therapies for the treatment of GEP-NETs, such as the "RAD001 in Advanced Neuroendocrine Tumors," will be discussed.

BACKGROUND

Comparative Genomic Hybridization (CGH) is a molecular approach for detecting DNA Copy Number Alterations (CNAs) in tumor, which are among the key causes of tumorigenesis. However in the post-genomic era, most studies in cancer biology have been focusing on Gene Expression Profiling (GEP) but not CGH, and as a result, an enormous amount of GEP data had been accumulated in public databases for a wide variety of tumor types. We exploited this resource of GEP data to define possible recurrent CNAs in tumor. In addition, the CNAs identified by GEP would be more functionally relevant CNAs in the disease pathogenesis since the functional effects of CNAs can be reflected by altered gene expression.

METHODS

We proposed a novel computational approach, coined virtual CGH (vCGH), which employs hidden Markov models (HMMs) to predict DNA CNAs from their corresponding GEP data. vCGH was first trained on the paired GEP and CGH data generated from a sufficient number of tumor samples, and then applied to the GEP data of a new tumor sample to predict its CNAs.

RESULTS

Using cross-validation on 190 Diffuse Large B-Cell Lymphomas (DLBCL), vCGH achieved 80% sensitivity, 90% specificity and 90% accuracy for CNA prediction. The majority of the recurrent regions defined by vCGH are concordant with the experimental CGH, including gains of 1q, 2p16-p14, 3q27-q29, 6p25-p21, 7, 11q, 12 and 18q21, and losses of 6q, 8p23-p21, 9p24-p21 and 17p13 in DLBCL. In addition, vCGH predicted some recurrent functional abnormalities which were not observed in CGH, including gains of 1p, 2q and 6q and losses of 1q, 6p and 8q. Among those novel loci, 1q, 6q and 8q were significantly associated with the clinical outcomes in the DLBCL patients (p < 0.05).

CONCLUSIONS

We developed a novel computational approach, vCGH, to predict genome-wide genetic abnormalities from GEP data in lymphomas. vCGH can be generally applied to other types of tumors and may significantly enhance the detection of functionally important genetic abnormalities in cancer research.

BACKGROUND

Genomic technologies are increasingly used to guide clinical decision-making in cancer control. Economic evidence about the cost-effectiveness of genomic technologies is limited, in part because of a lack of published comprehensive cost estimates. In the present micro-costing study, we used a time-and-motion approach to derive cost estimates for 3 genomic assays and processes-digital gene expression profiling (gep), fluorescence in situ hybridization (fish), and targeted capture sequencing, including bioinformatics analysis-in the context of lymphoma patient management.

METHODS

The setting for the study was the Department of Lymphoid Cancer Research laboratory at the BC Cancer Agency in Vancouver, British Columbia. Mean per-case hands-on time and resource measurements were determined from a series of direct observations of each assay. Per-case cost estimates were calculated using a bottom-up costing approach, with labour, capital and equipment, supplies and reagents, and overhead costs included.

RESULTS

The most labour-intensive assay was found to be fish at 258.2 minutes per case, followed by targeted capture sequencing (124.1 minutes per case) and digital gep (14.9 minutes per case). Based on a historical case throughput of 180 cases annually, the mean per-case cost (2014 Canadian dollars) was estimated to be $1,029.16 for targeted capture sequencing and bioinformatics analysis, $596.60 for fish, and $898.35 for digital gep with an 807-gene code set.

CONCLUSIONS

With the growing emphasis on personalized approaches to cancer management, the need for economic evaluations of high-throughput genomic assays is increasing. Through economic modelling and budget-impact analyses, the cost estimates presented here can be used to inform priority-setting decisions about the implementation of such assays in clinical practice.

OBJECTIVE

Endobronchial ultrasound (EBUS) allows minimally invasive sampling of hilar and mediastinal lymph nodes and has an established role in non-small cell lung cancer (NSCLC) diagnosis and staging. Molecular biomarkers are being explored increasingly in lung cancer research. Gene expression profiling (GEP) is a microarray-based technology that comprehensively assesses genome-wide changes in gene expression that can provide tumour-specific molecular signatures with the potential to predict prognosis and treatment responsiveness. We assessed the feasibility of using EBUS-derived aspirates from benign and tumour-infiltrated lymph nodes for GEP.

METHODS

RNA was extracted from EBUS-directed transbronchial fine needle aspiration samples in routine clinical practice. GEP was subsequently performed in six patients with NSCLC, three of whom had tumour-infiltrated nodes and three who had benign lymph nodes; the differences in gene expression were then compared.

RESULTS

RNA was successfully extracted in 29 of 32 patients, 12 of whom were diagnosed with NSCLC. RNA yield (median, 12.1 μg) and RNA integrity (median, 6.3) were sufficient after amplification for GEP. Benign and malignant nodes in adenocarcinoma were discriminated by principal component analysis and hierarchical clustering with different expression patterns between malignant and benign nodes.

CONCLUSIONS

We have demonstrated the feasibility of RNA extraction and GEP on EBUS-derived transbronchial fine needle aspirates from benign and tumour-infiltrated lymph nodes in patients with known NSCLC in routine clinical practice. Further studies on larger patient cohorts are required to identify expression profiles that robustly differentiate benign from malignant lymph nodes in NSCLC.

To test whether, in horses, the concentration of muscle glycogen can be influenced by increasing the uptake of glucose into the muscle cells or by providing a gluconeogenic precursor, 9 trained half-bred riding horses performed on a treadmill a 1.5 h competition exercise test (CET). Each horse performed CET 3 times and 30 min after CET, each was given one of the following solutions: isotonic glucose-electrolyte (GE) solution, GE supplemented with 50 g leucine (GEL) to increase insulin secretion, or GE supplemented with 200 ml propionic acid (GEP), a gluconeogenic precursor. Administration of GE solutions caused no increase in plasma glucose concentration. The highest concentration of insulin was measured after GEL, but also in the GE group the concentration of insulin increased. GEP completely inhibited the increase in insulin concentration. Concentration of glucagon was increased 6 and 22.5 h after CET. None of the post exercise treatments influenced significantly the glycogen content at 22.5 h after CET. This indicates that neither i) elevation of insulin concentration to increase muscle-uptake of glucose, nor ii) increase in the availability of a glucose precursor, propionic acid, was able to increase accumulation of glycogen in the middle gluteal muscle.

The outcome for adults with Philadelphia chromosome (Ph+) leukaemias (chronic myeloid leukaemia (CML) and acute lymphoblastic leukaemia (ALL)) has been dramatically improved with the use of tyrosine kinase inhibitors (TKIs), but progression and/or relapse are still present in the majority of patients. We reviewed recent findings obtained from analysis of BCR-ABL point mutations, gene expression profiling (GEP) analysis single nucleotide polymorphism (SNP) arrays and characterised by the identification of multiple novel genetic alterations targeting key cellular pathways, including lymphoid differentiation, cell cycle, tumour suppression, apoptosis and drug responsiveness. By GEP analysis, several down/up-expressed genes have been identified. Furthermore, by SNP array analysis, deletions of genes such as IKAROS, PAX5 and CDKN2A-CDKN2B were frequently identified. New therapeutic approaches with novel TKIs are now available. Dasatinib, nilotinib and bosutinib are now in clinical development. Some emerging aurora kinase inhibitors, such as VX-680, PHA-739358, MK-0457 and AS703569, and Smo1 and Hedgehog (Hh) inhibitors promise clinical efficacy against the Bcr-Ab T315I mutant form and leukaemia stem cells, respectively. In this review, we highlight the most promising drugs for the treatment of adult BCR-ABL-positive leukaemias.

The Rho family belongs to the Ras-related small GTP-binding protein (G protein) superfamily and regulates various cell functions in which the actomyosin system is involved, including cell morphology, membrane ruffling, cell motility, cell aggregation, cytokinesis, smooth muscle contraction, and yeast budding. Three GDP/GTP exchange proteins (GEPs), named Smg GDS, Dbl, and Rho GDI, and two GTPase activating proteins (GAPs), named Rho GAP and p190 associated with Ras GAP, have been identified. The Rho activity is likely to be regulated by protein kinase C which is linked through phospholipase C to the tyrosine kinase-type membrane receptors and the heterotrimeric G protein-linked receptors. It is likely that both Ras and Rho receive signals from the membrane receptors through different pathways and transduce signals to genes and cytoskeleton, respectively. In carcinogenesis, mutational activation of any component in the Ras signaling pathway may cause abnormal cell proliferation, whereas mutational activation of any component in the Rho signaling pathway may cause invasiveness and metastasis of carcinoma cells.

Neuroendocrine tumours of the gastroenteropancreatic tract (GEP-NETs) comprise a group of very heterogeneous neoplasms, which are considered 'rare diseases'. Epidemiological studies on the incidence of GEP-NETs worldwide have reported a remarkable increase in the detection of these tumours. In a recent study, based on pathology reports (PALGA) to investigate the incidence of pancreatic and duodenal neuroendocrine tumours in the Netherlands from 1991 until 2009, we also noticed a significant increase in the incidence of these tumours. In particular, the incidence of non-functioning neuroendocrine tumours had significantly increased over this period. Remarkably, a substantial discrepancy was observed between the numbers of neuroendocrine tumours diagnosed in the clinical as opposed to the pathological setting, emphasising that these tumours provide a real diagnostic challenge. To improve the diagnosis of GEP -NET s, we advocate that these complex neoplasms should receive more specialised attention. In this mini-review we provide an overview of the current diagnostic approach to GEP-NETs, and add the recent developments in establishing the diagnosis of these tumours, in order to increase knowledge and awareness of GEP-NETs among clinicians and pathologists. Early detection in order to prevent morbidity from GEP-NETs is advocated.

Brain tumors, including the majority gliomas, are the leading cause of cancer-related death in children. World Health Organization has divided pediatric brain tumors into different grades and, based upon cDNA microarray data identifying gene expression profiles (GEPs), it has become evident in the last decade that the various grades involve different types of genetic alterations. However, it is not known whether ion channel and transporter genes, intimately involved in brain functioning, are associated with such GEPs. We determined the GEPs in an available cohort of 10 pediatric brain tumors initially by comparing the data obtained from four primary tumor samples and corresponding short-term cultures. The correspondence between the two types of samples was statistically significant. We then performed bioinformatic analyses on those samples (a total of nine) which corresponded to tumors of glial origin, either tissues or cell cultures, depending on the best "RNA integrity number." We used R software to evaluate the genes which were differentially expressed (DE) in gliomas compared with normal brain. Applying a p-value below 0.01 and fold change ≥4, led to identification of 2284 DE genes. Through a Functional Annotation Analysis (FAA) using the NIH-DAVID software, the DE genes turned out to be associated mainly with: immune/inflammatory response, cell proliferation and survival, cell adhesion and motility, neuronal phenotype, and ion transport. We have shown that GEPs of pediatric brain tumors can be studied using either primary tumor samples or short-term cultures with similar results. From FAA, we concluded that, among DE genes, pediatric gliomas show a strong deregulation of genes related to ion channels and transporters.

OBJECTIVE

Uveal melanoma is the most common primary intraocular cancer; however, the molecular features that predict response to therapy are poorly understood. Our objective was to determine whether gene expression profiling (GEP) is associated with rate of tumor regression after I-125 plaque brachytherapy for uveal melanoma.

METHODS

Retrospective review of 138 patients with posterior uveal melanoma treated with I-125 plaque brachytherapy in which GEP class and 3-month post-radiation ultrasonographic tumor thickness data were available. Statistical analysis was performed using t test and Fisher's exact test.

RESULTS

GEP class assignment was class 1 in 83 (60.1%) and class 2 in 55 (39.9%) patients. Mean patient age was 60.9 years for class 1 and 68.1 years for class 2 tumors (P = .002). Mean initial tumor diameter was 13.0 mm for class 1 and 14.1 mm for class 2 tumors (P = .02). Mean initial tumor thickness was 5.2 mm for class 1 and 6.1 mm for class 2 tumors (P = .047). Three months after I-125 plaque radiotherapy, mean reduction in tumor thickness was 26.5% for class 1 and 16.7% for class 2 tumors (P = .03).

CONCLUSIONS

Class 1 uveal melanoma tumors exhibit more rapid early tumor regression than class 2 tumors after I-125 plaque radiotherapy.