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.

Background: Racial disparities have been reported in breast cancer care, yet little is known about disparities in access to gene expression profiling (GEP) tests. Given the impact of GEP test results, such as those of Oncotype DX (ODx), on treatment decision-making for hormone receptor-positive (HR+) breast cancer, it is particularly important to assess disparities in its use. Methods: We conducted a retrospective population-based study of 8,784 patients diagnosed with breast cancer in Connecticut during 2011 through 2013. We assessed the association between race, ethnicity, and ODx receipt among women with HR+ breast cancer for whom NCCN does and does not recommend ODx testing, using bivariate and multivariate logistic analyses. Results: We identified 5,294 women who met study inclusion criteria: 83.8% were white, 6.3% black, and 7.4% Hispanic. Overall, 50.9% (n=4,131) of women in the guideline-recommended group received ODx testing compared with 18.5% (n=1,163) in the nonrecommended group. More white women received the ODx test compared with black and Hispanic women in the recommended and nonrecommended groups (51.4% vs 44.6% and 47.7%; and 21.2% vs 9.0% and 9.7%, respectively). After adjusting for tumor and clinical characteristics, we observed significantly lower ODx use among black (odds ratio [OR], 0.64; 95% CI, 0.47-0.88) and Hispanic women (OR, 0.59; 95% CI, 0.45-0.77) compared with white women in the recommended group and in the guideline-discordant group (blacks: OR, 0.39; 95% CI, 0.20-0.78, and Hispanics: OR, 0.44; 95% CI, 0.23-0.85). Conclusions: In this population-based study, we identified racial disparities in ODx testing. Disparities in access to innovative cancer care technologies may further exacerbate existing disparities in breast cancer outcomes.

Purpose: Risk stratification in patients with multiple myeloma (MM) remains a challenge. As clinicopathological characteristics have been demonstrated insufficient for exactly defining MM risk, and molecular biomarkers have become the focuses of interests. Prognostic predictions based on gene expression profiles (GEPs) have been the most accurate to this day. The purpose of our study was to construct a risk score based on stemness genes to evaluate the prognosis in MM.

Materials and methods: Bioinformatics studies by ingenuity pathway analyses in side population (SP) and non-SP (MP) cells of MM patients were performed. Firstly, co-expression network was built to confirm hub genes associated with the top five Kyoto Encyclopedia of Genes and Genomes pathways. Functional analyses of hub genes were used to confirm the biologic functions. Next, these selective genes were utilized for construction of prognostic model, and this model was validated in independent testing sets. Finally, five stemness genes (ROCK1, GSK3B, BRAF, MAPK1 and MAPK14) were used to build a MM side population 5 (MMSP5) gene model, which was demonstrated to be forcefully prognostic compared to usual clinical prognostic parameters by multivariate cox analysis. MM patients in MMSP5 low-risk group were significantly related to better prognosis than those in high-risk group in independent testing sets.

Conclusion: Our study provided proof-of-concept that MMSP5 model can be adopted to evaluate recurrence risk and clinical outcome for MM. The MMSP5 model evaluated in different databases clearly indicated novel risk stratification for personalized anti-MM treatments.

Keywords: gene expression profiling; multiple myeloma; prognosis; risk score; side population.

Telomere lengths in normal human cells are tightly regulated within a narrow range. Telomere length abnormalities are prevalent genetic alterations in malignant transformation. We studied telomere length abnormalities, telomerase RNA component (TERC) expression, alpha-thalassemia X-linked mental retardation (ATRX) expression, and death domain-associated protein (DAXX) expression in gastroenteropancreatic neuroendocrine tumors (GEP-NETs). We used tissue microarrays to perform telomere fluorescent in situ hybridization (FISH) and TERC in situ hybridization in 327 formalin-fixed paraffin-embedded tissues of GEP-NETs. Telomere length abnormalities were detected in 35% of 253 informative cases by using telomere FISH. Ten cases had altered lengthening of telomeres (ALT), an ALT-positive phenotype (4%), and 79 cases had telomere shortening (31%). The ALT-positive phenotype was significantly associated with tumors of pancreatic origin (7/10) and loss of ATRX or DAXX protein (8/10). Telomere shortening was significantly associated with low TERC expression. In the survival analysis, loss of ATRX or DAXX protein was associated with a decreased overall survival. Multivariate regression analysis showed that lymph node metastasis and high TERC expression were independent prognostic factors of reduced overall survival (OS) for patients with GEP-NETs. Our results showed that telomere lengthening (the ALT-positive phenotype) and telomere shortening accompanied by low TERC levels are two types of clinically significant telomere abnormalities in GEP-NETs.

Background: Diffuse large B-cell lymphoma (DLBCL) with double expression of c-MYC and BCL2 protein is associated with dismal outcome after treatment with R-CHOP. Local data on disease burden and survival outcome in DLBCL is limited. We investigated the prognostic values of c-MYC/BCL2 protein co-expression and cell of origin subtypes using immunohistochemistry (IHC) and to determine their associations with multiethnic groups under resource limited setting. Methods: This was a retrospective study which recruited 104 patients in between June 2012 and December 2015 for IHC review and analysis. Result: We demonstrated that patients with high International Prognostic Index (IPI) (score 3-5) and co-expression of c-MYC/BCL2 protein had significant inferior overall survival (OS) and event free survival (EFS) respectively (P<0.05). c-MYC/BCL2 protein co-expression was more common in non-germinal center B-cell (non-GCB) (P=0.048) and contributed to adverse prognosis in this group of patients (OS, P=0.004; EFS, P=0.005). In multivariate analysis, double-protein co-expression was a significant independent predictor of inferior outcome after adjusted for IPI and cell of origin subtypes (OS hazard ratio [HR], 2.11; 95% CI, 1.01 to 4.04; P=0.048; EFS HR, 2.31; 95% CI, 1.05 to 5.04; P=0.036). In addition, non-GCB subtype was more common than GCB in Malays (60% vs 40%, P=0.106) and Chinese (81.2% vs 18.8%, P=0.042). Indians had more DLBCL without c-MYC/ BCL2 protein co-expression compared to double-protein positive cases (66.7% vs 33.3%, P=0.414). Otherwise, the prognostic impact of ethnicity on survival outcome was insignificant (P=0.961). Conclusion: c-MYC/BCL2 protein co-expression in non-GCB subtype constituted a unique group with extremely inferior outcome regardless of ethnicity. Gene expression profile (GEP) may possibly provide insights into the cause of discrepancies in DLBCL subtypes and protein expression among the multiethnic groups.

BACKGROUND

Tumor grade is an important predictor of survival in gastroenteropancreatic (GEP) neuroendocrine tumors (NETs), as determined by Ki-67 expression and mitotic rate. NETs generally grow indolently, but some cells may acquire traits facilitating metastasis. It is unclear how frequently metastases differ in grade from their primary tumors, and whether increasing grade in metastases affects prognosis.

METHODS

Ki-67 immunohistochemistry was performed on resected GEPNET specimens and cases with results for both primary tumors and concurrent metastases were identified. Grade was determined using a modified World Health Organization classification (Ki-67: G1 = 0-2%; G2>> 2-20%; G3>> 20%).

RESULTS

Ki-67 was performed on both the primary tumor and metastases in 103 patients. Tumor grade was higher in metastases from 25 (24%) patients, 24 increased from G1 to G2, and 1 increased from G2 to G3; 68 (66%) patients had no change in grade (42 G1 and 26 G2), and 10 (10%) decreased from G2 to G1. No clinicopathologic factors were predictive of higher grade in metastases. The 5-year progression-free survival (PFS) was 55% for patients with stable grade versus 8% of patients with increased grade, while 5-year overall survival (OS) was 92 and 54%, respectively. The 5-year OS of patients who had stable grade with G1 and G2 primaries was 92 and 64%, respectively.

CONCLUSIONS

Nearly one-third of patients had metastases with a different grade than their primary, and, when grade increased, both PFS and OS significantly decreased. Determining the grade in both the primary tumor and a metastasis is important for estimating prognosis and to help inform decisions regarding additional therapies.

Unprecedented levels of nitrogen (N) have entered terrestrial ecosystems over the past century, which substantially influences the carbon (C) exchange between the atmosphere and biosphere. Temperature and moisture are generally regarded as the major controllers over the N effects on ecosystem C uptake and release. N-phosphorous (P) stoichiometry regulates the growth and metabolisms of plants and soil organisms, thereby affecting many ecosystem C processes. However, it remains unclear how the N-induced shift in the plant N:P ratio affects ecosystem production and C fluxes and its relative importance. We conducted a field manipulative experiment with eight N addition levels in a Tibetan alpine steppe and assessed the influences of N on aboveground net primary production (ANPP), gross ecosystem productivity (GEP), ecosystem respiration (ER), and net ecosystem exchange (NEE); we used linear mixed-effects models to further determine the relative contributions of various factors to the N-induced changes in these parameters. Our results showed that the ANPP, GEP, ER, and NEE all exhibited nonlinear responses to increasing N additions. Further analysis demonstrated that the plant N:P ratio played a dominate role in shaping these C exchange processes. There was a positive relationship between the N-induced changes in ANPP (ΔANPP) and the plant N:P ratio (ΔN:P), whereas the ΔGEP, ΔER, and ΔNEE exhibited quadratic correlations with the ΔN:P. In contrast, soil temperature and moisture were only secondary predictors for the changes in ecosystem production and C fluxes along the N addition gradient. These findings highlight the importance of plant N:P ratio in regulating ecosystem C exchange, which is crucial for improving our understanding of C cycles under the scenarios of global N enrichment.

A key factor in determining the likely outcome for a patient with colorectal cancer is whether or not the tumour has metastasised to the lymph nodes-information which is also important in assessing any possibilities of lymph node resection so as to improve survival. In this review we perform a wide-range assessment of literature relating to recent developments in gene expression profiling (GEP) of the primary tumour, to determine their utility in assessing node status. A set of characteristic genes seems to be involved in the prediction of lymph node metastasis (LNM) in colorectal patients. Hence, GEP is applicable in personalised/individualised/tailored therapies and provides insights into developing novel therapeutic targets. Not only is GEP useful in prediction of LNM, but it also allows classification based on differences such as sample size, target gene expression, and examination method.

Peptide receptor radionuclide therapy (PRRT), developed over the last two decades, is carried out using radiopharmaceuticals such as 90Y-DOTA-Tyr3-octreotide and 177Lu-DOTA-Tyr3-octreotate (177Lu-Dotatate). These radiocompounds are obtained by labeling a synthetic somatostatin analog with a β-emitting radioisotope. The compounds differ from each other in terms of their energetic features (due to the radionuclide) and peptide receptor affinity (due to the analog) but share the common characteristic of binding specific membrane somatostatin receptors that are (generally) overexpressed in neuroendocrine neoplasms (NENs) and their metastases. NENs are tumors arising from diffuse neuroendocrine system cells that are classified according to grading based on Ki67 percentage values (Grades 1 and 2 are classed as neuroendocrine tumors [NETs]) and to the anatomical site of occurrence (in this paper, we only deal with gastroenteropancreatic [GEP]-NETs, which account for 60%-70% of all NENs). They are also characterized by specific symptoms such as diarrhea and flushing (30% of cases). Despite substantial experience gained in the area of PRRT and its demonstrable effects in terms of efficacy, safety, and improvement in quality of life, these compounds are still not registered (registration of 177Lu-Dotatate for the treatment of midgut NETs is expected soon). Thus, PRRT can only be used in experimental protocols. We provide an overview of the work of leading groups with wide-ranging experience and continuity in data publication in the area of GEP-NET PRRT and report our own personal experience of using different dosage schedules based on the presence of kidney and bone marrow risk factors. Our results on the retreatment of patients previously administered 90Y-DOTA-Tyr3-octreotide with a low dosage of 177Lu-Dotatate are also included. A comment on potential future developments of PRRT in GEP-NETs is provided.

Current staging criteria for gastroenteropancreatic neuroendocrine neoplasms (GEP-NENs), while useful, have limitations. In this study, we used a population-based registry to evaluate the prognostic utility of the current staging systems and assess whether evidence-based modifications can improve survival predictions.

We identified patients with confirmed GEP-NENs from the Surveillance, Epidemiology and End Results registry. We assigned tumour-node-metastasis status according to American Joint Committee on Cancer and European Neuroendocrine Tumor Society criteria. We derived a revised staging classification using Kaplan-Meier methods and Cox regression to assess disease-specific survival and compared the accuracy of potential models based on the Akaike Information Criterion (AIC) and Harrell's C-index. The revised classification was validated in an independent set.

We identified 10,268 patients with GEP-NENs. We found that multiple stages, as determined by current criteria, misclassified patients' prognosis. In particular, stage IIIB (T1-4N1) had overlapping survival with stage IIIA (T4N0). A revised system which reclassifies N1 disease into different stages based on T status (T1-2N1, T3N1 and T4N1) had an improved AIC (difference = 38) and C-index (0.86) compared to current staging. These revisions improved predictions in patients with both low and high-grade tumours from all primary sites. Results also were confirmed across all primary sites in the validation set.

Current staging guidelines misclassify the prognosis of N1 patients. Our results suggest that a revised system could lead to better prognostication for GEP-NEN patients. Further validation followed by implementation of these revisions may improve treatment selection and design of clinical trials.

BACKGROUND

The risk of recurrence after resection of non-metastatic gastro-entero-pancreatic neuroendocrine tumors (GEP-NET) is poorly defined. We developed/validated a nomogram to predict risk of recurrence after curative-intent resection.

METHODS

A training set to develop the nomogram and test set for validation were identified. The predictive ability of the nomogram was assessed using c-indices.

RESULTS

Among 1477 patients, 673 (46%) were included in the training set and 804 (54%) in y the test set. On multivariable analysis, Ki-67, tumor size, nodal status, and invasion of adjacent organs were independent predictors of DFS. The risk of death increased by 8% for each percentage increase in the Ki-67 index (HR 1.08, 95% CI, 1.05-1.10; P < 0.001). GEP-NET invading adjacent organs had a HR of 1.65 (95% CI, 1.03-2.65; P = 0.038), similar to tumors ≥3 cm (HR 1.67, 95% CI, 1.11-2.51; P = 0.014). Patients with 1-3 positive nodes and patients with >3 positive nodes had a HR of 1.81 (95% CI, 1.12-2.87; P = 0.014) and 2.51 (95% CI, 1.50-4.24; P < 0.001), respectively. The nomogram demonstrated good ability to predict risk of recurrence (c-index: training set, 0.739; test set, 0.718).

CONCLUSIONS

The nomogram was able to predict the risk of recurrence and can be easily applied in the clinical setting.

OBJECTIVE

Everolimus is an inhibitor of mTOR, approved for treatment of advanced pancreatic neuroendocrine tumors (NETs). The purpose of this observational study was to evaluate the efficacy and safety of everolimus in treatment of progressive, advanced gastroenteropancreatic neuroendocrine tumors (GEP-NETs) in Taiwan.

METHODS

Fifty-three patients with progressive, advanced GEP-NETs who received everolimus treatment between January 2008 and August 2014 were selected. Patient characteristics, tumor features, safety profiles and treatment efficacy were retrospectively analyzed.

RESULTS

Mean follow-up duration was 23.7 (1.2-70) months and 37 of 53 patients (69.8%) remained alive at the end of study. The one- and two-year overall survival rates were 90.5% and 75.4%, respectively. The median progression-free survival (PFS) was 18.9 (95% confidence interval; 10.9-26.8) months. Partial response was observed in 15 (28.3%) patients, 29 (54.7%) patients had stable disease and nine (17%) patients had progressive disease. Patients with World Health Organization (WHO) grade I NETs, nonfunctional tumors and liver metastasis burden <10% had significantly better PFS with everolimus treatment. Adverse events observed were stomatitis (35.8%), hyperglycemia (22.6%) and rash (18.8%). Seven (15.4%) patients experienced severe adverse events (grade 3 or more), including hyperglycemia (4.4%), anemia (4.4%), fatigue (2.2%) and elevated liver function (2.2%). One (2.2%) patient died from grade 5 interstitial pneumonitis.

CONCLUSIONS

Everolimus was an effective treatment for Taiwanese patients with progressive advanced GEP-NETs. Patients with nonfunctional NETs had a trend toward longer PFS, whereas patients with liver metastases burden <10% had a trend toward longer overall survival time receiving everolimus treatment.

Receptor scintigraphy with 111In-pentetreotide is a complementary imaging technique with a sensitivity of 88% for the localization of the primary tumor and its metastases in patients presenting with the clinical and biochemical symptoms of an endocrine tumor of the gastrointestinal tract or the pancreas. As a whole-body scintigraphic technique it covers all body regions and is also able to reveal small tumors which can only be detected with difficulty or not at all by the usual imaging methods. In 104 patients with GEP tumors or after operative removal of such tumors, receptor scintigraphy proved to be superior to ultrasound and computed tomography in 34%, equal in 52% and inferior in 14% of the cases.

OBJECTIVE

To analyze the clinicopathologic characteristics of gastroenteropancreatic neuroendocrine neoplasm(GEP-NET) and explore the prognostic factors for patients with GEP-NET.

METHODS

Retrospectively reviews were conducted for the charts of 68 patients diagnosed pathologically with GEP-NET and treated at Sichuan Cancer Hospital during January 2001 to June 2012. The information of prognostic factors was retrieved and analyzed. Kaplan-Meier method was used to estimate survival rates and plot patient survival curves of patients at different levels of predictive factors. The association between clinicopathologic characteristic and prognosis in GEP-NET patients was assessed with Log-rank test. Meanwhile Cox proportional hazard model was used to select independent risk factors of patient survival.

RESULTS

Stomach (20/68,29.41%) and cardia (16/68,23.53%) were mostly involved. Frequent tumor sites for males were stomach and cardia (34/52,65.38%) while the most common site was intestinal canal for female (12/16) . Ages of disease onset were different significantly among patient groups of different sites (P = 0.023). The average age of intestinal NET was the highest while gastric NET had the lowest. During a median follow-up duration of 49 (3-120)months, there were 37 deaths (54.41%), including 30 from postoperative relapses. Postoperative survival time ranged from 4-115 months. The mean survival periods were (46 ± 7) months respectively. The 1, 3, and 5-year survival rates were 65.1%, 41.5% and 28.7% respectively. Univariate analyses showed that the risk factors of survival time were patient age over 60 years, tumor size>> 2 cm, T2-4 stage of tumor, vascular invasion, lymph node metastasis, distant metastasis, positive surgical margin and pathological grades of neuroendocrine carcinoma (NEC) and mixed adenoneuroendocrine carcinoma (MANEC). Multivariate analysis indicated independent risk factors were tumor size>> 2 cm and pathological grades of NEC and MANEC.

CONCLUSIONS

GEP-NET may occur at multiple sites of digestive system and lack specific clinical manifestations. Tumor size, distant metastasis and pathological grades were independent prognostic factors for GEP-NET patients.

The era of 'big data' is also the era of abundant data, creating new opportunities for student-scientist research partnerships. By coordinating undergraduate efforts, the Genomics Education Partnership produces high-quality annotated data sets and analyses that could not be generated otherwise, leading to scientific publications while providing many students with research experience.

Gastroenteropancreatic neuroendocrine tumours (GEP NETs) are relatively rare neoplasms arising from the enterochromaffin cells of the gastrointestinal tract. They comprise a heterogeneous group of tumours with a diverse natural history, variable biological behaviour and different clinical outcomes. Their management is often complex and may include a combination of surgery, systemic treatments and locoregional approaches. A multidisciplinary team approach is therefore essential for the optimal care of patients with GEP NETs. In this article, the authors review the role and structure of multidisciplinary care models, the importance of regional centres of expertise and institutional networks for the management of these rare neoplasms, as well as the multidisciplinary therapeutic challenges that NET clinicians are often faced with.