COVID-19 or SARS-Cov-2, affecting 6 million people and more than 300,000 deaths, the global pandemic has engulfed more than 90% countries of the world. The virus started from a single organism and is escalating at a rate of 3% to 5% daily and seems to be a never ending process. Understanding the basic dynamics and presenting new predictions models for evaluating the potential effect of the virus is highly crucial. In present work, an evolutionary data analytics method called as Genetic programming (GP) is used to mathematically model the potential effect of coronavirus in 15 most affected countries of the world. Two datasets namely confirmed cases (CC) and death cases (DC) were taken into consideration to estimate, how transmission varied in these countries between January 2020 and May 2020. Further, a percentage rise in the number of daily cases is also shown till 8 June 2020 and it is expected that Brazil will have the maximum rise in CC and USA have the most DC. Also, prediction of number of new CC and DC cases for every one million people in each of these countries is presented. The proposed model predicted that the transmission of COVID-19 in China is declining since late March 2020; in Singapore, France, Italy, Germany and Spain the curve has stagnated; in case of Canada, South Africa, Iran and Turkey the number of cases are rising slowly; whereas for USA, UK, Brazil, Russia and Mexico the rate of increase is very high and control measures need to be taken to stop the chains of transmission. Apart from that, the proposed prediction models are simple mathematical equations and future predictions can be drawn from these general equations. From the experimental results and statistical validation, it can be said that the proposed models use simple linkage functions and provide highly reliable results for time series prediction of COVID-19 in these countries.

Keywords: COVID-19; Coronavirus; Countries of the world; Gene expression programming (GEP); SARS-CoV-2; Time series forecasting.

OBJECTIVE

A key issue in gastroenteropancreatic neuroendocrine tumors (GEP-NETs) is early identification and prediction of disease progression. Clinical evaluation and imaging are limited due to the lack of sensitivity and disease indolence. We assessed the NETest as a predictive and prognostic marker of progression in a long-term follow-up study.

METHODS

GEP-NETs (n = 34) followed for a median 4 years (2.2-5.4) were evaluated. WHO tumor grade/stage grade 1: n = 17, grade 2: n = 14, grade 3: n = 1 (for 2, no grade was available); 31 (91%) were stage IV. Baseline and longitudinal imaging and blood biomarkers were available in all, and progression was defined per standard clinical protocols (RECIST 1.0). The NETest was measured by quantitative PCR of blood and multianalyte algorithmic analysis (disease activity scaled 0-100% with low <40% and high activity risk cutoffs >80%); chromogranin A (CgA) was measured by radioimmunoassay (normal <150 µg/l); progression-free survival (PFS) was analyzed by Cox proportional-hazard regression and Kaplan-Meier analysis.

RESULTS

At baseline, 100% were NETest positive, and CgA was elevated in 50%. The only baseline variable (Cox modeling) associated with PFS was NETest (hazard ratio = 1.022, 95% confidence interval = 1.005-1.04; p < 0.012). Using Kaplan-Meier analyses, the baseline NETest (>80%) was significantly associated (p = 0.01) with disease progression (median PFS 0.68 vs. 2.78 years with <40% levels). The NETest was more informative (96%) than CgA changes (<under>)</under>25%) in consistently predicting disease alterations (40%, p < 2 × 10-5, χ2 = 18). The NETest had an earlier time point change than imaging (1.02 ± 0.15 years). Baseline NETest levels >40% in stable disease were 100% prognostic of disease progression versus CgA (χ2 = 5, p < 0.03). Baseline NETest values <40% accurately (100%) predicted stability over 5 years (p = 0.05, χ2 = 3.8 vs. CgA).

CONCLUSIONS

The NETest correlated with a well-differentiated GEP-NET clinical status. The NETest has predictive and prognostic utility for GEP-NETs identifying clinically actionable alterations ∼1 year before image-based evidence of progression.

OBJECTIVE

The diagnosis of patients with myelodysplastic syndromes (MDS) is largely dependent on morphologic examination of bone marrow aspirates. Several criteria that form the basis of the classifications and scoring systems most commonly used in clinical practice are affected by operator-dependent variation. To identify standardized molecular markers that would allow prediction of prognosis, we have used gene expression profiling (GEP) data on CD34+ cells from patients with MDS to determine the relationship between gene expression levels and prognosis.

METHODS

GEP data on CD34+ cells from 125 patients with MDS with a minimum 12-month follow-up since date of bone marrow sample collection were included in this study. Supervised principal components and lasso penalized Cox proportional hazards regression (Coxnet) were used for the analysis.

RESULTS

We identified several genes, the expression of which was significantly associated with survival of patients with MDS, including LEF1, CDH1, WT1, and MN1. The Coxnet predictor, based on expression data on 20 genes, outperformed other predictors, including one that additionally used clinical information. Our Coxnet gene signature based on CD34+ cells significantly identified a separation of patients with good or bad prognosis in an independent GEP data set based on unsorted bone marrow mononuclear cells, demonstrating that our signature is robust and may be applicable to bone marrow cells without the need to isolate CD34+ cells.

CONCLUSIONS

We present a new, valuable GEP-based signature for assessing prognosis in MDS. GEP-based signatures correlating with clinical outcome may significantly contribute to a refined risk classification of MDS.

OBJECTIVE

This review deals with the emerging promises of gene expression profiling (GEP) and the currently accumulating knowledge about the classification and the discovery of novel disease entities in clinical acute myeloid leukemia (AML).

RESULTS

Gene expression profiling studies in AML have shown that known and novel classes of disease can be recognized by unsupervised analyses. Prognostically informative molecular signatures can be deduced. Supervised analyses show that particular clinically relevant subsets of AML can be predicted with high accuracy with minimal sets of genes.

CONCLUSIONS

The AML GEP studies published to date show a remarkable level of concordance in findings, especially for similar GEP platforms. This confirms the robustness of the methodology and the promise for future applicability of GEP in clinical diagnostics. For the time being, certain technical hurdles remain to be overcome. These relate, for instance, to the conversion of data between different GEP platforms, the effect of differences between various statistical clustering methods, and the still incomplete understanding of the effect of biologic (eg, morphology) and genetic factors on the expression signature. GEP analyses, perhaps in combination with high-throughput mutation analysis and proteomic approaches, may ultimately result in the establishment of a comprehensive diagnostic approach that will yield a key to the precise pathobiologic nature of AML.

BACKGROUND

Recent data indicate that gastroenteropancreatic neuroendocrine tumours (GEP-NETs) have a hypomethylated long interspersed element (LINE1) promoter. To answer the question, of whether LINE1 may be of value in assessing the malignant potential of GEP-NETs, we analysed LINE1 methylation in different organs.

METHODS

A total of 58 GEP-NETs of gastric (n=14), pancreatic (n=15), small intestine (n=17), appendix (n=8), colorectal (n=4) and non-neoplastic tissues were analysed using DNA isolation, bisulphite-treatment and pyrosequencing.

RESULTS

LINE1 hypomethylation was detected in 50% of gastric, 100% pancreatic, 82% small intestine, 87.5% appendix and 100% colorectal NETs. G1 (p<0.001) and G2 (p<0.05) colorectal, and G1 (p<0.001) and G2 (p<0.001) pancreatic NETs exhibited significant LINE1 hypomethylation compared with non-neoplastic tissues. Higher rates of LINE1 hypomethylation in G2 pancreatic NETs than in G1 NETs (p<0.05) were observed. NETs exhibited a significantly lower frequency of hypomethylation in cases with lymph node metastases (p<0.05).

CONCLUSIONS

LINE1 hypomethylation may serve as a marker of tumour grade and lymph node metastasis.

The endocrine gastro-entero-pancreatic (GEP) system of 10 human embryos was studied with special reference to neurotensin-immunoreactive cells. These cells are first present in the ileal and jejunal mucosa of 12 to 13 week old embryos. Thereafter the neurotensin-immunoreactive cells are found regularly in these segments of the gut with an increasing number towards the terminal ileum. At about the twentieth week of gestation, the neurotensin cells are detected also in the lower duodenum, i.e. the distribution pattern is more extensive in this age than in younger embryos or in adults.

BACKGROUND

Understanding how grasslands are affected by a long-term increase in temperature is crucial to predict the future impact of global climate change on terrestrial ecosystems. Additionally, it is not clear how the effects of global warming on grassland productivity are going to be altered by increased N deposition and N addition.

RESULTS

In-situ canopy CO(2) exchange rates were measured in a meadow steppe subjected to 4-year warming and nitrogen addition treatments. Warming treatment reduced net ecosystem CO(2) exchange (NEE) and increased ecosystem respiration (ER); but had no significant impacts on gross ecosystem productivity (GEP). N addition increased NEE, ER and GEP. However, there were no significant interactions between N addition and warming. The variation of NEE during the four experimental years was correlated with soil water content, particularly during early spring, suggesting that water availability is a primary driver of carbon fluxes in the studied semi-arid grassland.

CONCLUSIONS

Ecosystem carbon fluxes in grassland ecosystems are sensitive to warming and N addition. In the studied water-limited grassland, both warming and N addition influence ecosystem carbon fluxes by affecting water availability, which is the primary driver in many arid and semiarid ecosystems. It remains unknown to what extent the long-term N addition would affect the turn-over of soil organic matter and the C sink size of this grassland.

BACKGROUND

The polycomb complex protein BMI-1 (BMI-1) is a putative oncogene reported to be overexpressed in multiple myeloma (MM). Silencing of BMI-1 was shown to impair the growth and survival of MM cells. However, therapeutic agents specifically targeting BMI-1 were not available so far. Here, we investigated PTC-209, a novel small molecule inhibitor of BMI-1, for its activity in MM.

METHODS

BMI-1 expression was analysed in human MM cell lines and primary MM cells by using publically available gene expression profiling (GEP) data. The anti-MM activity of PTC-209 was investigated by viability testing, cell cycle analysis, annexin V and 7-AAD staining, quantification of cleaved poly(ADP-ribose) polymerase (PARP), JC-1 as well as colony formation assays. Deregulation of central myeloma growth and survival genes was studied by quantitative PCR and flow cytometry, respectively. In addition, the impact of PTC-209 on in vitro osteoclast, osteoblast and tube formation was analysed.

RESULTS

We confirmed overexpression of BMI-1 in MM patients by using publically available GEP datasets. Of note, BMI-1 expression was further increased at relapse which translated into significantly shorter overall survival in relapsed/refractory patients treated with bortezomib or dexamethasone. Treatment with PTC-209 significantly decreased viable cell numbers in human MM cell lines, induced a G1 cell cycle arrest, promoted apoptosis and demonstrated synergistic activity with pomalidomide and carfilzomib. The anti-MM activity of PTC-209 was accompanied by a significant decrease of cyclin D1 (CCND1) and v-myc avian myelocytomatosis viral oncogene homolog (MYC) expression as well as upregulation of cyclin-dependent kinase inhibitor 1A (CDKN1A) and cyclin-dependent kinase inhibitor 1B (CDKN1B). We also observed upregulation of NOXA (up to 3.6 ± 1.2-fold induction, P = 0.009) and subsequent downregulation of myeloid cell leukemia 1 (MCL-1) protein levels, which likely mediates the apoptotic effects of PTC-209. Importantly, the anti-MM activity was upheld in the presence of stromal support or myeloma growth factors insulin-like growth factor 1 (IGF-1) and interleukin 6 (IL-6). In the MM microenvironment, PTC-209 impaired tube formation, impaired osteoclast development and decreased osteoblast formation in a dose-dependent manner (P < 0.01 at 1 μM, respectively). The latter might be attributed to an induction of DKK1 and was reversed by concurrent anti-DKK1 antibody treatment.

CONCLUSIONS

We confirmed overexpression of BMI-1 in MM highlighting its role as an attractive drug target and reveal therapeutic targeting of BMI-1 by PTC-209 as a promising novel therapeutic intervention for MM.

Since the cloning and characterization of the five human somatostatin receptor (SSTR) subtypes, our understanding of the expression and functional role of the five SSTR subtypes in human (neuro-)endocrine tumors has increased significantly. The majority of human (neuro-)endocrine tumors express multiple SSTR. GH-secreting pituitary adenomas preferentially express SSTR2 and SSTR5, prolactinomas SSTR1 and SSTR5, and corticotroph adenomas express SSTR2 (low number) and predominantly SSTR5s. In addition, gastroenteropancreatic (GEP) neuroendocrine tumors frequently express multiple SSTR as well, with SSTR2 being expressed at the highest level. Treatment with the current generation of octapeptide somatostatin-analogs, e.g. octreotide and lanreotide, normalizes circulating GH- and IGF-I levels in approximately 60-70% of acromegalic patients, thereby remaining about one-third of patients uncontrolled. In patients with GEP neuroendocrine tumors, both somatostatin-analogs effectively suppress the production of bioactive peptides and hormones by the tumor cells, resulting in an important improvement of the related clinical symptomatology. However, a considerable proportion of patients experience an escape from treatment within months to several years. Altogether, the current generation of somatostatin analogs are effective medical tools in the treatment of acromegalic patients and of patients with neuroendocrine GEP tumors, but there is certainly a need for novel somatostatin analogs. In recent years, a significant number of novel somatostatin-ligands has been developed. These ligands include SSTR selective-, bi-specific, universal, as well as chimeric dopamine (DA)-somatostatin ligands. In vitro studies using human pituitary adenoma cells demonstrate a more profound inhibition of GH, PRL and ACTH secretion by somatostatin-analogs targeting both SSTR2s and SSTR5s, compared with SSTR2-preferential somatostatin-analogs. This likely reflects the SSTR subtype expression pattern in the adenoma cells. A first proof-of-concept trial with the more universal somatostatin-ligand SOM230 in 12 acromegalic patients shows that a single dose of SOM230 is effective in suppressing circulating GH concentrations in a significant larger number of patients compared with octreotide. In animal models, SOM230 has a better effect on GH and IGF-I level with less signs of tachyphylaxis compared with octreotide. Depending on the SSTR expression pattern on neuroendocrine GEP tumors, somatostatin-analogs targeting multiple SSTRs may play a future role in the more long-term control of patients with neuroendocrine GEP tumors. The first clinical trial comparing octreotide and SOM230 is ongoing. However, every advantage has its disadvantage. Targeting multiple SSTR potentially induces more adverse effects as well. Especially, glucose homeostasis might induce new problems in the long-term use of universal ligands.

Growth hormone-releasing factor (GRF), a linear peptide that exists in a number of different molecular forms (GRF-44, -40, -37, and-31) has been shown to be responsible for the acromegaly associated with certain endocrine tumors of the pancreas and other foregut-derived structures. With the use of two anti-sera (#1A850 and G59/901) directed against different segments of the GRF molecule, a series of 24 pancreatic and 35 gastrointestinal endocrine tumors, not associated with acromegaly, were surveyed systematically for immunocytochemical localization of GRF in the tumor cells. Strong immunoreactivity for GRF was encountered in 10 tumors (6 pancreatic and 4 gastrointestinal). While all ten tumors were immunoreactive against G59/901, which recognizes GRF-44, -40, and -37, two jejunal carcinoids showed additional immunostaining with 1A850 that is specific for GRF-44. Seven of these ten tumors were also immunoreactive for a variety of other regulatory peptides and neurotransmitters, including gastrin, insulin, glucagon, serotonin, substance P, somatostatin, pancreatic polypeptide, vasoactive intestinal peptide (VIP), and adrenocorticotropic hormone (ACTH). No consistent pattern of association between GRF and the other regulatory substances was evident. These findings indicate that, even in the absence of associated acromegaly, up to 17% of endocrine tumors of the gastro-entero-pancreatic (GEP) axis show immunoreactivity for GRF and that such reactivity is associated more frequently with pancreatic (25%) than with gastrointestinal (11%) endocrine tumors.

Gastroenteropancreatic endocrine tumors (GEP-NETs) are relatively uncommon; comprising approximately 0.5% of all human cancers. Although they often exhibit relatively indolent clinical courses, GEP-NETs have the potential for lethal progression. Due to their scarcity and various technical challenges, GEP-NETs have been understudied. As a consequence, we have few diagnostic, prognostic and predictive biomarkers for these tumors. Early detection and surgical removal is currently the only reliable curative treatment for GEP-NET patients; many of whom, unfortunately, present with advanced disease. Here, we review the genetics and epigenetics of GEP-NETs. The last few years have witnessed unprecedented technological advances in these fields, and their application to GEP-NETS has already led to important new information on the molecular abnormalities underlying them. As outlined here, we expect that "omics" studies will provide us with new diagnostic and prognostic biomarkers, inform the development of improved pre-clinical models, and identify novel therapeutic targets for GEP-NET patients.

The central and visceral nervous systems of the cockroach Periplaneta americana were studied by means of the peroxidase-antiperoxidase immunocytochemical method, with the use of antibody to bovine pancreatic polypeptide (PP). PP-like immunoreactive neuron somata are most numerous in the brain; at least 6 pairs of cell groups occur in clearly defined regions. Three pairs of cells each are also present in the suboesophageal ganglion and the thoracic ganglia, one pair of single cell each in the first abdominal and the frontal ganglia, and 4 to 6 pairs of single cells in the terminal ganglion. No reactive cells were found in the retrocerebral complex and the second to the fifth abdominal ganglia. The axons containing PP-like immunoreactivity issue many branches that are distributed in the entire brain-retrocerebral complex, ventral cord, and visceral nervous system. PP-like immunoreactive material produced in the brain seems to be transported by three routes: protocerebrum to corpora cardiaca (-allata) through the nervi corporis cardiaci, tritocerebrum to visceral nervous system through frontal commissures, and to ventral cord through circumoesophageal connectives. A possible homology between the mammalian brain-GEP (gastro-entero-pancreatic) system and the brain-midgut system of this insect is discussed.

The clinical factors described by the International Prognostic Index (IPI) provide a model for risk stratification in diffuse large B-cell lymphomas (DLBCLs). However, there is variability in outcome within IPI risk groups, indicating the biological and clinical heterogeneity of these diseases. Studies of gene expression profiling (GEP) in DLBCL are uncovering biological heterogeneity with prognostic significance. Various gene expression signatures with predictive value independent of the IPI are now recognized. Immunophenotypic features of DLBCL have also been shown to have prognostic value. The use of fluorodeoxyglucose-positron emission tomography (FDG-PET) scanning may provide additional predictive information when used at diagnosis or soon after initiation of treatment. Future prognostic models in DLBCL are likely to incorporate functional imaging, immunophenotype and GEPs as well as clinical data in risk stratification and choice of treatment. Treatment of relapsed DLBCL remains a major problem. High-dose therapy (HDT) and stem cell transplantation (SCT) has been shown to produce superior overall survival (OS) compared with conventional dose salvage therapy in patients with relapsed, chemosensitive DLBCL. However, only 20% to 30% of patients are cured by this approach, and the effectiveness of HDT and SCT in patients treated with rituximab-based combinations as first-line therapy is unknown. Although new transplant techniques including non-myeloablative allogeneic SCT are being investigated, their role is unclear. New treatment strategies are needed for these patients. The use of molecular techniques such as GEP is identifying many potential new therapeutic targets in DLBCL including histone deacetylase, HLA-DR, bcl-2, bcl-6, mTOR and TRAIL.

Rab3A, a member of the Rab3 small GTP-binding protein (G protein) family, regulates Ca(2+)-dependent exocytosis of neurotransmitter. The cyclical activation and inactivation of Rab3A are essential for the Rab3A action in exocytosis. GDP-Rab3A is activated to GTP-Rab3A by Rab3 GDP/GTP exchange protein (Rab3 GEP), and GTP-Rab3A is inactivated to GDP-Rab3A by Rab3 GTPase-activating protein (Rab3 GAP). We) have found a novel protein, named rabconnectin-3, that is coimmunoprecipitated with Rab3 GEP or GAP from the crude synaptic vesicle fraction of rat brain. Rabconnectin-3 constitutes a subunit structure consisting of alpha and beta subunits and localizes at synaptic vesicles. Overexpression of the C-terminal fragment of rabconnectin-3alpha inhibits Ca(2+)-dependent exocytosis from PC12 cells. We describe the purification method for native rabconnectin-3alpha and -3beta from rat brain and the functional properties of rabconnectin-3alpha in Ca(2+)-dependent exocytosis by use of human growth hormone coexpression assay system of PC12 cells.

Information on genetic changes involved in the progression of gastroenteropancreatic (GEP) endocrine tumours is scanty. On the other hand, the identification of molecular markers of malignancy could be crucial for the prognostic evaluation of these neoplasms, which is hardly predictable on the basis of conventional histological criteria. An association of X-chromosome deletions with malignancy has already been found in gastric endocrine tumours. To investigate this further, a comparative loss of heterozygosity (LOH) analysis was performed on 17 pancreatic endocrine tumours (PETs) and 17 intestinal (ten ileal, six appendiceal, and one rectal) carcinoids from female patients. The relationship of X-chromosome LOH with the ploidy status of the neoplasms was also investigated. LOH was found in six of eight malignant PETs (60% of the informative markers), but was infrequent in the nine benign ones (4.5%). In contrast, although retention of heterozygosity was consistently observed in benign midgut tumours, LOH was infrequent in malignant carcinoids (15%). No correlation was found between LOH and the ploidy status. These results indicate an association between X-chromosome LOH and malignancy in foregut endocrine tumours. The lack of such an association in midgut carcinoids suggests that different molecular mechanisms are involved in the progression of these two categories of endocrine neoplasms, which are otherwise considered to be closely related. These findings emphasize the need for further molecular studies on GEP endocrine tumours, carefully subdivided according to their anatomical site of origin.

Multiple endocrine neoplasia type 1 (MEN1) gastro-entero-pancreatic (GEP) tumours develop from the pancreatic islets and from the endocrine cells of the duodenal and gastric mucosa. Even if GEP tumours have generally a benign course, a subgroup of them shows an aggressive behaviour and is a major cause of death amongst MEN1 patients. Diagnosis of insulinoma should lead promptly to pancreatic surgery. MEN1 gastrinomas are multiple and almost exclusively localized in the duodenum. Cure rate for Zollinger-Ellison syndrome in MEN1 is low when surgery is limited to tumour enucleation or full thickness duodenal wall resection. Conversely, pancreatoduodenectomy is followed by higher chance of cure. For nonfunctioning tumours exceeding 1 cm diameter in size a prompt treatment is recommended due to their high malignant potential. Gastroscopic surveillance is indicated for the frequent occurrence of multiple, small, type 2 fundic carcinoids. Endoscopic removal is possible for lesions growing in the mucosa-submucosa, but partial or even total gastrectomy is recommended for the small number of gastric carcinoids infiltrating the muscular layers.

In the serum of patients with malignant endocrine gastroenteropancreatic (GEP) tumours, both alpha-subunit (alpha-SU), common to all glycoprotein hormones, as well as free beta-subunit of human chorionic gonadotropin (hCG-beta) have been reported to be elevated in a substantial fraction. Both have been discussed as markers of malignancy in these neoplasms. In the present study we evaluated the diagnostic significance of alpha-SU and hCG-beta as serum markers in patients with malignant endocrine gastroenteropancreatic tumours. The study group consisted of 52 patients with endocrine GEP-malignancies (24 nonfunctioning, 23 carcinoid syndromes, four gastrinoma, one glucagonoma), located in the small intestine (n = 29), pancreas (n = 17), colon or rectum (n = 3), retroperitoneum (n = 2) and stomach (n = 1). alpha-SU and hCG-beta immunoreactivity was also assessed in the serum of patients with benign GEP-tumors (five insulinoma, and three gastrinoma). Concentrations of alpha-SU and hCG-beta were determined using two highly sensitive and specific immunoradiometric assays employing two monoclonal antibodies each. In 19 of 52 patients (37%), either alpha-SU (n = 9), hCG-beta (n = 7) or both subunits (n = 3) were elevated. In the subgroup of 24 patients with nonfunctioning GEP-tumours, increased concentrations of either alpha-SU (n = 6) or hCG-beta(n = 3) or both subunits (n = 1) were found in 10 of 24 patients (42%). In four of 23 patients with carcinoid syndrome (17%), either alpha-SU (n = 2), hCG-beta(n = 1) or both subunits (n = 1) were above the normal range.(ABSTRACT TRUNCATED AT 250 WORDS)

OBJECTIVE

To determine the relative sufficiency of paired aspirates of posterior uveal melanomas obtained by FNAB for cytopathology and GEP, and their prognostic significance for predicting death from metastasis.

METHODS

Prospective non-randomized IRB-approved single-center longitudinal clinical study of 159 patients with posterior uveal melanoma sampled by FNAB in at least two tumor sites between 09/2007 and 12/2010. Cases were analyzed with regard to sufficiency of the obtained aspirates for cytopathologic classification and GEP classification. Statistical strength of associations between variables and GEP class was computed using Chi-square test. Cumulative actuarial survival curves of subgroups of these patients based on their cytopathologic versus GEP-assigned categories were computed by the Kaplan-Meier method. The endpoint for this survival analysis was death from metastatic uveal melanoma.

RESULTS

FNAB aspirates were insufficient for cytopathologic classification in 34 of 159 cases (21.9 %). In contrast, FNAB aspirates were insufficient for GEP classification in only one of 159 cases (0.6 %). This difference is statistically significant (P < 0.001). Six of 34 tumors (17.6 %) that yielded an insufficient aspirate for cytopathologic diagnosis were categorized as GEP class 2, while 43 of 125 tumors (34.7 %) that yielded a sufficient aspirate for cytopathologic diagnosis were categorized as GEP class 2. To date, 14 of the 49 patients with a GEP class 2 tumor (28.6 %) but only five of the 109 patients with a GEP class 1 tumor (5.6 %) have developed metastasis. Fifteen of 125 patients (12 %) whose tumors yielded sufficient aspirates for cytopathologic classification but only four of 34 patients (11.8 %) whose tumors yielded insufficient aspirates for cytopathologic classification developed metastasis. The median post-biopsy follow-up time for surviving patients in this series was 32.5 months. Cumulative actuarial 5-year probability of death from metastasis 14.1 % for those with an insufficient aspirate for cytopathologic classification versus 22.4 % for those with a sufficient aspirate for cytopathologic classification (log rank P = 0.68). In contrast, the cumulative actuarial 5-year probability of metastatic death was 8.0 % for those with an insufficient/unsatisfactory aspirate for GEP classification or GEP class 1 tumor, versus 45.0 % for those with a GEP class 2 tumor (log rank P = 0.005).

CONCLUSIONS

This study confirmed that GEP classification of posterior uveal melanoma cells obtained by FNAB is feasible in almost all cases, including most in which FNAB yields an insufficient aspirate for cytodiagnosis. The study also confirmed that GEP classification is substantially better than cytologic classification for predicting subsequent metastasis and metastatic death.

OBJECTIVE

(1) To test whether in genomewide expression profiling differentially expressed genes were also distinct on the protein level including KIT and PDGFRA (2) to correlate the expression with clinicopathological parameters (3) to identify activating mutations that might be eligible for tyrosine kinase inhibitor therapy by mutational analysis of tumors with high expression.

METHODS

Gastroenteropancreatic neuroendocrine tumors (GEP NETs) from 119 patients were analyzed for protein expression of ten biomarkers. Mutational analysis of KIT (exon 9, 13, 11 and 17) and PDGFRA (exons 12 and 18) was performed on those samples that showed high protein expression.

RESULTS

High KIT expression was observed in 13% of all specimens, PDGFRA in 33%, CK19 in 26%, CK7 in 2%, CK20 in 5%, S100 in 6%, CD56 in 25%, Chromogranin in 55%, and Synapthophysin in 80%. High expression of KIT and PDGFRA was significantly correlated with shorter disease-specific survival (P = 0.003, P = 0.018, respectively). In multivariate analysis expression of PDGFRA, radicality of surgical treatment and WHO grading influenced disease-specific 10-year survival independently (P = 0.032, P = 0.001 and P = 0.008, respectively). Mutational analysis of highly expressed specimens (n = 51) reveals a novel mutation of KIT in exon 11 (K558N_V559insP) in a well-differentiated metastatic pancreatic neuroendocrine tumor.

CONCLUSIONS

High expression of KIT and PDGFRA was significantly correlated with shorter patients survival and could serve as prognostic marker. Mutations of the KIT gene might open new avenues for tyrosine kinase inhibitor therapy in a subset of patients with advanced pancreatic neuroendocrine tumors.

BACKGROUND

Gastroenteropancreatic neuroendocrine neoplasms (GEP-NENs) are rare neuroendocrine tumors, and lack of data in Asian populations especially in China. The aim of this retrospective study was to assess the clinical, pathological and prognostic characteristics of GEP-NENs in China.

METHODS

We collected clinical and pathological data of 168 patients diagnosed with GEP-NENs and treated at the First and Second Affiliated Hospitals of Dalian Medical University between January 2003 and December 2012. Kaplan-Meier method and log rank analysis was used to analyze the prognostic significance of clinical and pathological characteristics.

RESULTS

Mean age was 51.83 ± 14.03 and the male-to-female ratio was 1.5:1. Primary sites were the rectum (58.93%), pancreas (13.69%), stomach (9.52%), duodenum (5.36%), colon (4.76%), appendix (4.76%), ileum (2.38%) and jejunum (0.60%). Most patients (95.83%) presented non-functional tumors with non-specific symptoms such as abdominal or back pain (29.17%) and gastrointestinal bleeding (25.60%). Based on the 2010 World Health Organization (WHO) classification, patients were diagnosed with neuroendocrine tumor (NET) (24.40%) or neuroendocrine carcinoma (NEC) (7.14%). The estimated mean survival was 8.94 ± 0.28 years (95% CI: 8.40-9.48). Male gender, young age, small tumor size and NET tumor type were favorable prognostic factors.

CONCLUSIONS

Chinese GEP-NENs patients present characteristics that are similar to American and European patients. However, there is an urgent need to establish a national database for understanding the clinical and epidemiological features of GEP-NENs in China.

OBJECTIVE

Uveal melanoma (UM) can be divided into prognostically significant subgroups based on a prospectively validated and widely used 15-gene expression profile (GEP) test. Class 1 UMs have a low risk and class 2 UMs have a high risk for metastasis.

OBJECTIVE

To determine whether any clinicopathologic factors provide independent prognostic information that may enhance the accuracy of the GEP classification.

METHODS

This retrospective observational study performed at 2 ocular oncology referral centers included 339 patients in a primary cohort and 241 patients in a validation cohort. Both cohorts had a diagnosis of UM arising from the ciliary body and/or choroid. All patients underwent tumor biopsy for GEP prognostic testing. Clinicopathologic variables included patient age and sex, tumor thickness, largest basal tumor diameter (LBD), ciliary body involvement, and pathologic cell type. Patients from the primary cohort were enrolled from November 1, 1998, to March 16, 2012; from the validation cohort, from November 4, 1996, to November 7, 2013. Follow-up for the primary cohort was completed on August 18, 2013; for the validation cohort, December 10, 2013. Data were analyzed from November 12, 2013, to November 25, 2015.

METHODS

Progression-free survival (PFS). The secondary outcome was overall survival.

RESULTS

The primary cohort included 339 patients (175 women [51.6%]; mean [SD] age, 61.8 [13.6] years). The most significant prognostic factor was GEP classification (exp[b], 10.33; 95% CI, 4.30-24.84; P < .001). The only other variable that provided independent prognostic information was LBD (exp[b], 1.13; 95% CI, 1.02-1.26; P = .02). Among class 2 UMs, LBD showed a modest but significant association with PFS (exp[b], 1.13; 95% CI, 1.04-1.24; P = .005). The 5-year actuarial metastasis-free survival estimates (SE) were 97% (3%) for class 1 UMs with LBD of less than 12 mm, 90% (4%) for class 1 UMs with LBD of at least 12 mm, 90% (9%) for class 2 UMs with LBD of less than 12 mm, and 30% (7%) for class 2 UMs with LBDs of at least 12 mm. The independent prognostic value of LBD and the 12-mm LBD cutoff were corroborated in the independent validation 241-patient cohort.

CONCLUSIONS

Class 2 UMs had better prognosis when the LBD was less than 12 mm at the time of treatment. These findings could have important implications for patient counseling, primary tumor treatment, clinical trial enrollment, metastatic surveillance, and adjuvant therapy.

Neuroendocrine tumours (NETs) are rare tumours with an annual incidence in the population in a range of 2-5 new cases per 100,000 inhabitants. NETs are widely variable in terms of anatomical location, hormone production, clinical behaviour and syndromes they can cause. This article reviews the many localizations and clinical presentations of NETs with a main focus on clinical biomarkers and their use in medical practice.

Gastroenteropancreatic neuroendocrine tumors (GEP-NETs) can be challenging to evaluate histologically. MicroRNAs (miRNAs) are small RNA molecules that often are excellent biomarkers due to their abundance, cell-type and disease stage specificity and stability. To evaluate miRNAs as adjunct tissue markers for classifying and grading well-differentiated GEP-NETs, we generated and compared miRNA expression profiles from four pathological types of GEP-NETs. Using quantitative barcoded small RNA sequencing and state-of-the-art sequence annotation, we generated comprehensive miRNA expression profiles from archived pancreatic, ileal, appendiceal and rectal NETs. Following data preprocessing, we randomly assigned sample profiles to discovery (80%) and validation (20%) sets prior to data mining using machine-learning techniques. High expression analyses indicated that miR-375 was the most abundant individual miRNA and miRNA cistron in all samples. Leveraging prior knowledge that GEP-NET behavior is influenced by embryonic derivation, we developed a dual-layer hierarchical classifier for differentiating GEP-NET types. In the first layer, our classifier discriminated midgut (ileum, appendix) from non-midgut (rectum, pancreas) NETs based on miR-615 and -92b expression. In the second layer, our classifier discriminated ileal from appendiceal NETs based on miR-125b, -192 and -149 expression, and rectal from pancreatic NETs based on miR-429 and -487b expression. Our classifier achieved overall accuracies of 98.5% and 94.4% in discovery and validation sets, respectively. We also found provisional evidence that low- and intermediate-grade pancreatic NETs can be discriminated based on miR-328 expression. GEP-NETs can be reliably classified and potentially graded using a limited panel of miRNA markers, complementing morphological and immunohistochemistry-based approaches to histologic evaluation.