Chromogranin A (CgA) is the most abundant granin in gastroenteropancreatic neuroendocrine tumors (GEP-NETs). As a tumor marker is moderately sensitive and nonspecific. Despite the limitations of testing methods, which require careful interpretation, especially in the case of gastrinomas, patients treated with somatostatin analogues, and poorly differentiated tumors, it is the best tumor marker ...

Gastroenteropancreatic neuroendocrine tumors (GEP-NETs) are the second most prevalent group of advanced gastrointestinal tract tumors. Resources invested in research on this patient population have exponentially increased in recent years, and this has become one of the most attractive fields for oncological research. Several proangiogenic proteins have been found to be overexpressed in GEP-NETs...

Gastroenteropancreatic neuroendocrine tumors (GEP-NETs) are relatively rare and complex neoplasms that present many clinical challenges. Most GEP-NETs are sporadic, but they can be multiple and a component of a familial syndrome. Assessment of the location and extent of GEP-NETs is crucial for management and a number of novel imaging modalities are under evaluation with the principal goal of in...

1 Medical Student, Universidad de Antioquia, Medellín, Colombia. Gastrohepatology Group. Universidad de Antioquia. Medellín, Colombia. email: crivargas@ gmail.com 2 Gastrointestinal Surgeon and Endoscopist, Hospital Pablo Tobón Uribe, Medellín, Colombia. Professor of Surgery, Universidad Pontificia Bolivariana. Medellín, Colombia. Gastrohepatology Group. Universidad de Antioquia, Medellín, Colo...

BACKGROUND Determining the primary site of metastatic cancer with confidence can be challenging. Pathologists commonly use a battery of immunohistochemical (IHC) stains to determine the primary site. Gene expression profiling (GEP) has found increasing use, particularly in the most difficult cases. In this pilot study, a direct comparison between GEP and IHC-guided methods was performed. METH...

Finding functions whose accuracies change significantly between two classes is an interesting work. In this paper, this kind of functions is defined as class contrast functions. As Gene Expression Programming (GEP) can discover essential relations from data and express them mathematically, it is desirable to apply GEP to mining such class contrast functions from data. The main contributions of ...

In this paper, optimal generation expansion planning (GEP) is investigated considering purchase prices, profits of independent power producers (IPPs) and reliability criteria using a new method based on hybrid coded Genetic Algorithm (GA) and Particle Swarm Optimization (PSO). In this approach, optimal purchase price of each IPP is obtained by HCGA and reliability criteria are calculated by PSO...

Gene Expression Programming (GEP) is a new evolutionary algorithm that incorporates both the idea of simple, linear chromosome of fixed length used in Genetic Algorithms (GAs) and the ramified structure of different sizes and shapes used in Genetic Programming (GP). Same as other genetic programming algorithms, GEP has difficulty finding appropriate numeric constants for terminal nodes in the e...

Gastroenteropancreatic neuroendocrine neoplasms (GEP-NENs) are composed of cells with a neuroendocrine phenotype. The old and the new WHO classifications distinguish between well-differentiated and poorly differentiated neoplasms. All well-differentiated neoplasms, regardless of whether they behave benignly or develop metastases, will be called neuroendocrine tumours (NETs), and graded G1 (Ki67...