The prevalence and associated factors of microsatellite instability in ovarian epithelial cancers detected by molecular genetic studies in a sample of Iranian women

Background: Microsatellite instability, the main genetic element in HNPCC syndrome, is associated with a number of cancers, including ovarian epithelial carcinomas. These cancers have distinct characteristics compared to non-MSI related ones. Objectives: The present study aims at determining the prevalence of microsatellite instability in ovarian carcinomas and their associated factors in Iranian patients. Methods: Paraffin-embedded blocks, belonging to 37 patients with definite diagnosis of ovarian epithelial cancers, were retrieved from the archives. After DNA extraction from tumor tissue and PCR reaction, the results were assessed in accordance with melting curve analysis. Subsequently, the relationship among microsatellite status and tumor histology, grade, stage, and size were investigated statistically. Results: The predominant histological type was serous histology. Four out of 37 carcinomas were microsatellite unstable (10.8) and only 1 was MSI-high type (2.1). The MSI was more frequent among younger patients with unilateral, non-serous histology, non-high grade, and stage I tumors without omental involvement. After statistical analysis, the only significant relationship was found between histological type (non-serous) and microsatellite status. Conclusions: Microsatellite stable and unstable ovarian cancers may have different associations with various factors in a sample of Iranian women. The identification of these characteristics may help narrow down indications to test this prognostic and predictive genetic error. © 2017, Cancer Research Center (CRC), Shahid Beheshti University of Medical Sciences

The prevalence and associated factors of microsatellite instability in ovarian epithelial cancers detected by molecular genetic studies in a sample of Iranian women

Background: Microsatellite instability, the main genetic element in HNPCC syndrome, is associated with a number of cancers, including ovarian epithelial carcinomas. These cancers have distinct characteristics compared to non-MSI related ones. Objectives: The present study aims at determining the prevalence of microsatellite instability in ovarian carcinomas and their associated factors in Iranian patients. Methods: Paraffin-embedded blocks, belonging to 37 patients with definite diagnosis of ovarian epithelial cancers, were retrieved from the archives. After DNA extraction from tumor tissue and PCR reaction, the results were assessed in accordance with melting curve analysis. Subsequently, the relationship among microsatellite status and tumor histology, grade, stage, and size were investigated statistically. Results: The predominant histological type was serous histology. Four out of 37 carcinomas were microsatellite unstable (10.8) and only 1 was MSI-high type (2.1). The MSI was more frequent among younger patients with unilateral, non-serous histology, non-high grade, and stage I tumors without omental involvement. After statistical analysis, the only significant relationship was found between histological type (non-serous) and microsatellite status. Conclusions: Microsatellite stable and unstable ovarian cancers may have different associations with various factors in a sample of Iranian women. The identification of these characteristics may help narrow down indications to test this prognostic and predictive genetic error. © 2017, Cancer Research Center (CRC), Shahid Beheshti University of Medical Sciences

A Study of the Temperature-Based Dynamic Nature of Characteristic Gases in Oil-cellulose Insulation Systems

ABSTRACT Dissolved Gas Analysis (DGA) is a well established method to monitor and predict the condition of devices with oil-cellulose insulation, especially power transformers. However, the effect of the migration of theses gases between the liquid and solid insulation is often ignored. The migration phenomenon is temperature dependent and, if ignored, can potentially lead to erroneous condition assessment by the DGA method. This paper addresses the dynamic nature of propagation of these gases in such systems based on temperature variations. Diffusion times, and therefore diffusivity of the gases, in oil-impregnated cellulose are calculated by identifying the diffusion process as a linear system. The diffusion time-constants, and steady-state condition at the working concentrations, are estimated based on the identified model. A sensitivity study is performed to show the dependency of the diffusion time-constants to the temperature and the oil-cellulose ratio in the system. The equilibrium curves are obtained in the case of carbon dioxide by using solubility information of this gas in the oil and paper pulp, similar to the case of moisture equilibrium. The results are compared with the experimental data. An example of the implication of the obtained data is shown

Corrigendum to �Validation of a next generation sequencing panel for detection of hotspot cancer mutations in a clinical laboratory� Journal information: Pathology-Research and Practice, 2017, Volume 213, Issue 2, Pages: 98-105(S0344033816304277)(10.1016/j.prp.2016.11.016)

The authors regret to change the affiliation �c� to �Pars Advanced and Minimally Invasive Medical Manners Research Center, Pars Hospital, Iran University of Medical Sciences, Tehran, Iran� The authors would like to apologise for any inconvenience caused. DOI of original article: © 2017 Elsevier Gmb

Lafora disease: A case report, pathologic and genetic study

A 19-year-old male patient presented with progressive myoclonic seizures and speech disorder. The patient had photosensitivity, a few episodes of sudden transient blindness, and infrequent complex visual auras, dysarthria and mild ataxia, frequent myoclonic jerks prominently in the legs and severe dementia. Microscopic examination of the axillary skin biopsy revealed periodic acid-Schiff positive inclusion bodies in abluminal side of the apocrine sweat gland acini. Molecular screening showed a homozygous R241X mutation in EPM2A. Genotyping helps in the correct diagnosis of the Lafora disease (LD), which may be difficult to diagnose based on the available histopathological testing only. Our study is an effort to determine the distribution of mutations in LD patients in our region