Use of Napsin-A, TTF-1, ER, GCDFP-15, GATA-3 and GATA-3 Markers to Differentiate Breast Metastasis from Lung Adenocarcinoma

Background and Aim: Breast carcinomas with metastasis to lungs and primary lung adenocarcinomas have significant overlap. This study aimed to investigate the differential expression of a panel of IHC markers in primary lung adenocarcinomas and invasive ductal carcinomas (IDC) of the breast. Methods: In this cross sectional study, total of 50 specimens including 25 primary lung adenocarcinomas and 25 invasive ductal carcinomas of the breast were collected from Masih Daneshvari and Shohada-e-Tajrish hospitals. After all of the cases were stained with hematoxylin - and - eosin, the histologic diagnosis and grading of the slides were reviewed and reported by experienced pathologists based on standard classifications. The patients’ medical records were reviewed for demographic data, clinical information and histopathologic reports. Results: The median age of the patients with lung adenocarcinoma and IDC was 59 (32-78) and 50 (35-74) years, respectively. In this study, regarding lung adenocarcinomas, the most common type was acinar (56%), followed by solid (20%), mucinous (16%), lepidic (4%), and colloid (4%). Immunohistochemical expression for Napsin-A, TTF-1, ER, GCDFP-15, and GATA-3 in primary lung adenocarcinomas and invasive ductal carcinomas of the breast were different. Conclusion: Napsin-A, TTF-1, ER, GCDFP-15, GATA-3 and GATA-3 Markers can differentiate the breast cancer from lung adenocarcinoma. Napsin-A and TTF1 only present in lung adenocarcinoma

A Model for the Assessment of Organizational Dashboard Development Using Business Intelligence Logic in Organizations

Organizational Dashboard is a tool full of rich indicators, reports, and graphs that dynamically acts to help managers to control the performance of their organization at any time. For data productivity, using Business Intelligence(BI) logic is inevitable. BI is a system in which different, dispersed and heterogeneous data of an organization is integrated and through the establishment of analytical database for managers to make decisions. This study is a developmental and practical research. After reviewing literature and interviewing with 38 experts in universities and organizations, organizational dashboard developmental factors with the business intelligence logic were presented that were 357 codes. Using content analysis and focus group methods, these codes were grouped into 24 based content and 7 organizer contents. In the next step, in two distinct stages, using interpretative structural modeling method, the modeling of the basic themes and the organizing content separately and considering the consistency of the two models, their integration and creation of the final model of evaluation of the development of organizational dashboard with the logic of business intelligence has been made. This can be a precise roadmap for organizations to design and implement this system