scholarly journals Candidate molecules as diagnostic biomarker for human uterine mesenchymal tumors

2020 ◽  
Vol 5 (1) ◽  
pp. 054-057
Author(s):  
T Hayashi ◽  
K Sano ◽  
T Ichimura ◽  
G Gur ◽  
P Yaish ◽  
...  
Author(s):  
Takuma Hayashi ◽  
Akiko Horiuchi ◽  
Nobuo Yaegashi ◽  
Susumu Tonegawa ◽  
Ikuo Konishi

Author(s):  
Gerald Fine ◽  
Azorides R. Morales

For years the separation of carcinoma and sarcoma and the subclassification of sarcomas has been based on the appearance of the tumor cells and their microscopic growth pattern and information derived from certain histochemical and special stains. Although this method of study has produced good agreement among pathologists in the separation of carcinoma from sarcoma, it has given less uniform results in the subclassification of sarcomas. There remain examples of neoplasms of different histogenesis, the classification of which is questionable because of similar cytologic and growth patterns at the light microscopic level; i.e. amelanotic melanoma versus carcinoma and occasionally sarcoma, sarcomas with an epithelial pattern of growth simulating carcinoma, histologically similar mesenchymal tumors of different histogenesis (histiocytoma versus rhabdomyosarcoma, lytic osteogenic sarcoma versus rhabdomyosarcoma), and myxomatous mesenchymal tumors of diverse histogenesis (myxoid rhabdo and liposarcomas, cardiac myxoma, myxoid neurofibroma, etc.)


2018 ◽  
pp. 3-14

Gastrointestinal stromal tumors (GIST) are the most common mesenchymal tumors of the digestive tract (1%). These tumors express the CD 117 in 95% of cases. The stomach is the preferential localization (70%). Diagnosis is difficult and sometimes late. Progress of imaging has greatly improved the management and the prognosis. Computed tomography (CT) is the gold standard for diagnosis, staging, and treatment follow-up. The increasing recognition of GIST’s histopathology and the prolonged survival revealed some suggestive imaging aspects. Key words: gastro-intestinal stromal tumors; computed tomography; diagnosis


2019 ◽  
Author(s):  
Julia Krupinova ◽  
Natalia Mokrysheva ◽  
Vasiliy Petrov ◽  
Ekaterina Pigarova ◽  
Anatoliy Tiulpakov ◽  
...  
Keyword(s):  

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