Apoptotic intrinsic pathway proteins predict survival in canine cutaneous mast cell tumours
| Autor: | Karine Germano Cadrobbi, José Luiz Catão-Dias, Adriana Tomoko Nishiya, Greice Cestari Huete, José Guilherme Xavier, Camila Neri Barra, Ricardo de Francisco Strefezzi, Bruna Mutt de Macedo, Lidia Hildebrand Pulz, Silvia Regina Kleeb, Heidge Fukumasu |
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| Rok vydání: | 2017 |
| Předmět: |
Programmed cell death
General Veterinary 040301 veterinary sciences business.industry medicine.medical_treatment Cancer 04 agricultural and veterinary sciences Malignancy medicine.disease Mast cell 0403 veterinary science Radiation therapy 03 medical and health sciences 0302 clinical medicine medicine.anatomical_structure Apoptosis 030220 oncology & carcinogenesis medicine Cancer research Immunohistochemistry APAF1 business |
| Zdroj: | Veterinary and Comparative Oncology. 16:E38-E44 |
| ISSN: | 1476-5810 |
| Popis: | Mast cell tumours (MCTs) are the most frequent canine round cell neoplasms and show variable biological behaviours with high metastatic and recurrence rates. The disease is treated surgically and wide margins are recommended. Adjuvant chemotherapy and radiotherapy used in this disease cause DNA damage in neoplastic cells, which is aimed to induce apoptotic cell death. Resisting cell death is a hallmark of cancer, which contributes to the development and progression of tumours. The aim of this study was to investigate the expression of the proteins involved in the apoptotic intrinsic pathway and to evaluate their potential use as prognostic markers for canine cutaneous MCTs. Immunohistochemistry for BAX, BCL2, APAF1, Caspase-9, and Caspase-3 was performed in 50 canine cases of MCTs. High BAX expression was associated with higher mortality rate and shorter survival. BCL2 and APAF1 expressions offered additional prognostic information to the histopathological grading systems. The present results indicate that variations in the expression of apoptotic proteins are related to malignancy of cutaneous MCTs in dogs. |
| Databáze: | OpenAIRE |
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