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http://hdl.handle.net/11452/32647
Title: | Immunohistochemical detection of p53 and MDM2 expressions in liposarcoma with World health organization classification |
Authors: | Arıcı, Akgül Özgür, Tümay Uludağ Üniversitesi/Tıp Fakültesi/Patoloji Anabilim Dalı. Uǧraş, Nesrin Yalçınkaya, Ulviye AAH-8924-2021 AAH-2716-2021 55386535600 6508300295 |
Keywords: | Oncology Liposarcoma MDM2 p53 World health organization classification Gene amplification Cell liposarcoma Tumors Prognosis Patterns |
Issue Date: | 2013 |
Publisher: | Wolters Kluwer Medknow Publications |
Citation: | Arıcı, A. (2013). “Immunohistochemical detection of p53 and MDM2 expressions in liposarcoma with World health organization classification”. Indian Journal of Cancer, 50(3), 164-169. |
Abstract: | Background: Liposarcomas are among the most common soft tissue sarcomas in adulthood. Aim: The purpose of the study is to perform a histopathologic typing according to World Health Organization (WHO) classification of cases diagnosed with liposarcoma and to examine the difference of p53 and MDM2 expressions. Materials and Methods: The haematoxylin-eosin stained sections of 48 subjects enrolled in the study have been evaluated on the basis of the WHO classification for liposarcoma and sections stained using p53 and MDM2. Statistical Analysis Used: Chi-Square test was applied. Results: 20 subjects were diagnosed with well-differentiated liposarcoma (WLS), 16 myxoid liposarcoma (ML), 7 pleomorphic liposarcoma (PL), and 5 de-differentiated liposarcoma (DLS). The number of cases stained positive with MDM2 and p53 were positive correlated in all subjects (P = 0.02). p53 and MDM2 positivity increased in high grade tumors (P = 0.01). Conclusion: p53 and MDM2 immuno-reactivity was found to be potentially useful in liposarcoma diagnosis but a definitive implication would be rather unhealthy due to the small number of cases in our study. |
URI: | https://doi.org/10.4103/0019-509X.118717 http://hdl.handle.net/11452/32647 |
ISSN: | 0019-509X 1998-4774 |
Appears in Collections: | Scopus Web of Science |
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