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CD146 as an adverse prognostic factor in uterine sarcoma

Overview of attention for article published in European Journal of Medical Research, August 2015
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Title
CD146 as an adverse prognostic factor in uterine sarcoma
Published in
European Journal of Medical Research, August 2015
DOI 10.1186/s40001-015-0160-2
Pubmed ID
Authors

Yun Zhou, He Huang, Lin-Jing Yuan, Ying Xiong, Xin Huang, Jia-Xin Lin, Min Zheng

Abstract

Uterine sarcoma is an aggressive malignancy with a poor prognosis. This study aimed to determine the expression of CD146, P53, and Ki-67 in uterine sarcoma and to evaluate their prognostic significance. We retrospectively analyzed the prognosis and clinicopathologic features of 68 patients with uterine sarcoma. Immunohistochemical analyses of CD146, P53, and Ki-67 were performed in tissue samples collected from these patients and their relationship with prognosis was investigated. The 5-year overall survival (OS) rate was 46 %. Endometrial stromal sarcoma (ESS) patients had a better prognosis than leiomyosarcoma (LMS) patients, with a 2-year survival rate of 82 %. The membrane and cytoplasm of tumor cells exhibited CD146 overexpression in 8 (32 %) ESS cases, which was less than the 25 (69.4 %) cases observed in LMS and 2 (28.6 %) in MMMT. CD146 overexpression in the membrane and cytoplasm of tumor cells was closely related to lymph node metastasis (P = 0.021) and Ki-67 overexpression (P = 0.0053); there was no significant correlation with age, tumor size, International Federation of Obstetrics and Gynecology stage, or P53 overexpression in LMS. CD146, P53, and Ki-67 are overexpressed in uterine sarcoma. CD146 expression correlates with lymph node metastasis and is associated with poor OS in LMS; it may be a potential prognostic marker for LMS.

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The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 12%
Other 3 12%
Student > Bachelor 3 12%
Student > Master 3 12%
Professor 1 4%
Other 4 16%
Unknown 8 32%
Readers by discipline Count As %
Medicine and Dentistry 6 24%
Agricultural and Biological Sciences 4 16%
Immunology and Microbiology 3 12%
Biochemistry, Genetics and Molecular Biology 2 8%
Computer Science 1 4%
Other 0 0%
Unknown 9 36%