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BJOG ; 125(13): 1695-1703, 2018 Dec.
Artigo em Inglês | MEDLINE | ID: mdl-29989298

RESUMO

OBJECTIVE: Correct preoperative identification of high-risk patients is important to optimise surgical treatment and improve survival. We wanted to explore if asparaginase-like protein 1 (ASRGL1) expression in curettage could predict lymph node metastases and poor outcome, potentially improving preoperative risk stratification. DESIGN: Multicentre study. SETTING: Ten hospitals in Norway, Sweden and Belgium. POPULATION: Women diagnosed with endometrial carcinoma. METHODS: ASRGL1 expression in curettage specimens from 1144 women was determined by immunohistochemistry. MAIN OUTCOME MEASURES: ASRGL1 status related to disease-specific survival, lymph node status, preoperative imaging parameters and clinicopathological data. RESULTS: ASRGL1 expression had independent prognostic value in multivariate survival analyses, both in the whole patient population (hazard ratio (HR) 1.63, 95% CI 1.11-2.37, P = 0.012) and in the low-risk curettage histology subgroup (HR 2.54, 95% CI 1.44-4.47, P = 0.001). Lymph node metastases were more frequent in women with low expression of ASRGL1 compared with women with high ASRGL1 levels (23% versus 10%, P < 0.001), and low ASRGL1 level was found to independently predict lymph node metastases (odds ratio 2.07, 95% CI 1.27-3.38, P = 0.003). CONCLUSIONS: Low expression of ASRGL1 in curettage independently predicts lymph node metastases and poor disease-specific survival. TWEETABLE ABSTRACT: Low ASRGL1 expression in curettage predicts lymph node metastasis and poor survival in endometrial carcinoma.


Assuntos
Asparaginase/metabolismo , Autoantígenos/metabolismo , Carcinoma/metabolismo , Carcinoma/secundário , Neoplasias do Endométrio/metabolismo , Neoplasias do Endométrio/patologia , Idoso , Carcinoma/cirurgia , Curetagem , Neoplasias do Endométrio/cirurgia , Feminino , Humanos , Metástase Linfática , Valor Preditivo dos Testes , Prognóstico , Intervalo Livre de Progressão , Modelos de Riscos Proporcionais , Medição de Risco/métodos , Taxa de Sobrevida
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