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The correlation between APOE expression and the clinical characteristics and prognosis of patients with endometrial cancer

To analyze the expression of apolipoprotein E (APOE) in endometrial cancer and its influence on the long-term prognostic survival of endometrial cancer patients. The specimens of tumor tissues and adjacent normal tissues from 96 endometrial cancer patients from January 2013 to December 2015 were inc...

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Detalles Bibliográficos
Autores principales: Wu, Chaoying, Li, Ting, Cheng, Wenjun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9478276/
https://www.ncbi.nlm.nih.gov/pubmed/36123916
http://dx.doi.org/10.1097/MD.0000000000030536
Descripción
Sumario:To analyze the expression of apolipoprotein E (APOE) in endometrial cancer and its influence on the long-term prognostic survival of endometrial cancer patients. The specimens of tumor tissues and adjacent normal tissues from 96 endometrial cancer patients from January 2013 to December 2015 were included in this study. Immunohistochemistry was used to measure the expression of APOE in tumor tissues and adjacent normal tissues. Statistical analysis was used to examine the correlation between APOE expression and the clinicopathological characteristics and survival of patients. Kaplan–Meier survival curve was drawn to study the effects of APOE on the prognosis of patients. The positive rate of APOE in endometrial cancer tissue was higher than that in adjacent normal tissues. The expression level of APOE in endometrial cancer was correlated with histological grade, lymph node metastasis, and FIGO stage (P < .05). Lymph node metastasis and APOE were independent risk factors affecting the prognosis and survival of patients (P < .05). The results of Kaplan–Meier survival analysis showed that the survival time of APOE high expression group was shorter than that of low APOE expression. APOE is overexpressed in endometrial cancer tissues, and its expression level can provide important information for clinical diagnosis and treatment.