What oncology nurses need to know: A study of blood markers, clinic pathologic features, and ovarian cancer prognosis
  
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DOI:10.46701/APJBG.2017042017054
KeyWord:nurse, ovarian cancer, clinicopathological feature, blood marker, prognosis
              
AuthorInstitution
Xiaoqin Liu Department of Obstetrics and Gynecology, Nantong University Affiliated Hospital, Nantong, Jiangsu, 226001, China;
Yunzhao Xu Department of Obstetrics and Gynecology, Nantong University Affiliated Hospital, Nantong, Jiangsu, 226001, China;
Yuquan Zhang Department of Obstetrics and Gynecology, Nantong University Affiliated Hospital, Nantong, Jiangsu, 226001, China;
Xiuqun Xu Department of Nursing, Nantong University Affiliated Hospital, Nantong, Jiangsu, 226001, China.
Xujuan Xu Department of Nursing, Nantong University Affiliated Hospital, Nantong, Jiangsu, 226001, China.
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Abstract:
      A better understanding of the factors related to cancer helps health professionals like nurses to provide more individualized health care which will affect the prognosis of patients with ovarian cancer The aim of this study was to analyze the association of clinicopathological features and risk factors with ovarian cancer prognosis. This retrospective study recruited 103 patients with ovarian cancer who were treated at a single institution during the period from May 2002 to May 2014. The blood markers CA125, CA153, and serum ferritin (SF) were detected in all patients before surgery. Risk factors were analyzed using univariate and multivariate logistic regression models and survival analyses were performed using Kaplan–Meier. Menopause was considered to be associated with SF expression levels. The expression of CA125, CA153, and SF were associated with metastasis and FIGO stage. The expression of CA153 was associated with tumor grade. FIGO stage, menopause, expression levels of CA125 and CA153 are associated with poor prognosis in ovarian cancer patients. Through what we have found, nurses should pay attention to these prognostic factors in order to provide optimal nursing care and improve the quality of life of patients with ovarian cancer.
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