Predicting Lymph Node Metastasis in Endometrial Cancer Using Serum CA125 Combined with Immunohistochemical Markers PR and Ki67, and a Comparison with Other Prediction Models

Bingyi Yang, Boer Shan, Xiaohong Xue, Huaying Wang, Weiwei Shan, Chengcheng Ning, Qiongjie Zhou, Xiaojun Chen and Xuezhen Luo

PLOS ONE, 2016, vol. 11, issue 5, 1-12

Abstract: We aimed to evaluate the value of immunohistochemical markers and serum CA125 in predicting the risk of lymph node metastasis (LNM) in women with endometrial cancer and to identify a low-risk group of LNM. The medical records of 370 patients with endometrial endometrioid adenocarcinoma who underwent surgical staging in the Obstetrics & Gynecology Hospital of Fudan University were collected and retrospectively reviewed. Immunohistochemical markers were screened. A model using serum cancer antigen 125 (CA125) level, the immunohistochemical markers progesterone receptor (PR) and Ki67 was created for prediction of LNM. A predicted probability of 4% among these patients was defined as low risk. The developed model was externally validated in 200 patients from Shanghai Cancer Center. The efficiency of the model was compared with three other reported prediction models. Patients with serum CA125 50% and Ki67

Date: 2016
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0155145

DOI: 10.1371/journal.pone.0155145

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