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Article type: Research Article
Authors: Ma, Nana | Zhu, Lizheb | Yang, Liua | Cui, Yuxina | Zhan, Yingzhuana; *
Affiliations: [a] School of Pharmacy, Health Science Center, Xi’an Jiaotong University, Xi’an, Shaanxi, China | [b] Department of Breast Surgery, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, Shaanxi, China
Correspondence: [*] Corresponding author: Yingzhuan Zhan, School of Pharmacy, Health Science Center, Xi’an Jiaotong University, 76 Yanta Western Road, Xi’an, Shaanxi 710061, China. E-mail: zyzlt2009@xjtu.%****␣cbm-25-cbm182276_temp.tex␣Line␣25␣****edu.cn.
Abstract: S100 family is made up of at least 20 calcium-binding proteins which are involved in many cellular processes. The prognostic values of individual S100 member in ovarian cancer patients are still unknown. In this study, we performed a detailed prognostic values of S100 in ovarian cancer. The mRNA expression levels of S100 family in various cancers were analyzed via the Oncomine, and the protein-protein interaction network of S100 family was analyzed via String. The prognostic values of individual S100 member were evaluated via Kaplan-Meier Plotter. The S100 family genes expression and mutation were analyzed via cBioProtal. We observed that the mRNA expression of most S100 family were overexpressed in ovarian cancer compared with normal tissues. In survival analysis in Kaplan-Meier Plotter, 10 members of S100 family showed significant correlation with overall survival in ovarian cancer patients. The trends of high expression of individual S100 members were nearly the same in different subtype and pathological grades. However, the S100 family genes expression and mutation showed no significant prognostic values in overall survival and disease free survival in ovarian cancer patients. Although, the results need more verification both in clinical trials and fundamental experiments, our study provide new insights for the prognostic function of S100 family in ovarian cancer and might promote development of S100 targeted inhibitors for the new treatment of ovarian cancer.
Keywords: S100, ovarian cancer, mRNA, prognosis, KM-plotter
DOI: 10.3233/CBM-182276
Journal: Cancer Biomarkers, vol. 25, no. 1, pp. 67-78, 2019
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