S100家族mRNA表达在卵巢癌中的预后价值。

IF 1.9
Nan Ma, Lizhe Zhu, Liu Yang, Yuxin Cui, Yingzhuan Zhan
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引用次数: 13

摘要

S100家族由至少20个钙结合蛋白组成,这些蛋白参与许多细胞过程。个别S100成员在卵巢癌患者中的预后价值尚不清楚。在这项研究中,我们对S100在卵巢癌中的预后价值进行了详细的评估。通过Oncomine分析S100家族在各种癌症中的mRNA表达水平,通过String分析S100家族的蛋白-蛋白相互作用网络。采用Kaplan-Meier Plotter对S100成员个体的预后价值进行评估。通过cBioProtal分析S100家族基因的表达和突变。我们观察到,与正常组织相比,大多数S100家族mRNA在卵巢癌中过表达。在Kaplan-Meier Plotter的生存分析中,S100家族的10个成员与卵巢癌患者的总生存有显著相关性。在不同亚型和病理分级中,S100成员个体的高表达趋势几乎相同。然而,S100家族基因的表达和突变对卵巢癌患者的总生存期和无病生存期没有显著的预后价值。虽然这些结果还需要更多的临床试验和基础实验的验证,但我们的研究为S100家族在卵巢癌中的预后功能提供了新的见解,并可能促进S100靶向抑制剂的开发,用于卵巢癌的新治疗。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Prognostic values of S100 family mRNA expression in ovarian cancer.

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.

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