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Impact of TP53 mutations in breast cancer: Clinicopathological features and prognosisImpact of TP53 mutations in breast CA

机译:TP53突变在乳腺癌中的影响:乳腺癌中TP53突变的临床病理特征及预测

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BACKGROUND:TP53 is a crucial tumor suppressor gene. However, the mutation pattern of TP53 in Chinese patients with breast cancer has not yet been determined.METHODS:A total of 411 untreated patients with invasive breast cancer diagnosed at Guangdong Provincial People's Hospital (GDPH) between June 2017 to September 2018 were recruited into the study. Mutational alterations in TP53 were detected and correlations between TP53 mutations and clinicopathological features analyzed. Comparative analysis of the data in the GDPH cohort with those in the METABRIC cohort were carried out.RESULTS:A significantly higher rate of TP53 mutations was detected in the GDPH cohort (51.3%) compared with the METABRIC cohort (34.4%) (P? = 25%, HR- and Her2 in breast cancer had higher mutation probability of TP53 (P ?0.001 in the GDPH cohort). Furthermore, receiver operating characteristic (ROC) model combining molecular typing and Ki-67 was established to predict the mutation of TP53, and the AUC was 0.846.CONCLUSIONS:A significantly higher rate of TP53 mutation was detected in the Chinese cohort compared with the METABRIC. Correlation analysis revealed a significant association of TP53 mutation with HR- and HER2 , higher Ki-67 and histological grade in breast cancer patients.? 2020 The Authors. Thoracic Cancer published by China Lung Oncology Group and John Wiley & Sons Australia, Ltd.
机译:背景:TP53是一个关键的肿瘤抑制基因。然而,尚未确定中国乳腺癌患者TP53中TP53的突变模式。方法:2017年6月至2018年6月至2018年9月期间,共有411名未经治疗的侵袭性乳腺癌患者被招募进入学习。检测到TP53中的突变变化,并分析TP53突变与临床病理学特征之间的相关性。与元质群组中的那些对GDPH队列中的数据进行比较分析。结果:与元质量群(34.4%)相比,在GDPH队列(51.3%)中检测到显着较高的TP53突变率(51.3%)(P? = 25%,HR-和HER2在乳腺癌中具有较高的TP53突变概率(GDPH队列中的P <0.001)。此外,建立了组合分子键入和KI-67的接收器操作特征(ROC)模型以预测突变TP53和AUC为0.846.结论:与元质量相比,在中国队列中检测到突变率明显较高。相关性分析表明,HR和HER2,较高的KI-67和组织学揭示了TP53突变的显着关联。乳腺癌患者的等级。?2020作者。由中国肺部肿瘤组发表的胸癌和约翰瓦里和儿子澳大利亚,Ltd。

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