Department of Breast Surgery, The Affiliated Changzhou No.2 People's Hospital of Nanjing Medical University, Changzhou 213000, Jiangsu Province, China
Post-doctoral Working Station, The Affiliated Changzhou No.2 People's Hospital of Nanjing Medical University, Changzhou 213000, Jiangsu Province, China.
Biosci Rep. 2019 Mar 22;39(3). doi: 10.1042/BSR20190285. Print 2019 Mar 29.
Tripartite motif 13 () plays a significant role in various biological processes including cell growth, apoptosis, transcriptional regulation, and carcinogenesis. However, the prognostic significance of gene in breast cancer treatment remains largely unclear. We performed a bioinformatics analysis of the clinical parameters and survival data as it relates to in breast cancer patients using several online databases including Oncomine, bcGenExMiner, PrognoScan, and UCSC Xena. We found that was lower-expressed in different subtypes of breast cancer with respect to normal tissues. Estrogen receptor and progesterone receptor status were positively correlated with level; whereas, the Scarff-Bloom-Richardson grade, Nottingham prognostic index, nodal status, basal-like status, and triple-negative status were negatively related to expression in breast cancer patients with respect to normal individuals. Lower expression correlated with worse distant metastasis free survival, relapse free survival, disease specific survival, and metastatic relapse free survival. We also confirmed a positive correlation between and gene expression. Bioinformatics analysis revealed that may be adopted as a promising predictive biomarker for prognosis of breast cancer. More in-depth experiments and clinical trials are needed to validate the value of in breast cancer treatment.
三结构域蛋白 13() 在多种生物学过程中发挥重要作用，包括细胞生长、细胞凋亡、转录调控和致癌作用。然而， 基因在乳腺癌治疗中的预后意义尚不清楚。我们使用包括 Oncomine、bcGenExMiner、PrognoScan 和 UCSC Xena 在内的多个在线数据库，对乳腺癌患者的临床参数和生存数据进行了生物信息学分析。我们发现，与正常组织相比， 在不同亚型的乳腺癌中表达较低。雌激素受体和孕激素受体状态与 水平呈正相关；而 Scarff-Bloom-Richardson 分级、诺丁汉预后指数、淋巴结状态、基底样状态和三阴性状态与乳腺癌患者的 表达相对于正常个体呈负相关。较低的 表达与较差的远处无转移生存、无复发生存、疾病特异性生存和转移性无复发生存相关。我们还证实了 与 基因表达之间存在正相关。生物信息学分析表明， 可能被用作预测乳腺癌预后的有前途的生物标志物。需要更多深入的实验和临床试验来验证 在乳腺癌治疗中的价值。
