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生物信息学分析揭示基因在乳腺癌中的预后意义。

Bioinformatics analysis revealing prognostic significance of gene in breast cancer.

机构信息

Department of Breast Surgery, The Affiliated Changzhou No. 2 People's Hospital of Nanjing Medical University, Changzhou 213000, Jiangsu Province, China

Graduate School of Nanjing Medical University, Nanjing 210000, Jiangsu Province, China.

出版信息

Biosci Rep. 2019 Apr 9;39(4). doi: 10.1042/BSR20182062. Print 2019 Apr 30.

Abstract

Ribonucleotide reductase M2 subunit () plays vital roles in many cellular processes such as cell proliferation, invasiveness, migration, angiogenesis, senescence, and tumorigenesis. However, the prognostic significance of gene in breast cancer remains to be investigated. expression was initially evaluated using the Oncomine database. The relevance between level and clinical parameters as well as survival data in breast cancer was analyzed using the Kaplan-Meier Plotter, PrognoScan, and Breast Cancer Gene-Expression Miner (bc-GenExMiner) databases. was overexpressed in different subtypes of breast cancer patients. Estrogen receptor (ER) and progesterone receptor (PR) were negatively correlated with expression. Conversely, the Scarff-Bloom-Richardson (SBR) grade, Nottingham prognostic index (NPI), human epidermal growth factor receptor-2 (HER-2) status, nodal status, basal-like status, and triple-negative status were positively related to level in breast cancer samples with respect to normal tissues. Patients with increased showed worse overall survival, relapse-free survival, distant metastasis-free survival, disease-specific survival, and disease-free survival. also exerted positive effect on metastatic relapse event. Besides, a positive correlation between and genes was confirmed. Bioinformatics analysis revealed that might be used as a predictive biomarker for prognosis of breast cancer. Further studies are needed to more precisely elucidate the value of in evaluating breast cancer prognosis.

摘要

核糖核苷酸还原酶 M2 亚基 () 在许多细胞过程中发挥着重要作用,如细胞增殖、侵袭、迁移、血管生成、衰老和肿瘤发生。然而, 基因在乳腺癌中的预后意义仍有待研究。首先使用 Oncomine 数据库评估 表达。使用 Kaplan-Meier Plotter、PrognoScan 和 Breast Cancer Gene-Expression Miner (bc-GenExMiner) 数据库分析 水平与乳腺癌临床参数和生存数据的相关性。 在不同亚型的乳腺癌患者中均过表达。雌激素受体 (ER) 和孕激素受体 (PR) 与 表达呈负相关。相反,Scarff-Bloom-Richardson (SBR) 分级、诺丁汉预后指数 (NPI)、人表皮生长因子受体 2 (HER-2) 状态、淋巴结状态、基底样状态和三阴性状态与乳腺癌样本中 水平相对于正常组织呈正相关。 水平升高的患者总生存期、无复发生存期、无远处转移生存期、疾病特异性生存期和无病生存期较差。 还对转移性复发事件产生积极影响。此外,还证实了 与 基因之间存在正相关。 生物信息学分析表明, 可能可作为预测乳腺癌预后的生物标志物。需要进一步研究以更精确地阐明 评估乳腺癌预后的价值。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ec5c/6454020/a3915f69a28d/bsr-39-bsr20182062-g1.jpg

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