Department of Breast Surgery, Jiangsu Province Hospital, The First Hospital Affiliated Hospital with Nanjing Medical University, Nanjing 210029, China.
Department of emergency, Changsha Central Hospital, The Affiliated Changsha Central Hospital of Hengyang Medical School, University of South China, Changsha 410004, China.
Aging (Albany NY). 2022 Aug 29;14(16):6780-6795. doi: 10.18632/aging.204253.
Breast cancer (BC) is the most frequent cancer diagnosed in women throughout the world. The purpose of this study was to explore new biomarkers for breast cancer diagnosis. CyclinB1 (CCNB1) is found in abundance in a wide range of human malignancies.
We evaluated the transcriptional, survival data and expression levels in tissue data of CCNB1 in patients with breast cancer from the Gene Expression Omnibus (GEO), The Cancer Genome Atlas (TCGA), The Human Protein Atlas (THAP) and Genome Tissue Expression (GTEx) database. A series of in silico analyses were used to investigate at noncoding RNAs (ncRNAs), gene ontology (GO) annotation analysis, Kyoto Encyclopedia of Genes and Genomes (KEGG), and the Protein-Protein Interaction (PPI) network. A quantitative real-time polymerase chain reaction (qRT-PCR) was used to validate CCNB1 in BC cell lines.
CCNB1 expression was higher in BC tissues than in normal breast tissues. It was significantly related to survival time, tumor mutation burden (TMB), methylated, immune cell infiltration, and the expressed in estrogen receptor (ER) (-), lymphnode (+), and p53 (+) groups in BC. Moreover, The AC026401.3/CCNB1-miR-139-5p axis was discovered as the most promising upstream ncRNA-related pathway of CCNB1 in BC.
CCNB1 can be used as an independent predictive factor for BC, indicating that this would be a target for highly precise therapy and a biomarker for the disease.
乳腺癌（BC）是全球女性中最常见的癌症。本研究旨在探索乳腺癌诊断的新生物标志物。细胞周期蛋白 B1（CCNB1）在广泛的人类恶性肿瘤中大量存在。
我们评估了来自基因表达综合数据库（GEO）、癌症基因组图谱（TCGA）、人类蛋白质图谱（THAP）和基因组组织表达（GTEx）数据库中乳腺癌患者的 CCNB1 的转录本、生存数据和组织数据中的表达水平。使用一系列计算机分析来研究非编码 RNA（ncRNA）、基因本体论（GO）注释分析、京都基因与基因组百科全书（KEGG）和蛋白质-蛋白质相互作用（PPI）网络。使用实时定量聚合酶链反应（qRT-PCR）验证 BC 细胞系中的 CCNB1。
CCNB1 在 BC 组织中的表达高于正常乳腺组织。它与生存时间、肿瘤突变负担（TMB）、甲基化、免疫细胞浸润以及 BC 中的雌激素受体（ER）（-）、淋巴结（+）和 p53（+）表达显著相关。此外，发现 AC026401.3/CCNB1-miR-139-5p 轴是 BC 中 CCNB1 最有前途的上游 ncRNA 相关途径。
CCNB1 可作为 BC 的独立预测因子，表明这将是高度精确治疗的靶点和疾病的生物标志物。
