Department of Biology, Faculty of Basic Sciences, Shahrekord Branch, Islamic Azad University, Shahrekord, Iran.
Biotechnology Research Center, Shahrekord Branch, Islamic Azad University, Shahrekord, Iran.
Mol Biol Rep. 2024 Jun 1;51(1):707. doi: 10.1007/s11033-024-09643-x.
Non-coding RNAs (ncRNAs) have a crucial impact on diverse cellular processes, influencing the progression of breast cancer (BC). The objective of this study was to identify novel ncRNAs in BC with potential effects on patient survival and disease progression.
We utilized the cancer genome atlas data to identify ncRNAs associated with BC pathogenesis. We explored the association between these ncRNA expressions and survival rates. A risk model was developed using candidate ncRNA expression and beta coefficients obtained from a multivariate Cox regression analysis. Co-expression networks were constructed to determine potential relationships between these ncRNAs and molecular pathways. For validation, we employed BC samples and the RT-qPCR method.
Our findings revealed a noteworthy increase in the expression of AC093850.2 and CHCHD2P9 in BC, which was correlated with a poor prognosis. In contrast, ADAMTS9-AS1 and ZNF204P displayed significant downregulation and were associated with a favorable prognosis. The risk model, incorporating these four ncRNAs, robustly predicted patient survival. The co-expression network showed an effective association between levels of AC093850.2, CHCHD2P9, ADAMTS9-AS1, and ZNF204P and genes involved in pathways like metastasis, angiogenesis, metabolism, and DNA repair. The RT-qPCR results verified notable alterations in the expression of CHCHD2P9 and ZNF204P in BC samples. Pan-cancer analyses revealed alterations in the expression of these two ncRNAs across various cancer types.
This study presents a groundbreaking discovery, highlighting the substantial dysregulation of CHCHD2P9 and ZNF204P in BC and other cancers, with implications for patient survival.
非编码 RNA（ncRNAs）对多种细胞过程有至关重要的影响，影响乳腺癌（BC）的进展。本研究的目的是鉴定具有影响患者生存和疾病进展潜力的 BC 中的新型 ncRNAs。
我们利用癌症基因组图谱数据来鉴定与 BC 发病机制相关的 ncRNAs。我们探索了这些 ncRNA 表达与生存率之间的关联。使用候选 ncRNA 表达和多元 Cox 回归分析获得的β系数开发了风险模型。构建了共表达网络，以确定这些 ncRNAs 与分子途径之间的潜在关系。为了验证，我们使用了 BC 样本和 RT-qPCR 方法。
我们的研究结果显示，AC093850.2 和 CHCHD2P9 在 BC 中表达显著增加，与预后不良相关。相比之下，ADAMTS9-AS1 和 ZNF204P 显示出明显的下调，与预后良好相关。该风险模型纳入了这四个 ncRNAs，能够稳健地预测患者的生存情况。共表达网络显示，AC093850.2、CHCHD2P9、ADAMTS9-AS1 和 ZNF204P 的水平与参与转移、血管生成、代谢和 DNA 修复等途径的基因之间存在有效的关联。RT-qPCR 结果验证了 CHCHD2P9 和 ZNF204P 在 BC 样本中的表达有明显变化。泛癌症分析显示，这两个 ncRNAs 在各种癌症类型中的表达都发生了改变。
本研究提出了一项开创性的发现，强调了 CHCHD2P9 和 ZNF204P 在 BC 和其他癌症中的显著失调，这对患者的生存有影响。
