Sadeghi Ensieh Sagheb, Bioky Zahra Amrollahy, Hokmabadi Mahsa, Asadollahi Samira, Sarhadi Fatemeh, Dolatabadi Nasrin Fattahi, Zamani Atefeh, Mahdevar Mohammad, Peymani Maryam
Department of Biology, Neyshabur Branch, Islamic Azad University, Neyshabur, Iran.
Gene Raz Bu Ali, Genetic and Biotechnology Academy, Isfahan, Iran.
Iran J Public Health. 2025 May;54(5):1074-1086. doi: 10.18502/ijph.v54i5.18642.
This study aimed to find pseudogenes with significant expression alterations in gastric cancer (GC) that could be implicated in the disease's development via the competing endogenous RNAs (ceRNAs) network.
Pseudogenes, mRNAs, and microRNAs, whose expression changes considerably in GC specimens, were identified using the Cancer Genome Atlas (TCGA) data from 2006 to 2017 (USA). The ceRNAs network was constructed using the miRWalk, miRTarBase, and DIANA-LncBase. The cox regression test was performed to assess the correlation between candidate genes and patient prognosis. Finally, using the RT-qPCR method, the in-silico results were evaluated using GC samples and adjacent normal. Samples were collected from Imam Khomeini Hospital in Tehran (Iran) between 2020 and 2021.
In the cancer samples compared to the normal ones, there were 86 miRNAs, 1985 mRNAs, and 33 pseudogenes showing expression alterations, either more than or less than a twofold difference. Constructed ceRNA network demonstrated that pseudogenes such as , , and were most connected to changed mRNAs and microRNAs in GC. The analysis of the ceRNA network for each of the mentioned pseudogenes indicated that the associated mRNAs play roles in cell proliferation, inflammation, and metastatic pathways. Furthermore, elevated expression of several mRNAs linked to potential pseudogenes was linked to a poor prognosis. RT-qPCR revealed a significant increase in the expression levels of , , and in GC samples.
The expression of , , and is dramatically enhanced in GC. They can also influence the survival rate of GC patients by regulating pathways involved in cell proliferation, inflammation, and metastasis via the ceRNAs network.
本研究旨在寻找在胃癌（GC）中具有显著表达改变的假基因，这些假基因可能通过竞争性内源RNA（ceRNA）网络参与该疾病的发展。
利用2006年至2017年美国癌症基因组图谱（TCGA）数据，鉴定在GC标本中表达变化显著的假基因、mRNA和微小RNA。使用miRWalk、miRTarBase和DIANA-LncBase构建ceRNA网络。进行cox回归检验以评估候选基因与患者预后之间的相关性。最后，采用RT-qPCR方法，使用GC样本和癌旁正常样本对计算机模拟结果进行评估。样本于2020年至2021年从伊朗德黑兰伊玛目霍梅尼医院收集。
与正常样本相比，癌样本中有86个微小RNA、1985个mRNA和33个假基因表现出表达改变，差异倍数大于或小于两倍。构建的ceRNA网络表明，诸如[具体假基因名称1]、[具体假基因名称2]和[具体假基因名称3]等假基因在GC中与变化的mRNA和微小RNA连接最为紧密。对每个上述假基因的ceRNA网络分析表明，相关的mRNA在细胞增殖、炎症和转移途径中发挥作用。此外，与潜在假基因相关的几个mRNA的高表达与不良预后相关。RT-qPCR显示GC样本中[具体基因名称1]、[具体基因名称2]和[具体基因名称3]的表达水平显著升高。
[具体基因名称1]、[具体基因名称2]和[具体基因名称3]在GC中的表达显著增强。它们还可通过ceRNA网络调节参与细胞增殖、炎症和转移的途径，从而影响GC患者的生存率。
