Gharebaghi Alireza, Afshar Saeid, Tapak Leili, Ranjbar Hossein, Saidijam Massoud, Dinu Irina
Neurophysiology Research Center, Hamadan University of Medical Sciences, Hamadan, Iran.
Department of Molecular Medicine and Genetics, School of Medicine, Hamadan University of Medical Sciences, Hamadan, Iran.
Cancer Inform. 2024 Dec 16;23:11769351241307163. doi: 10.1177/11769351241307163. eCollection 2024.
Colorectal cancer (CRC) is a prevalent disease characterized by significant dysregulation of gene expression. Non-invasive tests that utilize microRNAs (miRNAs) have shown promise for early CRC detection. This study aims to determine the association between miRNAs and key genes in CRC.
Two datasets (GSE106817 and GSE23878) were extracted from the NCBI Gene Expression Omnibus database. Penalized logistic regression (PLR) and artificial neural networks (ANN) were used to identify relevant miRNAs and evaluate the classification accuracy of the selected miRNAs. The findings were validated through bipartite miRNA-mRNA interactions.
Our analysis identified 3 miRNAs: miR-1228, miR-6765-5p, and miR-6787-5p, achieving a total accuracy of over 90%. Based on the results of the mRNA-miRNA interaction network, CDK1 and MAD2L1 were identified as target genes of miR-6787-5p.
Our results suggest that the identified miRNAs and target genes could serve as non-invasive biomarkers for diagnosing colorectal cancer, pending laboratory confirmation.
结直肠癌（CRC）是一种普遍存在的疾病，其特征是基因表达严重失调。利用微小RNA（miRNA）的非侵入性检测方法在早期CRC检测方面显示出前景。本研究旨在确定CRC中miRNA与关键基因之间的关联。
从NCBI基因表达综合数据库中提取了两个数据集（GSE106817和GSE23878）。使用惩罚逻辑回归（PLR）和人工神经网络（ANN）来识别相关的miRNA，并评估所选miRNA的分类准确性。通过二分miRNA-mRNA相互作用对结果进行验证。
我们的分析确定了3种miRNA：miR-1228、miR-6765-5p和miR-6787-5p，总准确率超过90%。基于mRNA-miRNA相互作用网络的结果，CDK1和MAD2L1被确定为miR-6787-5p的靶基因。
我们的结果表明，在经过实验室确认之前，所确定的miRNA和靶基因可作为诊断结直肠癌的非侵入性生物标志物。
