Transcriptome analysis displays new molecular insights into the mechanisms of action of Mebendazole in gastric cancer cells

IF 7 2区 医学 Q1 BIOLOGY Computers in biology and medicine Pub Date : 2024-11-19 DOI:10.1016/j.compbiomed.2024.109415
Emerson Lucena da Silva , Felipe Pantoja Mesquita , Laine Celestino Pinto , Bruna Puty Silva Gomes , Edivaldo Herculano Correa de Oliveira , Rommel Mario Rodríguez Burbano , Maria Elisabete Amaral de Moraes , Pedro Filho Noronha de Souza , Raquel Carvalho Montenegro
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Abstract

Gastric cancer (GC) is a common cancer worldwide. Therefore, searching for effective treatments is essential, and drug repositioning can be a promising strategy to find new potential drugs for GC therapy. For the first time, we sought to identify molecular alterations and validate new mechanisms related to Mebendazole (MBZ) treatment in GC cells through transcriptome analysis using microarray technology. Data revealed 1066 differentially expressed genes (DEGs), of which 345 (2.41 %) genes were upregulated, 721 (5.04 %) genes were downregulated, and 13,231 (92.54 %) genes remained unaltered after MBZ exposure. The overexpressed genes identified were CCL2, IL1A, and CDKN1A. In contrast, the H3C7, H3C11, and H1-5 were the top 3 underexpressed genes. Gene set enrichment analysis (GSEA) identified 8 pathways significantly overexpressed in the treated group (p < 0.05 and FDR<0.25). The validation of the expression of top desregulated genes by RT-qPCR confirmed the transcriptome results, where MBZ increased the CCL2, IL1A, and CDKN1A and reduced the H3C7, H3C11, and H1-5 transcript levels. Expression analysis in samples from TCGA databases correlated that the lower ILI1A and higher H3C11 and H1-5 gene expression are associated with decreased overall survival rates in patients with GC, indicating that MBZ treatment can improve the prognosis of patients. Thus, the data demonstrated that the drug MBZ alters the transcriptome of the AGP-01 lineage, mainly modulating the expression of histone proteins and inflammatory cytokines, indicating a possible epigenetic and immunological effect on tumor cells, these findings highlight new mechanisms of action related to MBZ treatment. Additional studies are still needed to better clarify the epigenetic and immune mechanism of MBZ in the therapy of GC.

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转录组分析为了解甲苯达唑在胃癌细胞中的作用机制提供了新的分子见解。
胃癌(GC)是全球常见的癌症。因此,寻找有效的治疗方法至关重要,而药物重新定位则是为胃癌治疗寻找新的潜在药物的一种有前途的策略。我们首次利用芯片技术进行转录组分析,试图确定与甲苯咪唑(MBZ)治疗相关的分子改变并验证新机制。数据揭示了 1066 个差异表达基因(DEGs),其中 345 个(2.41 %)基因上调,721 个(5.04 %)基因下调,13,231 个(92.54 %)基因在 MBZ 暴露后保持不变。发现的过表达基因有 CCL2、IL1A 和 CDKN1A。相比之下,H3C7、H3C11 和 H1-5 是前 3 个表达不足的基因。基因组富集分析(GSEA)确定了 8 个通路在治疗组中显著过表达(p
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来源期刊
Computers in biology and medicine
Computers in biology and medicine 工程技术-工程:生物医学
CiteScore
11.70
自引率
10.40%
发文量
1086
审稿时长
74 days
期刊介绍: Computers in Biology and Medicine is an international forum for sharing groundbreaking advancements in the use of computers in bioscience and medicine. This journal serves as a medium for communicating essential research, instruction, ideas, and information regarding the rapidly evolving field of computer applications in these domains. By encouraging the exchange of knowledge, we aim to facilitate progress and innovation in the utilization of computers in biology and medicine.
期刊最新文献
An adaptive enhanced human memory algorithm for multi-level image segmentation for pathological lung cancer images. Integrating multimodal learning for improved vital health parameter estimation. Riemannian manifold-based geometric clustering of continuous glucose monitoring to improve personalized diabetes management. Transformative artificial intelligence in gastric cancer: Advancements in diagnostic techniques. Artificial intelligence and deep learning algorithms for epigenetic sequence analysis: A review for epigeneticists and AI experts.
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