Gliotoxin triggers cell death through multifaceted targeting of cancer-inducing genes in breast cancer therapy

IF 2.6 4区 生物学 Q2 BIOLOGY Computational Biology and Chemistry Pub Date : 2024-08-13 DOI:10.1016/j.compbiolchem.2024.108170
Sujisha S. Nambiar , Siddhartha Sankar Ghosh , Gurvinder Kaur Saini
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Abstract

Fungal secondary metabolites have a long history of contributing to pharmaceuticals, notably in the development of antibiotics and immunosuppressants. Harnessing their potent bioactivities, these compounds are now being explored for cancer therapy, by targeting and disrupting the genes that induce cancer progression. The current study explores the anticancer potential of gliotoxin, a fungal secondary metabolite, which encompasses a multi-faceted approach integrating computational predictions, molecular dynamics simulations, and comprehensive experimental validations. In-silico studies have identified potential gliotoxin targets, including MAPK1, NFKB1, HIF1A, TDP1, TRIM24, and CTSD which are involved in critical pathways in cancer such as the NF-κB signaling pathway, MAPK/ERK signaling pathway, hypoxia signaling pathway, Wnt/β-catenin pathway, and other essential cellular processes. The gene expression analysis results indicated all the identified targets are overexpressed in various breast cancer subtypes. Subsequent molecular docking and dynamics simulations have revealed stable binding of gliotoxin with TDP1 and HIF1A. Cell viability assays exhibited a dose-dependent decreasing pattern with its remarkable IC50 values of 0.32, 0.14, and 0.53 μM for MDA-MB-231, MDA-MB-468, and MCF-7 cells, respectively. Likewise, in 3D tumor spheroids, gliotoxin exhibited a notable decrease in viability indicating its effectiveness against solid tumors. Furthermore, gene expression studies using Real-time PCR revealed a reduction of expression of cancer-inducing genes, MAPK1, HIF1A, TDP1, and TRIM24 upon gliotoxin treatment. These findings collectively underscore the promising anticancer potential of gliotoxin through multi-targeting cancer-promoting genes, positioning it as a promising therapeutic option for breast cancer.

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在乳腺癌治疗中,胶质毒素通过多方面靶向诱癌基因引发细胞死亡
真菌次生代谢物对药物的贡献由来已久,特别是在抗生素和免疫抑制剂的开发方面。现在,这些化合物正利用其强大的生物活性,通过靶向干扰诱导癌症进展的基因,探索癌症疗法。目前的研究探讨了一种真菌次生代谢物胶质细胞毒素的抗癌潜力,该研究采用了一种整合了计算预测、分子动力学模拟和综合实验验证的多层面方法。这些靶点参与了癌症的关键通路,如NF-κB信号通路、MAPK/ERK信号通路、缺氧信号通路、Wnt/β-catenin通路和其他重要的细胞过程。基因表达分析结果表明,所有已确定的靶点在不同亚型的乳腺癌中都存在过表达。随后的分子对接和动力学模拟显示,胶质细胞毒素与TDP1和HIF1A稳定结合。细胞存活率检测显示出剂量依赖性递减模式,对 MDA-MB-231、MDA-MB-468 和 MCF-7 细胞的 IC50 值分别为 0.32、0.14 和 0.53 μM。同样,在三维肿瘤球形体中,胶质细胞毒素的存活率明显下降,这表明它对实体瘤有效。此外,利用实时 PCR 进行的基因表达研究显示,在使用胶质细胞毒素治疗后,诱导癌症的基因 MAPK1、HIF1A、TDP1 和 TRIM24 的表达均有所下降。这些发现共同强调了胶质细胞毒素通过多靶点促进癌基因的抗癌潜力,使其成为治疗乳腺癌的一种有前途的选择。
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来源期刊
Computational Biology and Chemistry
Computational Biology and Chemistry 生物-计算机:跨学科应用
CiteScore
6.10
自引率
3.20%
发文量
142
审稿时长
24 days
期刊介绍: Computational Biology and Chemistry publishes original research papers and review articles in all areas of computational life sciences. High quality research contributions with a major computational component in the areas of nucleic acid and protein sequence research, molecular evolution, molecular genetics (functional genomics and proteomics), theory and practice of either biology-specific or chemical-biology-specific modeling, and structural biology of nucleic acids and proteins are particularly welcome. Exceptionally high quality research work in bioinformatics, systems biology, ecology, computational pharmacology, metabolism, biomedical engineering, epidemiology, and statistical genetics will also be considered. Given their inherent uncertainty, protein modeling and molecular docking studies should be thoroughly validated. In the absence of experimental results for validation, the use of molecular dynamics simulations along with detailed free energy calculations, for example, should be used as complementary techniques to support the major conclusions. Submissions of premature modeling exercises without additional biological insights will not be considered. Review articles will generally be commissioned by the editors and should not be submitted to the journal without explicit invitation. However prospective authors are welcome to send a brief (one to three pages) synopsis, which will be evaluated by the editors.
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