Integrative genomic and bioinformatic prioritization of drug repurposing candidates for prostate cancer.

IF 2.7 3区 医学 Q2 PHARMACOLOGY & PHARMACY
Lalu Muhammad Irham, Wirawan Adikusuma, Arief Rahman Afief, Sabiah Khairi, Rockie Chong, Syarifatul Mufidah, Rahmat Dani Satria, Eko Mugiyanto, Darmawi Darmawi, Danang Prasetyaning Amukti, Brilliant Citra Wirsahada, Petrina Theda Philothra, Indra Jaya
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引用次数: 0

Abstract

Objective: Prostate cancer remains a prevalent global health challenge, with limited treatment options for advanced stages. There is a critical need to identify effective therapies through systematic integration of genomic and biological data.

Methods: We analyzed 10,911 single nucleotide polymorphisms (SNPs) in 554 genes from genome- and phenome-wide association studies to identify biological risk genes for prostate cancer. Bioinformatic analysis was used to map these genes to key pathways and potential drug targets. Drug repurposing opportunities were assessed through Connectivity Map (CMap) transcriptomic signature analysis in the PC3 prostate cancer cell line, with additional molecular docking studies to evaluate drug-target interactions.

Results: We identified 77 prostate cancer-associated genes. Drug repurposing analysis revealed 59 drugs targeting 13 genes, including 11 approved for prostate cancer and 22 in clinical or preclinical development. Notably, 26 candidate drugs had not been previously linked to prostate cancer. CMap analysis prioritized five candidates: estradiol-benzoate and estradiol-cypionate (targeting ESR2), which showed the highest CMap scores, danazol and oxymetholone (targeting AR), and selumetinib (targeting MAP2K1/MEK), each demonstrating potential to modulate key pathways in prostate cancer. Molecular docking analysis further supported these findings, revealing that estradiol-benzoate and estradiol-cypionate have strong predicted binding affinities for ESR2, while selumetinib robustly interacts with MAP2K1. Conversely, danazol and oxymetholone displayed weaker predicted binding, suggesting a more limited capacity for direct protein engagement.

Conclusions: Integrating genomics, bioinformatics, and molecular docking provides an effective strategy for identifying and prioritizing drug repurposing candidates in prostate cancer. Estradiol-benzoate, estradiol-cypionate, and selumetinib emerge as promising candidates, meriting further preclinical and clinical evaluation for advanced prostate cancer therapy.

综合基因组学和生物信息学优先考虑前列腺癌药物再利用候选药物。
目的:前列腺癌仍然是一个普遍的全球健康挑战,晚期治疗选择有限。迫切需要通过系统整合基因组和生物学数据来确定有效的治疗方法。方法:我们分析了来自全基因组和全表型关联研究的554个基因的10911个单核苷酸多态性(SNPs),以确定前列腺癌的生物学风险基因。生物信息学分析用于将这些基因定位到关键途径和潜在的药物靶点。通过连接图(CMap)转录组特征分析评估PC3前列腺癌细胞系的药物再利用机会,并进行额外的分子对接研究以评估药物-靶标相互作用。结果:共鉴定出77个前列腺癌相关基因。药物再利用分析显示,59种药物靶向13个基因,其中11种已获批用于前列腺癌,22种处于临床或临床前开发阶段。值得注意的是,有26种候选药物之前与前列腺癌无关。CMap分析优先考虑了5个候选药物:雌二醇-苯甲酸酯和雌二醇-cypionate(靶向ESR2), CMap评分最高,danazol和oxymetholone(靶向AR), selumetinib(靶向MAP2K1/MEK),它们都显示出调节前列腺癌关键通路的潜力。分子对接分析进一步支持了这些发现,显示雌二醇-苯甲酸酯和雌二醇-cypionate对ESR2有很强的预测结合亲和力,而selumetinib与MAP2K1有很强的相互作用。相反,达那唑和羟甲氧酮显示较弱的预测结合,表明直接蛋白质结合的能力更有限。结论:基因组学、生物信息学和分子对接为前列腺癌候选药物的识别和优先排序提供了有效的策略。雌二醇-苯甲酸酯、雌二醇-cypionate和selumetinib是有希望的候选者,值得进一步的临床前和临床评估用于晚期前列腺癌治疗。
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来源期刊
BMC Pharmacology & Toxicology
BMC Pharmacology & Toxicology PHARMACOLOGY & PHARMACYTOXICOLOGY&nb-TOXICOLOGY
CiteScore
4.80
自引率
0.00%
发文量
87
审稿时长
12 weeks
期刊介绍: BMC Pharmacology and Toxicology is an open access, peer-reviewed journal that considers articles on all aspects of chemically defined therapeutic and toxic agents. The journal welcomes submissions from all fields of experimental and clinical pharmacology including clinical trials and toxicology.
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