Melatonin and cancer: Exploring gene networks and functional categories

L. Chuffa, Robson Francisco Carvalho, Victória Larissa Schimidt Camargo, Sarah Santiloni Cury, R. Domeniconi, D. Zuccari, F. Seiva
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Abstract

While melatonin is known for its multifaceted properties and its potential to combat cancer, there has been limited exploration of the cancer-melatonin interaction at the gene network level. One of the ways to better understand the molecular mechanisms of melatonin’s anti-cancer effects is to use text-mining strategies to extract relevant information that creates knowledge networks of entities and their associations. In this study, we mined gene-publication associations to search for genes most relevant to the terms of “melatonin” and “cancer”. A total of 152 genes were identified and ranked, among which 15 were kinase-related and three G-protein coupled receptor genes. The hub genes (STAT3, JUN, TP53, MAPK3, EP300, SRC, HSP90AA1, AKT1, ESR1, and IL6) were involved with several pathways in cancer. After examining the melatonin-treated cancers, we mapped 25 upregulated and 51 downregulated genes; these were strongly associated with cancer hallmarks such as resisting cell death, sustaining proliferative signaling, and inducing invasion and metastasis. Upregulated genes showed molecular functions including apoptotic protease activator, caspase activator, enzyme regulator, and protein binding, whereas the downregulated genes affected protein kinase activities, transcription factor binding, protein, enzyme, DNA, and promoter bindings. By connecting gene subsets, we detected a closer relationship among breast, hepatocellular, prostate, and oral cancers, in addition to neuroblastoma and osteosarcoma in terms of changes in melatonin-related signaling pathways. TCGA data were analyzed to understand the impact of gene signatures on survival of patients, and melatonin-downregulated genes were associated with longer survival of patients with glioblastoma, bladder, breast, colon, stomach, liver, lung, and ovarian carcinomas. These results provide a global view of gene interaction networks in melatonin-treated cancers and their functional value, opening new opportunities to consider melatonin for cancer therapy.
褪黑激素与癌症探索基因网络和功能类别
虽然褪黑素以其多方面的特性和抗癌潜力而闻名,但在基因网络层面对癌症与褪黑素相互作用的探索却很有限。更好地了解褪黑激素抗癌作用的分子机制的方法之一是使用文本挖掘策略来提取相关信息,从而创建实体及其关联的知识网络。在本研究中,我们挖掘了基因-出版物关联,以搜索与 "褪黑激素 "和 "癌症 "这两个术语最相关的基因。共发现 152 个基因并进行了排序,其中 15 个与激酶相关,3 个与 G 蛋白偶联受体相关。枢纽基因(STAT3、JUN、TP53、MAPK3、EP300、SRC、HSP90AA1、AKT1、ESR1和IL6)与癌症的多个通路有关。在研究了褪黑激素治疗的癌症后,我们绘制了25个上调基因和51个下调基因的图谱,这些基因与癌症的特征密切相关,如抵抗细胞死亡、维持增殖信号、诱导侵袭和转移。上调基因的分子功能包括凋亡蛋白酶激活剂、caspase激活剂、酶调节剂和蛋白结合,而下调基因则影响蛋白激酶活性、转录因子结合、蛋白、酶、DNA和启动子结合。通过连接基因亚群,我们发现除了神经母细胞瘤和骨肉瘤外,乳腺癌、肝癌、前列腺癌和口腔癌与褪黑激素相关信号通路的变化关系更为密切。为了了解基因特征对患者生存期的影响,对TCGA数据进行了分析,结果发现褪黑激素下调基因与胶质母细胞瘤、膀胱癌、乳腺癌、结肠癌、胃癌、肝癌、肺癌和卵巢癌患者生存期的延长有关。这些结果提供了褪黑激素治疗癌症中基因相互作用网络的全局视图及其功能价值,为考虑将褪黑激素用于癌症治疗提供了新的机会。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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