揭示黑色素瘤脑转移瘤与神经退行性疾病的共同转录组特征

Irene Soler-Sáez, Alcida Karz, Marta R Hidalgo, Borja Gómez-Cabañes, Adolfo López-Cerdán, José F Català-Senent, Kylie Prutisto-Chang, Nicole M Eskow, Benjamin Izar, Torben Redmer, Swaminathan Kumar, Michael A Davies, María de la Iglesia-Vayá, Eva Hernando, Francisco García-García
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引用次数: 0

摘要

黑色素瘤因其不良后果而成为临床上的一大难题。这种类型的皮肤癌表现出对脑部微环境的独特适应性,但对其潜在的分子机制却知之甚少。最近的研究结果表明,黑色素瘤脑转移瘤(MBM)可能与各种神经退行性疾病的生物过程相似。为了进一步描述黑素瘤脑转移瘤的发展特征,我们探讨了黑素瘤脑转移瘤的转录谱与神经退行性疾病阿尔茨海默病、帕金森病和多发性硬化之间的关系。我们采用硅学方法揭示了MBM的神经退行性特征,并将其与黑色素瘤非脑转移(53个失调基因富集在11个功能术语中,如与细胞外基质和发育相关的术语)和非肿瘤脑对照(195个失调基因,主要涉及发育和细胞分化、染色质重塑和核小体组织以及翻译)进行了比较。ITGA10和DNAJC6这两个基因成为两种情况下均出现失调的关键潜在标记。最后,我们开发了一个开源、用户友好的网络工具(https://bioinfo.cipf.es/metafun-mbm/),允许对完整结果进行交互式探索。
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Unveiling Common Transcriptomic Features between Melanoma Brain Metastases and Neurodegenerative Diseases.

Melanoma represents a critical clinical challenge owing to its unfavorable outcomes. This type of skin cancer exhibits unique adaptability to the brain microenvironment, but its underlying molecular mechanisms are poorly understood. Recent findings have suggested that melanoma brain metastases may share biological processes similar to those found in various neurodegenerative diseases. To further characterize melanoma brain metastasis development, we explore the relationship between the transcriptional profiles of melanoma brain metastases and the neurodegenerative diseases Alzheimer's disease, Parkinson's disease, and multiple sclerosis. We take an in silico approach to unveil a neurodegenerative signature of melanoma brain metastases compared with those of melanoma nonbrain metastasis (53 dysregulated genes were enriched in 11 functional terms, such as associated terms to the extracellular matrix and development) and with those of nontumor-bearing brain controls (195 dysregulated genes, mostly involved in development and cell differentiation, chromatin remodeling and nucleosome organization, and translation). Two genes, ITGA10 and DNAJC6, emerged as key potential markers being dysregulated in both scenarios. Finally, we developed an open-source, user-friendly web tool (https://bioinfo.cipf.es/metafun-mbm/) that allows interactive exploration of the complete results.

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